Skill Development

Data Science Bootcamp

This data science bootcamp is an intensive training course that aims to equip participants with the skills and knowledge needed to pursue a career in the field of data science. These bootcamps typically span several weeks and cover a range of topics such as statistics, machine learning, data visualization, and programming languages such as Python and R. During the bootcamp, participants will engage in hands-on exercises, projects, and assignments to gain practical experience in working with real-world data sets. They also receive mentorship and guidance from experienced data science professionals and network with peers in the field.

By selecting this, you agree to the Privacy Policy and Cookie Policy.

Market Overview

Why Data Science Bootcamp is in Demand?

The demand for data science professionals is growing faster than the supply, making it a lucrative and attractive career option for individuals with a background in mathematics, statistics, computer science, or related fields..

As more and more tasks are being automated, businesses are looking to data science to help them optimize their processes and make more informed decisions..

Companies are recognizing the value of data science in gaining insights into customer behaviour, predicting trends, and making data-driven decisions to improve their bottom line.


Introduction to the course

This module will be a basic module that will help you in framing your analytical perspective.

Python for Data Science

In this module we are going to start with Python for Data Science where all the important needful concepts will be covered in detail

Statistics for Data Analytics

In this module, we are going to learn about different statistical concepts which are not important for Data Science and also from an interview point of view.

Data Wrangling

Once you have the core skill of programming covered – dip your feet in the nitty – gritties of working with data by learning how to wrangle and visualize them

RDBMS and SQL for Data Science

Data is stored in Databases and databases can be of various types. But when we talk about Databases what first comes in our mind is SQL (Structured Query Language). Even in most of the data analytics job description SQL is always mentioned.

Machine Learning

Machines have increased the ability to interpret large volumes of complex data. Combine aspects of Computer science with statistics to formulate algorithms that helps machines draw insights from structured and unstructured data.

Natural Language Processing

NLP helps resolve ambiguity in language and adds useful numeric structure to the data for many downstream applications, such as speech recognition or text analytics.

Deep Learning & Computer Vision

Go beyond superficial analysis of data by learning how to interpret them deeply. Use deep learning nets to uncover hidden structures in even unlabeled and unstructured data.

Deploying ML Models using Flask, Streamlit (ON PREM) & Cloud

Go beyond the model preparation by learning how to deploy a machine learning model using Flask, Streamlit and Cloud etc.

Spark and Data Engineering

Get prepared on the concepts of Data Engineering as an add-on feature.


Register By 16-Apr-2023
Data Science Bootcamp
  • Sunday

    10 AM

  • Thursday

    08:00 PM - 10:00 PM

What our learners are

What our customers are saying


I attended BA Program at Pragra. My experience has been incredible. Pragra not only provides quality training and good value but also provides the whole support system which keeps students motivated while searching for jobs. All trainers are very approachable and supporting. Veer is an excellent mentor and he helped me understand Salesforce concepts very easily. Even after completion of the training he guided me for Certification and Interviews.Vivek is always approachable for any advice...

Arshdeep Kaur

Business Analyst

Meet your mentors

We choose our mentors from global market leaders with a rigorous selection process. Our mentors keep you motivated and on track. And they ensure your success.

  • Satyajit

    Lead Data Consultant

We provide flexible payment options.

Financial Add

Pragra Scholarships

Limited number of scholarship are available for eligible students, please contact program co-ordinator for details.

Pragra Loans

For eligible learners, loans could cover 60% of fee. Repayment starts asap candidate start the job or 6 month after the completion, whichever is earlier.

Windmill Microlending

Windmill Microlending offers affordable loans up to $15,000 to help skilled immigrants cover the costs of training, education and licensing requirements needed to launch their careers in Canada.

Frequently asked questions

Can’t find the answer you’re looking for? Reach out to our career counselling team team.

Does Pragra help with job placements?
The answer to this question is a big YES. It’s a very central question to our philosophy and as I said, for Pragra there’s only one definition of success and that is ‘Your success is our success’, once you get a job, that’s a successful event for Pragra.
What are pre-requisites to learn Data Science?
Machine learning is a core component of data science. You should have a good understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, decision trees, neural networks, and deep learning.
Is there any Certification required for the Data Science?
There is no official certification required to become a data scientist, but there are many certifications available that can help you demonstrate your skills and knowledge to potential employers like Google or AWS Certifications.
How much salary will a Beginner Data Science Engineers get in Canada?
The average data scientist salary in Canada is $135,167 per year or $69.32 per hour. Entry-level positions start at $87,727 per year, while most experienced workers make up to $147,146 per year.
How to prepare for Data Science jobs?
Having the right presence with your GitHub and LinkedIn profile,ensuring that it is designed not day before the application begins however for no less than three-four months span so your profile looks areas of strength for incredibly the day of utilization