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[CourseClub.Me] Coursera - IBM Data Science Professional Certificate
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what-is-datascience
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03_data-science-in-business
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02_careers-and-recruiting-in-data-science
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02_recruiting-for-data-science.mp4 - 39.16 MB
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04_high-school-students-and-data-science-careers.mp4 - 28.78 MB
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01_how-can-someone-become-a-data-scientist.mp4 - 24.08 MB
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03_careers-in-data-science.mp4 - 4.8 MB
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02_recruiting-for-data-science.en.srt - 11.34 KB
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02_recruiting-for-data-science.en.txt - 7.11 KB
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01_how-can-someone-become-a-data-scientist.en.srt - 7.03 KB
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04_high-school-students-and-data-science-careers.en.srt - 5.67 KB
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01_how-can-someone-become-a-data-scientist.en.txt - 3.82 KB
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03_careers-in-data-science.en.srt - 3.68 KB
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04_high-school-students-and-data-science-careers.en.txt - 3.49 KB
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03_careers-in-data-science.en.txt - 2.36 KB
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05_lesson-summary_instructions.html - 1.58 KB
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01_data-science-in-business
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02_how-should-companies-get-started-in-data-science.mp4 - 12.3 MB
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01_how-data-science-is-saving-lives.mp4 - 11.55 MB
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03_applications-of-data-science.mp4 - 8.42 MB
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03_applications-of-data-science.en.srt - 5.92 KB
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01_how-data-science-is-saving-lives.en.srt - 5.8 KB
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02_how-should-companies-get-started-in-data-science.en.srt - 3.99 KB
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01_how-data-science-is-saving-lives.en.txt - 3.96 KB
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03_applications-of-data-science.en.txt - 3.08 KB
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02_how-should-companies-get-started-in-data-science.en.txt - 2.48 KB
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04_the-final-deliverable_exam.html - 2.21 KB
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05_lesson-summary_instructions.html - 1.85 KB
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06_digital-badge
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01_ibm-digital-badge_instructions.html - 153.96 KB
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05_final-exam
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01_final-exam_exam.html - 9.62 KB
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03_the-report-structure
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01_the-report-structure_exam.html - 2.42 KB
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02_lesson-summary_instructions.html - 1.48 KB
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04_final-assignment
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01_final-assignment_peer_assignment_instructions.html - 1.78 KB
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02_data-science-topics
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02_deep-learning-and-machine-learning
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02_neural-networks-and-deep-learning.mp4 - 31.61 MB
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03_applications-of-machine-learning.mp4 - 20.71 MB
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01_whats-the-difference.mp4 - 9.52 MB
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02_neural-networks-and-deep-learning.en.srt - 7.61 KB
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01_whats-the-difference.en.srt - 6.5 KB
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02_neural-networks-and-deep-learning.en.txt - 4.79 KB
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03_applications-of-machine-learning.en.srt - 4.23 KB
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01_whats-the-difference.en.txt - 3.55 KB
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03_applications-of-machine-learning.en.txt - 2.61 KB
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04_regression_exam.html - 2.52 KB
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05_lesson-summary_instructions.html - 1.56 KB
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01_big-data-and-data-mining
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02_what-is-hadoop.mp4 - 31.26 MB
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04_data-science-skills-big-data.mp4 - 21.19 MB
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05_data-scientists-at-new-york-university.mp4 - 18.81 MB
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01_foundations-of-big-data.mp4 - 14.67 MB
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03_how-big-data-is-driving-digital-transformation.mp4 - 7.76 MB
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02_what-is-hadoop.en.srt - 9.39 KB
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01_foundations-of-big-data.en.srt - 6.48 KB
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04_data-science-skills-big-data.en.srt - 5.9 KB
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05_data-scientists-at-new-york-university.en.srt - 5.49 KB
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03_how-big-data-is-driving-digital-transformation.en.srt - 4.83 KB
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02_what-is-hadoop.en.txt - 4.78 KB
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01_foundations-of-big-data.en.txt - 4.16 KB
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04_data-science-skills-big-data.en.txt - 3.25 KB
