Course Features :

About 35 Hours of Instructor Led Training
Quizzes / Exercises
Projects in Machine Learning
Interview Tips and Material

Course Objectives:

At the end of the course, the learner will be able to
Describe the basic process of data science
Install and use Jupyter notebooks
Write programs in Python to solve Data Science problems
Have an applied understanding of how to manipulate and
analyze uncurated datasets
Perform basic statistical analysis and use machine learning methods
Effectively visualize results

Labs:

The hands-on will be done using Jupyter notebook. A machine capable of running this notebook is enough for participants to attend this course. The participants should have adequate permissions to install the required software on the machine from the internet.
Course Outline: