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11 Best Business Analytics Certification Courses online & Training 20249 min read

Are you looking for Best Business Analytics Courses and Programs? Here are the Best Business Analytics Certification Courses online for Marketing through which you will get all the necessary tips, tools & strategies to run, scale up and grow your business. 

Check out the Best Data Analytics Certification and Best Google Analytics Certification Training Online Courses to learn more specific analytics knowledge.

We have selected the majority of the courses based on the top reviews, ratings, and recent demands, here are the Best Business Analytics Courses Online which include the ‘Best Course,’ ‘Product Description,’ ‘Ratings,’ ‘Students Enrolled’ as well as ‘Product’s Image’ and a “Call to Action” to purchase the Courses from the respective learning platforms for your learning convenience.

11 Best Business Analytics Certification Online & Automation Courses for Marketing 2024 

1. Business Analytics Specialization (Coursera)

Make Data-Driven Business Decisions. Achieve fluency in business data strategies in four discipline-specific courses.


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


  1. Customer Analytics
  2. Analytics
  3. Business Analytics
  4. Decision Tree
  5. Predictive Analytics
  6. Regression Analysis
  7. Marketing Performance Measurement and Management
  8. Simulation
  9. Mathematical Optimization
  10. Solver
  11. Talent Management
  12. Performance Management

Created by: The University of Pennsylvania

Students Enrolled: 179.0 K +

Instructors: Eric Bradlow +12 more Instructors

Rating: 4.6 out of 5.0

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2. Introduction to Digital Advertising (Coursera)

Description: Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real-world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders.

You Will Learn:

  • Introduction to Data Analytics for Business.
  • Predictive Modeling and Analytics.
  • Business Analytics for Decision Making.
  • Communicating Business Analytics Results.

Skills you will gain:

  • Data Analysis.
  • Data Visualization (DataViz).
  • Mathematical Optimization.
  • SQL.
  • Data Model.
  • Data Quality.
  • Regression Analysis.
  • Data Cleansing.
  • Predictive Modelling.
  • Exploratory Data Analysis.
  • Simulation.
  • Business Analytics.

Created by: University of Colorado Boulder

Students Enrolled: 32.2K +


  • David Torgerson, Instructor
  • Dan Zhang, Professor, Leeds School of Business
  • Manuel Laguna, Professor, Leeds School of Business

Rating: 4.5 out of 5.0

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3. Data Analysis and Presentation Skills: the PwC Approach Specialization (Coursera)

Description: Make Smarter Business Decisions with Data Analysis. Understand data, apply data analytics tools, and create effective business intelligence presentations.

This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes.

You Will Learn:

  • Data-driven Decision Making.
  • Problem-Solving with Excel.
  • Data Visualization with Advanced Excel.
  • Effective Business Presentations with Powerpoint.
  • Data Analysis and Presentation Skills: The PwC Approach Final Project.

Skills you will gain:

  • Data Analysis.
  • Microsoft Excel.
  • Data Visualization (DataViz).
  • presentation.
  • Data-Informed Decision-Making.
  • Big Data.
  • Pivot Table.
  • Data Cleansing.
  • Dashboard (Business).
  • Data Virtualization.
  • Communication
  • Presentation Design.

Created by: PwC

Students Enrolled: 155.4K +

Instructor: Alex Mannella

Rating: 4.7 out of 5.0

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4. Case studies in business analytics with ACCENTURE (Coursera)

Description: Unveil Critical Insights. Start making efficient, profitable, data-driven business decisions.

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

You will learn:

  • Foundations of strategic business analytics.
  • Foundations of marketing analytics.
  • Case studies in business analytics with Accenture.
  • Capstone: create value from open data.

Skills you will gain:

  • R Programming.
  • Marketing Analytics.
  • Presentation.
  • Marketing Performance Measurement and Management.
  • Data Analysis.
  • Business Analytics.
  • Market Segmentation.
  • Customer Lifetime Value.


