Data Science Training is the most appropriate course for you if you are willing to work with data produces by the organizations and millions of users every day. This training program will let you learn about the basic of data science, required programming language like R programming and R Studio, working with Github, manipulation, analysis and cleansing of data.

Through this training program, you will also learn about the concept of Big Data, Machine Learning and the traditional uses of data Science. While working with Data Science, the training program will teach you the required topics of statistics like probability and linear regression. Data visualization is a very important topic of this training program, and you will also learn how to perform data modelling from this course, as well.


  • This course has no specific prerequisites.
  • If you are good at any high-level programming language, that will be considered as an added advantage.
  • Fundamental knowledge of computer hardware and software is a plus but not mandatory.
  • Basic knowledge of statistics is ideal but not required.

What will you gain after this course

  • You can catch the new hype of the technological trend.
  • You can widen up your job opportunities.
  • You could be considered as a recognized data Scientist.
  • You can design and develop a business model of an enterprise.


This instructor-led, live training (online or onsite) is aimed at professionals who wish to start a career in Data Science.

By the end of this training, participants will be able to:

  • Install and configure Python and MySql.
  • Understand what Data Science is and how it can add value to virtually any business.
  • Learn the fundamentals of coding in Python
  • Learn supervised and unsupervised Machine Learning techniques, and how to implement them and interpret the results.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Day 1

  • Data Science: an overview
  • Practical part: Let’s get started with Python – Basic features of the language
  • The data science life cycle – part 1
  • Practical part: Working with structured data – the Pandas library

Day 2

  • The data science life cycle – part 2
  • Practical part: dealing with real data
  • Data visualisation
  • Practical part: the Matplotlib library

Day 3

  • SQL – part 1
  • Practical part: Creating a MySql database with tables, inserting data and performing simple queries
  • SQL part 2
  • Practical part: Integrating MySql and Python

Day 4

  • Supervised learning part 1
  • Practical part: regression
  • Supervised learning part 2
  • Practical part: classification

Day 5

  • Supervised learning part 3
  • Practical part: building a spam filter
  • Unsupervised learning
  • Practical part: Clustering images with k-means

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