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Data Science for Beginners:
Foundations Bootcamp
Are you eager to kickstart your career in data science but need help knowing where to begin?
Our weekend bootcamp is designed for you.
We’ve got you covered! In two weekends, transform your skills and boost your confidence with our intensive, hands-on bootcamp!
- Date: Oct 26-27 & Nov 2-3 (Sat & Sun)
- Two weekends
- 11.30 AM -1.30 PM IST
- Location: Zoom
- Date: Oct 26-27 & Nov 2-3 (Sat & Sun)
- Two weekends
- 11.30 AM -1.30 PM IST
- Location: Zoom
Note: Bootcamp is free. It will be only for participants who are keen to learn. Selected participants will be informed via email within 2 days.
Instructed by
Prudhvi
Founder & Chief Mentor,
Supervised Learning
Expertise:
8+ years in Data Science
Taught 5000+ hours of live class
Why & how
SKILL | Why It’s Important | How it Helps |
|---|---|---|
Python Basics | The main language for data science. | Enables coding and automation of data tasks. |
Data Manipulation | Key for organizing and analyzing data. | Allows efficient data cleaning and preparation. |
Data Visualisation | Essential for creating impactful visual insights. | Helps communicate findings clearly and effectively. |
Essential Math | Fundamental for understanding and building models. | Provides tools to analyze data and develop models |
Why this bootcamp?
Live classes
You can ask questions. You can interact directly with the Chief Mentor, Prudhvi P.
Recorded sessions
Access to recorded content for hands-on coding practice that can be learned at your own pace and time.
Assignments
Problem statements to implement and reinforce your learnings
Exciting Prizes
Scholarships to End to End Data Science Course for students with the best performance in the boot camp.
What will you learn in the bootcamp?
Unveil the power of data in just two weekends
This intensive course equips you with the essential mathematical building blocks for data science success.
- Live Sessions
By the end of this course, you’ll gain a solid understanding of the core mathematical concepts that fuel data science and AI.
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, 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 and how it is helping businesses, 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 deepest equations, and mathematics behind the Machine Learning and AI models. How fundamentally does this model work, and what aspects of Linear Algebra and math are used to build such models and brush up on the fundamentals in the context of DS and AI
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 scientist
Applied Statistics and Distributions for Data Understanding and Visualisation
Probability and Bayesian Machine Learning
In this session, learners will discover how probability is used in day to day life, how data scientists leverage probabilistic models to build real-life use cases like dynamic pricing, click prediction, and churn reduction.
Demystifying the jargon of AI / ML / Deep Learning / NLP / Gen AI
In this session, learners will revise the deepest equations, and mathematics behind the Machine Learning and AI models. How fundamentally does this model work, and what aspects of Linear Algebra and math are used to build such models and brush up on the fundamentals in the context of DS and AI
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 scientist
Linear Algebra for Machine Learning and AI
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 modelling.
- On Demand sessions
By end of this course, you’ll confidently write code to clean, process and visualize the data
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 modelling.
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
Python for Data Science
Numpy for Machine Learning Applications
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.
Pandas for Data Munging, Cleaning and modelling
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 modelling.
Data Visualisation in Python with Matplotlib Seaborn
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 modelling.
Who should join?
- Aspiring data scientists
- 2024 graduates
-
Anyone interested in a
career in data science
- Business analysts
- Professionals looking for a career change
Kickstart your data science journey.
Still, is the bootcamp for you?
If you checked ANY of the boxes below, then this bootcamp is perfect for you😁
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.
Bootcamp outcomes
Apply probability concepts to assess chance and uncertainty in data.
Utilize Bayes' theorem for real-world applications in machine learning.
Summarize and analyze data using descriptive statistics.
Understand sampling techniques and data types for effective modelling.
Leverage central tendencies, quartiles, and variance to interpret data behaviour.
Decipher key probability distributions and their applications.
Gain a foundational understanding of linear algebra for data science applications.
Testimonials from Sep 2024 bootcamp
The bootcamp had very good content. Prudhvi explained in detail in easy manner
I recently completed this bootcamp and highly recommend it. The content was well-structured, covering basics to advanced topics, with practical exercises that helped me grasp the concepts. Ideal for both beginners and those refining their skills
The bootcamp is excellent for someone who wants to know what data science is all about. The instructor, Prudhvi is immensely knowledgeable and supportive and the course has both live classes & self-paced recorded content for hands on coding practice
The bootcamp is excellent for someone who wants to know what data science is all about.
The instructor, Prudhvi is immensely knowledgeable and supportive and the course has both live classes & self-paced recorded content for hands on coding practice
The bootcamp had very good content. