Master in Data Science, Data Analytics and Data Analysis

Master in Data Science, Data Analytics and Data Analysis, available at $54.99, has an average rating of 4.44, with 46 lectures, 44 quizzes, based on 148 reviews, and has 21060 subscribers.

You will learn about 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 This course is ideal for individuals who are Aspiring Data Scientists It is particularly useful for Aspiring Data Scientists.

Enroll now: Master in Data Science, Data Analytics and Data Analysis

Summary

Title: Master in Data Science, Data Analytics and Data Analysis

Price: $54.99

Average Rating: 4.44

Number of Lectures: 46

Number of Quizzes: 44

Number of Published Lectures: 46

Number of Published Quizzes: 44

Number of Curriculum Items: 90

Number of Published Curriculum Objects: 90

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Aspiring Data Scientists

Target Audiences

Aspiring Data Scientists

Want to become an Successful Data Scientist or Data Analyst 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 or Data Analyst but also
The roadmap for becoming a Successful Data Scientist or Data Analyst
Preview many lectures for free to see the content for yourself
Clear your doubts on this topic any time while doing the course
Get Udemy’s 30 days Money Back Guarantee

My exposure to Data Science, Data Analytics and 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 Analytics and 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 or Data Analyst and join this attractive and growing field

Look at what other students saying about this course

“The course is amazing and worth the money”

“Great stuff, am learning a lot through this”

“very good and simple explanations”

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Overview

Lecture 1: Overview I

Lecture 2: Overview II

Lecture 3: Overview III

Chapter 3: Data Analysis and Exploration

Lecture 1: Data Analysis and Exploration I

Lecture 2: Data Analysis and Exploration II

Chapter 4: Model Development

Lecture 1: Model Development I

Lecture 2: Model Development II

Lecture 3: Model Development III

Lecture 4: Model Development IV

Lecture 5: Model Development V

Lecture 6: Model Development VI

Chapter 5: Feature Engineering

Lecture 1: Feature Engineering I

Lecture 2: Feature Engineering II

Lecture 3: Feature Engineering III

Chapter 6: Data Visualization

Lecture 1: Data Visualization I

Lecture 2: Data Visualization II

Lecture 3: Data Visualization III

Chapter 7: Collaboration

Lecture 1: Collaboration I

Lecture 2: Collaboration II

Lecture 3: Collaboration III

Chapter 8: Experimentation

Lecture 1: Experimentation I

Lecture 2: Experimentation II

Lecture 3: Experimentation III

Lecture 4: Experimentation IV

Lecture 5: Experimentation V

Lecture 6: Experimentation VI

Lecture 7: Experimentation VII

Chapter 9: Continuous Learning

Lecture 1: Continuous Learning I

Lecture 2: Continuous Learning II

Chapter 10: Documentation

Lecture 1: Documentation I

Lecture 2: Documentation II

Lecture 3: Documentation III

Lecture 4: Documentation IV

Chapter 11: Success Roadmap

Lecture 1: Success Roadmap I

Lecture 2: Success Roadmap II

Lecture 3: Success Roadmap III

Lecture 4: Success Roadmap IV

Lecture 5: Success Roadmap V

Lecture 6: Success Roadmap VI

Lecture 7: Success Roadmap VII

Lecture 8: Success Roadmap VIII

Lecture 9: Success Roadmap IX

Lecture 10: Success Roadmap X

Lecture 11: Success Roadmap XI

Instructors

Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
Management Coach and Mentor with 40 years experience

Rating Distribution

1 stars: 3 votes
2 stars: 4 votes
3 stars: 20 votes
4 stars: 42 votes
5 stars: 79 votes

Frequently Asked Questions

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