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Data Science for Business Analytics and Intelligence 2026
Rating: 3.9 out of 5(38 ratings)
734 students

Data Science for Business Analytics and Intelligence 2026

Use Google Analytics data to discover ways to unlock valuable business insights.
Created byThe Click Reader
Last updated 12/2025
English

What you'll learn

  • Learn how to optimize and clean a real-world business dataset collected using Google Analytics.
  • Learn how to analyze customer data for data-driven decision making.
  • Learn different data pre-processing steps for Machine Learning.
  • Learn how to apply a 6-stage Machine Learning workflow for predicting revenue.

Course content

3 sections • 8 lectures • 59m total length

  • Welcome to the course!1:04

    Hi everyone! I'm Pragyan, a data scientist at The Click Reader and welcome to this course on Data Science for Business Analytics and Intelligence.


  • Overview of the learning methodology1:41

    Learn about the learning methodology we will be following in this course.

Requirements

  • Basic understanding of Python.
  • Basic understanding of Machine Learning.

Description

Learn how to apply business analytics and intelligence on the business data collected using Google Analytics in this hands-on course called 'Data Science for Business Analytics and Intelligence', created by The Click Reader.

In this course, you will learn how to understand and optimize customer datasets collected using Google Analytics. You will also learn how to perform revenue analysis on the datasets for insights on sales and profits of your business.

Next, you will take the insights gained from revenue analysis to pre-process the data and apply Machine Learning in order to predict the revenue. As a part of this course, you will be using LightGBM (Light Gradient Boosting Machine) to model the data.

The course contains hands-on exercises at the end of each lecture and the knowledge you gain through this course can be extended to any other domain of business.

Why you should take this course?

  • Updated 2026 course content: All our course content is updated as per the latest technologies and tools available in the market

  • Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide rather than just sticking to the theory.

  • Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries.

Who this course is for:

  • Any developer looking to learn how to perform business analytics and intelligence using Python.

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