Best Business Analytics Online Courses for Students and Professionals

Data is transforming business, social interactions, and the future of our society. It is a treasure for people in all fields. To better describe it in the words of mathematician Clive Humby; “Data is the new oil.”

Data Analytics is at the heart of companies like Google, Amazon, and IBM. Analytics is changing the way decisions are made in business, sports, and even in our personal lives.

Together, we’ll explore a wide variety of inspiring online courses on business analytics or data analytics. These online courses will help you understand the meaning of business intelligence, how to make predictions using statistics and other numerical analysis, and how data is leveraged to better perform critical business functions. Moreover, these courses provide essential skills in analytics and data and give an edge to your career and your life.

Advanced Business Analytics Specialization (Coursera)

Are you ready to use advanced data analytics in your business to increase profit together with maximizing shareholders’ value? If so, then this specialization course offered by the University of Colorado Boulder is made for you. This comprehensive course based on data analytics in business will empower you on how to think about analytical problems in the real world.

Enhance your skills to use advanced Excel functions to summarize and analyze data. Apply the knowledge you gained in the real-life cases and problems.

You’ll explore key areas such as data manipulation in SQL, performing statistical analysis, and presenting results, and data capturing and data storage using both traditional and emergent technologies. You’ll also understand and recognize the type of events that happen in the world of Business and the tools available to solve various problems.


DurationApprox. 5 months
Key learningsData Visualization (DataViz), SQL, Data Cleansing, Predictive Modelling, Regression Analysis
Best forProfessional Development/Upskilling
EnrollmentUpon Subscription/7-day free trial/Finacial Aid

What I learned in this course has given me a strong foundation in all the areas that support analytics and has helped me to better position myself for success within any organization. l have developed skills and a perspective that will make me more productive, faster, and allow me to become a valuable asset to any organization.

Olanrewaju Babalola, Business Analyst, Nigeria

Business Analytics: Nanodegree Program by Udacity

A really excellent and detailed program on Business Analytics designed in collaborations with companies such as Mode which is an advanced cloud analytics platform and Data visualization software company-Tableau. Learn how to solve business problems using Descriptive Statistics and Business Metrics, analyze data, and build models using spreadsheets, querying databases using SQL, creating informative data visualizations with Tableau Software, and much more.

This three-month extensive program will guide you through the process of data analytics and open doors of opportunities for your career prospects. The program includes four projects which are as follows:

  1. Interpret a Data Visualization: Communicate insights from the data dashboard.
  2. Analyze NYSE Data: Analyze financial performance data and forecasting financial metrics using Excel.
  3. Query a Digital Music Store Database: Querying data from databases.
  4. Build Data Dashboards with Tableau: Build, discover, and communicate insights from a whole interactive dashboard using Tableau.

For anyone looking to broaden their skillset and explore how useful data can be, this is definitely worth checking out.


Duration3 Months. At 10 hrs/week
Key learningsData Analysis, Data Fundamentals, SQL, Excel, and Tableau, a wide range of business metrics to build a financial forecast.
Best forGraduates as a career starter
EnrollmentMonthly Payment/Pay as you go (Finacial Support available)

It was such a rewarding experience and I never thought that Excel, SQL, and Tableau could be so much fun!

Yuxiao Zhong, Mountain View, California, United States

The Business Intelligence Analyst Course 2020 (Udemy)

This is a 20+ hour course covering BI tools and software such as MySQL, Tableau, and Python to perform quantitative and qualitative business analysis. It teaches how to find trends and market conditions and then to create professional visualization through it.

This is a perfect course for freshers to start as a BI Analyst with a combination of statistics and data science.

The exercises and quizzes provided in the course will help you with the practical application of your learnings. The explanation is very easy to digest for anyone from any background because the course provides more practical examples than theories. Luckily, this course gives lifetime access so that you can relearn it in the future as well.

The primary hands-on experiences which you can expect from this certification are:

  • Gather, organize, analyze, and visualize data for solving business problems.
  • Present quantitative and qualitative information in the form of metrics, KPIs, reports, and dashboards.
  • Combine SQL, Python, and Tableau for solving real-world problems using different data analysis and visualization techniques.


Duration20 hours on-demand video content
Key learningsSQL, Tableau, Database theory, Statistics, Excel, quantitative and qualitative analysis, data visualization
Best forBeginners in programming and data science, SQL Programmers, Business Intelligence Analyst career

Never would I ever have imagined how much FUN I have writing queries, understanding databases, and working with data frames.

