Data Science Bootcamp

New? Get an introduction to the world of Data Science.

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Prompt Engineeting Masterclass (No Code)

Learn the secrets of effective prompt creation to get the best out of LLMs.

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Generative AI for Marketing Professionals (No Code)

Leverage Generative AI to excel at Digital Marketing.

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Programming Effectively with Generative AI (Code Based)

Becaome a better programmer using Github Copilot.

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Introduction to Building LLM powered APPs (Coding Based)

Become industry relevant by upskilling to Genrative AI powered applications.

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Data Science Potential

Data Science influences every industry. Develop lifelong practical skills and a scientific temperament that can be used in any career you choose to undertake.

Our Difference

We use Applied Computational Data Science, taught using a visual and easy to understand pedagogy, which makes it easy for learners to grasp complex concepts easily to produce meaningful results in less time.

Our Achievements

We have completed a pilot run of the complete program over a period of two years in a University setting with flying colours. More than 500+ students have benefitted and more continue to do so. More than 100 projects have been created by the students. 99% have been placed in the industry. Many students have gone to win prestigious Data Science competitions. In 2020, the undergraduate program was rated to have one of the best pedagogy scores. It also has one of the best graduation outcomes with the programme completion rate of 96-99%. It was ranked one of the best in terms of content and fifth overall across India.

Your career in right hands

The program development is directed and imparted by people who have 20 years of experience in AI. We are self taught, been there, done that, so we understand the struggles of a student to learn a complex and evolving domain. We strive our best to ensure that we can pass on our experiences, tips and tricks that we have learned in the last two decades, so you don’t have to spend time figuring out the flow or face common roadblocks.

Why Data Science?

MichaelPage Talent Trends 2020-2021 finds : Data science professionals with 3-10 years of experience get annual salaries in the ₹25-65 lakh range, while those with more experience can command pay packages upwards of ₹1 crore. Experts with more than 15 years of experience can get paid up to ₹1.8 crore. The starting salary for data science professionals is 15-20% higher than other roles in engineering. When changing jobs, generally people demand 25-30% hike, but data scientists demand a 35-45% hike. The average annual pay hike for them falls between 20-30% compared with 15-20% for the rest of the employees.

The demand for data science professionals is at an all-time high, and the supply hasn’t been able to catch up, leading to an acute shortage of talent. As more and more companies move to the cloud, the need for data science and engineering talent will further increase. Rapid growth and demand in digital transformation and advanced analytics have led to a surge in demand for data science professionals in key technology areas such as artificial intelligence. The time taken to hire engineers in general is six-to-eight weeks, while the time to hire data scientists is 11-12 weeks.

40% of Analytics professionals in India have a work experience of less than 3 years. 61% Jobs are open for candidates with 0-5 years experience. The 2021 global estimate calls for 2.7 million job postings for analytics and data science roles. Indian data science industry is growing at a healthy rate of 33.5 per cent CAGR. India is projected to become one of the top five markets for Big Data by 2021.

Who is a Data Scientist?

A Data Scientist is someone who uses data to increase profit or influence a metric of interest. There are Four types of functional roles that a Data Scientist can perform. Canonically this is what a commercial data scientist is involved with:

  • Business Intelligence : Expressing data in effective visualizations to enable effective decision-making.

  • Data Analysis : Using data to explain why something happened in the past.

  • Data Analytic : Using data to predict what will happen in the future.

  • Data Engineering : Collecting, transforming, moving, securing and storing data to make the above three possible.

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Our Courses

Introduction to Building LLM powered APPs (Coding Based)
  • 2 days
  • Data Analytics

Introduction to Building LLM powered APPs (Coding Based)

Introduction to Building LLM powered APPs In today’s rapidly evolving technology ecosystem, …

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Programming Effectively with Generative AI (Code Based)
  • 2 days
  • Data Analytics

Programming Effectively with Generative AI (Code Based)

Introduction The world of programming is rapidly evolving. Generative AI tools, like Github Copilot, …

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Generative AI for Marketing Professionals (No Code)
  • 2 Days
  • Data Analytics

Generative AI for Marketing Professionals (No Code)

About the Course Unleash the Power of Generative AI in Your Marketing Campaigns: A Course …

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Prompt Engineeting Masterclass (No Code)
  • 2 Days
  • Data Anylytics

Prompt Engineeting Masterclass (No Code)

About the Course Welcome to the Age of Generative AI! The world is on the cusp of a new era, powered …

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Data Science Bootcamp
  • 1 Month
  • Bootcamp

Data Science Bootcamp

About the Course If you are completely new to Data Science, this well recognized course is the best …

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Business Intelligence and Information Design : Introduction : BIID101
  • 3 Month
  • Business Intelligence

Business Intelligence and Information Design : Introduction : BIID101

About the Course There are four functional roles in Data Science, namely, Business Analyst, Data …

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In the age of information do not be Data Illiterate

YES! I want to add Data Science to my skill-set to excel my Career.

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What is special about our courses?

If you can do addition, subtraction, multiplication and division you can do our courses. No calculus needed because we use Applied Discrete Mathematics (as opposed to Continuous Mathematics). The instructions makes complex topics very simple and easy to understand because we designed this course for everyone. Our focus is on Applied Data Science (as opposed to Pure Data Science). We use Applied Computational Statistics (as opposed to Analytical Statistics) and focus on Bayesian rather than Frequentist statistics which are comparatively easy to learn and grasp. We strive to explain complex topics so even an ordinary student can achieve extraordinary results.

We have taken great pains to ensure the content is expertly crafted and strategically delivered. The programs are field tested and industry vetted by PhDs and IITans. Our programs are industry relevant – all technologies are chosen based on industry demand and their leadership position in Gartner Magic Quadrant. The content is constantly updated and is one integrated story – 2000 hours of content as opposed to unrelated disjointed learning journey. The programs are directed by one experienced person, so they are consistent in teaching methodology and offer end-to-end Data Science production knowledge using MLOps and Cloud.

We follow project based learning (less theory, more practice) with more than 100 projects from various sectors like Retail, E-commerce, Web and Social Media, Banking, Supply Chain, Healthcare, Insurance, Entrepreneurship/Start Ups, Finance and Accounts.

Our programs covers the full Data Science spectrum : Business Intelligence and Information Design, Data Analysis, Data Analytics and Data Engineering to prepare you for all Four functional roles.

We develop your skills using Four types of Knowledge :

  • • Fundamental Knowledge
  • • Tool Specific Knowledge
  • • Domain Specific Knowledge
  • • Project Specific Knowledge

Upcoming Events

Bootcamp in Data Science in Hindi
15
Jul

Online, Chandigarh

Bootcamp in Data Science in Hindi

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