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 previous 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

21 Lessons40h

Part One: Python Core

Python installation and environment management
Understand Number Systems and Random Numbers
Data and Expressions in Python
Data Structures in Python
Control Structures
Functions in python
Computational Problem Solving
Python core summary

Part Two: Statistics

Part Three: Machine Learning

About the instructors

Pedagogy Trainings

4.60 ratings (5 )
21 Courses
65 students


Course Details

  • Level: Beginner
  • Categories: Data Science
  • Total Hour: 40h
  • Total Lessons: 21
  • Total Enrolled: 0
  • Last Update: July 23, 2020


  • There are no pre-requisite to this course

Target Audience

  • An ML enthusiast
  • IT project managers
  • Students
  • Professionals