business analytics course

Top 10 Online Business Analytics Courses

The process of analyzing data using statistical methods and software is referred to as business analytics. Data mining, predictive analytics, and statistical analysis were among the primary methods used to change and present data in order to improve decision-making. Businesses now have access to more data than ever before, which is why business analytics is a rapidly expanding industry. Modern business analytics software tools enable users with little to no technical knowledge to experiment with technologies that can automate a large portion of the process.
With this in mind, we’ve produced a list of the best business analytics credentials available from reputable colleges and major online professional education platforms. The certifications offered to provide students with the necessary training to improve their talents and grow their jobs. This is not an exhaustive list, but it does include the greatest online business analytics certificates from reputable organizations.

List of Top 10 Online Business Analytics Courses

1. Business Analytics Specialization (Coursera)

This Specialization introduces all business professionals, even those with no prior analytics knowledge, to big data analytics. You’ll discover how data analysts explain, anticipate, and guide business decisions in the fields of marketing, human resources, finance, and operations, as well as how to build basic data literacy and an analytic mentality that can aid you in making strategic data-driven decisions. You’ll use your skills to interpret a real-world data collection and make suitable business strategy suggestions in the Capstone Project.

What you will learn – 

  • Explain how data is used for recruiting and performance evaluation.
  • Model supply and demand for various business scenarios.
  • Solve business problems with data-driven decision-making.
  • Understand the tools used to predict customer behavior.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

Beginner Level (No prior experience required).

Duration – 6 months (3 hours/week)

Instructor – Eric Bradlow, Peter Fader, Raghu Iyengar, Ron Berman, Senthil Veeraraghavan, Sergei Savin, Noah Gans, Cade Massey, Martine Haas, Matthew Bidwell, Brian J Bushee & Christopher D. Ittner.

2. Business Analytics Foundations (Edx)

Business analytics is a rapidly expanding field that studies how to better comprehend data within a business in order to make better decisions. Analytics expertise enables businesses to examine the data they have and the data they need to determine their business’s health and future. This curriculum can help you obtain knowledge of descriptive statistics, hypothesis tests, confidence intervals, and linear regression, which are all necessary basic skills for success in business analytics.
This curriculum teaches the fundamental skills required for a career in business and data analysis, such as scripting languages and data analysis for real-world challenges. Learners will be able to use Python to automate processes and solve problems using statistical methods after completing this course.
This training is for anyone who wants to use data to help them make better business decisions, regardless of their background. This program will give the core skills necessary for your success, whether you’ve dealt with data in your present profession or are interested in the growing field of business analytics.

What you will learn – 

  • Develop fully functional programs using industry-relevant tools.
  • Translate business requirements into problems that can be solved computationally.
  • Formulate questions to be solved through statistical analysis.
  • Analyze data using statistical methods.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 8 months (8-10 hours per week)

Instructor – Gwen Britton, Curtis George, David Sze & Ben Tasker

3. Apply Fundamental Data Analysis to Real Business Problems (Harvard Business School)

Business Analytics will assist you to decode data and improve your analytical abilities. You’ll utilize Excel to execute analytical approaches and apply fundamental quantitative methods to real-world business challenges, from running A/B testing on a website to employing sampling to verify warehouse inventory.

What you will learn – 

  • Interpret data to inform business decisions.
  • Recognize trends, detect outliers, and summarize data sets.
  • Analyze relationships between variables.
  • Develop and test hypotheses.
  • Craft sound survey questions and draw conclusions from population samples.
  • Implement regression analysis and other analytical techniques in Excel.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – Self paced

4. Applied Business Analytics (MIT)

Business leaders can make better judgments because of the wealth of data available. The problem is that most business professionals aren’t familiar with evaluating data from many sources. How can we use data to make the best decision possible? How do we recognize when it’s appropriate to use our human judgment in the decision-making process? What are some of the artificial intelligence’s most useful applications?
You’ll study a practical foundation for using data to improve decision-making in the Applied Business Analytics program, which encompasses data, models, decisions, and value.
After completing Applied Business Analytics, you will be able to choose which analytics strategy is best for your case, as well as how to deal with massive data and harness it for improved business outcomes.

