“I can’t believe how easily and clearly complex material is presented on Dataquest. Even beginners can learn on Dataquest.”

Viktoria Jorayeva

Business Analyst @Fractal

Path overview

You’ll learn the fundamentals of data analysis in Excel, including how to explore and extract data from datasets using SQL, how to perform descriptive statistical analysis, and how to present insights using dashboards and visualizations in Power BI.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects with realistic business scenarios to build your portfolio and prepare for your next interview.

By the end of the career path, you’ll be ready for the official Microsoft Power BI Data Analyst certification PL-300, an in-demand assessment that certifies your skills in Power BI.

Key skills

  • Using and applying foundational math and statistics to perform data analysis
  • Retrieving and manipulating data from databases using SQL
  • Importing, preparing, analyzing, and summarizing data with Excel
  • Conveying insights effectively to tell a story using Microsoft Power BI

Path outline

Part 1: Introduction to Data Analysis with Excel [5 courses]

Introduction to Data Analysis in Excel 3h

  • Define, categorize, and evaluate data
  • Identify ways data is used in business and everyday life
  • Organize data
  • Describe key steps of the data analysis process

Preparing Data in Excel 6h

  • Import data into an Excel spreadsheet from more than one data source
  • Organize data into a spreadsheet using worksheets and tables
  • Clean, manipulate, and modify the data
  • Consolidate the data for analysis

Visualizing Data in Excel 5h

  • Visualize data using pie, column, histogram, line, scatter, and combo charts
  • Select the appropriate data visualization
  • Create charts using design principles
  • Design visualizations for your intended audience

Exploring Data in Excel 4h

  • Define descriptive statistics
  • Identify the different types of descriptive statistics
  • Identify when to use each descriptive statistic
  • Apply and compare different descriptive statistics to a single column, to multiple columns, and to groups of data
  • Create visualizations to explore and analyze data

Analyzing Data in Excel 4h

  • Analyze data and discover business insights using PivotTables
  • Identify trends over time in time-series data
  • Summarize and visualize relationships between categorical and quantitative variables
  • Confirm a relationship between an independent and dependent variable using linear regression
  • Estimate the sensitivity of an output to given inputs

Part 2: Fundamentals of SQL [5 courses]

Introduction to SQL and Databases 2h

  • Define the structure of SQL
  • Create basic queries to extract data from tables in a database
  • Define databases
  • Identify different versions of SQL
  • Write good SQL code

Filtering and Sorting Data in SQL 4h

  • Define binary operations and functions
  • Define datatypes
  • Filter results based on logical constraints
  • Order results

Summarizing Data in SQL 3h

  • Employ SQL to compute statistics
  • Provide statistics by group
  • Filter results over groups

Combining Tables in SQL Course 3h

  • Combine tables using inner joins
  • Employ different types of joins
  • Employ other SQL clauses with joins
  • Join on complex conditions
  • Employ set operators like UNION and EXCEPT

SQL Subqueries 5h

  • Nest a query inside another query
  • Employ different types of subqueries
  • Employ common table expressions
  • Scale your project with complex queries

Part 3: Analyzing Data with Microsoft Power BI [5 courses]

Introduction to Data Analysis in Microsoft Power BI 4h

  • Navigate Power BI and use its building blocks
  • Import data from common sources into Power BI
  • Rename objects, pivot data, and select valuable data for your analysis
  • Simplify a complicated model and change data types
  • Combine data and find anomalies

Model Data in Power BI 7h

  • Design a data model in Power BI
  • Understand dimensions, define data granularity, and work with relationships and cardinality
  • Create measures using Data Analysis Expressions (DAX) in Power BI
  • Optimize a model for performance in Power BI

Visualize data in Power BI 5h

  • Create Power BI visuals
  • Create a data-driven story using Power BI reports
  • Design report layout and navigation
  • Create dashboards in Power BI

Data Analysis in Power BI 3h

  • Perform data analysis using Microsoft Power BI
  • Group and bin data
  • Perform time series analysis
  • Apply artificial intelligence insights to your data

Manage Workspaces and Datasets in Power BI 2h

  • Create and manage a workspace in Power BI
  • Import and update assets in a Power BI workspace
  • Configure data protection in a Power BI workspace
  • Create dynamic reports with parameters
  • Implement static and dynamic row-level security

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

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 your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Projects in this path

Guided Project: Preparing Data with Excel

In this guided project, you’ll import a dataset, organize it, clean it, and then consolidate it into a single table, preparing it for analysis.

Guided Project: Visualizing the Answer to Stock Questions Using Spreadsheet Charts

In this project, we will apply the knowledge and skills we developed in the preceding lessons to present stock data clearly and help answer important questions about the underlying data.

Guided Project: Identifying Customers Likely to Churn for a Telecommunications Provider

In this project, we’ll conduct an Exploratory Data Analysis (EDA) on data from a telecommunications provider to create profiles on customers that are at risk of churn.

Guided Project: Analyzing Retail Sales

Work with retail sales data to explore trends and relationships. Build basic models to confirm the statistical significance of your insights.

Plus 3 more projects

Build your project portfolio with the Data Analyst in Python path.

Learning resources

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In this tutorial, you'll learn how to install PostgreSQ...
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There are lots of great reasons to learn Microsoft Powe...
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Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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