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| -rw-r--r-- | data_analysis/01_intro.ipyml | 44 |
1 files changed, 35 insertions, 9 deletions
diff --git a/data_analysis/01_intro.ipyml b/data_analysis/01_intro.ipyml index 39d258e..ec5981e 100644 --- a/data_analysis/01_intro.ipyml +++ b/data_analysis/01_intro.ipyml @@ -30,16 +30,19 @@ cells: - Partial information - Uncertainty - Errors - - <br/> <br/> - - Important to check and clean data - metadata: slideshow: slide_type: subslide +- markdown: | + + - Important to check and clean data + + metadata: + slideshow: + slide_type: fragment - markdown: | ## Statistical approach @@ -47,7 +50,12 @@ cells: - Data collection <br/> - <br/> + + metadata: + slideshow: + slide_type: subslide + +- markdown: | - Visualization - Inference @@ -56,8 +64,7 @@ cells: metadata: slideshow: - slide_type: subslide - + slide_type: fragment - markdown: | ## Importance of computers @@ -87,8 +94,8 @@ cells: ## Pre-requisites - Basic Python programming - - NumPy - - Python 3.x, Jupyter, scipy, matplotlib, pandas, statsmodels + - `numpy` + - Python 3.x, `Jupyter, scipy, matplotlib, pandas, statsmodels` - Mathematics (12th grade) - Introduction to statistics @@ -113,11 +120,30 @@ cells: slide_type: slide - markdown: | + ## Resources for learning + + - [Khan Academy Statistics and Probability](https://www.khanacademy.org/math/statistics-probability) + - [Concrete introduction to Probability](http://nbviewer.jupyter.org/url/norvig.com/ipython/Probability.ipynb) by Peter Norvig + + - [Penn State Stat 414 course](https://onlinecourses.science.psu.edu/stat414) + + - [Computational and Inferential Thinking](https://www.inferentialthinking.com/) by Ani Adhikari and John De Nero + + - [Think Stats2](http://greenteapress.com/wp/think-stats-2e/) by Allen B. Downey + + metadata: + slideshow: + slide_type: slide + + + +- markdown: | ## Summary - Introduction to data analysis - Pre-requisites for this course - Tools covered + - Resources for statistics and probability metadata: slideshow: |