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Intro to Exploratory Data Analysis with Excel

star 4.6  Intermediate level 2.25 learning hrs 16.6K+ Learners

Enroll in this free Exploratory Data Analysis with Excel course to learn hands-on from experts. Gain skills to find patterns, identify anomalies, test hypotheses, and check assumptions with statistics and graphical representations

Instructor:

Denver Dias

Key Highlights

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Test your skills with quizzes

About this course

This Exploratory Data Analysis with Excel online training is designed to give you a thorough understanding of Excel tasks for EDA. You will learn the basics of EDA to begin with and continue to learn Excel techniques to analyze, clean, and manipulate gathered data for Exploratory Data Analysis purposes. You will also understand univariate analysis to explore each data separately. 

 

This online course will teach you to solve problem statements with hands-on demonstrations. Learn from industry experts and academia, and earn a free course completion certificate after completing this course and qualifying in the quiz. 

 

Continue to explore advanced Data Science concepts, tools, and techniques with Data Science certificate courses after completing this basic EDA with Excel course. 


 

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Course outline

Introduction to Exploratory Data Analysis with Excel

This section points out the relevant fields that employ Exploratory Data Analysis and its techniques. 
 

Problem Statement in EDA

This section explains the chosen sample problem statement to understand working with Excel for Exploratory Data Analysis and also discusses the tasks performed further in this course.  
 

Understanding the Data in Excel

This section helps you understand and analyze data gathered in an Excel sheet. It also demonstrates how to change the data points into a unique format to work with them effectively. 
 

Data Cleaning and Manipulation in Excel

This section begins with explaining the terms and requirements to clean and segregate data. It then demonstrates the techniques to clean and manipulate the data to derive valuable insights using Excel functions.
 

Univariate Analysis in Excel

This section defines univariate analysis and provides you with the knowledge to employ univariate analysis to explore data from a single data piece. It further briefs what Bivariate analysis is and states its use in Machine Learning tasks. 
 

Questions and Hypothesis in Excel

This section teaches you to analyze and investigate individual features of the chosen dataset to derive a hypothesis from answering escalated data-related questions. 

Quick peek into the final insights with Excel

This section visualizes the derived data excel sheet after applying the required functions and performing the required operations on the data set. 
 

Exploratory Data Analysis Hands-on

This section includes modules demonstrating the previously discussed data operations in Excel for EDA. 
 

Get access to the complete curriculum once you enroll in the course

Intro to Exploratory Data Analysis with Excel

rating icon 4.6

2.25 Hours

Intermediate

16.6K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.6
76%
17%
5%
0%
2%
Reviewer Profile

5.0

“Engaging, Insightful, and Skill-Building”
Great Learning’s instructors are typically experienced professionals and industry experts who bring real-world insights to the learning experience. They focus on delivering practical knowledge, often combining academic concepts with hands-on applications. The instructors are supportive and guide students through complex topics, offering mentorship and real-time feedback. They are usually well-versed in their fields, helping learners bridge the gap between theory and industry practices.
Reviewer Profile

5.0

“Student in International University”
The online data analysis course provided a solid foundation for understanding and applying essential concepts in the field. The content was well-structured, starting with basic statistical principles and gradually moving toward more advanced techniques like data visualization and predictive modeling. The inclusion of hands-on exercises and case studies made the lessons engaging and practical, helping to bridge the gap between theory and real-world application.
Reviewer Profile

5.0

Indonesia
“Engaging and Insightful Exploratory Data Analysis Course”
I enjoyed the practical applications of Excel in analyzing data sets and the interactive nature of the course. The hands-on exercises helped me understand the concepts better, and the step-by-step guidance made complex topics easier to grasp. I appreciated the focus on real-world examples that demonstrated how to extract insights from data effectively.
Reviewer Profile

4.0

India
“Great Learning Offers Interactive, Industry-Relevant Courses”
Great Learning offers interactive, industry-relevant courses with flexible options, personalized support, and career resources to boost professional growth.
Reviewer Profile

4.0

“Very Exciting Learning Experience!!!”
Learning data analysis using Excel was a very enriching experience as it helped me better understand Excel functionalities and its contribution to facilitating work for analysts. This course is highly recommended for anyone curious about Data Analysis and wants to know how to implement it while using Excel.
Reviewer Profile

5.0

“Topic Depth and Skills & Tools Were My Favorite Aspects”
Topic depth and skills & tools were my favorite aspects of the course. I found the topics covered to be comprehensive and challenging, which helped me deepen my understanding. Additionally, the course provided valuable hands-on experience with relevant skills and tools, which will be beneficial in my future career.
Reviewer Profile

