Overview
Data Science is a study of data. We believe Data is everything in today’s world that can be treated as ‘Information’ about different aspects of Business. In this course, we will cover all the components of Data Science like Data Management, Programming, Visualization, and Analytics. All the components of Data Science mentioned here are equally important to successfully become a Data Scientist.
This course focuses mainly on Python tools. It starts with programming using Python followed by analytical and visualization techniques. It includes multiple hands-on exercises and project work in the domains of marketing, banking, finance, risk management, retail, clinical, manufacturing/inventory management etc.
The ultimate purpose of this course is to cover all the basics and advance predictive modeling techniques which are a must in today’s competitive edge. This course will cover all the programming, visualization and analytical models to be implemented in Python.
What you will learn
- Introduction to Data Science
- Programming using Python
- Statistics using Python
- Hypothesis Testing and ANOVA using Python
- Exploratory Data Analysis using Python
- Linear Regression using Python
- Regression Diagnostics using Python
- Categorical Data Analysis using Python
- Logistic Regression using Python
- Measure Model Performance using Python
- Decision Tree Modeling using Python
- Gradient Boosting (XGBOOST) using Python
- Time Series Forecasting Models using Python
