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)