Earn a certificate & get recognized

Intro to Exploratory Data Analysis with Excel

star 4.59  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

course content icon

Get free course content

handyman icon

Master in-demand skills & tools

quiz icon

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. 


 

Stand out with an industry-recognized certificate

local_fire_department

10,000+ certificates claimed, get yours today!

blue-tick

Get noticed by top recruiters

blue-tick

Share on professional channels

blue-tick

Globally recognised

blue-tick

Land your dream job

Certificate Image

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 4.59

2.25 Hours

Intermediate

user icon

16.6K+ learners enrolled so far

blue-tick

Get free course content

blue-tick

Master in-demand skills & tools

blue-tick

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.59
76%
17%
5%
0%
2%
Reviewer Profile

5.0

Country Flag Nigeria
“Highlight of My Learning Experience”
I loved how the course combined videos, quizzes, and hands-on activities to keep things interesting and cater to different learning styles. It was a comprehensive experience that not only increased my knowledge but also built my confidence in applying these skills.
Reviewer Profile

5.0

Country Flag United States
“Excellent Course with Hands-On Projects”
Loved it! Clear explanations, interactive examples, and great support. It boosted my confidence in working with data analytics tools. Definitely worth the investment.
Reviewer Profile

5.0

Country Flag Indonesia
“Instructor, Topic Depth, Easy to Follow”
The instructor demonstrated a strong understanding of the topic, presenting complex concepts in a clear and engaging manner. The depth of coverage allowed for a thorough exploration of the subject, while the pacing was well-suited for learners at various levels. The use of practical examples and visual aids made the material easy to follow, enhancing comprehension. Overall, the instructor's ability to break down intricate ideas into digestible segments contributed significantly to a positive learning experience.
Reviewer Profile

5.0

“The Course Provided a Comprehensive Understanding of Exploratory Data Analysis Using Excel”
The course was a fantastic experience, blending theory and practice seamlessly. It enhanced my proficiency in Excel and equipped me with essential skills to analyze and interpret data insights effectively. Highly recommended for anyone starting their journey in data analysis!
Reviewer Profile

5.0

Country Flag United States
“Great Learning Experience, Loved the Videos”
The videos were easy to follow, and they made the learning better. By showing the graphs and data sets as well as the formulas, I learned better.
Reviewer Profile

5.0

Country Flag United States
“Explanation on Excel Spreadsheet and Features”
I like how he explained the different things and features we can use in Excel.
Reviewer Profile

5.0

Country Flag United States
“Exploratory Data Analysis with Excel”
The course was straightforward and fast to take. There were some things that weren't known to me.
Reviewer Profile

5.0

Country Flag Malaysia
“Exploratory Data Analysis - EDA by Using Excel”
It is divided into 6 sections such as data understanding, data preparation, univariate analysis, bivariate analysis, correlation matrix, and presents insights with manners.
Reviewer Profile

5.0

Country Flag India
“Advanced Microsoft Excel Tools Details”
1. Power Query: Used for importing, cleaning, and transforming data from various sources. 2. Power Pivot: Allows creating data models with multiple tables, establishing relationships, and performing complex calculations using DAX (Data Analysis Expressions). 3. Macros (VBA): Automates repetitive tasks through scripting, enabling users to create custom functions and automate processes. 4. Power BI Integration: Connects Excel to Power BI for advanced data visualization and analysis, leveraging Excel’s data models. 5. Solver: Optimizes decision-making by finding the best solution to complex problems with constraints, commonly used in financial modeling. 6. Data Tables: A what-if analysis tool that allows for scenario analysis, helping evaluate multiple outcomes based on different variables. 7. Conditional Formatting: Applies specific formatting to cells that meet certain criteria, useful for highlighting trends and outliers in data. 8. PivotTables and PivotCharts: Summarizes, analyzes, and visualizes large datasets dynamically, providing insights through drag-and-drop interfaces. These tools help enhance data analysis, automation, and decision-making in Excel.
Reviewer Profile

4.0

“Data Cleaning and Explore Data Using Case Study”
I like that the material was a case study, not just theory, so I can understand better.

What our learners enjoyed the most

Our course instructor

instructor img

Denver Dias

Senior Data Science Consultant

Data Science Expert

learner icon
101.4K+ Learners
video icon
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.

Subscribe to Academy Pro+ & get exclusive features

$29/month

No credit card required

pro banner image

Learn from 40+ Pro courses

pro banner image

Access 500+ certificates for free

pro banner image

700+ Practice exercises & guided projects

pro banner image

Prep with AI mock interviews & resume builder

img icon FREE
Statistics for Data Science
star   4.51 8.5K+ learners
1 hr
img icon FREE
Data Science Foundations
star   4.45 661.8K+ learners
2 hrs
img icon FREE
Data Science in FMCG
star   4.6 5.1K+ learners
1 hr
img icon FREE
GIS Essentials: Data, Tools & Applications
star   4.5 2.8K+ learners
2 hrs

Similar courses you might like

img icon FREE
Data Science with Python
star   4.61 115.7K+ learners
11.5 hrs
img icon FREE
HR Database Management System
star   4.5 30.8K+ learners
1 hr
img icon FREE
Measures of Dispersion
star   4.47 2.3K+ learners
1 hr
img icon FREE
Principal Component Analysis
star   4.43 3.6K+ learners
0.5 hr

Related Data Science Courses

50% Average salary hike
Explore degree and certificate programs from world-class universities that take your career forward.
Personalized Recommendations
checkmark icon
Placement assistance
checkmark icon
Personalized mentorship
checkmark icon
Detailed curriculum
checkmark icon
Learn from world-class faculties

Other Data Science tutorials for you

Enroll For Free