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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
Power BI
Explore Microsoft Power BI by loading, cleaning, transforming, and analyzing data to uncover insights and support real-world business decisions.
Querying Databases with SQL and R
Query SQLite databases from R by executing SQL statements to retrieve, filter, and analyze subsets of data for practical analysis tasks.
Querying Databases with SQL and Python
Retrieve and analyze data from SQLite databases by running SQL queries in Python and converting results into pandas DataFrames for analysis.
Querying SQLite from Python
Query SQLite databases from Python by executing SQL statements and working with cursors to retrieve and analyze data.
Introduction to SQL and Databases
Develop core SQL skills by writing queries to access, explore, and manipulate data stored in relational databases for common data analysis tasks.
Window Functions in SQL
Analyze data more effectively by using SQL window functions to compute running metrics, rankings, distributions, and offsets within queries.
SQL Subqueries
Write scalable, advanced SQL queries by nesting subqueries and using common table expressions to solve complex analysis problems.
Summarizing Data in SQL
Summarize large datasets by computing statistics, grouping records, and applying SQL aggregate functions to extract meaningful insights.
Combining Tables in SQL
Combine and analyze data across multiple tables by applying SQL joins and set operators to produce comprehensive, query-ready datasets.
Introduction to Conditional Probability in Python
Extend probability fundamentals to conditional reasoning, independence, and prior knowledge, culminating in a Naive Bayes spam filter.
Hypothesis Testing in Python
Practice hypothesis testing in Python by running chi-square and permutation tests to evaluate real-world outcomes and statistical significance.
Data Cleaning and Analysis in Python
Practice cleaning and preparing messy datasets in Python by aggregating, reshaping, and combining data for efficient, real-world analysis.
Advanced Data Cleaning in Python
Go beyond basic data cleaning by working with messy real-world datasets using advanced Python techniques like regex, lambdas, and list comprehensions.
Data Cleaning Project Walkthrough
Real datasets are messy. This project-based course walks through cleaning, combining, and preparing data in Python for analysis.
Data Analysis for Business in Python
Translate ambiguous business questions into measurable metrics and analyses, addressing churn, pricing, and customer behavior with Python.
Introduction to Statistics in Python
Practice core statistical techniques in Python to sample data, analyze variables, and visualize frequency distributions for real projects.
Intermediate Statistics in Python
Develop practical skills to summarize distributions, measure variability, and compare values using core statistical tools in Python.
Introduction to Probability in Python
Build a practical foundation in probability using Python, covering random experiments, core rules, and counting techniques used in data 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.