  • Nicolas Glady, Associate professor, at ESSEC Business School, Marketing Department
  • Arnaud De Bruyn, Professor at ESSEC Business School, the Marketing department

Created by: ESSEC Business School

Students Enrolled: 26.3K +

Rating: 3.7 out of 5

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

Description: Turn Data into Value. Drive business process change by identifying & analyzing key metrics in 4 industry-relevant courses.

Turn Data into Value. Drive business process change by identifying & analyzing key metrics in 4 industry-relevant courses. This will help you to become certified analytics professional.

There is the 5 best Online business analytics certification included in this specialization:

  • Business Metrics for Data-Driven Companies.
  • Mastering Data Analysis in Excel.
  • Data Visualization and Communication with Tableau.
  • Managing Big Data with MySQL.
  • Increasing Real Estate Management Profits: Harnessing Data Analytics.

Skills you will gain:

  • Binary Classification.
  • Data Analysis.
  • Tableau Software.
  • SqL.
  • Business Analysis.
  • Business Analytics.
  • Business Process.
  • Microsoft Excel.
  • Linear Regression.
  • Data Visualization (DataViz).
  • Visualization (Computer Graphics).


1. Daniel Egger, Executive in Residence & Director, Center for  Qualitative Modeling, Pratt School of Engineering, Duke University.

2. Jana Schaich Borg, Assitant Research Professor, Social Science Research Institute.

Offered by: Duke University

Students Enrolled: 215.7K +

Rating: 4.6 out of 5

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6. R Programming: Advanced Analytics In R For Data Science



Take Your R & R Studio Skills to The Next Level. Data Analytics, Data Science, Statistical Analysis in Business, GGPlot2.

What you will learn:

  • Perform Data Preparation in R.
  • Identify missing records in data frames.
  • Locate missing data in your data frames.
  • Apply the Median Imputation method to replace missing records.
  • Apply the Factual Analysis method to replace missing records.
  • Know how to reset the data frame index.
  • Explain why NA is a third type of logical constant.
  • Deal with date-times in R.
  • Convert date-times into POSIXct time format.
  • Create, use, append, modify, rename, access, and subset Lists in R.
  • Create a time-series plot in R.
  • Understand how the Apply family of functions works.
  • Add your functions into apply statements.


  • Basic knowledge of R.
  • Knowledge of the GGPlot2 package is recommended.
  • Knowledge of data frames.
  • Knowledge of vectors and vectorized operations.

Students Enrolled: 60.6K+

Instructor: Kirill Eremenko, SuperDataScience Team

Rating: 4.6 out of 5.0

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7. SQL for NEWBS: Weekender Crash Course (Udmey)

Using MySQL but applicable to Oracle SQL, Microsoft SQL Server, and PostgreSQL. Taught by a Data Scientist and PM.

If you have no technical background, don’t be afraid! Course Instructors have distilled their knowledge and experience using SQL into a short course so that by the end, you’ll have the raw skills to do some real data analysis for your company using SQL.

You will learn

  • Analyze user behavior.
  • Find actionable customer/business insights.
  • Make data-driven decisions.
  • Measure and track marketing efforts.
  • Discover sexy marketing stats.

Requirements: No previous technical knowledge is required. 

Who this course is for:

  • Marketers.
  • Startup folks.
  • Non-technical folks.
  • Aspiring Data Analysts.
  • Recent College Grads.
  • Job-seekers.
  • Product Managers.

Students Enrolled: 72.6K+

Instructor: David Kim, Peter Sefton

Ratings: 4.2 out of 5.0

Enroll Now

8. Google Analytics Certification – Get Certified & Earn More



Become Google Analytics Certified to Land a Job, Get Promoted, or Start a New Career in Digital Marketing! 2024 Guide.