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03_how-big-data-is-driving-digital-transformation.en.txt - 3.21 KB
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05_data-scientists-at-new-york-university.en.txt - 3.01 KB
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06_data-mining_exam.html - 2.85 KB
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07_lesson-summary_instructions.html - 1.45 KB
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01_defining-data-science-and-what-data-scientists-do
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03_what-do-data-scientists-do
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03_data-science-topics-and-algorithms.mp4 - 18.15 MB
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01_a-day-in-the-life-of-a-data-scientist.mp4 - 17.03 MB
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04_cloud-for-data-science.mp4 - 11.72 MB
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02_old-problems-new-problems-data-science-solutions.mp4 - 11.57 MB
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01_a-day-in-the-life-of-a-data-scientist.en.srt - 5.91 KB
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04_cloud-for-data-science.en.srt - 5.54 KB
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03_data-science-topics-and-algorithms.en.srt - 5.53 KB
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02_old-problems-new-problems-data-science-solutions.en.srt - 5.05 KB
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01_a-day-in-the-life-of-a-data-scientist.en.txt - 3.5 KB
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03_data-science-topics-and-algorithms.en.txt - 3.45 KB
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02_old-problems-new-problems-data-science-solutions.en.txt - 3.3 KB
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05_what-makes-someone-a-data-scientist_exam.html - 2.98 KB
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04_cloud-for-data-science.en.txt - 2.89 KB
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06_lesson-summary_instructions.html - 1.43 KB
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02_defining-data-science
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03_the-many-paths-to-data-science.mp4 - 15.59 MB
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04_advice-for-new-data-scientists.mp4 - 12.94 MB
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02_fundamentals-of-data-science.mp4 - 11.5 MB
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01_what-is-data-science.mp4 - 11.06 MB
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03_the-many-paths-to-data-science.en.srt - 5.49 KB
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04_advice-for-new-data-scientists.en.srt - 4.4 KB
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01_what-is-data-science.en.srt - 3.65 KB
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05_data-science-the-sexiest-job-in-the-21st-century_exam.html - 3.35 KB
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03_the-many-paths-to-data-science.en.txt - 3.28 KB
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02_fundamentals-of-data-science.en.srt - 3.04 KB
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04_advice-for-new-data-scientists.en.txt - 2.65 KB
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02_fundamentals-of-data-science.en.txt - 2.16 KB
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01_what-is-data-science.en.txt - 2.14 KB
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06_lesson-summary_instructions.html - 1.61 KB
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01_syllabus
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01_course-syllabus_instructions.html - 3.79 KB
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02_professional-certificate-career-support_instructions.html - 2.73 KB
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machine-learning-with-python
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04_linear-classification
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01_logistic-regression
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02_logistic-regression-vs-linear-regression.mp4 - 21.73 MB
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03_logistic-regression-training.mp4 - 20.91 MB
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01_intro-to-logistic-regression.mp4 - 11.87 MB
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02_logistic-regression-vs-linear-regression.en.srt - 19.71 KB
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03_logistic-regression-training.en.srt - 18.92 KB
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02_logistic-regression-vs-linear-regression.en.txt - 11.85 KB
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03_logistic-regression-training.en.txt - 11.64 KB
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01_intro-to-logistic-regression.en.srt - 10.05 KB
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01_intro-to-logistic-regression.en.txt - 6.57 KB
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02_support-vector-machine
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01_support-vector-machine.mp4 - 12.6 MB
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01_support-vector-machine.en.srt - 10.86 KB
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01_support-vector-machine.en.txt - 6.83 KB
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03_multiclass-prediction
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01_multiclass-prediction_instructions.html - 1.79 MB
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02_regression
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01_linear-regression
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05_multiple-linear-regression.mp4 - 19.87 MB
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02_simple-linear-regression.mp4 - 18.41 MB
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03_model-evaluation-in-regression-models.mp4 - 13.18 MB
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01_introduction-to-regression.mp4 - 6.99 MB
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04_evaluation-metrics-in-regression-models.mp4 - 5.06 MB
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05_multiple-linear-regression.en.srt - 17.31 KB
