Microsoft Excel for Data Analytics
- Development
- Feb 26, 2025

Microsoft Excel for Data Analytics, available at $19.99, has an average rating of 4.29, with 52 lectures, based on 7 reviews, and has 27 subscribers.
You will learn about By the end of this course, students will be able to proficiently use Excel functions and formulas to manipulate and transform raw data, including tasks such as Students will develop the ability to perform complex data analysis tasks using advanced Excel features. This includes creating pivot tables, employing data vali Upon completion of this course, participants will be able to design and generate compelling data visualizations, such as charts and graphs, to effectively commu Learners will acquire skills in data cleaning and quality assurance by identifying and rectifying errors, handling missing data, and applying data validation te This course is ideal for individuals who are Beginner Data Analyst seeking to develop their skill in Microsoft Excel. It is particularly useful for Beginner Data Analyst seeking to develop their skill in Microsoft Excel.
Enroll now: Microsoft Excel for Data Analytics
Summary
Title: Microsoft Excel for Data Analytics
Price: $19.99
Average Rating: 4.29
Number of Lectures: 52
Number of Published Lectures: 52
Number of Curriculum Items: 53
Number of Published Curriculum Objects: 53
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Dive into the world of data analytics with the ultimate Excel mastery course! Unleash the full potential of Microsoft Excel as you embark on a journey from spreadsheet basics to becoming a data analytics pro.
What You’ll Learn:
Data Manipulation Magic: Harness the power of Excel functions to effortlessly sort, filter, and analyze your data
Insights at Your Fingertips: Master advanced data analysis techniques using pivot tables, Power Query, and Power Pivot
Visual Storytelling: Transform raw data into compelling visualizations with charts and graphs that speak volumes
Data Cleaning Demystified: Tackle data imperfections with confidence, ensuring accuracy and reliability
Real-world Applications: Apply your skills to real-world scenarios, making Excel your trusted ally in business decision-making
Who Is This Course For?
Professionals seeking to enhance their data analysis capabilities
Business analysts, marketers, and decision-makers looking to leverage data for strategic insights
Excel enthusiasts eager to unlock its full potential for analytics
Why Excel for Data Analytics?
Universal Tool: Excel is the industry-standard spreadsheet software used by professionals worldwide
Accessible Learning: No prior analytics experience required – this course is your entry point to the exciting world of data insights
Career Boost: Elevate your professional profile by adding valuable data analytics skills to your toolkit
Why Enroll Now?
Seize the opportunity to master Excel for data analytics in a dynamic and engaging learning environment. Whether you’re a beginner or have some Excel experience, this course will equip you with the skills needed to confidently navigate the data-driven landscape.
Join us and empower yourself with Microsoft Excel for Data Analytics – because data is not just information; it’s your competitive advantage!
Enroll today and chart your course to becoming a data analytics maestro with Microsoft Excel!
Course Curriculum
Chapter 1: First, Introductions!
Lecture 1: Introduction
Lecture 2: Introduction to Spreadsheets
Lecture 3: Navigating Workbooks
Lecture 4: Templates! Templates!! Templates!!!
Lecture 5: Tabs, Ribbons, Groups
Lecture 6: Cells, Rows, Columns & Ranges
Lecture 7: Imputing and Formatting Data
Lecture 8: Basic Excel Formulas
Chapter 2: Basic Excel Functions
Lecture 1: Relative and Absolute References
Lecture 2: Structure of an Excel Function
Lecture 3: SUM()
Lecture 4: MIN() & MAX()
Lecture 5: AVERAGE()
Lecture 6: COUNT()
Lecture 7: Adjacent Cell Errors
Lecture 8: Autosum
Chapter 3: Applying Formats
Lecture 1: Applying simple formats
Lecture 2: Conditional formatting
Lecture 3: Named Ranges and Tables
Chapter 4: More Functions
Lecture 1: IF()
Lecture 2: Nested-IF()
Lecture 3: IFS()
Lecture 4: COUNTIF()
Lecture 5: SUMIF()
Lecture 6: IFERROR()
Lecture 7: VLOOKUP()
Lecture 8: HLOOKUP()
Lecture 9: Assignment 1
Lecture 10: INDEX()
Lecture 11: MATCH()
Lecture 12: INDEX()-MATCH()
Lecture 13: Assignment 2
Chapter 5: Analytics in Excel
Lecture 1: Basic Excel Charts
Lecture 2: Pivot Tables
Lecture 3: Grouping Pivot Tables
Lecture 4: Calculated Fields in Pivot Tables
Lecture 5: Filtering Pivot Table Data
Chapter 6: More Analytics!
Lecture 1: Pivot Charts
Lecture 2: Slicers
Lecture 3: Dashboards (Part 1)
Lecture 4: Dashboards (Part 2)
Chapter 7: Even More Analytics!
Lecture 1: Power Pivot
Lecture 2: Activating Power Pivot Add-in
Lecture 3: Data Models
Lecture 4: Creating Pivot Tables from Data Models
Chapter 8: Exploring Scenarios in Excel
Lecture 1: Goal Seek tool
Lecture 2: Solver tool
Lecture 3: Data tool
Lecture 4: Scenario Manager
Chapter 9: Bonus!
Lecture 1: Data Cleaning in Excel
Lecture 2: The Query Editor
Chapter 10: Capstone Project
Lecture 1: Capstone Project
Instructors

Damilare Abolaji
Senior Business Intelligence Developer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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