These are the exercise files used for [Statistical Analysis in Data Science Using Python](https://www.tertiarycourses.com.sg/statistical-data-science-python.html) course.

The course outline can be found in

<p><strong>Module 1 Descriptive Statistics</strong></p>

<ul>

<li>Mean &amp; Medium</li>

<li>Standard Deviation &amp; Variance</li>

<li>Percentiles</li>

<li>Summary</li>

</ul>

<p><strong>Module 2: Data Visualization with Seaborn</strong></p>

<ul>

<li>What is Seaborn</li>

<li>Visualizing Statistical Relationships with Scatter Plot</li>

<li>Visualizing Categorical Data with Bar Plot</li>

<li>Visualizing Correlation with Pair Plot and Heatmap</li>

<li>Visualizing Linear Relationships with Regression</li>

</ul>

<p><strong>Module 3 Hypothesis Testing with SciPy</strong></p>

<ul>

<li>What is Hypothesis Testing</li>

<li>T Statistics</li>

<li>Student's t-test</li>

</ul>

<p><strong>Module 4 Statistical Modeling with StatsModel</strong></p>

<ul>

<li>What is Statistical Modeling</li>

<li>Statistical Modeling with StatsModel</li>

<li>Goodness of Fit</li>

<li>ANOVA</li>

</ul>

<p><strong>Module 5 Bayesian Inference with PyMC3</strong></p>

<ul>

<li>Bayesian Inference</li>

<li>Using PyMC3 for Bayesian Inference</li>

</ul>