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02_simple-linear-regression.en.srt - 15.32 KB
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03_model-evaluation-in-regression-models.en.srt - 11.3 KB
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05_multiple-linear-regression.en.txt - 10.55 KB
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02_simple-linear-regression.en.txt - 9.51 KB
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03_model-evaluation-in-regression-models.en.txt - 6.9 KB
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01_introduction-to-regression.en.srt - 5.19 KB
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04_evaluation-metrics-in-regression-models.en.srt - 4.65 KB
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01_introduction-to-regression.en.txt - 3.8 KB
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04_evaluation-metrics-in-regression-models.en.txt - 2.44 KB
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03_classification
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02_decision-trees
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02_building-decision-trees.mp4 - 17.78 MB
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01_introduction-to-decision-trees.mp4 - 6.04 MB
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02_building-decision-trees.en.srt - 12.7 KB
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02_building-decision-trees.en.txt - 7.72 KB
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01_introduction-to-decision-trees.en.srt - 5.37 KB
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01_introduction-to-decision-trees.en.txt - 3.12 KB
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01_k-nearest-neighbours
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02_k-nearest-neighbours.mp4 - 13.4 MB
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03_evaluation-metrics-in-classification.mp4 - 10.88 MB
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01_introduction-to-classification.mp4 - 6.27 MB
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02_k-nearest-neighbours.en.srt - 11.82 KB
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03_evaluation-metrics-in-classification.en.srt - 8.18 KB
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02_k-nearest-neighbours.en.txt - 7.07 KB
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03_evaluation-metrics-in-classification.en.txt - 5.34 KB
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01_introduction-to-classification.en.srt - 5.11 KB
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01_introduction-to-classification.en.txt - 3.16 KB
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03_regression-trees-optional
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01_regression-trees_instructions.html - 513.55 KB
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05_clustering
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01_k-means-clustering
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02_intro-to-k-means.mp4 - 14.77 MB
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01_intro-to-clustering.mp4 - 12.48 MB
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03_more-on-k-means.mp4 - 5.4 MB
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01_intro-to-clustering.en.srt - 10.46 KB
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02_intro-to-k-means.en.srt - 10.27 KB
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02_intro-to-k-means.en.txt - 7.59 KB
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01_intro-to-clustering.en.txt - 6.57 KB
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03_more-on-k-means.en.srt - 4.94 KB
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03_more-on-k-means.en.txt - 3.09 KB
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01_introduction-to-machine-learning
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02_what-is-machine-learning
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02_introduction-to-machine-learning.mp4 - 14.02 MB
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04_supervised-vs-unsupervised.mp4 - 9.53 MB
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03_python-for-machine-learning.mp4 - 8.78 MB
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01_welcome.mp4 - 6.92 MB
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02_introduction-to-machine-learning.en.srt - 11.13 KB
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04_supervised-vs-unsupervised.en.srt - 8.02 KB
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03_python-for-machine-learning.en.srt - 7.52 KB
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02_introduction-to-machine-learning.en.txt - 7.3 KB
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04_supervised-vs-unsupervised.en.txt - 4.78 KB
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03_python-for-machine-learning.en.txt - 4.74 KB
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01_welcome.en.srt - 3.55 KB
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01_welcome.en.txt - 2.6 KB
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01_welcome
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01_course-introduction.mp4 - 8.4 MB
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01_course-introduction.en.srt - 5.85 KB
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01_course-introduction.en.txt - 3.87 KB
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06_final-exam-and-project
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02_ibm-digital-badge
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01_ibm-digital-badge_instructions.html - 248.83 KB
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03_final-project
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01_project-scenario_ML0101EN_SkillUp_FinalAssignment.ipynb - 20.73 KB
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01_project-scenario_instructions.html - 2.42 KB
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01_congratulations
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01_congratulations_instructions.html - 1.74 KB
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open-source-tools-for-data-science
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02_open-source-tools
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03_github
