Programs

Excel Free Online Course with Certification [2022]

Excel is among the most popular tools among organizations. It helps companies organize and analyze their data more efficiently. If you’ve read about data analysis, you must’ve heard of MS Excel. Even though this tool seems simple, it has many advanced features and applications. Learning about those implementations is crucial to use this software for data analysis. 

To help you understand how you can use Excel effectively to perform data analysis, we have launched free Excel courses under our new upGrad Free Courses. You only have to head to the upGrad’s Data Science Free Courses page, select your desired course, click on Register, and complete the registration process.

You only have to invest 30 minutes per day for a few weeks to learn Excel for free. This article discusses why you should know this skill, how our free courses including ‘Introduction to Data Analysis using Excel’, ‘Analyzing Patterns in Data and Story Telling’ and ‘Exploratory Data Analysis using Excel’ can help you, and how you can start.

You can also consider doing our Python Bootcamp course from upGrad to upskill your career.

Learners receive an average Salary hike of 58% with the highest being up to 400%.

Why Learn Excel?

Excel is the foundational tool to perform data analysis. Organizations always look for the most skilled candidates while hiring, and having Excel as a skill in your CV would undoubtedly help you. Excel has many advanced features, but at its core, it’s the most straightforward software to perform data analysis.

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Almost all the significant analysis firms such as Mu Sigma and McKinsey use Excel sheets for their data requirements. Excel allows you to learn the fundamentals of data analysis much quicker, and you can apply what you learned to more advanced technologies as well. If you want to enter the field of data science and analytics, you must start with MS Excel. 

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Why choose Excel free courses from upGrad?

There are many advantages to joining our free Excel courses. In the following points, we’ll share some of those highlights to help you remove any doubts regarding the course:

1 to 1 Industry Mentorship

You get to study exclusively from an industry expert. The exclusive experience ensures that you learn quickly and efficiently. 

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Cutting Edge Content

The content of the course is a product from leading data scientists and professionals. The high-quality content ensures that you learn the concepts step-by-step sequentially. starting learning

Free Certificate

After you complete the Excel course, you’ll get a certificate of completion. The certificate would surely help your resume and inform recruiters about your expertise in Excel. 

The best thing about our Excel course is that it’s available for free. You don’t have to spend a dime on Starting to learn Excel for data analysis. Now that we’ve discussed why this course is beneficial for you, let’s talk about its contents:

What Will You Learn?

MS Excel is probably the most popular data analysis tool. Learning this technology is vital to becoming a data analyst. Not only does it help you perform data analysis by itself, but it also enables you to use other data analysis tools with ease.

Our course covers the basic and advanced concepts of data analysis in Excel. The course allows you to learn Excel for free. After its completion, you’d know how to perform data analysis by using MS Excel. Below is the list of free courses available:

1. Introduction to Data Analysis using Excel
2. Analyzing Patterns in Data and Storytelling
3. Exploratory Data Analysis in Excel

The course lasts for four weeks, and you’d only have to invest 30 minutes per day during this period to learn Excel for free. Let’s explore each one of our course’s sections in detail:

Introduction to Data Analysis using Excel

In this course, you’d learn how. You’d see how you can use Excel to perform data analysis in your everyday life. At its core, Excel is simply a spreadsheet tool that allows you to create and modify the same.

You can use it to organize data properly so you can access it with ease and perform operations on it. MS Excel has many features and tools that you can use to perform data analysis. Understanding the basic concepts of MS Excel and its application in data analysis is essential as it will help you build the necessary foundation for learning more advanced concepts.

This course will help you understand these concepts through real-life examples of your daily life. You’d learn the primary uses of Excel and how you can store data in it efficiently. Knowing how to use Excel for storing data is vital because proper data arrangement helps in pattern recognition, which we’ll explore in the next section of our course. 

