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Business Analytics Courses
These business analytics courses teach SQL, Excel, and predictive modeling to optimize operations. You’ll analyze corporate data to identify trends, forecast outcomes, and support strategic decision-making.
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Recommended Path for Beginners
Start your business analytics journey with these expert-curated learning paths.
Business Analyst (Power BI)
Transform raw data into executive-ready insights using Excel, SQL fundamentals, and polished Power BI dashboards.
Business Analyst (Tableau)
Turn data into decisions using Excel, SQL basics, and audience-ready Tableau dashboards that tell clear stories.
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Explore All Business Analytics Courses
Junior Data Analyst (Excel + SQL)
Analyze and communicate insights by preparing, querying, and visualizing data with Excel, SQL, and Python to support data-driven decisions.
Business Analyst (Tableau)
Turn data into decisions using Excel, SQL basics, and audience-ready Tableau dashboards that tell clear stories.
Business Analyst (Power BI)
Transform raw data into executive-ready insights using Excel, SQL fundamentals, and polished Power BI dashboards.
Data Analyst (R)
Analyze, clean, and visualize data using R and SQL to perform end-to-end statistical analysis and communicate insights effectively.
Data Scientist (Python)
Analyze complex datasets and build predictive models by applying statistics and machine learning to deliver end-to-end data science solutions.
Data Analyst (Python)
Build end-to-end analytics skills with Python and SQL—cleaning data, visualizing insights, and delivering business answers.
Python Basics for Data Analysis
Build foundational Python skills to write, organize, and apply code for analyzing real-world data and supporting data-driven decisions.
Zero to GPT
Build and train deep learning models from scratch, including GPTs, by applying neural networks, optimization, and modern transformer techniques.
Machine Learning
Train predictive models in Python, evaluate performance, and apply machine learning to real datasets for insights.
Data Visualization in Tableau
Master Tableau basics—cleaning, modeling, and building interactive dashboards that surface patterns and insights fast.
Data Cleaning in Python
Clean, transform, and prepare messy datasets by applying core data cleaning techniques in Python to support reliable analysis.
Data Analysis in Power BI
Master core Power BI workflows—cleaning data, modeling relationships, and crafting interactive reports for business stakeholders.
Data Literacy using Excel
Develop data literacy while using Excel to organize, analyze, and visualize information with practical, business-ready techniques.
Data Visualization in Python
Explore, analyze, and visualize real datasets with pandas, NumPy, and Matplotlib to communicate insights confidently.
SQL
Query, join, and aggregate data with SQL to answer business questions and build reliable analytics.
Data Analysis in Power BI
Develop analytical fluency in Power BI by exploring statistics, identifying outliers, grouping and binning data, and analyzing trends over time.
Learn to Visualize Data in Power BI
Create effective Power BI visuals by designing charts, reports, and dashboards that communicate insights clearly using real-world datasets.
Learn Data Modeling in Power BI
Develop strong data modeling skills in Power BI by designing efficient models, defining relationships, and creating DAX measures for analysis.
Learn Business Analytics Courses by Building Projects
Apply your skills to real-world scenarios with these guided projects
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.
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.
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.
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.
Frequently Asked Questions
How do you choose the right business analytics course for your goals?
Choose a course that balances business strategy and statistics. You need to learn how to interpret data, not just collect it. Dataquest’s courses focus on the “why” behind analysis, teaching you to use data to improve business performance and support better decisions.
What are the best business analytics courses online?
The best courses use real-world business data from areas like sales, marketing, and finance. Dataquest projects are built around these scenarios, helping learners prepare for the type of work they will do on the job.
Do you need a technical background before starting business analytics courses?
No, many online programs are built for non-technical learners. They teach technical skills gradually and focus on real business problems. Dataquest guides you step-by-step, making the transition into analytics approachable even without prior coding experience.
What is business analytics?
Business analytics is the practice of using data, statistics, and quantitative methods to understand business performance, identify trends, and make data-driven decisions. Dataquest teaches the SQL, Excel, and data visualization skills needed to analyze business data, generate actionable insights, and support strategic decision-making.
What’s the difference between data analytics and business analytics?
Data analytics focuses on analyzing data and identifying patterns.
Business analytics focuses on using those insights to answer business questions and guide decisions.
Simply put, data analytics shows what is happening, and business analytics explains what to do about it.
How does business analytics support business decisions?
Business analytics supports business decisions by turning data into clear, actionable insights. It helps teams understand what is happening in the business and what actions to take next.
In practice, business analytics helps solve business problems such as improving operations, increasing revenue, or reducing costs by showing where changes will have the biggest impact.
Is business analytics hard to learn?
Business analytics is approachable for most learners. It involves some math and logic, but you do not need an advanced math background. Dataquest teaches statistics alongside coding, so you learn the theory and how to apply it at the same time.
Which programming language should you learn for business analytics?
Start with SQL. SQL is the core skill for pulling and analyzing data in most business roles. Learn Python next if you want deeper analysis or predictive analytics. Dataquest’s Business Analyst Path teaches the most important tools first, starting with Excel and then building into SQL, visualization, and Python when needed.
What skills are needed for business analytics?
You need to know how to work with data using tools like SQL and Excel, and understand basic statistics to interpret results correctly. Data visualization is also important because charts and dashboards help others understand what the data shows.
Strong analytics skills also include logical thinking and clear communication. You need to explain insights in a simple way so they can support business decisions.
Is a business analyst a high-demand job?
Yes, business analysts are in high demand across many industries. Companies rely on them to turn data into decisions.
Common career paths include senior business analyst, business intelligence analyst, product manager, analytics manager, or moving into data analyst or data science roles with additional technical skills.
How do you get started in business analytics?
Start by learning core analytics tools and applying them to real business problems. Business analytics courses teach SQL, Excel, and data visualization skills used to analyze performance and support decisions. Building small projects helps show how you turn data into insights and recommendations.
With consistent study, many learners become job-ready in 3–6 months. Dataquest provides a clear roadmap to help you focus on the skills that matter most.
How much do business analytics courses cost?
Costs vary widely, from free introductory courses to monthly subscriptions on learning platforms to university programs costing thousands.
Dataquest offers an affordable subscription with full access to all business analytics, data science, engineering, and AI courses. It also includes free lessons and a 14-day money-back guarantee, so you can start learning risk-free.
Will you get a certificate, and does it help you stand out?
Yes. You earn a certificate when you complete Dataquest courses and projects. The certificate reflects hands-on work rather than theory alone. The projects help you build a portfolio and support your career by showing how you turn data into business value.