Predictive Analytics

Advanced methods for forecasting and future prediction in data

Learn to build models that predict the future — from linear regression to neural networks. The course combines solid theory with real hands-on projects at the end of each module.

play_circle_filled Start the course — free list_alt Course content

Modules

Hours of content

Lessons

Projects

emoji_objects Learning outcomes

What you learn in the course

By the end of the course you will be equipped with the tools and knowledge to build professional forecasting systems

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Understanding the principles of predictive analytics and its use in business

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Mastering statistical and classical models for prediction

psychology

Working with machine learning for accurate prediction

engineering

Analyzing and executing hands-on predictive projects

Tools you will learn: Python scikit-learn TensorFlow XGBoost R pandas Advanced Excel

menu_book The curriculum

The full course plan

6 comprehensive modules, from the fundamentals to complex hands-on projects

access_time Total: 32 hours of content

view_module Modules: 6 modules

play_lesson Lessons: 24 lessons

Predictive analytics fundamentals

4 lessons · 240 minutes

240 min expand_more

play_circle_outline What is predictive analytics and its business applications

play_circle_outline The difference between description, classification and prediction

play_circle_outline The stages of the predictive-analytics process

play_circle_outline Preparing data for analysis

Classical statistical methods

4 lessons · 300 minutes

300 min expand_more

play_circle_outline Linear and polynomial regression

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