Special Fee :   Avail 15% discount on any single eLearning program registration by using discount code SPECIALFEEEY15 at checkout until 10th August 2026

About the Predictive Analytics with Python Course

Predictive analytics adopts a proactive approach to data. A general business intelligence tool uses data to learn about a customer or to identify trends in a business wherein, predictive analytics identifies how that customer will behave in a future situation and how they may react to the various interaction a business has with them. Predictive analytics empowers organizations to plan, which can turn uncertainty into an actionable insight with high probability.

This online predictive analytics course teaches learners to build Python models that identify patterns, forecast outcomes and support data-driven decisions.

Predictive modelling is one of the most crucial and essential components of Data Science. It is the final stage in Data Science where one or more algorithms generate predictions from historical data. Predictive modelling provides deeper insight into data and supports decisions that drive business performance.

There are more than 8.2 million developers who use Python making it one of the most popular languages for Machine Learning and IoT (Internet of Things) Apps. Technology companies and organizations such as IBM, Netflix, Google, YouTube, NASA, Amazon, Instagram and Facebook use Python in their applications. More and more companies are adopting Python as their core functionality and development language. Python certifications are widely recognized programming credentials worldwide.

Predictive Analytics Course Benefits

Learners develop practical understanding of predictive modelling techniques and how different algorithms can be selected for classification and forecasting problems.

  • In-depth learning of various statistical algorithms through practical examples.
  • May build capability to build and implement a statistical model which can predict.
  • Learn and acquire the required Python skills in specific work areas.
  • Learn to create your own Predictive Models.
  • Sessions recorded by experienced industry experts and professionals.

Who should take this Predictive Analytics Course?

The program is suitable for analytics and data science professionals, machine learning learners, quality teams, automation specialists, entrepreneurs and graduates.

  • Working professionals who intend to build their career in the field of Analytics
  • Working professionals who intend to build their career in the field of Machine learning and Artificial Intelligence.
  • Professionals who are currently in the Big Data and Data Science domains.
  • Professionals who want to build their career where computer graphics is core to the work like app designing, video game designing and more.
  • Professionals from the Quality and testing team.
  • IT-Professionals in scripting and automation industry.
  • Entrepreneurs
  • Fresh graduates and young professionals
  • Mid-level Managers
  • Professionals working with MIS and operations

Predictive Analytics with Python Curriculum

The curriculum covers linear and logistic regression, gradient descent, KNN, support vector machines, decision trees, random forests and a practical case study.

  • Univariate and Multivariate Linear Regression
  • Logistic Regression
  • Gradient Descent
  • KNN Methods
  • Support Vector Machine
  • Decision Tree
  • Random Forest Model
  • Introduction to Machine Learning and Artificial Intelligence
  • Case Study
   
For queries, feedback or assistance

Contact EY Virtual Academy Support