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Analyzing Patterns in Data and Storytelling

In this course, you’ll learn how to analyze patterns from the data present in your input. One of the crucial steps of data analysis is recognizing patterns in your dataset. Pattern recognition helps you generate insights. You’d get to learn the basics of pattern recognition and research in this course.

You should know what kind of patterns are possible in data and how you can use them to perform data analysis.

However, your generated insights would go in vain if you can’t share them with others. One of the most significant aspects of successful data analysis is how you convey your insights. You might be excellent at recognizing patterns in your dataset and generating insights from them, but if you don’t know how to share your findings with others, your effort will go wasted.

That’s why you’ll learn storytelling in our Excel online course for free. Learning storytelling will help you understand how you can convey data to others as a comprehensible narrative. A skilled data analyst doesn’t have to rely solely on charts or numbers. Storytelling in data analysis has many aspects.

You should know how to find a compelling narrative, understand your audience, remain objective, and keep many factors in mind while sharing your insights.

Exploratory Data Analysis in Excel

This course will help you get insights on how to perform exploratory analysis in Excel. It will  teach you the techniques to display data such that it provides interesting insights.

EDA i.e. Exploratory Data Analysis, is the process of investigating data to discover anomalies, patterns and to check the assumptions through graphical representations and summary statistics. You can say that it’s an advanced method of performing the tasks we have discussed in our course so far. 

It explores data graphically in Excel through scatter plots, box plots, histograms, and bar charts. EDA is crucial to help you generate insights from your data. It provides you with a much efficient and quicker way to explore your data to ensure you don’t miss anything.

By the end of this course, you’d be familiar with exploring your data through EDA in Excel and generate valuable insights much quickly and easily. 

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How to Start

As you can see, our course covers all the concepts you need to start performing data analysis with MS Excel. To begin your learning journey and take part in this program, you can follow these steps:

  • Head to the upGrad Free Courses section
  • Select the “Getting Started with course of your choice.
  • Click the “Register” button
  • Complete the registration process

That’s it. After completing these steps, you can start learning Excel’s fundamentals and its applications in data analysis. These course will give you the necessary foundation to learn more advanced concepts later on. Head to our upGrad Free Courses page and enroll in these courses today. 

If you have any questions or suggestions regarding this course, please let us know through the comment section below. We’d love to hear from you. 

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What is Excel?

Excel, as it is commonly known as, is a spreadsheet software developed by Microsoft and launched in 1985 for Macintosh and in 1987 for other processors. It consists of rows and columns, making recording data in a tabular form easier. From recording numbers to document sales of an organisation to the details of patients and their medical history can all be made easy with the use of Excel. Excel even makes the analysis of the recorded data more comfortable. The graphs and charts make decision-making trouble-free. Various formulae in excel facilitate filtering data entailing the needs of multiple users of the same data.

What are the alternatives to Excel, and what benefits do they offer?

Excel, due to its popularity, now has several competitors. Some as a website, while others as a software or application are now widely used in place of Excel. Google Sheets, Zoho sheets, Apache OpenOffice Calc, LibreOffice Calc, etc., are substitutes for Excel. In a sphere where Excel lacked, its contender filled the gap. The collaboration feature is the main reason why users switched. Collaboration with other users, as well as other applications where charts in sheets can be linked to docs or slides, is easy with google sheets. Another drawback that excel users faced was the number of versions of the same application and the mandate to update if one does not want to face

How to use Excel effectively?

Gone are the days when Excel was just used for calculations and tables; it has now emerged as an eminent tool utilised by almost all organisations to analyse data and make business decisions. Totting up numbers is now a flash from the past. Using pivot tables to perceive and apprehend is now the new normal. Using filters option, freezing rows, and columns, are a few of the features which find importance in today's world. Transposing rows into columns and vice-versa, removing duplicate information, and using conditional formatting has made its utility reach the zenith. Various formulae like VLOOKUP, INDEX and MATCH, COUNTIF, etc., if used appropriately, make the user's tasks easy.

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