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Data Science with Python Training Course

(48 Ratings)
Students Enrolled

This course has been prepared in collaboration with IBM. It explores the sophisticated frameworks that python has to offer for the purpose of data science. Gain a practical understanding of the NumPy and SciPy for scientific computing and analysis; Pandas for manipulating data and Scikit for ML and NLP.


Attain an IBM certification.

Gain practical knowledge of python’s application in data science through tailored project work.

Acquire a deep understanding of data science libraries used by the industry.

Course Overview

This course will first cover the basics of python programming with a self-paced module that includes an assessment provided by IBM. Our course will then dive head-first into the data science and machine learning libraries that python provides and then ensures that the knowledge you gain translates into tangible skills with the help of expert-tailored project work.

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Customized training available. Contact us at

Course Curriculum

  • Data Science Overview
  • Data Analytics Overview
  • Statistical Analysis and Business Applications
  • Python Environment Setup and Essentials
  • Mathematical Computing with Python (NumPy)
  • Scientific computing with Python (SciPy)

What You Get

1. 30 hours spread across 8 days of highly interactive Instructor-led Training

2. 5 hours of Self-paced learning

3. 2 projects to provide hands-on training

4. Teaching assistance to support your learning journey

5. Learn the required skills using Jupyter Notebook web application


Dual Certification

  • Python for Data Science Sample Certificate


    IBM Certification
  • Data Science with Python Sample Certificate

    Course Completion Certificate from GreyCampus

Boost your career. Get certified.

  • Rajeev Kumar is a highly optimistic individual that has worked with Fortune 100 clients including Google, IBM, and Disney. With over 22 years of experience in the IT industry, Rajeev has turned his focus for the past 5 years towards Data Science and AI/ML. To this end, he has come up with Data Science and AI/ML backed solutions in various fields, from Fashion to Education. His solutions have saved millions of dollars on costs to his clients.

    Rajeev is committed to sharing his learnings with enterprises to build Data Science and AI capabilities for their domains to make exponential gains.


If you are a beginner, you’ll need to complete the accompanying self-paced course and take up the test before you start off classes (an IBM certificate is provided on passing).

For participants with familiarity in python programming, you can take the test at your convenience when attending the classes as well. Note that the completion of both the self-paced learning content and the live, online classes is mandatory to get your certification.


I took this up as part of the data scientist program and it really helped. I found it easy to grasp despite having no prior experience in programming. Currently on my last course of greycampus' post-grad program.

- Rich Crawford

I liked working on the projects. It was a positively challenging and I came out a better coder.

- Jean deSilva

I am no longer scared of programming. Thanks, greycampus.

- Jaish Shah


  • What is Python?

    Python being one of the data mining tools is an object-oriented programing language used for web development or software development. It is very attractive for rapid application development and enables us to work quickly and integrate systems more efficiently due to its high-level data structures with a combination of dynamic binding and dynamic typing.

  • Why learn Python?

    Python is one of the favorite options for data analysts for using machine learning applications and other scientific computations. Some of the top reasons to learn python:

      1. Simple, flexible and easy to learn

      2. Reduces the development time to half with the simple to read syntax

      3. Supported by most of the platforms like Windows, Linux, Solaris, Macintosh, among others

      4. Built-in testing frameworks that can be used to validate ideas or products

      5. Used as a Scripting language

  • What is the duration of this course?

    • 30 Hours spread across 8 days of highly interactive Instructor-led Training.

    • 5 Hours of Self-paced learning with Lifetime access.

Download full course agenda/brochure