Yeside

“I’ve spent months learning on Dataquest and have thoroughly enjoyed the approach and the fact that I got to build portfolio-worthy projects.”

Yeside Okelana

Project Manager

Path overview

You’ll learn the fundamentals of data analysis in Excel, including how to explore and extract data from datasets using SQL. You’ll also learn how to build informative data visualizations using a variety of chart types, as well as how to present insights to audiences using Tableau.

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 Tableau Desktop Specialist Certification, an in-demand assessment that certifies your skills in Tableau.

Key skills

  • Using foundational math and statistics for data analysis
  • Retrieving and manipulating data from databases using SQL
  • Importing, preparing, analyzing, and summarizing data using Excel
  • Conveying insights effectively to tell a story using Tableau

Path outline

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

Introduction to Data Analysis in Excel 4h

Objectives
  • 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

Objectives
  • 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 6h

Objectives
  • 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 5h

Objectives
  • 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 5h

Objectives
  • 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 5h

Objectives
  • 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

Summarizing Data in SQL 3h

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

Combining Tables in SQL Course 3h

Objectives
  • 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 6h

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

Window Functions in SQL 5h

Objectives
  • Set up a frame for window functions
  • Compute running aggregations with aggregate window functions
  • Explore rank window functions
  • Apply distribution window functions
  • Use offset window functions

Part 3: Data Visualization with Tableau [4 courses]

Data Preparation in Tableau 3h

Objectives
  • Prepare for the Tableau Desktop Specialist Certification Exam
  • Import data into Tableau to explore and analyze using visualizations
  • Relate various data imported into Tableau using relationships and joins
  • Clean and filter data imported into Tableau

Data Visualization Fundamentals in Tableau 5h

Objectives
  • Employ data visualization and business intelligence to help solve business problems
  • Visualize data using Tableau and build different types of basic charts
  • Employ data visualization best practices

Visual Analytics in Tableau 3h

Objectives
  • Perform table calculations for data analysis
  • Write level of detail (LOD) expressions
  • Add interactivity using Tableau parameters
  • Visualize data distributions with reference and distribution bands

Sharing Insights in Tableau 3h

Objectives
  • Highlight insights using color, size, and text
  • Build dashboards to combine charts
  • Share and export analyses

The Dataquest guarantee

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.

Money

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.

Guided Project — Data Prep in Tableau

Guided Project — Data Prep in Tableau

Plus 2 more projects

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

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Aaron

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.”

Jessi

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

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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