What you will learn – 

  • Making Predictions Using Data.
  • Tools and Frameworks to Build Predictive Models.
  • Using Business Analytics to Interpret & Analyze Data.
  • Customer Analytics: Using Analytics to Serve Customers Better.
  • Understanding Machine Learning and its Business Applications.
  • Managerial Decision-making with Business Analytics.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

  • President/CEO.
  • Chief Financial Officer.
  • Chief Technology Officer.
  • Chief Learning Officer.
  • Chief Strategy Officer.
  • Chief Operating Officer.
  • Chief Solutions Officer.
  • Managing Partner.

Duration – 6 weeks (4-6 hours per week)

Instructor – Dimitris Bertsimas

5. Business Analytics for Leaders (Berkeley ExecEd)

Analytics is vital to tomorrow’s success, as today’s business leaders understand. Others are behind the curve, having yet to discover how data-driven decisions offer stronger business arguments and greater agility.
Business professionals across all industries, including those with no prior coding or advanced analytics skills, are recognizing the need to improve their data fluency and understand how essential technologies like AI interact with data analytics. You’ll learn how data-driven decisions create better business justifications and increased agility in this program, which includes hands-on exercises, live discussions, and real-world case studies.

What you will learn – 

  • Introduction to Business Analytics and AI.
  • Descriptive Analytics: Accessing, Transforming, and Visualizing Data.
  • Predictive Analytics: Supervised Learning for Business.
  • Descriptive Analytics: Unsupervised Learning for Business.
  • Prescriptive Analytics: Reinforcement Learning for Business.
  • Prescriptive Analytics: Experimentation.
  • The Future of Big Data and AI.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

  • Project Manager.
  • Sales Manager.
  • Finance Manager.
  • Operations Manager.
  • Product Manager.
  • Marketing Manager.
  • Director of Product Marketing.
  • Director of Engineering.
  • Director Strategic Products and Services.
  • Investment Directors.
  • Executive Directors.

Duration – 2 months (4–6 hours per week)

Instructor – Frederico Finan

6. Introduction to Business Analytics (Udemy)

When can we declare that a company is profitable?
What methods do companies employ to keep track of their performance
What makes an analytics project successful?
If you’re intrigued by these issues and want to learn more about business analytics, you’ve come to the perfect spot.
This course is a priceless journey through which we will establish the groundwork for your exceptional business analytics abilities. You’ll begin to build skills that are essential in any type of business setting, but more so while working for a huge blue-chip organization that runs a sophisticated operation.

What you will learn – 

  • Acquire business acumen.
  • Build a strategic plan of how your business (or your employer’s business) can leverage data for superior performance.
  • Be able to understand how to measure business performance.
  • Learn from a professional with a proven track record and valuable experience.
  • Become familiar with modern business analytics techniques.
  • Understand stakeholder mapping.
  • Learn about end-to-end process mapping.
  • Develop an understanding of the H2R, R2R, S2P , O2C end-to-end processes in a corporation.
  • Identify key value drivers.
  • Compare metrics vs KPIs.
  • Define metrics.
  • Perform benchmarking.
  • Learn about the importance of the Master Data function.
  • Carry out historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis.
  • Acquire an understanding of how to manage an analytics project.
  • Gain an understanding of what makes for a successful analytics project.

Pre-requirements – 

No prior experience is required. We will start from the very basics.

Who can take this course – 

  • People who want a successful career in Business.
  • Business executives.
  • Ambitious managers.
  • Individuals who want to start their own company, but have not had the necessary business training.
  • Business intelligence analysts.
  • Financial analysts.
  • Anyone who wants to understand how to measure business performance.

