Business Analyst with Power BI
Career Path: From zero to job-ready in 3 months
Gain the Power BI skills you need to start a career as a business analyst. In this path, you will learn practical SQL, Excel, and Power BI skills. By the end, you will know how to analyze data, communicate insights, and make data-driven decisions.
- Beginner friendly
- 3 months (5 hrs/week)
- Self paced
- 15 Courses
- 10 projects
Path overview
Excel skills you'll learn
- ✓ 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
Business Analyst with Power BI path outline
3 steps · 15 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: Analyzing Data with Microsoft Power BI [5 courses]
Learn how to analyze data effectively using Microsoft Power BI and transform raw information into actionable insights.
- Course 1
Introduction to Data Analysis Using Microsoft Power BI
4hExplore Microsoft Power BI by loading, cleaning, transforming, and analyzing data to uncover insights and support real-world business decisions.
Course Objectives ▾
- Navigate Power BI and use its building blocks
- Understand Power BI interface
- 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
- Course 2
Learn Data Modeling in Power BI
3hDevelop strong data modeling skills in Power BI by designing efficient models, defining relationships, and creating DAX measures for analysis.
Course Objectives ▾
- Design a data model in Power BI
- Understand dimensions and fact tables, 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
- Course 3
Learn to Visualize Data in Power BI
2hCreate effective Power BI visuals by designing charts, reports, and dashboards that communicate insights clearly using real-world datasets.
Course Objectives ▾
- Create Power BI visuals
- Create a data-driven story using Power BI reports
- Design report layout and navigation
- Create dashboards in Power BI
- Course 4
Power BI Analytics
2hDevelop analytical fluency in Power BI by exploring statistics, identifying outliers, grouping and binning data, and analyzing trends over time.
Course Objectives ▾
- Perform data analysis using Microsoft Power BI
- Group and bin data
- Perform time series analysis
- Apply artificial intelligence insights to your data
- Course 5
Manage Workspaces and Semantic Models in Power BI
1hCoordinate reports and semantic models in Power BI by managing workspaces, sharing assets securely, and supporting collaboration across teams.
Course Objectives ▾
- 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
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.
Visualization of Life Expectancy and GDP Variation Over Time
For this project, you'll assume the role of a data analyst tasked with visualizing life expectancy and GDP data over time to uncover trends and regional differences.
Building a BI App
For this project, you'll act as a business intelligence analyst at Dataquest to build a Power BI app that analyzes course quality data, including completion rates and NPS scores, to recommend improvements.
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.
+ 5 more projects throughout the path
Earn your Business Analyst with Power BI Certificate
Add this Excel certificate to your resume or LinkedIn to showcase your skills and stand out in job applications.
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