Machine Learning & Data Science – Level 1

Program Duration

55 Hours


Level 1

Prerequisite Course

No – Prerequisite Required

Course Objective

If you have been considering getting into Machine learning & Data Science Science and if you are curious what this field is all about, now is the time to start. Data science & Machine Learning jobs are becoming increasingly in demand as big data and technology industries grow. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. On the other hand, Machine learning analyzes and examines large chunks of data automatically. It automates the data analysis process and makes predictions in real time without any human involvement. You can further build and train the data model to make real-time predictions.

With a background in machine learning, you can get a high-paying job as a Machine Learning Engineer, Data Scientist, Python Developer, Human-Centered Machine Learning Designer, and various other profiles. 

Who This Course is for?

  • This course is structured for any undergraduate or job seeker who wants to start his career in the Data Science & Machine Learning field.
  • Any working professional with experience in the non-IT domain and looking to enter the IT field.
  • Any Fresh graduate or postgraduate looking to secure a career in the IT domain.

Why Join Us

  • Learn Python Programming & Data Science Solutions.
  • Learn Machine learning & Data Science in an industrial environment with practical demonstrations and live scenarios.
  • Learn from our experienced and skilled Data Scientists who will be providing training systematically.
  • High-Quality Standard Maintenance in each session delivery.
  • Train on real projects to enhance your skills and make yourself industry-ready.
  • Learn corporate ethics and moral code of conduct.
Sr. No. Topics
  1. Introduction to Python Programming
  2. Installation & Environment Settings of Python IDE
  3. Python Basics
  4. Python Numbers
  5. Python String
  6. Python Container Objects
  7. Condition & Looping
  8. Unpacking
  9. Comprehensions
  10. Functions
  11. Python Programming
  12. Object Oriented Programming (Classes & Objects) Classes (Simple to Advance
  13. Exception Handling
  14. NUMPY
  15. PANDAS
 18. Machine Learning Introduction

Learning Outcome

  • This Course will make you a Proficient Data Scientist and a Machine Learning Engineer.
  • At the end of this course, you will have a solid understanding of Python Programming, Data visualization using Python libraries, concepts used for Data Science & Machine Learning Algorithms on Real Projects.
  • Complete understanding of different types of Machine Learning Algorithms with practical demonstration.
  • You will also understand how to manipulate big data sets with the help of NumPy & Pandas.
  • Complete Understanding of Data visualization using Matplotlib & Seaborn.
  • Practical exposure to various projects to hone hands-on expertise.