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06_contributing-to-repositories-via-pull-request-optional.mp4 - 19.77 MB
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04_git-and-github-via-command-line-optional.mp4 - 18.17 MB
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05_branching-and-merging-via-command-line-optional.mp4 - 14.28 MB
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03_github-working-with-branches.mp4 - 8.49 MB
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01_overview-of-git-github.mp4 - 7.28 MB
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02_github-getting-started.mp4 - 5.18 MB
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04_git-and-github-via-command-line-optional.en.srt - 10.79 KB
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06_contributing-to-repositories-via-pull-request-optional.en.srt - 8.49 KB
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03_github-working-with-branches.en.srt - 7.12 KB
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06_contributing-to-repositories-via-pull-request-optional.en.txt - 5.61 KB
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04_git-and-github-via-command-line-optional.en.txt - 5.46 KB
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01_overview-of-git-github.en.srt - 5.12 KB
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03_github-working-with-branches.en.txt - 4.71 KB
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05_branching-and-merging-via-command-line-optional.en.srt - 3.96 KB
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02_github-getting-started.en.srt - 3.54 KB
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01_overview-of-git-github.en.txt - 3.5 KB
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05_branching-and-merging-via-command-line-optional.en.txt - 2.57 KB
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02_github-getting-started.en.txt - 2.43 KB
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02_rstudio-ide
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02_plotting-within-rstudio.mp4 - 6.11 MB
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01_introduction-to-r-and-rstudio.mp4 - 5.36 MB
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02_plotting-within-rstudio.en.srt - 4.69 KB
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01_introduction-to-r-and-rstudio.en.srt - 3.6 KB
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02_plotting-within-rstudio.en.txt - 3.01 KB
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01_introduction-to-r-and-rstudio.en.txt - 2.42 KB
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01_jupyter-notebook-and-jupyterlab
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02_getting-started-with-jupyter.mp4 - 5.81 MB
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01_introduction-to-jupyter-notebook.mp4 - 5.55 MB
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04_jupyter-architecture.mp4 - 3.37 MB
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03_jupyter-kernels.mp4 - 3.22 MB
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02_getting-started-with-jupyter.en.srt - 4.62 KB
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01_introduction-to-jupyter-notebook.en.srt - 4.6 KB
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02_getting-started-with-jupyter.en.txt - 3.2 KB
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01_introduction-to-jupyter-notebook.en.txt - 3.05 KB
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03_jupyter-kernels.en.srt - 2.64 KB
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04_jupyter-architecture.en.srt - 2.28 KB
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03_jupyter-kernels.en.txt - 1.68 KB
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04_jupyter-architecture.en.txt - 1.56 KB
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03_ibm-tools-for-data-science
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02_other-ibm-tools
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03_data-refinery.mp4 - 15.14 MB
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06_spss-statistics.mp4 - 13.5 MB
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05_ibm-spss-modeler.mp4 - 13.33 MB
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09_ibm-watson-openscale.mp4 - 12.54 MB
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02_ibm-watson-knowledge-catalog.mp4 - 10.63 MB
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04_spss-modeler-flows-in-watson-studio.mp4 - 9.14 MB
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07_model-deployment-with-watson-machine-learning.mp4 - 8.36 MB
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08_auto-ai-in-watson-studio.mp4 - 6.81 MB
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01_other-ibm-tools-for-data-science.mp4 - 1.76 MB
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06_spss-statistics.en.srt - 9.32 KB
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09_ibm-watson-openscale.en.srt - 8.47 KB
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05_ibm-spss-modeler.en.srt - 8.4 KB
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04_spss-modeler-flows-in-watson-studio.en.srt - 7.66 KB
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02_ibm-watson-knowledge-catalog.en.srt - 7.17 KB
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03_data-refinery.en.srt - 6.88 KB
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06_spss-statistics.en.txt - 6.61 KB
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09_ibm-watson-openscale.en.txt - 6.26 KB
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05_ibm-spss-modeler.en.txt - 5.82 KB
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07_model-deployment-with-watson-machine-learning.en.srt - 5.3 KB
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02_ibm-watson-knowledge-catalog.en.txt - 5.19 KB
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08_auto-ai-in-watson-studio.en.srt - 5.1 KB
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04_spss-modeler-flows-in-watson-studio.en.txt - 5.01 KB
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03_data-refinery.en.txt - 3.94 KB
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07_model-deployment-with-watson-machine-learning.en.txt - 3.72 KB
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08_auto-ai-in-watson-studio.en.txt - 3.31 KB
