Free Business Analytics Course

Business Analytics for Beginners

star 4.44  Beginner level 3.0 learning hrs 18.7K+ Learners

Learn business analytics fundamentals, including Excel, Tableau, Orange, descriptive analytics, predictive models, and pricing analytics. Join this free business analytics course to turn data into smarter business decisions.

Key Highlights

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About this course

This free online business analysis course helps you build a practical foundation in using data to support business decisions. You will learn how analytics works across descriptive, predictive, and prescriptive use cases, along with how tools like Excel, Tableau, and Orange support analysis, visualization, and no-code machine learning workflows. The course also introduces pricing analytics, helping you understand how demand, pricing scenarios, and business data connect to better decision-making.


By the end of the free business analyst course, you will be able to organize raw data, create useful summaries and visuals, work with basic predictive methods such as regression, classification, time series, and neural networks, and use analytics tools to solve practical business problems. These skills help you turn data into clearer insights, support pricing and planning decisions, and provide a strong foundation for business analytics, data analytics, or management roles.

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Course outline

Analysis using different Tools

In this module, you'll use Excel for data analysis and Tableau for visualization, helping you extract insights and make informed business decisions.



Getting Started with Orange Tool

In this module, you'll use Orange, a no-code, visual tool to build analysis workflows and explore datasets, ideal for learning machine learning without writing any code.

Introduction to Predictive Analytics

In this module, you'll learn how companies use past data to predict what comes next, with practical exposure to regression models and time series forecasting along the way.

Introduction to Prescriptive Analytics

Predictive Analytics Types

In this module, you'll break down three core predictive methods, classification, time series, and Neural Networks, and get to apply each one directly inside the Orange tool.



Pricing Analytics

In this module, you'll use Excel to study how demand shifts with price, run through different scenarios, and zero in on a pricing strategy that actually works for your product.

Understanding Descriptive Analytics

In this module, you'll learn how to take raw, unorganized data and turn it into something useful, through summary statistics and visuals built around real business datasets.

Get access to the complete curriculum once you enroll in the course

Business Analytics for Beginners

rating icon 4.44

3.0 Hours

Beginner

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18.7K+ learners enrolled so far

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Learner reviews of the Free Courses

4.44
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23%
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3%
Reviewer Profile

4.0

Country Flag India
“In-depth Explanation of the Topics”
The instructor did an excellent job of explaining each topic in great depth, making sure that all the important aspects were covered thoroughly. The syllabus was well-designed and comprehensive, ensuring that all necessary topics were included. Moreover, the quizzes were thoughtfully crafted and effectively reinforced the material covered in the lectures, helping to solidify the students' understanding. Overall, it was a highly educational and rewarding experience.
Reviewer Profile

5.0

Country Flag India
“Introduction to Business Analytics: An Insightful Learning Experience for Freshers”
The detailing of tools and their usage was highly helpful in understanding the concepts. The assignment part was comparatively easy for me to attend, having understood the basics in videos. It was a great learning experience. I would prefer to learn more about business analytics in the future. This platform is highly recommended for beginners.
Reviewer Profile

5.0

Country Flag India
“Process of Data Analytics in Different Tools and Methods”
Very simple and good to understand the process of data analytics. The use of Excel in data analytics provides helpful insights to solve problems in a company.
Reviewer Profile

5.0

Country Flag India
“This Course Increased My Interest in Business Analysis”
I liked the way it was taught. It made me feel like I wanted to learn more about it and was very simple and easy to understand.
Reviewer Profile

4.0

Country Flag India
“Best Lecture on Business Analytics That I Have Attended”
Best lecture on Business Analytics that I have attended, giving more knowledge to the students.
Reviewer Profile

5.0

Country Flag India
“Very Nicely Explained by the Instructor and Easily Understood Each Concept”
Very well explained by the mentor, and each and every point was understood very well.
Reviewer Profile

5.0

Country Flag India
“Good Classes and Quizzes Made It Easy to Understand”
Good classes and quizzes made it easy to understand and crisp.
Reviewer Profile

5.0

Country Flag India
“It Was a Good Experience and I Loved Learning”
Everything I learned in this class is really helpful and I learned everything.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

What will I learn in this free business analytics course?

The free business analysis course covers Excel for data analysis, Tableau for visualization, Orange for no-code workflows, predictive analytics, pricing analytics, and descriptive analytics. You learn how to turn raw data into insights that support better business decisions.

Who should take a business analyst course for free?

This course works well for beginners, students, early-career professionals, and anyone who wants to understand how data supports business decisions.

How long does a free business analysis course take to complete?

This free business analyst course includes 3.0 hours of learning. It gives learners a short, structured way to understand business analytics tools and methods without a long study schedule.

What skills will I gain if I learn business analytics free?

You will gain the following skills in this course:

  • Introduction to Predictive and Prescriptive Analysis

  • Starting with Orange Tool


What topics are covered in a free business analyst training program?

You will learn the following modules in this course:

  • Analysis using different Tools

  • Getting Started with Orange Tool

  • Introduction to Predictive Analytics

  • Introduction to Prescriptive Analytics

  • Predictive Analytics Types

  • Pricing Analytics

  • Understanding Descriptive Analytics.


How does a free business analytics course help in real work?

The business analyst course helps you use data to study trends, build summaries, create visuals, forecast outcomes, compare pricing scenarios, and support practical business decisions across teams.

Will I learn tools like Excel, Tableau, and Orange?

The free business analyst training course includes Excel for analysis, Tableau for visualization, and Orange for no-code analytics workflows. These tools help learners work with data, create visuals, and apply basic machine learning methods without heavy coding.

Does a free online business analysis course include predictive analytics?

The free business analyst course includes predictive analytics topics such as regression, time series, classification, and neural networks. These methods help you understand how businesses use past data to predict future outcomes.

Is a free business analysis course for beginners useful before learning advanced analytics?

A business analytics free online course gives you a practical starting point in data analysis, visualization, predictive methods, and pricing analytics. It helps you build the foundation needed before moving into advanced topics in business analytics, data analytics, or business intelligence.

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