Welcome to the Data Analytics workshop page.
You can click on the Slides link to open the lecture slides in pdf. You can click on the Demo link to open the Jupyter notebook directly in Colab, where using a Google ID you can execute the notebook and also you can modify and play around. You can also explore our Hands-on Data Analytics tutorial for several other models.
Teaching Assistants: Vishnu, Jotipriya, Ankit, Eva, Thomas, and Vinitha.
For any queries, contact the email-id given in the Home page.
Session
|
Topics
|
Description |
Resources |
W1 S1 |
Introduction to Data Analytics |
Data driven decision making. Need of data analytics. |
Slides, Demo
|
| W1 S2 |
Types of Data Analytics |
Descriptive, Diagnostic, Predictive, and Prescriptive data analytics. |
Slides, Demo |
| W2 S1 |
Data Preprocessing |
Preprocessing for missing values, outliers, normalization, standardization. |
Slides, Demo |
| W2 S2 |
Data Visualization |
Bar, Pie, Scatter and various plots. Matplotlib. Story telling with data. |
Slides, Demo |
| W3 S1 |
Statistical Data Analytics |
Tendency, Spread, Summarizing data |
Slides, Demo |
| W3 S2 |
Exploratory Data Analytics |
Correlation, Variance, Diagnostic analytics |
Slides, Demo |
| W4 S1 |
Hypothesis Testing |
Z test, Decision making |
Slides, Demo |
| W4 S2 |
Regression |
Linear regression, Predictive analytics |
Slides, Demo |
|