Files

c01-what-is-data-science
c02-tools-for-data-science
c03-data-science-methodology
c04-python-for-data-science-ai-development
c05-python-project-for-data-science
c06-Statistics-for-Data-Science-with-Python
- res
  - Coursera_DataScience_Stat_Project.ipynb
  - Descriptive_Stats.ipynb
  - Hypothesis_Testing.ipynb
  - Introduction_to_probability_distribution.ipynb
  - Regression_Analysis.ipynb
  - Visualizing_Data.ipynb
  - anova.png
  - barplot-ex.png
  - boxplot-ex.png
  - chart-suggestion.png
  - correlation-test.png
  - data-types1.png
  - data-types2.png
  - diceprob.png
  - equal-unequal-variances.png
  - hypothesis-t-test.png
  - hypothesis-test.jpeg
  - hypothesis1.png
  - hypothesis2.png
  - hypothesis3.png
  - hypothesis4.png
  - jordan-chamberlain.png
  - levene-test.png
  - mean-diff.png
  - mean.png
  - median.png
  - mode.png
  - population-sample.png
  - region-reject-onetail.png
  - region-reject-twotail.png
  - region-reject.png
  - regression-anova1.png
  - regression-anova2.png
  - regression-corr.png
  - regression-t-test.png
  - regression-t-test1.png
  - scatterplot-ex.png
  - standard-deviation.png
  - stat.png
  - variable-types1.png
  - variable-types2.png
  - variable-types3.png
  - variable-types4.png
- readme.md
c06-databases-and-sql-for-data-science-with-python
c07-data-analysis-with-python
c08-data-visualization-with-python
c09-machine-learning-with-python
c10-applied-data-science-capstone
.gitignore
Coursera B8FH6Y6Q3Z7B.pdf
LICENSE
README.md
_config.yml
update.sh