Coursera - Introduction to Data Science in Python

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574.44 MB | 00:32:05 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English

Files Included :
01 introduction-to-specialization  (17.02 MB)
02 introduction-to-the-course  (23.92 MB)
06 the-coursera-jupyter-notebook-system  (15.67 MB)
09 python-functions  (35.01 MB)
10 python-types-and-sequences  (23.8 MB)
11 python-more-on-strings  (14.74 MB)
12 python-demonstration-reading-and-writing-csv-files  (5.56 MB)
13 python-dates-and-times  (9.27 MB)
14 advanced-python-objects-map  (23.82 MB)
15 advanced-python-lambda-and-list-comprehensions  (12.85 MB)
01 numerical-python-library-numpy  (42.35 MB)
02 manipulating-text-with-regular-expression  (41.87 MB)
02 introduction-to-pandas  (9.75 MB)
03 the-series-data-structure  (13.08 MB)
04 querying-a-series  (27.98 MB)
01 dataframe-data-structure  (16.66 MB)
02 dataframe-indexing-and-loading  (11.54 MB)
03 querying-a-dataframe  (12.17 MB)
04 indexing-dataframes  (10.99 MB)
05 missing-values  (14.15 MB)
06 example-manipulating-dataframe  (12.13 MB)
02 merging-dataframes  (20.02 MB)
03 pandas-idioms  (20.43 MB)
04 group-by  (31.34 MB)
05 scales  (22.32 MB)
06 pivot-table  (12.69 MB)
07 date-time-functionality  (16.95 MB)
01 basic-statistical-testing  (21.55 MB)
02 other-forms-of-structured-data  (31.45 MB)

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