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01_other-ibm-tools-for-data-science.en.srt - 1.32 KB
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01_other-ibm-tools-for-data-science.en.txt - 716 B
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01_watson-studio
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01_what-is-ibm-watson-studio.mp4 - 11 MB
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02_watson-studio-introduction.mp4 - 8.43 MB
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05_jupyter-notebook-in-watson-studio-part-2.mp4 - 8.03 MB
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06_linking-github-to-watson-studio.mp4 - 5.89 MB
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04_jupyter-notebook-in-watson-studio-part-1.mp4 - 5.49 MB
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03_creating-an-account-on-ibm-watson-studio.mp4 - 5.07 MB
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01_what-is-ibm-watson-studio.en.srt - 5.4 KB
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02_watson-studio-introduction.en.srt - 5.16 KB
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05_jupyter-notebook-in-watson-studio-part-2.en.srt - 5.07 KB
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01_what-is-ibm-watson-studio.en.txt - 3.71 KB
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04_jupyter-notebook-in-watson-studio-part-1.en.srt - 3.66 KB
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02_watson-studio-introduction.en.txt - 3.58 KB
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06_linking-github-to-watson-studio.en.srt - 3.54 KB
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03_creating-an-account-on-ibm-watson-studio.en.srt - 2.66 KB
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05_jupyter-notebook-in-watson-studio-part-2.en.txt - 2.49 KB
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04_jupyter-notebook-in-watson-studio-part-1.en.txt - 1.81 KB
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06_linking-github-to-watson-studio.en.txt - 1.79 KB
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03_creating-an-account-on-ibm-watson-studio.en.txt - 1.77 KB
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01_data-scientists-toolkit
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02_data-science-tools
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05_cloud-based-tools-for-data-science.mp4 - 11.87 MB
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02_open-source-tools-for-data-science-part-1.mp4 - 10.19 MB
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03_open-source-tools-for-data-science-part-2.mp4 - 9.56 MB
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04_commercial-tools-for-data-science.mp4 - 8.58 MB
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01_categories-of-data-science-tools.mp4 - 4.21 MB
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05_cloud-based-tools-for-data-science.en.srt - 9.74 KB
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02_open-source-tools-for-data-science-part-1.en.srt - 8.57 KB
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04_commercial-tools-for-data-science.en.srt - 7.57 KB
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03_open-source-tools-for-data-science-part-2.en.srt - 6.74 KB
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05_cloud-based-tools-for-data-science.en.txt - 6.43 KB
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02_open-source-tools-for-data-science-part-1.en.txt - 5.7 KB
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04_commercial-tools-for-data-science.en.txt - 4.92 KB
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03_open-source-tools-for-data-science-part-2.en.txt - 4.42 KB
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01_categories-of-data-science-tools.en.srt - 3 KB
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01_categories-of-data-science-tools.en.txt - 1.95 KB
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01_languages-of-data-science
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06_other-languages.mp4 - 11.1 MB
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04_introduction-to-r-language.mp4 - 7.04 MB
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03_introduction-to-python.mp4 - 6.57 MB
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05_introduction-to-sql.mp4 - 6.01 MB
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01_course-introduction.mp4 - 5.21 MB
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02_languages-of-data-science.mp4 - 3.79 MB
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06_other-languages.en.srt - 7.26 KB
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06_other-languages.en.txt - 4.78 KB
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03_introduction-to-python.en.srt - 4.53 KB
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01_course-introduction.en.srt - 4.45 KB
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04_introduction-to-r-language.en.srt - 4.31 KB
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05_introduction-to-sql.en.srt - 3.95 KB
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03_introduction-to-python.en.txt - 2.91 KB
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01_course-introduction.en.txt - 2.9 KB
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04_introduction-to-r-language.en.txt - 2.86 KB
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02_languages-of-data-science.en.srt - 2.73 KB
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05_introduction-to-sql.en.txt - 2.6 KB
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02_languages-of-data-science.en.txt - 1.81 KB
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03_packages-apis-data-sets-and-models
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05_machine-learning-models.mp4 - 10.16 MB
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03_data-sets-powering-data-science.mp4 - 9.23 MB
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06_the-model-asset-exchange.mp4 - 8.53 MB
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01_libraries-for-data-science.mp4 - 7.52 MB
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02_application-programming-interfaces-api.mp4 - 6.89 MB
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04_sharing-enterprise-data-data-asset-exchange.mp4 - 4.82 MB
