Path overview
You’ll begin with Excel, where you’ll learn how to manipulate data using complex formulas, commands, and tools. Next, you’ll transition into SQL, becoming familiar with querying, exploring, and handling data from multiple sources. Lastly, you’ll dive into Python, learning the fundamentals of programming, statistical analysis, and data visualization. This progressive learning journey is designed for both aspiring data professionals and those looking to enhance their data skills.
Best of all, you’ll learn by doing – you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.
Key skills
- Importing, preparing, analyzing, and summarizing data with Excel and Python
- Exploring querying, and extracting specific sets of data using SQL
- Transforming data into informative visual insights
- Using foundational math and statistics to perform data analysis
Path outline
Part 1: Introduction to Data Analysis with Excel [5 courses]
Part 2: Fundamentals of SQL [5 courses]
Part 3: Introduction to Python [4 courses]
Part 4: Data Wrangling and Visualization in Python [3 courses]
Part 5: Statistics Fundamentals for Data Analysis in Python [2 courses]
Projects in this path
Preparing Data with Excel
For this project, you’ll take on the role of a data professional in a marine biology research organization. You’ll use Excel to import, organize and clean a dataset on shark attacks, preparing it for an analysis team to study trends in attack location and frequency over time.
Visualizing the Answer to Stock Questions Using Spreadsheet Charts
For this project, you’ll step into the shoes of a business analyst to explore historical stock market data using Excel. By applying information design concepts, you’ll create compelling visualizations and craft an insightful report – building in-demand skills for communicating data-driven insights.
Identifying Customers Likely to Churn for a Telecommunications Provider
For this project, you’ll act as a data analyst for a telecommunications company. You’ll use Excel to explore customer data and build profiles of those likely to churn, applying statistics, PivotTables and charts.
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.
Analyzing Kickstarter Projects
For this project, you’ll assume the role of a data analyst at a startup considering launching a Kickstarter campaign. You’ll analyze data to help the team understand what might influence a campaign’s success.
Plus 10 more projects
Build your project portfolio with the Junior Data Analyst path.
The Dataquest guarantee
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.
Master skills faster with Dataquest
Go from zero to job-ready
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build your project portfolio
Build confidence with our in-depth projects, and show off your data skills.
Challenge yourself with exercises
Work with real data from day one with interactive lessons and hands-on exercises.
Showcase your path certification
Share the evidence of your hard work with your network and potential employers.
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