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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?

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.

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

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

Traffic lights

Read about what's good
what should give you pause
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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Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

Comprehensive excel skills for data analysis

According to students, this course offers a comprehensive pathway to becoming proficient in Excel for data analysis, guiding you from basics to advanced functionalities. Learners particularly appreciate the hands-on, practical approach with real-life illustrations and downloadable spreadsheets, making it feel like on-the-job training. The instructor's engaging teaching style is frequently highlighted, alongside the value of practice assignments. While excellent for building a strong foundation, some advanced users might find certain sections to be more foundational than deeply advanced.
While comprehensive, true experts may seek more advanced, niche topics.
"As someone with some Excel experience, I felt some sections were a bit too foundational for my needs."
"It's excellent for building a strong foundation, but perhaps not for cutting-edge or highly specialized analysis."
"I was hoping for more in-depth coverage on very advanced modeling techniques or specific industry applications."
Assignments with varied difficulty levels help solidify learning.
"The practice assignments were great for testing my understanding and reinforcing the lectures."
"I found the varying difficulty levels of the assignments very useful for tracking my progress."
"The assignments helped me apply the concepts learned in the lectures, which was crucial for mastery."
The instructor's clear and engaging style makes complex topics accessible.
"The instructor's teaching style was very engaging and made learning enjoyable and fun."
"I really connected with the instructor's step-by-step guidance; he made it simple."
"He explained complex Excel concepts very clearly, making them easy to understand and retain."
Real-world illustrations and exercises make learning effective.
"The practical, real-life illustrations were incredibly helpful; I could follow along easily."
"I appreciated being able to download the spreadsheets and work alongside the instructor."
"It felt like on-the-job training; I could immediately apply the concepts I learned in my work."
Builds strong Excel skills from foundational to advanced.
"This course helped me learn a comprehensive set of skills, making me proficient in Excel for analysis."
"I feel confident now, as it covers everything from basic functions to advanced data manipulation."
"It's truly a complete package, taking me from beginner to a more advanced Excel user for data tasks."

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:
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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Featured in The Course Notes

This course is mentioned in our blog, The Course Notes. Read one article that features Data analysis in Excel:

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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