5.0

“I Got a Brief Summary of How Analysis is Done in Excel”
I got a brief summary of how data analysis is done in Excel from the initial stage to the final stage. I enhanced my Excel skills and learned new tools thanks to the course. It also covered the topics I wanted to learn about.
Reviewer Profile

5.0

Malaysia
“I Learned a Lot of Excel Technical Skills I Never Knew Before”
I love how the instructor well-explained each feature available in Excel and its functions.
Reviewer Profile

5.0

South Africa
“Analysis Was Very Detailed with Explanations”
The process of data visualization, data summarization, and data presentation was well detailed.
Reviewer Profile
Omperkash Kukreja

4.0

“Data Familiarization and Data Cleaning Skills”
Data Visualization: Learners will develop the ability to create and interpret various types of charts and graphs (e.g., histograms, scatter plots, box plots) to visually represent data insights. Pattern Recognition: Learners will enhance their skills in identifying trends, correlations, and patterns within the data through visual and statistical methods.

What our learners enjoyed the most

Our course instructor

instructor img

Denver Dias

Senior Data Science Consultant

Data Science Expert

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109.3K+ Learners
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4 Courses
Data Science Leader with over 8 years of experience in building advanced Machine Learning models and leveraging Data Engineering skills to facilitate data-driven decision-making. Proven track record of delivering high-impact solutions for Fortune 500 clients, leading cross-functional teams, and generating substantial cost savings. Currently working with Getty Images to revamp their A/B Testing platform to better measure the effectiveness of newly developed algorithms and experiments in production.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What are the prerequisites to learning this Exploratory Data Analysis with Excel course?

There are no formal prerequisites to learning this course since it inculcates EDA with Excel knowledge in you from the basics. However, you can get hold of EDA much more efficiently if you have basic knowledge of Python programming. 
 

How long does completing this Introduction to Exploratory Analysis with Excel course take?

This Introduction to Exploratory Data Analysis with Excel is a 2-hour long course. Since it includes quizzes, it will take ~3 hours to complete this free online course. You can, however, learn from it at your leisure since the course is self-paced. 
 
 

Will I have lifetime access to this free EDA with Excel online course?

Yes. You will have free lifetime access to this online course with a certificate. 

What are my next learning options after this course?

EDA is employed majorly in Data Science fields, and so you can continue learning other Data Science tools and technologies with the best Data Science program and also learn Business Analytics in the suite. 

 

Why is it essential to learn EDA?

The first step in any project involving Data Analysis, which is mostly the case, is EDA. This process discovers insights from data through the below-stated three ways:

  • Summarizing a dataset using descriptive statistics
  • Visualizing a dataset using charts
  • Identifying missing values
     

Why is EDA so popular?

Apart from being one of the top skills companies seek, Exploratory Data Analysis helps you clean gathered data and set it up for analysis in compliance with company requirements. You can use EDA processes to comprehend how the dataset values are distributed and discover any questionable values Before conducting a hypothesis test, fitting a regression model, or engaging in statistical modeling.
 

What jobs demand that you learn EDA with Excel?

EDA is one of the most in-demand skills in the IT and business sectors today. With expertise in employing EDA for data-related tasks, you can be, 

  • Data Analyst 
  • Business Analyst
  • Data Engineer 
  • Software Engineer
  • Machine Learning Engineer 
  • Application Developer
  • Big Data Engineer

What knowledge and skills will I gain upon completing this free EDA with Excel online course?

You will have a good grasp of EDA basics and understand to analyze, clean, and manipulate gathered data to employ for Data Science, Machine Learning, and Business Analytics tasks. After completing this free online course, you will also gain skills to employ univariate analysis to explore single data pieces for various purposes.  
 

How much does this EDA with Excel course cost?

This is a free online course offered to expand your skills in working with Data Science and Business Analytics tasks.  
 

Is there a limit on how many times I can take this free EDA with Excel course?

No. Great Learning Academy courses are free and self-paced. You can revise the topics of your choice as many number of times as you want after enrolling in them. 
 

Can I sign up for multiple courses from Great Learning Academy at the same time?

You can enroll in as many courses as you are interested in at once and learn from them online. 

Who is eligible to take this free EDA with Excel course?

This course teaches Excel concepts for EDA from basics. So anyone with little or no knowledge interested in learning Data Science and Business Analytics can take this course for free online. 
 

What are the steps to enroll in this online EDA with Excel course?

Enrolling in any of the Great Learning Academy’s free online courses involves 2 steps:

  1. Click on the “Enroll for Free” button on the course page. 
  2. Register with your user credentials to create a user account. 

The course directs you to the learning modules. Also, your courses of interest will be available in the dashboard after enrolling for them. 

Is there any limit on how many times I can take this free course?

Once you enroll in the Errors in Exploratory Data Analysis with Excel course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

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