Coursera - Python Data Analytics - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Coursera - Python Data Analytics (/Thread-Coursera-Python-Data-Analytics) |
Coursera - Python Data Analytics - AD-TEAM - 09-26-2024 775.45 MB | 00:13:36 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English
Files Included :
01 introduction-to-the-program (28.77 MB) 02 instructor-introduction-video (8.37 MB) 01 approaching-data-analysis-with-the-osemn-framework (14.11 MB) 02 why-python-for-data-analysis (13.24 MB) 01 jupyter-notebook-where-we-write-our-code (3.04 MB) 02 basics-of-using-jupyter-notebook (8.76 MB) 03 using-jupyter-notebook-on-coursera (6.62 MB) 05 reviewing-example-of-a-typical-notebook-on-coursera-activity (10.13 MB) 01 what-does-a-variable-mean-in-python (21.26 MB) 02 variable-types (8.07 MB) 03 working-with-types-in-python (10.73 MB) 04 reviewing-variables-in-python-activity (2.5 MB) 01 lists-tuples (17.83 MB) 02 reviewing-lists-tuples-activity (10.17 MB) 03 dictionaries (11.4 MB) 04 reviewing-dictionaries-activity (6.72 MB) 01 booleans-in-python (9.88 MB) 02 reviewing-using-booleans-activity (7.8 MB) 03 conditional-statements (19.9 MB) 04 reviewing-using-conditionals-activity (7.74 MB) 01 introduction-to-libraries (12.43 MB) 01 what-is-pandas (16.47 MB) 02 working-with-pandas-series-dataframes (21.52 MB) 04 reviewing-pandas-activity (8.65 MB) 05 subsets-with-pandas (19.37 MB) 06 reviewing-selective-subsets-activity (7.39 MB) 01 what-is-scrubbing (7.17 MB) 02 removing-data (19.1 MB) 03 reviewing-removing-data-activity (10.08 MB) 04 modifying-values (12.28 MB) 05 replacing-values (8.18 MB) 06 reviewing-replacing-values-activity (13.62 MB) 01 why-exploration (7.08 MB) 01 exploring-relates-to-scrubbing (7.35 MB) 02 exploration-basic-statistics (17.95 MB) 03 exploration-filtering-data (25.4 MB) 04 reviewing-basic-exploration-activity (9.38 MB) 01 a-picture-is-worth-a-thousand-words (12.76 MB) 02 introduction-to-the-purpose-of-visualizations (5.69 MB) 03 types-of-exploratory-visualizations-distributions (13.92 MB) 04 types-of-exploratory-visualizations-category (9.4 MB) 05 types-of-exploratory-visualizations-relationship (12.41 MB) 06 using-pandas-and-matplotlib-to-create-visualizations (18.07 MB) 07 reviewing-creating-visualizations-activity (12.25 MB) 08 understanding-visualizations-for-exploration (14.91 MB) 09 reviewing-exploring-with-visualization-activity (9.84 MB) 01 where-aggregations-help-us-understand-data (8.3 MB) 02 working-with-groups-in-pandas (22.25 MB) 03 reviewing-aggregations-activity (6.53 MB) 01 modeling-interpreting-data (6.33 MB) 02 overview-of-modeling (12.99 MB) 03 modeling-with-python (28.92 MB) 01 overview-of-interpreting (20.61 MB) 02 interpreting-model-results (16.54 MB) 03 exploratory-vs-explanatory-visualizations (13.72 MB) 04 creating-explanatory-visualizations (20.23 MB) 01 osemn-tying-it-all-together (28.9 MB) 02 reviewing-full-osemn-activity (28.63 MB)
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