Урок #1 1-introduction-35
15:08
Урок #2 2-best-coding-practices
5:32
Урок #3 3-python-_-pycharm-_ide_-configuration
16:09
Урок #4 4-demo-1-data-types-_-creating-variables
18:39
Урок #5 5-demo-2-listsmatricesdictionaries
17:30
Урок #6 6-demo-3-for-loops-in-python
16:53
Урок #7 7-demo-4-if-else-statements
20:00
Урок #8 8-demo-5-python-libraries-for-data-science
18:04
Урок #9 9-demo-6-loading-data-in-python
16:05
Урок #10 10-demo-7-data-exploration-_-preprocessing
14:32
Урок #11 11-demo-8-random-data-generation-_data-simulation_
19:52
Урок #12 12-demo-9-filtering_-sorting_-grouping
21:07
Урок #13 13-demo-10-descriptive-statistics
15:49
Урок #14 14-demo-11-merging-_-joining-datasets
21:26
Урок #15 15-demo-12-user-defined-functions-_udf_
13:50
Урок #16 16-demo-13-text-cleaning-and-preparation-in-nlp
21:11
Урок #17 17-demo-14-data-visualization-in-python
20:56
Урок #18 18-demo-15-data-sampling-_part-1_-theory
28:15
Урок #19 19-demo-16-data-sampling-_part-2_-coding
20:33
Урок #20 20-demo-17-ab-test-results-analysis-_part-1_-theory
22:48
Урок #21 21-demo-18-ab-test-results-analysis-_part-2_-coding
17:26
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