Udemy

Master in Data Science to become a Data Scientist

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  • 37,721 Students
  • Updated 4/2025
  • Certificate Available
4.3
(358 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 31 Minute(s)
Language
English
Taught by
Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.3
(358 Ratings)
1 views

Course Overview

Master in Data Science to become a Data Scientist

Machine Learning, Artificial Intelligence, AI ML using Python. Big Data Analysis and Analytics. Practice Assignments.

Want to become an Successful Data Scientist but don’t know what to do and how?

Take a look at this course where you will

  • Not only learn responsibilities, qualifications, all the knowledge and tools required in detail to become a Successful Data Scientist including Data Analysis and Exploration, Model Development, Feature Engineering, Data Visualization, Collaboration, Experimentation, Continuous Learning and

    Documentation but also

  • The roadmap for becoming a Successful Data Scientist

  • Preview many lectures for free to see the content for yourself

  • Get Udemy’s 30 days Money Back Guarantee

  • Enroll for free in my any other course using the coupon link in my YouTube channel videos from time to time subject to availability

My exposure to Data Analysis started 40 years back in 1979-81 at Indian Institute of Management Bangalore when I learnt about various methodologies and tools like Multivariate and Conjoint Analysis to make better management decisions. Data Science was not yet born as it has developed and matured now with developments in Machine Learning and other Algorithms that have made it possible to use those methodologies and tools

While I continued to use the Data Analysis during next about 30 years while working in Unilever, Johnson and Johnson and Danone, I came to know about the fully developed Data Science in 2016 when I started working at IIM Udaipur teaching and coaching MBA students

During past 8 years, I have researched and learnt a lot more about the capabilities of Data Science to help all of us make better decisions

I bring in this course my learnings from this journey and share with you how can you also become an Successful Data Scientist and join this attractive and growing field

Look at what other students saying about this course

"It's been super amazing so far, I know it will get better and better"

"The course is amazing and worth the money"

"One of the finest courses by a professor on Udemy"

"Great stuff, am learning a lot through this"

"Great explanation, simple and precise"

"Great"

"As a sophomore in college who aspires to major in data science, this course is a really good overview of what I will need to do and to know. I am also impressed at how fast Mr. Singhal responded to my questions. This course goes in depth with everything and does a good job of limiting the assumptions of what we already know."

"Amazing"

"Awesome: detailed, not too fast, proper use of visualization that enhanced concentration and understanding of the class."

"Really a great lecture. Hope I might get my apprenticeship in Google. Thank you"

"Very well taught!"

"Very important information concerning data scientist career"

"very good and simple explanations"

"it is a good lecture and refreshing time of adding value to my data analysis package with more insightful points"

"I am impressed. The video was easy to watch. No stress at all"

"nice and informative lectures"

"i can able study practical level of knowledge of all"

Preview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to Become a Successful Data Scientist. If don't like the content, please message about how can we modify it to meet your expectations.

Course Content

  • 13 section(s)
  • 47 lecture(s)
  • Section 1 Introduction
  • Section 2 Overview
  • Section 3 Data Analysis and Exploration
  • Section 4 Model Development
  • Section 5 Feature Engineering
  • Section 6 Data Visualization
  • Section 7 Collaboration
  • Section 8 Experimentation
  • Section 9 Continuous Learning
  • Section 10 Documentation
  • Section 11 Success Roadmap
  • Section 12 Summary
  • Section 13 Related Resources

What You’ll Learn

  • What are the responsibilities of a Data Scientist?
  • What qualifications are required to become a Data Scientist?
  • How can you become a successful Data Scientist?
  • How to deliver the key responsibilities of a Successful Data Scientist?
  • Your Roadmap to become a Successful Data Scientist
  • Data Analysis and Exploration
  • Model Development
  • Feature Engineering
  • Data Visualization
  • Experimentation

Reviews

  • s
    siraj baba
    4.0

    it was quite good explaining the things

  • M
    Muhammad Shahab Manzar
    3.5

    Course is not practical but gives overall good idea of Data science if a person has ZERO knowledge of Data science he/she should take this.

  • B
    Bigbenv Ogbuagu
    1.5

    Sure it is and I would love to see the real life application of it.... For certificate purpose please my name is Bigben Ogbuagu and not Bigbenv Ogbuagu ok!

  • S
    Samuel Tosin Akinyemi
    4.5

    I enjoyed every session of the course. The resource materials are helpful and the repetition of some of the course content aids in retaining what I learnt in the previous lecture.

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