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05_machine-learning-models.en.srt - 8.9 KB
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03_data-sets-powering-data-science.en.srt - 7.76 KB
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06_the-model-asset-exchange.en.srt - 7.2 KB
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05_machine-learning-models.en.txt - 5.92 KB
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01_libraries-for-data-science.en.srt - 5.67 KB
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03_data-sets-powering-data-science.en.txt - 5.14 KB
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06_the-model-asset-exchange.en.txt - 4.78 KB
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02_application-programming-interfaces-api.en.srt - 4.57 KB
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01_libraries-for-data-science.en.txt - 3.69 KB
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04_sharing-enterprise-data-data-asset-exchange.en.srt - 3.65 KB
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02_application-programming-interfaces-api.en.txt - 3.25 KB
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04_sharing-enterprise-data-data-asset-exchange.en.txt - 2.5 KB
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04_final-assignment-create-and-share-your-jupyter-notebook
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01_digital-badge
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01_ibm-digital-badge_instructions.html - 183.94 KB
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python-for-applied-data-science-ai
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03_python-programming-fundamentals
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03_functions
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01_functions.mp4 - 17.83 MB
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01_functions.en.srt - 16.64 KB
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01_functions.en.txt - 11.18 KB
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05_objects-and-classes
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01_objects-and-classes.mp4 - 15.15 MB
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01_objects-and-classes.en.srt - 16.9 KB
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01_objects-and-classes.en.txt - 9.96 KB
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01_conditions-and-branching
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01_conditions-and-branching.mp4 - 13.3 MB
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01_conditions-and-branching.en.srt - 15.54 KB
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01_conditions-and-branching.en.txt - 8.81 KB
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02_loops
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01_loops.mp4 - 8.82 MB
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01_loops.en.srt - 9.86 KB
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01_loops.en.txt - 6 KB
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04_exception-handling
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01_exception-handling.mp4 - 5.46 MB
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01_exception-handling.en.txt - 3.43 KB
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04_working-with-data-in-python
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03_numpy-in-python
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01_one-dimensional-numpy.mp4 - 14.69 MB
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02_two-dimensional-numpy.mp4 - 9.5 MB
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01_one-dimensional-numpy.en.srt - 18.21 KB
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02_two-dimensional-numpy.en.srt - 12.03 KB
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01_one-dimensional-numpy.en.txt - 9.47 KB
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02_two-dimensional-numpy.en.txt - 6.19 KB
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01_reading-writing-files-with-open
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01_reading-files-with-open.mp4 - 5.32 MB
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02_writing-files-with-open.mp4 - 4.34 MB
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01_reading-files-with-open.en.srt - 5.45 KB
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02_pandas
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01_loading-data-with-pandas.mp4 - 4.43 MB
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02_pandas-working-with-and-saving-data.mp4 - 3.04 MB
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01_loading-data-with-pandas.en.srt - 4.27 KB
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02_pandas-working-with-and-saving-data.en.txt - 1.77 KB
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02_python-data-structures
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01_lists-and-tuples
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01_list-and-tuples.mp4 - 12.31 MB
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01_list-and-tuples.en.srt - 11.31 KB
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03_sets
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01_sets.mp4 - 7.63 MB
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01_sets.en.srt - 7.35 KB
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01_sets.en.txt - 4.17 KB
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02_dictionaries
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01_dictionaries.mp4 - 4.2 MB
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01_dictionaries.en.txt - 2.11 KB
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05_apis-and-data-collection
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02_rest-apis-webscraping-and-working-with-files
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04_webscraping.mp4 - 7.48 MB
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03_optional-html-for-webscraping.mp4 - 7.17 MB
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02_rest-apis-http-requests-part-2.mp4 - 6.74 MB
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01_rest-apis-http-requests-part-1.mp4 - 5.71 MB
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04_webscraping.en.srt - 6.53 KB