What you will learn:

  • Pass the official google analytics certification exam for the first time!
  • Access tons of practice questions to see what you got right/wrong and why.
  • Get certified in one day – not weeks of study.
  • Use two methods to promote your certification and get hired.


  • This course will get you certified in 24 hours!
  • You’ll get a refresh of all you need to know in under 2 hours

Who this course is for:

  • Busy people who want to become certified in the shortest time possible.
  • Marketers who want to increase their earning potential and career prospects.
  • Freelancers looking to attract more leads and more sales.
  • Website owners who want to learn google analytics as quickly and effectively as possible.
  • Agencies who want to train up staff members quickly.

Students Enrolled: 110.5K +

Instructor: Daragh Walsh

Ratings: 4.3 out of 5.0

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9. R Programming A-Z™: R For Data Science With Real Exercises! (Udmey)


Learn Programming in R and R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2.

What you will learn:

  • program in R at a good level.
  • How to use R Studio.
  • The core principles of programming.
  • Creating vectors in R.
  • Creating variables.
  • About integer, double, logical, character, and other types in R.
  • Creating a while () loop and a for () loop in R.
  • Building and using matrices in R.
  • The matrix () function, learn rbind () and cbind ().
  • Install packages in R.
  • Customizing R studio to suit your preferences.
  • Understanding the Law of Large Numbers.
  • Understanding the Normal distribution.
  • Practice working with statistical data in R.
  • Practice working with financial data in R.
  • Practice working with sports data in R.

Requirements: No prior knowledge or experience is needed. Only a passion is needed to be successful!

Students Enrolled: 264.5K+

Instructors: Kirill Eremenko, SuperDataScience Team

Ratings: 4.6 out of 5.0

Enroll Now

10. Business Analysis Fundamentals – ECBA, CCBA, CBAP endorsed (Udmey)


Set yourself up for success, and learn the key business analysis concepts to thrive in your Business Analyst career.

You will learn:

  • Business Analysis basics.
  • How to properly initiate a project by creating a business case.
  • Gain an overview of various modeling diagrams.
  • Have the confidence to successfully facilitate requirements.
  • A breakdown of six project methodologies.
  • Understanding the basics of project requirements and six of the popular techniques.
  • Conduct requirement specification.

Requirements: This course covers all of the fundamentals – no prior knowledge is required.

Who this course is for:

  • Aspiring Business Analysts.
  • New Business Analysts.
  • Other positions that are performing business analysis duties.
  • Those going for their ECBA certification.

Students Enrolled: 197.3K +

Instructor: The BA Guide, Jeremy Aschenbrenner

Ratings: 4.5 out of 5.0

Enroll Now

11. Statistics for Data Science and Business Analysis (Udemy)


Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis.

You will learn:

  • Understanding the fundamentals of statistics.
  • How to work with different types of data.
  • How to plot different types of data.
  • Calculating the measures of central tendency, asymmetry, and variability.
  • Calculating correlation and covariance.
  • Distinguish and work with different types of distributions.
  • Estimating confidence intervals.
  • Performing hypothesis testing.
  • Making data-driven decisions.
  • Understanding the mechanics of regression analysis.

Requirements: No experience is required. A willingness to learn and practice.

Who this course is for:

  • Who wants a career in Data Science.
  • Who wants a career in Business Intelligence.
  • Business analysts.
  • Business executives.
  • Who, are passionate about numbers and quant analysis.
  • Who wants to learn the subtleties of Statistics.
  • Who wants to start learning statistics.
  • Who wants to learn the fundamentals of statistics.

Students Enrolled: 192.4K+

Instructor: 365 Careers

Ratings: 4.6 out of 5.0

Enroll Now

We hope that the list of Best Business Analytics Certification Courses Online 2024 will help you to understand the basics and some of the analytics tools and uses to move forward with your business while being confident. Also, you will get the best tips, tricks, and tools to leverage your online business with these Best Business Analytics Courses Online. Happy learning and stay ahead in your business.

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