Softwarez.Info - Software's World!
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

[Image: 359020115_tuto.jpg]
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)
Screenshot
[Image: hmRb52KD_o.jpg]

[To see links please register or login]

[To see links please register or login]

[To see links please register or login]