Martina Muellner, Greater Orlando

Business Analytics: From Data to Insights (Wharton Executive Education)

As the name suggests, getting more insights into handling Big Data & analyzing them to complement the right decision-making is a skillset that everyone needs to acquire in the fast-changing digital world. The Wharton Business School (known for its Analytics course), provides an outlook of how data mining is critical in determining the short term & long term strategic intervention for a given business in a VUCA environment. This course helps you familiarise with various analytical tools viz. descriptive, predictive & prescriptive analytics, through big datasets & live simulation models.

Know how to cut through the clutter of big data, identify what is meaningful, and provide the proper insights to guide a user to the next best action


Duration3 months, online at 6-8 hours per week
Key learningsDescriptive Analytics, Predictive Analytics, Prescriptive Analytics, A/B Testing, Correlation and Causation, Data Visualization and Interpretation, Optimization Models, etc
Best forManagers, top-level executives, and leaders

Can’t wait to integrate these new methodologies into our design process to elevate the data-driven user experiences we create.

Monica Marziani, User Experience Design and Strategy at Korn Ferry, Pennsylvania, United States

Business Analytics: Decision Making Using Data (University of Cambridge)

This Executive Education is designed for leaders across different functions who are interested to transform their organization into a data-driven ecosystem. You’ll get hands-on experience with advanced analytics tools like TensorFlow. You’ll learn how to make effective organizational decisions by collecting, analyzing, experimenting, and interpreting data. Moreover, you’ll also learn some legal and ethical issues involved in decision making using data.


Duration3 Months, Online at 4-6 hours per week
Key learningsDecision Biases, Descriptive Analytics, Big Data Opportunities, Predictive Analytics using Machine Learning and Neural Networks, Prescriptive Analytics, Ethics/Legal and Organisational Issues
Best forManagers, top-level executives, and leaders
PriceUSD 2,000

Insightful course, which gives a great foundation for those with an eye on that future and what it means for your business.

Tom Parker, Chief Executive at SECNewgate, Brussels Metropolitan Area

Business Analytics For Strategic Decisions (NUS Business School)

The speed of digital transformation, use of AI, the pace of automation, and acceleration of industry 4.0, has come faster than what most CEO and CTO have been planning for. With this course, you’ll be able to develop a strategic advantage and a competitive edge in the market while considering all these changes.

This course will give you an excellent explanation of how big data technologies helps many companies innovating their businesses nowadays. Additionally, the course also unfolds the importance of assessing data into good use, visualizing data to help the stakeholders to understand the current conditions, forecast and predict business outcomes, and optimize the models to increase business outcomes.

Through networking with the course mates and cross-learning from one another, you’ll understand how big data analytics can help and improve decision making vs intuitive and rule of thumb.

Strengthen your understanding as a business leader and support your organizational transformation in this area.

What you can expect after completing this program:

  • able to bridge the gap between C-level management and analytics team.
  • build team capabilities to effectively harvest and use a huge volume of data in SAP and CRM systems.
  • Effectively work with leaders and teams as enablers on the transformation roadmap.

Key takeaways:

  • A better understanding of the analytics.
  • What are the potential AI risks.
  • Whether causal analytics are more reliable than predictive analytics
  • How is data privacy critical.


Duration2 Months, Online (4-6 hours per week)
Key learningsBusiness Forecasting, Causal Analytics, Big Data applications, Privacy issues in the data economy
Best forManagers, top-level executives, and leaders
PriceUS$ 1,400

During the course, I had the opportunity to network with some of the brightest course mates and experienced NUS Business School faculty. While the course has ended, my journey towards digital transformation has accelerated.

Felix KOH, SVP & Global Business Unit Head, Asia Pulp & Paper, Jakarta, Indonesia

Excel Skills for Business Specialization (Coursera)

Offered by: Macquarie University

MS Excel is one of the most fundamental digital skills in Business Analytics. It is the skill that every employer expects a candidate to have. Excel is also a powerful tool in automating and accelerating up workflows, thus improving efficiency in daily data management. If you don’t know anything about how to use Excel for analyzing data, this is a great opportunity to really tap into knowledge.

You’ll start from the basics such as how to deal with text data on Excel, how to use conditional functions, how to efficiently use pivot tables among other skills.

For a beginner, this course is very handy since it covers every fundamental of Excel and frequently-used functions and tools in a clear and precise manner.

Additionally, the focus of this program will be on creating charts for data visualization, Data Validation, What-If analysis (Goal Seek, Scenario Manager, and Data Table), and Solver.

The instructors are amazing at providing the necessary material and making the complex ones easier to be understood. They’ll get you through all the courses (that ended at the advanced level)

In the end, you’ll be able to build a professional dashboard in MS Excel, that summarizes the data from other worksheets to show a company’s performance in a single sheet and can be easily accessed by other teams or the management.


