Python and Statistics Foundations

[kingers]

1.46 GB | 00:07:33 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
01 specialization-introduction.mp4 (16.16 MB)
03 course-introduction.mp4 (11.76 MB)
06 programming-language-and-myths.mp4 (20.15 MB)
07 python-for-ai-ml-code-simpliCity.mp4 (15.97 MB)
08 python-for-ai-ml-ease-of-learning.mp4 (15.14 MB)
09 python-tokens-types.mp4 (12.4 MB)
10 literals.mp4 (26.16 MB)
11 operators-basic-operators.mp4 (46.16 MB)
12 operators-membership-and-identity-operators.mp4 (22.48 MB)
01 explaining-data-types-in-python.mp4 (8.07 MB)
02 demonstration-of-data-types-numeric-sequence-and-mapping.mp4 (35.73 MB)
01 executing-conditional-statement.mp4 (22.98 MB)
02 demonstration-of-if-else-statement.mp4 (15.72 MB)
03 executing-while-loop.mp4 (15.38 MB)
04 demonstration-of-for-loop.mp4 (21.9 MB)
05 looping-multiple-conditions.mp4 (16.23 MB)
01 file-handling.mp4 (18.88 MB)
03 manipulating-files.mp4 (32.13 MB)
04 user-defined-functions.mp4 (30.87 MB)
05 variable-argument-and-variable-keyword-argument.mp4 (18.04 MB)
06 lambda-functions.mp4 (25.16 MB)
07 more-on-functions-and-arguments.mp4 (21.04 MB)
08 modules-in-python.mp4 (13.07 MB)
09 demonstration-of-modules.mp4 (19.7 MB)
01 summary-of-python-essentials.mp4 (7.49 MB)
02 exploring-numpy.mp4 (16.26 MB)
03 numpy-operation.mp4 (32.46 MB)
04 working-with-numpy.mp4 (35.89 MB)
02 pandas-framework.mp4 (20.7 MB)
03 pandas-dataframe-operation.mp4 (33.03 MB)
04 working-with-dataframes-in-pandas.mp4 (26.83 MB)
05 dataframes-with-pandas-operations-and-insights.mp4 (31.97 MB)
06 creating-a-series-in-pandas.mp4 (31.02 MB)
07 working-with-pandas-series.mp4 (22.04 MB)
01 dataframe-data-maniplulation.mp4 (25.83 MB)
02 dataframe-joining.mp4 (33.06 MB)
03 dataframe-grouping-the-data.mp4 (23.43 MB)
04 dataframe-data-cleaning.mp4 (22.07 MB)
05 dataframe-data-adjusting.mp4 (23.95 MB)
03 matplotlib-library.mp4 (21.62 MB)
04 plotting-charts-with-matplotlib.mp4 (19.97 MB)
05 plotting-histogram-and-box-plot.mp4 (11.14 MB)
06 plotting-multiple-charts.mp4 (29.4 MB)
07 introduction-to-seaborn-scatter-plot.mp4 (27.49 MB)
08 basic-charts-in-seaborn.mp4 (24.06 MB)
09 seaborn-heatmap-manipulation.mp4 (9.41 MB)
10 seaborn-flights-dataset.mp4 (18.83 MB)
11 seaborn-gaining-insights-in-flight-data.mp4 (23.94 MB)
12 visualizing-charts-with-plotly.mp4 (19.43 MB)
13 customizing-different-charts-in-plotly.mp4 (25.08 MB)
01 summary-exploring-numpy-and-pandas-in-python.mp4 (6.5 MB)
02 what-is-statistics.mp4 (19.13 MB)
03 measures-of-central-tendency.mp4 (22.62 MB)
04 managing-statistical-data.mp4 (22.04 MB)
05 exploring-and-analyzing-data.mp4 (14.78 MB)
01 measures-of-dispersion.mp4 (20.74 MB)
02 dispersion-demonstration.mp4 (25.14 MB)
03 application-of-dispersion-in-large-data.mp4 (8.37 MB)
02 probability-sample-space-and-events.mp4 (17.41 MB)
03 need-for-probability.mp4 (10.87 MB)
04 types-of-probability.mp4 (15.45 MB)
05 marginal-and-joint-probability-demonstration.mp4 (17.61 MB)
06 conditional-probability-demonstration.mp4 (18.8 MB)
02 what-is-hypothesis-testing.mp4 (20.23 MB)
03 steps-for-hypothesis-testing.mp4 (12.71 MB)
04 null-and-alternate-hypothesis.mp4 (20.5 MB)
05 statistical-test-interpretation.mp4 (22.22 MB)
06 one-tailed-and-two-tailed-test.mp4 (18.67 MB)
07 hypothesis-testing-demonstration.mp4 (23.02 MB)
08 margin-of-error-and-confidence-interval-demonstration.mp4 (35.07 MB)
01 summary-statistical-analysis-with-python.mp4 (7.98 MB)
01 course-summary-python-and-statistics-foundations.mp4 (10.54 MB)]
Screenshot

RapidGator

 https://rapidgator.net/file/646cb0f10daa2742c0185c04236b8d78/Coursera.-.Python.and.Statistics.Foundations.part1.rar
https://rapidgator.net/file/61f7a91bf4a80b242d424091be34605d/Coursera.-.Python.and.Statistics.Foundations.part2.rar

TurboBit

 https://turbobit.net/a3qu1rrpfj57/Coursera.-.Python.and.Statistics.Foundations.part1.rar.html
https://turbobit.net/zealou6p4nh7/Coursera.-.Python.and.Statistics.Foundations.part2.rar.html