Complete Data Science using Python

Build predictive engines, multi-class classifiers, recommendation models to up-sell and cross-sell business products


This course facilitates major part of a Data Science project activity. The program is divided into three major parts. Part One demonstrates the core syntactical skills needed to code and program using Python core. It covers writing basic to advanced Python programs for Data Science. Part two demonstrates the needed statistics to understand the interpretation that comes out of a statistical Data Analysis and model making. It helps tune your machine learning model parameters better. The third part is machine learning. You will use previously learnt two parts to build predictive engines for business decision making, classifiers to automate a mundane task and finally a recommendation model to up-sell & cross-sell business products to consumers.


TECHNOLOGY USED: Python core, Python for statistics and Python for ML

What Will I Learn?

  • Practical way to implement data science
  • Use case based approach
  • Focused on only practical with little theory
  • Gain skills to understand a Data Science project life cycle

Topics for this course

26 Lessons40h

Part One: Introduction – How to Think like a Computer Scientist?

General Introduction: The way of the program1:14
What are Computer Algorithms?
The Python Programming Language
A Typical First Program

Part Two: Python Core Programming

Part Three: Statistics using Python

Part Four: Predictions using Machine Learning

About the instructors

Pedagogy Trainings

4.67 ratings (6 )
23 Courses
80 students

Student Feedback


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This course is all that I need to up-skill. Thank you pedagogy trainings.



Course Details


  • There are no pre-requisites to this course

Target Audience

  • An ML Enthusiast
  • IT Project Managers
  • Students
  • Professionals