Udemy - Master in Data Analysis and Analytics

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Free Download Udemy - Master in Data Analysis and Analytics
Published: 4/2025
Created by: Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 38 Lectures ( 5h 36m ) | Size: 5.83 GB

A Data Analyst course learning use of advanced excel, power bi, tableau and python to draw insights to better decisions
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
Requirements
5 hours
Description
Want to become an Successful Data Analyst but don't know what to do and how?Take a look at this course where you willNot 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 learnUnderstanding Business Needs & KPIs, Developing Data-Driven Decision-Making CulturePreview many lectures for free to see the content for yourselfClear your doubts on this topic any time while doing the courseGet Udemy's 30 days Money Back GuaranteeMy 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 toolsWhile 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 studentsWhile 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 nowI bring in this course my learnings from this journey and share with you how can you also become a Successful Data AnalystPreview 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
Who this course is for
Current and Aspiring Data Analysts
Homepage:

https://www.udemy.com/course/master-in-data-analysis-and-analytics/

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