DurationApprox. 6 months
Key learningsMicrosoft Excel, Data Validation, Pivot Table, Concatenation, Microsoft Excel Vba, Consolization, Lookup Table
Best forEveryone regardless of their background
PriceUpon Subscription/7-day free trial/Finacial Aid

Comprehensive, well-structured, and excellently-presented course. […] provides concrete, easy-to-understand examples of how Excel can be applied in various business scenarios. I’m excited to put skills I’ve gained throughout this specialization into daily practice.

Yash Banode, Mtech, Nagpur, Maharashtra, India

Excel to MySQL: Analytic Techniques for Business Specialization (Coursera)

This specialization by Duke University gives you detailed theoretical and practical insights into the role of a business analyst. The course teaches how as an analyst you need analytical skills as well as other skills such as presentation and communications. You’ll learn how to formulate data questions, explore and visualize large datasets, and inform strategic decisions.

The course tested learner’s curiosity to the limit and stimulated the desire to learn more because it is all about how to store and retrieve the data according to business requirements.

You’ll use strategic data analytic tools and methods such as Excel, Tableau, and MySQL to analyze data, creating forecasting models, design visualizations, and finally, the manner to communicate your insights.

In the Capstone Course, you will be assigned to predict the Short-term Rental Prices of 244 Properties from the Long-term Rental Prices due to change in the Industry for the services like Airbnb. From making Query in SQL to analyze and predict in Excel and then visualize and present with Tableau, it will definitely be a great experience for you.

Key takeaways:

  • Learn the basics of data modeling and regression analysis in a business context.
  • Gain the knowledge and skills required to drive business process change by leveraging data into valuable insights.
  • Prof. Daniel Egger and Jana Schaich Borg managed to make technical and statistical data analysis aspects easily understandable and yet proficiently leverageable
  • All the materials are well-organized and easy to follow.


DurationApprox. 7 months
Key learningsTableau, SQL, Microsoft Excel, Linear Regression, Data Visualization, Visualization (Computer Graphics),
Best forAnyone who is willing to dive deeper into data analytics and want to learn the basics of data modeling and regression analysis in a business context.
PriceUpon Subscription/7-day free trial/Finacial Aid

The perfect base to start and explore data analysis or business analytics as a career option.

Puru Mangwani, B.Sc.Economics, Indore, Madhya Pradesh, India

Statistics for Business Analytics and Data Science A-Z™ (Udemy)

The course is designed in such a way to provide a great stepping stone for someone interested in analytics, data science, and machine learning with no statistical background. It contains 6 hours of video content covering the core concepts of Statistics such as different types of Hypothesis Testing, central limit theorem, and distributions.

Kirill Eremenko, the course instructor has done a great job. He simply knows how to explain complicated things thoroughly. Especially helpful are the many examples, he provides which made all the learnings into practice.

Also very useful as a backup of the “Statistics for Dummies” by Deborah Rumsey. When something from the course is not clear, this book will provide you with a deep and simple explanation of every topic.


Duration6 hours of on-demand video content
Key learningsNormal Distribution, Central Limit Theorem, Hypothesis Testing, confidence intervals, standard deviations, the sampling distribution
Best forAnyone wants to master basic statistics for business analytics.

Extremely well structured for someone who is trying to venture into the world of Statistics, and even for someone like me, who has completed her UG in Statistics, to brush off a few topics.

Shreya Ganguly, Business Analyst at Tenon FM UK

FAQs on Business Analytics

What is a business analytics course?

In general, a business analytics course teaches you how to derive insights from existing or past data to make effective business decisions. Throughout the course, you’ll work on analyzing complex data sets using various statistical techniques such as predictive and prescriptive analysis. Furthermore, business analytics or data analytics help you understand the relationship between variables if it is dependent or independent and up to what degree.

How can I learn business analytics?

To learn business analytics, there are a bunch of courses available on the internet, that can help you in providing from basic understanding to in-depth experience. Most courses require you to have prior knowledge of basic maths and statistics and excitement about learning analytics.

What is the difference between Business Intelligence and Business Analytics?

These two terms are often used interchangeably. But the truth is Business Analytics is extracted from Business Intelligence and is a subset of it. Business Analytics uses statistics to predict and optimize future outcomes whereas Business Intelligence uses heavy technologies to make operational and long-term strategic business decisions.

Which is the best online course for business analytics or data analytics?

If you’re just getting started and want to get some idea of this field, then this course, Business Analysis Fundamentals by Jeremy Aschenbrenner is a perfect start for you as you’ll get a foundational knowledge of core business analytics principles.