Business Analyst with Tableau
Career Path: From zero to job-ready in 3 months
Equip yourself with the Tableau skills you need to start your career as a business analyst. In this path, you'll learn practical skills, including SQL, Excel, and Tableau. By the end, you'll know how to build powerful data visualizations, analyze data, share insights with audiences, and make data-driven decisions.
- Beginner friendly
- 3 months (5 hrs/week)
- Self paced
- 14 Courses
- 10 projects
Path overview
Excel skills you'll learn
- ✓ 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
Business Analyst with Tableau path outline
3 steps · 14 courses
Part 1: Introduction to Data Analysis with Excel [5 courses]
Learn how to analyze data with Microsoft Excel.
- Course 1
Introduction to Data Analysis in Excel
3hApply foundational data analysis concepts in Excel to organize information, interpret data, and support informed decision-making.
Course 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
- Course 2
Preparing Data in Excel
6hPrepare datasets for analysis by importing, organizing, cleaning, and consolidating data in Excel spreadsheets.
Course 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
- Course 3
Visualizing Data in Excel
5hDesign clear and informative data visualizations in Excel by selecting appropriate chart types and applying visual design principles for your audience.
Course 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
- Course 4
Exploring Data in Excel
4hExplore and summarize datasets in Excel by applying descriptive statistics and visualizations to uncover patterns and insights.
Course 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
- Course 5
Analyzing Data in Excel
5hAnalyze datasets in Excel using PivotTables, time-series analysis, visualizations, and regression to uncover business insights.
Course 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]
Learn about working with data in a SQL database.
- Course 1
Introduction to SQL and Databases
4hDevelop core SQL skills by writing queries to access, explore, and manipulate data stored in relational databases for common data analysis tasks.
Course 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
- Course 2
Summarizing Data in SQL
2hSummarize large datasets by computing statistics, grouping records, and applying SQL aggregate functions to extract meaningful insights.
Course Objectives ▾
- Employ SQL to compute statistics
- Provide statistics by group
- Filter results over groups
- Course 3
Combining Tables in SQL
3hCombine and analyze data across multiple tables by applying SQL joins and set operators to produce comprehensive, query-ready datasets.
Course 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
- Course 4
SQL Subqueries
6hWrite scalable, advanced SQL queries by nesting subqueries and using common table expressions to solve complex analysis problems.
Course Objectives ▾
- Nest a query inside another query
- Employ different types of subqueries
- Employ common table expressions
- Scale your project with complex queries
- Course 5
Window Functions in SQL
6hAnalyze data more effectively by using SQL window functions to compute running metrics, rankings, distributions, and offsets within queries.
Course 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]
Learn to model, explore, analyze, and visualize data using Tableau.
- Course 1
Data Preparation in Tableau
2hPrepare and consolidate data in Tableau by importing multiple sources, defining relationships, and cleaning datasets for effective visualization and analysis.
Course 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
- Course 2
Data Visualization Fundamentals in Tableau
5hApply data visualization and business intelligence principles in Tableau to explore data, create clear charts, and support business decision-making.
Course 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
- Course 3
Visual Analytics in Tableau
2hCreate interactive, data-driven Tableau dashboards by applying visual analytics techniques, advanced calculations, and user-driven interactivity to answer business questions.
Course 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
- Course 4
Sharing Insights in Tableau
3hCommunicate insights and tell data stories by combining charts into interactive Tableau dashboards designed for exploration and sharing.
Course Objectives ▾
- Highlight insights using color, size, and text
- Build dashboards to combine charts
- Share and export analyses
Excel projects you'll build
10 hands-on projects across the path
Customers and Products Analysis Using SQL
For this project, you'll step into the role of a data analyst at a scale model car company. You'll use SQL skills like joins and subqueries to explore a sales database and provide data-driven answers to key business questions about inventory, customers, and marketing.
Guided Project — Data Prep in Tableau
For this project, you'll act as a data analyst for Dataquest to prepare their online learning platform data for analysis. You'll connect to Excel data, import tables into Tableau, and define table relationships to build a data model for uncovering insights on student engagement and performance.
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.
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.
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.
+ 5 more projects throughout the path
Earn your Business Analyst with Tableau Certificate
Add this Excel certificate to your resume or LinkedIn to showcase your skills and stand out in job applications.
Enroll For FreeThe 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.
Grow your career with Dataquest.
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.
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.
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!
Join 1M+ data learners on Dataquest.
- 1
Create a free account
- 2
Choose a learning path
- 3
Complete exercises and projects
- 4
Advance your career