Excel: Data cleaning and analysis techniques

Offered byUDEMY

Excel: Data cleaning and analysis techniques
at
UDEMY
Overview

Gain a comprehensive overview of the Data cleaning and analysis techniques principles and concepts

Duration	1 hour
Total fee	₹799
Mode of learning	Online
Credential	Certificate

Excel: Data cleaning and analysis techniques
at
UDEMY
Highlights

Earn a certificate of completion from Udemy
Learn from 3 downloadable resources & 2 articles
Get full lifetime access of the course material
Comes with 30 days money back guarantee

Excel: Data cleaning and analysis techniques
at
UDEMY
Course details

Skills you will learn

Excel Data analysis

Who should do this course?

For Anyone who wants to learn Excel completely
For Business analysts
For Financial Analysts
For Consultants
For Start up founders
For Project Managers
For College students

More about this course

You will have practice assignments / course challenges with varying difficulty levels to test your learning from the course
Learn Excel functions to do data cleaning, data manipulation and analysis using the TEXT functions

Excel: Data cleaning and analysis techniques
at
UDEMY
Curriculum

Start Here

Introduction: What will we learn in this course?

Download the excel template for this course

Illustration 1: Introduction to the illustration

Illustration 1: Understanding the LEN, FIND, MID and CONCATENATE functions

Illustration 2: Understanding the TRIM and FIND function

Illustration 2: Understanding the LEFT and MID function

Illustration 3: Introduction

Illustration 3: Understanding the SEARCH function

Illustration 3: Understanding the IFERROR function

Illustration 3: Understanding the IF function

Recap of what we learnt in this course

Practice Assignment : DIFFICULTY LEVEL - MEDIUM

SOLUTION TO PRACTICE ASSIGNMENT

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Excel: Data cleaning and analysis techniques
at
UDEMY
Faculty details

Ashish Agarwal

Ashish is a Business and Finance Expert with around 10 years of experience in this domain. He is currently a full-time instructor teaching Business, Finance and Data Analysis courses.