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Ashish Agarwal

Hey, welcome to our very popular online course. 

We are glad to see you visit this course. 

If only we could shake hands.

What is this course about?

Read more

Hey, welcome to our very popular online course. 

We are glad to see you visit this course. 

If only we could shake hands.

What is this course about?

In this course, we will teach you the comprehensive skills to make you an Expert in Excel for all sorts of data analysis.

We will illustrate the following broad content topics in great detail in this course:

1) Data analysis on real life data sets

2) Data cleaning and manipulation 

3) Data visualization

It is a very comprehensive course that will teach you the complete Excel skills in 1 single course.

How is this course useful for YOUR purpose?

Hey, did you watch the promo video? If not, please do. 

If you are looking to learn the complete Microsoft Excel skills, then you are at the right place.

We take you from basics to more advanced functionalities of Excel in this course.

Look, Microsoft Excel is ubiquitous. 

It is used in almost every job we do in today's world.

So your job will also possibly require you to work with Excel.

As such, being proficient in Excel is a must have skill in today's data driven world.

Our course does exactly that - we teach all that you need to know in Excel.

You have lifetime access to the course once you enroll. 

So even if you don't plan to start now, you can still enroll and come back anytime later.

What makes this course different than others?

This course content is unique.

You will learn exactly what you need to know in Excel.

You get access to practical real life illustrations of all functionalities in Excel.

It is a completely hands-on course.

You will be carrying out the real life illustrations along with the instructor.

We provide you the same set up as the instructor. 

You can download all illustration spreadsheets at your end.

You will feel as if somebody is guiding you step by step in all the illustrations.

It is a very practical on the job training for you.

You are going to love our instructor's teaching style. 

He makes it very engaging and fun learning experience.

You will have practice assignments to test your learning from the course

The Practice Assignments are marked with varying difficulty levels - High, Medium and Low.

There are manually edited hand typed captions added on all lectures of this course. 

Feel free to refer to them in case you feel the need.

What are other students saying about this course?

Check our our reviews below.

Read what student Supanut Konsila wrote - 

"Thanks a lot for teaching me. This course helps me understand enormously for working with large data."

Go to the reviews section below to read more such stories.

What if I do not like the course?

Well, we will be very sad to hear that you did not like the course.

But you are well protected.

You have a 30 day money back guarantee in case you are not happy with the course.

No questions asked.

But we sincerely hope, you will definitely like the course.

What  next?

Start learning now.

See you inside the course.

Enroll now

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What's inside

Learning objectives

  • Become an expert in excel
  • Undertake data analysis in excel
  • Apply data cleaning techniques in excel
  • Do advanced data visualization in excel
  • Create dynamic and flexible models in excel

Syllabus

Course overview
Module 1: Overview of data analytics and MS Excel
Introduction to data analytics
What are the key data analyst skills you need to learn?
Read more
Data analyst vs data scientist? What is the difference?
Overview of Microsoft Excel
Getting familiar with MS Excel interface
Warm up with very basic excel functionalities
Understanding formatting in excel
Using the $ sign in Excel
Keyboard short cuts in Excel
Recap: what did we learn Module 1?
Practice Assignment #1: DIFFICULTY LEVEL - EASY
SOLUTION TO PRACTICE ASSIGNMENT #1
Module 2: Data cleaning and analysis using TEXT functions
What will we learn in this module?
Download the excel template for this module
Illustration 1: Introduction
Illustration 1: Understanding LEN, FIND, LEFT, 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: what did we learn in Module 2
Practice Assignment #2: DIFFICULTY LEVEL - MEDIUM
SOLUTION TO PRACTICE ASSIGNMENT #2
Please provide us your valuable feedback on the course thus far
Module 3: Data analysis and visualization using basic excel functions
Lets look at the data
Data analysis: Understanding the SUMIF function
Data analysis: Understanding how to calculate the growth rates
Data analysis: Understanding the VLOOKUP function
Data analysis: Understanding the HLOOKUP function
Data analysis: Understanding the INDEX and MATCH function
Data analysis: Understanding the COUNTIFS function
Data visualization: Understanding the LINE chart
Data visualization: Understanding the PIE chart
Data visualization: Understanding the COLUMN chart
Data visualization: Understanding the STACKED chart
Data visualization: Understanding the CONDITIONAL FORMATTING functionality
Recap: what did we learn in Module 3
Practice Assignment #3: DIFFICULTY LEVEL - MEDIUM
SOLUTION TO PRACTICE ASSIGNMENT #3
Module 4: Data analysis using advanced excel functions
Understanding the LIST function
Understanding the OFFSET function
Understanding the SUMPRODUCT function
Understanding the GOAL SEEK functionality
Understanding the INDEX and MATCH function
Understanding the PIVOT TABLES functionality
Understanding the INDIRECT function
Recap: what did we learn in Module 4?
Practice Assignment #4: DIFFICULTY LEVEL - MEDIUM
SOLUTION TO PRACTICE ASSIGNMENT #4
Module 5: Advanced data visualization in excel
What will be learn in this module?
Understanding the COMBINATION chart in excel
Understanding the WATERFALL chart in excel
Understanding the DYNAMIC LINE chart in excel
Understanding the AREA chart in excel
Understanding the INDEX chart in excel
Understanding the RADAR chart in excel
Understanding the SCATTER chart in excel
Understanding the BUBBLE chart in excel
Understanding the GANTT chart
Recap: what did we learn in Module 5?
Practice Assignment #5: DIFFICULTY LEVEL - MEDIUM
SOLUTION TO PRACTICE ASSIGNMENT #5
End of course - what did we learn?
Quick Recap
Please provide us your valuable feedback