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02_rest-apis-http-requests-part-2.en.srt - 6.17 KB
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05_working-with-different-file-formats-csv-xml-json-xlsx.mp4 - 0 B
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01_simple-apis
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01_simple-apis-part-1.mp4 - 7.34 MB
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02_simple-apis-part-2.mp4 - 7.25 MB
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03_course-wrap-up
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02_python-cheat-sheet-the-basics_Python_Cheat_Sheet_-_The_Basics_Coursera.pdf - 6.11 MB
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01_next-steps_instructions.html - 3.58 KB
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02_python-cheat-sheet-the-basics_instructions.html - 1.33 KB
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06_Resources
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01_python-cheat-sheet-the-basics
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01__Python_Cheat_Sheet_-_The_Basics_Coursera.pdf - 6.11 MB
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01__resources.html - 1.16 KB
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01_python-basics
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04_string-operations
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03_expressions-and-variables
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02_types
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01_types.en.txt - 2.4 KB
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01_about-the-course
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01_about-this-course_instructions.html - 2.15 KB
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sql-data-science
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04_accessing-databases-using-python
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01_accessing-databases-using-python
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05_analyzing-data-with-python.mp4 - 15.51 MB
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01_how-to-access-databases-using-python.mp4 - 8.77 MB
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02_writing-code-using-db-api.mp4 - 8.4 MB
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04_creating-tables-loading-data-and-querying-data.mp4 - 6.33 MB
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03_connecting-to-a-database-using-ibm-db-api.mp4 - 3.57 MB
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05_analyzing-data-with-python.en.srt - 14.55 KB
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05_analyzing-data-with-python.en.txt - 8.77 KB
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01_how-to-access-databases-using-python.en.srt - 7.68 KB
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04_creating-tables-loading-data-and-querying-data.en.srt - 5.22 KB
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06_summary-highlights_instructions.html - 2.69 KB
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05_course-assignment
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01_assignment-preparation-working-with-real-world-data-sets-and-built-in-sql
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01_working-with-real-world-datasets.mp4 - 13.63 MB
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02_getting-table-and-column-details.mp4 - 6.88 MB
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01_working-with-real-world-datasets.en.srt - 11.01 KB
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02_getting-table-and-column-details.en.srt - 5.5 KB
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02_getting-table-and-column-details.en.txt - 2.79 KB
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02_course-wrap-up
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01_congratulations-next-steps_instructions.html - 2.85 KB
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03_intermediate-sql
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02_functions-multiple-tables-and-sub-queries
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04_working-with-multiple-tables.mp4 - 12.8 MB
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01_built-in-database-functions.mp4 - 10.51 MB
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03_sub-queries-and-nested-selects.mp4 - 8.6 MB
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02_date-and-time-built-in-functions.mp4 - 4.95 MB
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04_working-with-multiple-tables.en.srt - 7.74 KB
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01_built-in-database-functions.en.srt - 7.26 KB
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02_date-and-time-built-in-functions.en.srt - 3.45 KB
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05_summary-highlights_instructions.html - 1.84 KB
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02_date-and-time-built-in-functions.en.txt - 1.7 KB
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01_refining-your-results
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03_grouping-result-sets.mp4 - 5.46 MB
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02_sorting-result-sets.mp4 - 4.93 MB
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06_bonus-module-advanced-sql-for-data-engineering-honors
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03_join-statements
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03_outer-joins.mp4 - 8.84 MB
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01_join-overview.mp4 - 6.5 MB
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02_inner-join.mp4 - 4.44 MB
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03_outer-joins.en.srt - 7.69 KB
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02_inner-join.en.txt - 2.25 KB
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04_summary-highlights_instructions.html - 1.85 KB
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02_views-stored-procedures-and-transactions
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03_acid-transactions.mp4 - 6.36 MB
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01_views.mp4 - 6.33 MB
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02_stored-procedures.mp4 - 4.97 MB
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04_summary-highlights_instructions.html - 1.71 KB
