data science

Python for Data Science and Machine Learning Beginners course walks through the programming prerequisites for a data scientist. This course is designed for absolute beginners in data science and machine learning. In this course, students will learn all aspects of Python necessary for data science, machine learning, and deep learning.

The courses are usually available at INR 3,499 on Udemy but you can click now to get 87% off and get Python for Data Science and Machine Learning Beginners Course for INR 449.

Who all can opt for this course?

  • Python newbie who is interested in Data Science
  • Programming Beginners
  • Novice Data Scientists
  • Machine Learning Beginners

Course Highlights

Key HighlightsDetails
Registration LinkApply Now!
PriceINR 449 (INR 79944 % off
Duration07 hours
Student Enrollment16,042 students
InstructorJay Bhatt
Topics CoveredPython Arithmetic Operations, Python Basics, Pandas, Data Science, etc.
Course LevelBeginner
Total Student Reviews1,069

Learning Outcomes

  • Put machine learning algorithms into practice
  • Learn how Python can be used for machine learning and data research
  • Utilize multidimensional array operations and Numpy
  • Analyze exploratory data using Pandas profiling
  • Utilize Matplotlib and Plotly to create intricate visualizations
  • Use Scikit-learn for machine learning tasks
  • Decision Tree and Random Forest
  • Learn Statistics for Machine Learning and Data Science

Course Content

S.No.Module (Duration)Topics
1.Introduction to Python (04 minutes)Course Promo
Thank You
How to get 100% from this course
2.Setting up environment and jupyter notebook (17 minutes)Python Environment setup
3.Module -2 Python Arithmetic operations (15 minutes)Terminology Alert
Arithmetic Operators in Python
Student Community
4.module 3- Python basics list string dictionary (36 minutes)Module Intro
Terminology Alert
Terminology Alert
5.Numpy -Array Attributes (38 minutes)Module Intro
Terminology Alert
Numpy-Basic array operations
Matrix operations in numpy
Terminology Alert
Terminology Alert
6.Pandas (37 minutes)Module Intro
Pandas part1
pandas part 2
pandas part 3
pandas part4
7.Matplotlib- Introduction (32 minutes)Matplotlib-Introduction
Matplotlib 1.2
Pandas with matplotlib
Matplotlib advanced Exercise
8.Introduction to Data Science (02 hours 01 minutes)Introduction to Data Science
Data Science with Python Part 1
Data Science with Python Part 2
Data Science with Python Part 3
Data Science with Python Part 4
Data Exploration Part 1
Data Exploration Part 2
Data Exploration Part 3
T-test in Python
Chi-Square Test
Bivariate Exploration 1
Bivariate Exploration 2
Bivariate Exploration 2
Modelling basics
what is linear regression
Gradient Descent with linear regression
9.Create simple machine learning models with sklearn (16 minutes)sklearn Intro
sklearn part 1
Sklearn part 2
10.Flight Delay Prediction with real world data (53 minutes)Flight Delay Prediction Introduction
Flight Delay Prediction Data Pre-processing
Flight Delay Prediction Feature Generation
Flight Delay Prediction with Random Forest
Flight Delay Prediction final
11.Anaconda environment and conda cheat sheet (18 minutes)Optional: Anaconda Virtual Environments
12.Bonus Lectures (01 hour 09 minutes)Playing with Python codes
Creating dashboards
creating charts with Python
Live video Transformation with Python
Data Science Interview Questions

Resources Required

Basic Mathematical knowledge

Featured Review

Ronaldo (5/5): best course I have ever taken it takes some time to build up the momentum.


  • Auston (5/5): I will say this is the best course on udemy for Python and data science beginners
  • Johnny (5/5): Well planned detail course for Python starters with very good practical exposure.
  • Amitha V Renu (5/5): The way he taught was good and he will also guide us for interview.
  • Amitha V Renu (5/5): Questions they may ask and what we need to answer it was good


  • Girish Kumar T. (3.5/5): Please use more number of examples for frequently used models/modules will help us understand more easily.
  • Sagar S. (3/5): It is good but a bit fast and unclear.
  • Yash S. (1/5): Instructor not responding to questions in a timely manner. Still hasn’t responded to some of mine that I asked weeks ago.
  • Ch Dhanyanjaya P. (1/5): Exepcted the detail explanation of the statistics terms and what is expected from the Model and some real-time business examples.

About the Author

The instructor of this course is Jay Bhatt who is a Data Scientist by profession and instructor by passion. With a 3.8 instructor rating and 3,446 reviews on Udemy, he offers 3 courses and has taught 28,536 students so far.

  • He has completed his master’s degree in advanced mathematics and FEM and has five years of experience working for a reputable Data Science company.
  • He adores producing instructional stuff and films.
  • He hopes that students enjoy the Data Science and Machine Learning journey.

Comparison Table

ParametersPython for Data Science and Machine Learning BeginnersInternet of Things with Python ProgrammingPython & R Programming
OffersINR 455 (INR 3,499) 87% offINR 455 (INR 3,499) 87% offINR 455 (INR 3,499) 87% off
Duration7.5 hours30.5 hours25 hours
Rating4.0 /54.1 /54.2 /5
Student Enrollments16,04226,64145,959
InstructorsJay BhattSai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!Sai Acuity Institute of Learning Pvt Ltd Enabling Learning Through Insight!
Register HereApply Now!Apply Now!Apply Now!

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