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.
What you'll learn
Introduction to Predictive and Prescriptive Analysis
Starting with Orange Tool
Syllabus 7
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.
Advantages and disadvantages
Advantages
Free, short, with a free certificate.
Made in India, with examples Indian students will recognise.
Free certificate when you finish.
Completely free.
Self-paced: start any time.
A clear syllabus (7 parts) you can see before you start.
Disadvantages
Introductory; the certificate carries little weight with employers.
Expect follow-up calls and emails about paid programs.
Some points apply to every course of this kind; see how we rank.
Free, with a free certificate
Free: Sign up with your email or phone to watch.
Certificate: Free when you finish the videos and quiz.
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