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores data analysis with Excel, which is ubiquitous in today's world
Taught by Ashish Agarwal, who is an expert in Excel and data analysis
Provides lifetime access to the course, allowing for flexible learning
Offers practical, hands-on training with real-life illustrations
May require basic knowledge of Microsoft Excel for optimal learning

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data analysis in Excel with these activities:
Review basic statistical functions
This course heavily utilizes statistical functions and concepts. Reviewing basic statistical functions prior to taking this course will provide reinforcement.
Browse courses on Statistics
Show steps
  • Review your notes from a previous statistics course or textbook.
  • Complete online tutorials covering mean, median, mode, standard deviation, range, and variance.
  • Practice using basic statistical functions in Excel or another software program.
Show all one activities

Career center

Learners who complete Data analysis in Excel will develop knowledge and skills that may be useful to these careers:
Financial Analyst
Financial Analysts use data to help businesses make investment decisions. To be successful in this role, you'll need to be proficient in Excel. This course will teach you how to clean data, analyze it, and present it in a way that is easy to understand.
Operations Analyst
Operations Analysts use data to help businesses improve their operations. In this role, you'll need to be proficient in Excel, and this course will help you do that. You'll learn how to clean data, analyze it, and present it in a way that is easy to understand.
Data Engineer
Data Engineers build and maintain the infrastructure that supports data analysis. In this role, you'll need to be proficient in Excel, and this course will help you do that. You'll learn how to clean data, analyze it, and present it in a way that is easy to understand.
Data Scientist
Data Scientists use data to build models that can help businesses make better decisions. In this role, you'll need to be proficient in Excel, and this course will help you do that. You'll learn how to clean data, analyze it, and present it in a way that is easy to understand.
Market Researcher
Market Researchers use data to help businesses understand their customers. In this role, you'll need to be proficient in Excel, and this course will help you do that. You'll learn how to clean data, analyze it, and present it in a way that is easy to understand.
Data Analyst
As a Data Analyst, your job is to refine and interpret data. An understanding of Microsoft Excel is essential, as you likely use it every day. This course will help you refine your skills. You'll learn how to clean data, interpret it, and present it in a meaningful way.
Business Analyst
Business Analysts help businesses understand their data and make better decisions. In this role, you'll need to be proficient in Excel, and this course will help you do that. You'll learn how to clean data, analyze it, and present it in a way that is easy to understand.
Statistician
Statisticians use data to make inferences about the world. In this role, you'll need to be proficient in Excel, and this course will help you do that. You'll learn how to clean data, analyze it, and present it in a way that is easy to understand.
Financial Manager
Financial Managers plan, direct, and coordinate the financial activities of an organization. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for financial managers who are responsible for making data-driven decisions.
Software Engineer
Software Engineers design, develop, and maintain software applications. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for software engineers who are working on data-driven projects.
Database Administrator
Database Administrators design, develop, and maintain databases. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for database administrators who are working on projects that involve data analysis.
Web Developer
Web Developers design and develop websites. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for web developers who are working on projects that involve data analysis.
IT Manager
IT Managers plan, direct, and coordinate the activities of an organization's IT department. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for IT managers who are responsible for making data-driven decisions.
Computer Systems Analyst
Computer Systems Analysts design, develop, and maintain computer systems. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for systems analysts who are working on projects that involve data analysis.
Marketing Manager
Marketing Managers plan, direct, and coordinate the marketing activities of an organization. While proficiency in Excel is not always a requirement for this role, it can be a valuable asset. This course will teach you how to use Excel to clean data, analyze it, and present it in a way that is easy to understand. These skills can be especially helpful for marketing managers who are responsible for making data-driven decisions.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data analysis in Excel.
Complements this course. This book explores more advanced methods for cleaning, manipulating, and visualizing data using Microsoft Excel. It is particularly valuable for supplemental reading or as a future reference.
Covers a wide range of data analysis and modeling techniques. It provides a thorough overview of the key concepts and techniques in data analysis, making it a useful reference for both beginners and experienced users.
Introduces deep learning, a cutting-edge technique for machine learning. It provides a practical guide to building and training deep learning models using Python.
Offers a comprehensive overview of big data analytics, including its challenges and opportunities. It provides a valuable foundation for understanding the concepts and applications of big data.
Provides a comprehensive overview of data mining techniques and their applications in business intelligence. It valuable resource for those interested in extracting insights and knowledge from data.
Comprehensive guide to Hadoop, a popular framework for distributed data processing. It provides a deep understanding of Hadoop's architecture and components, making it a valuable reference for those working with big data.
Provides a rigorous treatment of statistical data analysis. It covers a wide range of topics, including probability theory, hypothesis testing, and regression analysis. While it valuable reference for advanced users, its technical nature may not be suitable for beginners.

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