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Intro to Exploratory Data Analysis with Excel

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
4.59
average rating

Ratings

Intermediate

Level

2.25 Hrs

Learning hours

14.5K+
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Intro to Exploratory Data Analysis with Excel

2.25 Learning Hours . Intermediate

Enrol free with email

Skills you’ll Learn

EDA Basics
Data Analysis
Data Cleaning
Data Manipulation
Univariate Analysis

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. 
 

Our course instructor

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Denver Dias

Senior Data Science Consultant

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62.4K+ Learners
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4 Courses

Trusted by 10 Million+ Learners globally

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4.8
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4.81
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4.97
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4.7

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

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What our learners enjoyed the most

Ratings & Reviews of this Course

Reviewer Profile
Meshveeni Murugan

5.0

★★★★ ★
Great Learning Experience: Highly Informative Session, Engaging and Insightful
The content was easy to follow and very well-structured. I appreciated the clear explanations and practical examples provided throughout the session. The session was highly engaging and offered valuable insights into the topic. The interactive elements and real-world applications made it a memorable learning experience.
Reviewer Profile
Suhail Ahmed

5.0

★★★★ ★
Insightful and Practical Course on Exploratory Data Analysis
I particularly appreciated the clear explanations and practical exercises in each module. The hands-on sections were especially useful for applying what was learned in real-world scenarios. The data cleaning and manipulation segments were very informative, and the final insights provided a great summary of the key takeaways.
Reviewer Profile
Vishal Randhawa

5.0

★★★★ ★
Comprehensive and Well-Structured Learning Experience
I really appreciated the depth of the topics covered in this course. The curriculum was engaging, and the quizzes and assignments reinforced the concepts effectively. The instructor’s explanations were clear, making it easy to follow along. Overall, a great course for mastering exploratory data analysis in Excel.
Reviewer Profile
Anthonius Harapan

5.0

★★★★ ★
Fantastic Training Experience with a Knowledgeable Trainer
I had a fantastic experience at the training. The trainer was knowledgeable and engaging, and the content was relevant and practical.
Reviewer Profile
Abdul Waleed

5.0

★★★★ ★
Highlight of My Exploratory Data Analysis with Excel Course Experience
The Exploratory Data Analysis with Excel course on Great Learning enhanced my data analysis skills, taught me advanced Excel functions, and improved my ability to visualize data effectively.
Reviewer Profile
Dzedzi Philly

5.0

★★★★ ★
Appreciating the Course Content from a Practical Perspective
The instructor's teaching style was very engaging and effective in explaining the complex topics.
Reviewer Profile
Deysi Cajamarca Zurita

5.0

★★★★ ★
Excelente Experiencia: El Curso de Excel Superó Mis Expectativas
El curso de Excel superó mis expectativas, la estructura fue clara y eficiente y cubrió desde lo básico.
Reviewer Profile
Anu Batra

5.0

★★★★ ★
Easy to Understand with Detailed Examples
The course is very well explained. I liked the way the instructor explained it via examples.
Reviewer Profile
Mohammad Abu Syed

4.0

★★★ ★ ☆
A Great Opportunity to Learn Online
The course on Great Learning offers a comprehensive dive into Excel, covering basics to advanced techniques like pivot tables and macros. The instructor’s clear explanations and the course's interactive elements, such as quizzes and practical projects, enhance learning. However, the pace can be quick, and more real-world examples would be beneficial. Regular updates and detailed feedback on assessments could improve the experience. Overall, it’s a valuable resource for enhancing Excel skills.
Reviewer Profile
Soumya pk

5.0

★★★★ ★
I Really Love Go Learning: An Amazing Platform to Learn
I love the way they teach. With examples, a beginner can easily understand. I strongly suggest Great Learning.

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Intro to Exploratory Data Analysis with Excel

2.25 Learning Hours . Intermediate

Enrol free with email

Frequently Asked Questions

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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Exploratory Data Analysis (EDA) is a process of understanding and summarizing the main characteristics of a dataset through visualizations and statistical methods. It is an important step in the data analysis process, as it helps identify patterns, outliers, and relationships within the data that can inform the further analysis.

Intro to Exploratory Data Analysis with Excel is a course that focuses on teaching individuals how to use Microsoft Excel to perform EDA. The course is designed for individuals who have a basic understanding of Excel and want to learn how to use the software for data analysis.

There are several use cases for EDA in business, including identifying trends and patterns in sales data, detecting outliers in customer behavior, and understanding relationships between variables in a dataset. EDA can also be used to visualize data and communicate insights to stakeholders, making it an important tool for data analysts and data scientists.

Taking an Intro to Exploratory Data Analysis with Excel course can help individuals improve their data analysis skills and gain a deeper understanding of how to use Excel for EDA. The course will cover various topics, including importing data into Excel, creating charts and graphs, and performing basic statistical analysis.

By taking an Intro to Exploratory Data Analysis with Excel course, individuals can perform EDA confidently and gain a deeper understanding of how to use Excel for data analysis. They will also be equipped with the skills necessary to make data-driven decisions and communicate insights to stakeholders.

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