Udemy

Master in Data Analysis and Analytics

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  • 19,230 Students
  • Updated 11/2025
4.6
(255 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 53 Minute(s)
Language
English
Taught by
Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
Rating
4.6
(255 Ratings)

Course Overview

Master in Data Analysis and Analytics

Data Analyst course learning use of advanced excel, power bi, tableau, sql & python to draw insights to better decisions

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

Take a look at this course where you will

  • Not only learn about the Data Analysis and Analytics in depth interactively with a lot of examples and case studies including Ensure Data Quality & Integrity, Centralize Data with a Modern Infrastructure, Learn & Apply Different Types of Analytics, Using the Right Tools & Technologies, Automating Reporting and Dashboards, Adopting Scalable Cloud & AI Solutions, Developing Strong Visualization Skill, Translating Data into Actionable Insights, Ensuring Data Privacy & Compliance, Preventing Bias & Ensure Transparency but also learn

  • Understanding Business Needs & KPIs, Developing Data-Driven Decision-Making Culture

  • 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 Analytics 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 Analytics in 2016 when I started working at IIM Udaipur teaching an coaching MBA students

While I had a good understanding of the Understanding Business Needs & KPIs, Developing Data-Driven Decision-Making Culture from my earlier years of management education and experience, I had to learn all about Ensuring Data Quality & Integrity, Centralizing Data with a Modern Infrastructure, Learning & Applying Different Types of Analytics, Using the Right Tools & Technologies, Automating Reporting and Dashboards, Adopting Scalable Cloud & AI Solutions, Developing Strong Visualization Skill, Translating Data into Actionable Insights, Ensuring Data Privacy & Compliance, Preventing Bias & Ensure Transparency.

I continued my learning journey in this rapidly evolving field since then while working with many of my clients in data analysis and analytics till now

I bring in this course my learnings from this journey and share with you how can you also become a Successful Data Analyst

Preview for yourself many lectures free. If you like the content, enrol for the course, enjoy and skill yourself to become a Master in Data Analysis and Analytics!

Please remember that this course comes with Udemy’s 30 days Money Back Guarantee

Course Content

  • 17 section(s)
  • 39 lecture(s)
  • Section 1 Introduction
  • Section 2 Overview
  • Section 3 Case Studies of Excellence in Data Analysis & Analytics
  • Section 4 Building Excellence in Data Analysis & Analytics
  • Section 5 Ensure Data Quality & Integrity
  • Section 6 Centralize Data with a Modern Infrastructure
  • Section 7 Learn & Apply Different Types of Analytics
  • Section 8 Using the Right Tools & Technologies
  • Section 9 Understanding Business Needs & KPIs
  • Section 10 Developing Data-Driven Decision-Making Culture
  • Section 11 Automating Reporting and Dashboards
  • Section 12 Adopting Scalable Cloud & AI Solutions
  • Section 13 Developing Strong Visualization Skill
  • Section 14 Translating Data into Actionable Insights
  • Section 15 Ensuring Data Privacy & Compliance
  • Section 16 Preventing Bias & Ensure Transparency
  • Section 17 Summary

What You’ll Learn

  • What is Data Analysis & Analytics, How is Data Analysis & Analytics different from Business Analytics and Data Science, Case Studies of Excellence in Data Analysis & Analytics, How to build excellence in Data Analysis & Analytics, Ensuring Data Quality & Integrity, Centralizing Data with a Modern Infrastructure, Learning & Applying Different Types of Analytics, Using the Right Tools & Technologies, Understanding Business Needs & KPIs, Developing Data-Driven Decision-Making Culture, Automating Reporting and Dashboards, Adopting Scalable Cloud & AI Solutions, Developing Strong Visualization Skill, Translating Data into Actionable Insights, Ensuring Data Privacy & Compliance, Preventing Bias & Ensuring Transparency


Reviews

  • o
    odusina Ifeoluwa fehintoluwa
    5.0

    I love the course. it is so beginner friendly and easy to understand

  • A
    Ashutosh Kumar Singh
    5.0

    very helphul for begainers

  • J
    Joel john oinu
    5.0

    excellent

  • O
    Ogundiran Tomilola
    5.0

    It was more than I expected give the the idea of what I need to do and know to become a some not just an excellent but a successful and excellent data analyst. Made me understand the foundation and am glad I came about this course and the facilitator made it simple to understand and gave real time example for a clearer and better understanding. Know all I need to do is start building on these strong foundation.

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