https://img87.pixhost.to/images/599/359020115_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)
[align=center]
Screenshot
https://images2.imgbox.com/61/ae/hmRb52KD_o.jpg

[/align]

Код:
https://ddownload.com/f7p2lyfvtogx/Coursera.-.Python.Data.Analytics.rar
Код:
https://rapidgator.net/file/ac4dba8c898255855237c7871bc5e25f/Coursera.-.Python.Data.Analytics.rar
Код:
https://turbobit.net/3pvc14l9zk6e/Coursera.-.Python.Data.Analytics.rar.html