Course overview
This course is part of the “Introduction to Data Analysis with Excel” skill path, which we designed for those seeking the practical skills in Excel to perform data analysis and visualization — and ultimately help organizations make better-informed decisions. We designed it for aspiring data professionals with little experience and learners who use basic Excel in their daily jobs and want to enhance their skills.
In this course, you’ll learn how to develop business insights using PivotTables, how to identify trends using time-series analysis, and how to create data visualizations to tell meaningful stories. You’ll also learn how to summarize and visualize relationships between categorical and quantitative variables.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser.
Key skills
- Using PivotTables to analyze data and discover business insights
- Working with time-series data to identify trends over time
- Confirming a relationship between an independent and dependent variable using linear regression
- Estimating the sensitivity of an output to given inputs
Course outline
Analyzing Data in Excel [6 lessons]
Variance Analysis in Excel 1h
Lesson Objectives- Roll up and drill down on a dataset using PivotTables
- Identify differences to budget or previous period
- Create custom groupings within a defined hierarchy
Trend Analysis in Excel 1h
Lesson Objectives- Resample time series data using PivotTables
- Visualize trends
- Perform basic forecasting
Exploratory Data Analysis in Excel 1h
Lesson Objectives- Summarize data with proportion tables and descriptive statistics
- Visualize the distributions of two or more categories
- Explore the relationship of two continuous variables with correlations
Confirmatory Data Analysis in Excel 1h
Lesson Objectives- Compare the difference in means between two groups for statistical significance
- Build a basic linear regression model
- Visualize important statistics concepts using Excel
Business and Financial Modeling in Excel 1h
Lesson Objectives- Estimate the sensitivity of an output to given inputs
- Build a scenario manager to anticipate possible outcomes
- Perform what-if analysis to estimate a project’s breakeven point
Guided Project: Analyzing Retail Sales 1h
Lesson Objectives- Combine and profile data sources
- Analyze and visualize trends in sales over time
- Analyze changes over time at varying levels of a hierarchy
- Model future business scenarios for impact on profitability
Projects in this course
Analyzing Retail Sales
For this project, we’ll take on the role of an analyst for a chain of retail stores to explore sales performance across categories and over time using Excel.
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Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
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