Data Analysis Fundamentals and Decision Making Models Course

4.4 ★★★★ ★

Data Analysis Fundamentals and Decision Making Models Course

Name: Data Analysis Fundamentals and Decision Making Models Course
Rating: 4.4 (108 reviews)
Author: Manish Gupta

Master handling Big Data, Analysis and presenting interactive DashBoards.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Manish Gupta

English [CC]

category icon Development ,Data Science,Data Analysis

Lectures -10

Duration -54 mins

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4.4 ★★★★ ★

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Course Description

Do you want to understand how big data is analysed and how decisions are made based on big data.

In this course, we will be covering the various steps involved in data analysis in brief. The objective of this course is to make you familiar with these steps and collect your feedback and questions.

I will then use that feedback and questions to make the detailed course better and more relevant for you.

Who this course is for:

This course is for data analysis learners, entrepreneurs, and decision makers who want to analyse the big data in easy-to-read and meaningful ways.

Goals

After this course, you should be able to handle the big data and draw conclusions out of it.
You will be able to present data in the form of a beautiful interactive dashboard.
You will master pivot tables, charts, slicers, and forecasting techniques in Excel.

Prerequisites

No prior knowledge of Excel is required.

Data Analysis Fundamentals and Decision Making Models Course

Curriculum

Check out the detailed breakdown of what’s inside the course

What is Data Analysis

1 Lectures

Data Analysis - Meaning & Steps 02:46 02:46

Data Analysis Steps in Details

5 Lectures

Bonus Lectures

3 Lectures

Instructor Details

Manish Gupta

Manish Gupta is a Principal Applied Researcher at Microsoft India R&D Private Limited in Hyderabad, India. He is also an Adjunct Faculty at the International Institute of Information Technology, Hyderabad and a visiting faculty at the Indian School of Business, Hyderabad. He received his Master's in Computer Science from IIT Bombay in 2007 and his Ph.D. from the University of Illinois at Urbana-Champaign in 2013. Before this, he worked for Yahoo! Bangalore for two years. His research interests are in the areas of web mining, data mining and information retrieval. He has published more than 100 research papers in reputed refereed journals and conferences. He has also co-authored two books: one on Outlier Detection for Temporal Data and another on Information Retrieval with Verbose Queries.

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Data Analysis Fundamentals and Decision Making Models Course

Data Analysis Fundamentals and Decision Making Models Course