Introduction to Data Analysis Using Excel
Master essential Excel skills for data analysis. Learn spreadsheet functions, pivot tables, filtering, and advanced charting techniques for business insights.
Master essential Excel skills for data analysis. Learn spreadsheet functions, pivot tables, filtering, and advanced charting techniques for business insights.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Statistics and Analysis Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Import and organize data in Excel from various file formats
Master essential Excel functions including IF, nested IF, VLOOKUP, and HLOOKUP
Filter and analyze data efficiently using Excel's built-in tools
Create and customize pivot tables to summarize and present complex data
Develop professional charts and graphs including line, bar, pie charts, and histograms
Use scatter plots to visualize relationships between variables
Skills you'll gain
This course includes:
3.3 Hours PreRecorded video
29 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces Excel as a powerful tool for data analysis, catering to both beginners and those looking to enhance their existing skills. The curriculum begins with fundamental spreadsheet operations, teaching students how to import data from various formats and apply basic formatting and arithmetic functions. Learners master essential concepts like absolute and relative cell referencing while working with practical business datasets. The course progresses to more advanced Excel functionality, including logical functions such as IF, nested IF, VLOOKUP, and HLOOKUP for organizing and querying data. The third module introduces data filtering techniques and the powerful Pivot Table feature for summarizing and analyzing large datasets. Students also begin exploring Excel's visualization capabilities. The final module focuses on advanced graphing and charting, covering line graphs, bar charts, pie charts, pivot charts, scatter plots, and histograms. Throughout the course, concepts are demonstrated using easy-to-understand examples that help students develop practical data analysis skills applicable in business contexts.
Introduction to Spreadsheets
Module 1 · 6 Hours to complete
Spreadsheet Functions to Organize Data
Module 2 · 6 Hours to complete
Introduction to Filtering, Pivot Tables, and Charts
Module 3 · 5 Hours to complete
Advanced Graphing and Charting
Module 4 · 5 Hours to complete
Fee Structure
Instructor
Associate Professor of Management
Sharad is a faculty of Management at the Jones Graduate School of Business at Rice University, Houston, Texas. He holds a Ph.D. from Carnegie Mellon University, and his expertise lies in Business statistics and data analytics.
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