Data Science with Python Training Course

Course Overview:
This course will help you to learn the concepts and tools to utilize in a data science project.

In this heavy demo-based course, we shall teach you a practical approach to develop an end-to-end data science project cycle right from extracting data from different types of sources to exposing your machine learning model that can be consumed in a real-world data solution. We will teach an industry standard approach on data science project using Python.

The students will learn to use various standard libraries in the Python ecosystem such as Pandas, NumPy, Matplotlib, Scikit-Learn, Flask to tackle different stages of a data science project such as extracting data, cleaning and processing data, building and evaluating machine learning model.

After the completion of the course, the students will have a solid foundation to handle any data science project and have the knowledge to apply various Python libraries to create a data science solution.

Following topics are included in this course:

Python for Data Science - Introduction
Setting up Working Environment
Extracting Data from multiple sources
Data Cleansing and pre processing
Exploring and Processing Data
Building and Evaluating Predictive Models