| Day |
Topics – DS with Python |
|
| Day 1 |
Basic Statistics |
|
| Analytics overview |
Demo |
| Analytics Methodology |
Demo |
| Types of variables |
Demo |
| Descriptive Statistics |
Demo |
| Inferential Statistics |
Demo |
| Sample Problems |
Lab |
| Normal Distribution |
Demo |
| Probability Theory |
Demo |
| Hypothesis Testing |
Demo |
| Anova |
Demo |
| Sample Problems |
Lab |
|
|
Topics – DS with Python |
|
| Day 2 |
Introduction: Why Python for Data Science |
Demo |
| Installation process |
Lab |
| Useful Packages |
Demo |
| Data Types and Data Structures (Lists, Tuples, Dictionary ) |
Demo |
| Hands-on Data Structures |
Lab |
| Working with Files |
Demo |
| Hands-on with Files |
Lab |
| Introduction to Pandas |
Demo |
| Series, Data Frames |
Demo |
| Hands-on Exercises |
Lab |
|
|
Topics – DS with Python |
|
| Day 3 |
Introduction to Numpy |
Demo |
| Explore Data Using Numpy |
Lab |
| Creating various graphs using Matplotlib |
Lab |
| Outlier Identification |
Demo |
| Simple Linear Regression |
Lab & Demo |
| Logistics Linear Regression |
Lab & Demo |
|
|
Topics – DS with Python |
|
| Day 4 |
Introduction to Decision Trees |
Demo |
| Clustering Concepts |
Demo |
| K Means Clustering |
Demo |
| Introduction to Deep Learning |
Demo |
| Introduction to Text Mining |
Demo |
| Hands on exercises |
Lab |
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