Introducing :  

Certificate in Marketing Analytics

About the 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 business has with them. Predictive analytics empowers organizations to plan, which can transform an uncertainty into a usable action with high probability.

Predictive modelling is one of the most crucial and essential components of Data Science. It is the final stage in Data Science wherein, predictions are generated using one or more algorithms to generate predictions out of the historical data. We use predictive modelling in order to get an in-depth insight inside data and make decisions that will drive the businesses.

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. New age and tech companies like IBM, Netflix, Google, You-Tube, NASA, Amazon, Instagram, Facebook, uses Python for their apps. More and more companies are adopting Python as their core functionality and development language. Currently python certification is one of the most sought-after programming certifications in the world.

Course benefits

  • 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 professional.

Who should take this course?

  • 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 wants 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

Course coverage

  • 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

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