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01_about-this-honors-module
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01_about-this-honors-module_instructions.html - 1.47 KB
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02_introduction-to-relational-databases-and-tables
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01_introduction-to-relational-databases-and-tables
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05_alter-drop-and-truncate-tables.mp4 - 6.3 MB
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04_create-table-statement.mp4 - 6.02 MB
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03_types-of-sql-statements-ddl-vs-dml.mp4 - 3.75 MB
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06_summary-highlights_instructions.html - 1.81 KB
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03_types-of-sql-statements-ddl-vs-dml.en.txt - 1.67 KB
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01_getting-started-with-sql
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04_select-statement.mp4 - 6.78 MB
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07_update-and-delete-statements.mp4 - 5.78 MB
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06_insert-statement.mp4 - 4.58 MB
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05_count-distinct-limit.mp4 - 4.26 MB
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01_welcome-to-sql-for-data-science.mp4 - 3.89 MB
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02_about-hands-on-labs-in-this-course_instructions.html - 1.77 KB
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data-analysis-with-python
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01_model-evaluation-and-refinement.mp4 - 10.76 MB
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05_grid-search.mp4 - 7.21 MB
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04_ridge-regression.mp4 - 6.01 MB
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02_overfitting-underfitting-and-model-selection.mp4 - 5.92 MB
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05_grid-search.en.txt - 3.97 KB
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06_lesson-summary_instructions.html - 1.74 KB
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03_ridge-regression-introduction_instructions.html - 1.31 KB
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04_model-development
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02_linear-regression-and-multiple-linear-regression.mp4 - 9.37 MB
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06_prediction-and-decision-making.mp4 - 8.73 MB
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03_model-evaluation-using-visualization.mp4 - 6.76 MB
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04_polynomial-regression-and-pipelines.mp4 - 6.5 MB
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05_measures-for-in-sample-evaluation.mp4 - 5.41 MB
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01_model-development.mp4 - 2.83 MB
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02_linear-regression-and-multiple-linear-regression.en.srt - 8.57 KB
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03_model-evaluation-using-visualization.en.srt - 6.85 KB
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06_prediction-and-decision-making.en.srt - 6.83 KB
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04_polynomial-regression-and-pipelines.en.srt - 6.4 KB
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02_data-wrangling
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02_dealing-with-missing-values-in-python.mp4 - 8.58 MB
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04_data-normalization-in-python.mp4 - 5.13 MB
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03_data-formatting-in-python.mp4 - 5.04 MB
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01_pre-processing-data-in-python.mp4 - 3.35 MB
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06_turning-categorical-variables-into-quantitative-variables-in-python.mp4 - 3 MB
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05_binning-in-python.mp4 - 2.68 MB
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02_dealing-with-missing-values-in-python.en.srt - 8.31 KB
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02_dealing-with-missing-values-in-python.en.txt - 5.16 KB
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06_turning-categorical-variables-into-quantitative-variables-in-python.en.srt - 2.52 KB
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05_binning-in-python.en.srt - 2.33 KB
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03_exploratory-data-analysis
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06_association-between-two-categorical-variables-chi-square.mp4 - 7.53 MB
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02_descriptive-statistics.mp4 - 6.69 MB
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03_groupby-in-python.mp4 - 4.74 MB
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05_correlation-statistics.mp4 - 3.91 MB
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04_correlation.mp4 - 3.74 MB
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01_exploratory-data-analysis.mp4 - 1.93 MB
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02_descriptive-statistics.en.srt - 6.76 KB
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06_association-between-two-categorical-variables-chi-square.en.srt - 6.34 KB
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01_importing-datasets
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04_importing-and-exporting-data-in-python.mp4 - 6.71 MB
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05_getting-started-analyzing-data-in-python.mp4 - 6.36 MB
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06_accessing-databases-with-python.mp4 - 5.53 MB
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02_understanding-the-data.mp4 - 4.76 MB
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03_python-packages-for-data-science.mp4 - 3.53 MB
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01_project-scenario_House_Sales_in_King_Count_USA.ipynb - 17.49 KB
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python-for-data-visualization
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InfoHash:
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