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Data Scientist at Accenture (Previously at XYZ)
Today was my first day at IIT Hyderabad and making it here as the youngest learner was only possible because of Prudhvi’s mentorship. His way of simplifying concepts and analogies made it easier to recall. Happy to have undertaken this course and this course helped me make my IT dream come true.
Data Scientist at Tech Mahindra (Previously at XYZ)
As a student of the NLP 100 Hours program, I can say, we got the best instructor. Great case studies, exhaustive hands-on, Good interactivity sessions, and a diverse batch for good networking are the best part of the course. This is the best course for NLP
Sr. Engineer at Accenture (Previously at XYZ)
I find your tutorials are very well structured and address the analytic requirements for the researchers and data analytics. I find the outputs in your tutorials are exactly in the same format that we require in real projects. The focus you gave on the assumptions testing before doing the analyses is also price worthy. Thank you very much for your determination.
Data Science Leader
I can recommend Prudhvi as a enthusiastic Data Scientist, who is not afraid to dig in most complex algorithm logic, finding a way how to implement new techniques or fix some cumbersome code issue.
Sr Manager, Data Science
Prudhvi’s indepth knowledge, is evident in teaching as he seamlessly synchronizes with students at all stages. While his structured live classes sink in concepts, his practical examples , hands-on practice helps to retain them!
Senior Data and Analytics Manager
The training provided by Prudhvi is a uniquely comprehensive curriculum, one of the best I have come across. Perfectly balances fundamental of Math and Statistics, gradually progressing into complex ML , Gen AI, making the transition seamless
Data Science Leader
I recommend Prudhvi for his approach to deliver the content is amazing & updated with market requirements. The assignments given are very well drafted that will test your knowledge. I thoroughly enjoyed his classes.
This intensive course equips you with the essential mathematical building blocks for data science success.
In this session, learners will gain an understanding of the mathematics behind the statistical models, and data fundamentals of how to build a visual on data.
In this session, learners will discover how probability is used in day-to-day life, and how data scientists leverage probabilistic models to build real-life use cases like dynamic pricing, click prediction, and churn reduction
In this session, learners will get deep details of each of the jargon – Gen AI / NLP / etc how it is helping businesses, and how we can get skilled to get a job in this field. Learners will understand what’s hyped, what’s real-life Data Science
In this session, learners will revise the equations, and mathematics behind the Machine Learning and AI models. How fundamentally does this model work, and what aspects of Linear Algebra and maths are used to build such models and brush up on the fundamentals in the context of DS and AI
In this session, learners will understand how matrices revolutionized the world of AI, how matrix multiplication leads to building better and faster models, how GPUs leverage matrix multiplication at scale, and also other matrix operations fundamental to data scientists
This module helps learners learn Python from Zero. We will help you set up your environment and start running Python Scripts. This module is designed for complete beginners who have never coded in the past. In the next part of this module, learners will discover data types, and different operations with each data type – lists, strings dicts, etc.
This module introduces the easiest way to create arrays which are used heavily in building Machine Learning and AI applications. We will learn to play with arrays, a crucial ML engineering skill
80% of Data Science’s real job is cleaning and munging it. In this module, we will teach from scratch how to load data, process it, clean it, and make it ready for training and modeling.
A picture is equal to 1000 words. In this module, we will teach you how to build a visualization from the data, different types of visualization, and customizing them to tell a story all with open source packages in a very easy and simple way.
By the end of this course, you’ll be empowered to confidently approach data with a solid understanding of the core mathematical concepts that fuel data science.
We're so confident in our program, that we offer a 100% placement guarantee
Learn from structured content developed by seasoned industry experts, ensuring you gain the most relevant and practical data science skills.
Master data science at a competitive price. We offer structured learning without breaking the bank.
Join a community of over 500 data science success stories – our proven approach gets results!
You’re interested in data science but overwhelmed by the vast amount of information and jargon. You lack the foundational knowledge to make sense of it all.
Probability, statistics, and linear algebra sound intimidating, holding you back from pursuing a data science career.
You collect data but struggle to interpret it effectively. You’re unsure how to find meaning and draw valuable insights from your datasets.
You want to transition into a data-driven field but lack the mathematical skills to compete for data science jobs.
You don’t need any prior experience or knowledge to learn data science
While a solid foundation in math can be helpful, it’s not a barrier to entry.
Build Clarity & Confidence:
You will know much better about the field of Data Science and understand whether this is a fit for you or not.
Plan Your Path Forward:
Understand the next steps to advance in data science, whether through further study, personal projects, etc.