Duration – 5 hours

Instructor – 365 Careers

7. Business Analytics Free Online Course with Certification (Upgrad)

Are you interested in learning how to become a business analyst in India? What if you could learn business analytics for free and pursue a career in this field? It is now possible to learn business analytics online for free thanks to the new upStart initiative. Simply go to our upStart page, choose the course you wish to take, and register.
You’ll discover the advantages of mastering business analytics, how this course may help you master this talent, and what it entails in this article. Let’s get started.

What you will learn – 

  • Jargon Busting.
  • Understanding the Business Problem and Formulating Hypothesis.
  • Anatomy of Decisions.
  • Data Analysis in Excel.
  • Analyzing Patterns and Storytelling.
  • EDA (Excel).

Pre-requirements –  

No prerequisites are needed.

Who can take this course – 

This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts.

Duration – Self paced

8. Business Analytics (Udacity)

You’ll study core data skills that may be applied across functions and industries in this program. You’ll learn how to use Excel to analyze data and build models, SQL to query databases, and Tableau to generate useful data visualizations.

What you will learn – 

  • Introduction to Data.
  • SQL for Data Analysis.
  • Data Visualization.

Pre-requirements – 

No prerequisites are needed.

Who can take this course – 

This course is open to anyone who wants to learn more and make better use of their time.

Duration – 3 Months (10 hrs/week)

Instructor – Josh Bernhard, Dana Sheahan, Mat Leonard, Derek Steer & Sam Nelson.

9. Business Analytics Specialization (Wharton University)

Wharton’s online Business Analytics Specialization gives managers and leaders the skills they need to stand apart. Learn how to leverage data into a competitive edge for your company, and learn useful skills in the process that will help you advance in your career.
All business professionals, including those with no prior analytics knowledge, can benefit from the Business Analytics online program, which gives an introduction to big data analytics. You’ll discover how data analysts explain, anticipate, and guide business decisions in the fields of marketing, human resources, finance, and operations, as well as how to establish basic data literacy and an analytic mentality to aid strategic decision-making.

What you will learn – 

  • Take full advantage of analytics to create effective data-driven business decisions.
  • Model future demand uncertainties and predict outcomes of competing policy choices.
  • Use hard data to make soft-skill decisions about hiring and talent development.
  • Analyze financial data to forecast events, optimize operations, and determine strategy.
  • Devise a plan of action for collecting, interpreting, and optimizing data.

Pre-requirements –

No prerequisites are needed.

Who can take this course –

This course is open to anyone who wants to learn more and make better use of their time. 

Duration – 4 weeks per course & 2-3 hours per week

10. Business Analytics Certification Course with Excel (SimpliLearn)

Take this Business Analytics course, which incorporates Power BI training, to boost your analytics profession with strong new Microsoft® Excel abilities. These two widely used technologies, when combined with formal business analytics certification, will set you on the road to a prosperous career.
This Business Analytics certification course will teach you the fundamentals of data analysis and statistics in order to assist you in making data-driven decisions. This course introduces you to Power BI and digs into statistical ideas that can assist you in extracting insights from accessible data and presenting your findings using executive-level dashboards.

What you will learn – 

  • Introduction to Business Analytics.
  • Formatting Conditional Formatting and Important Functions.
  • Analyzing Data with Pivot Tables.
  • Dashboarding.
  • Business Analytics With Excel.
  • Data Analysis Using Statistics.
  • Power BI.

Pre-requirements –

There are no prerequisites for this Business Analytics certification training other than an analytical mindset. However, the participants should have a basic knowledge of working with Microsoft Excel.

Who can take this course – 

This Business Analytics certification course is beneficial for IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.

Duration –  12 hours

Instructor – Ronald van Loon.


Conclusion –

So there you have it: the top 10 online business analytics courses. Hope you were able to locate what you were looking for. You can also browse our site for further digital marketing and learning-related articles and tips. Wish you happy learning!

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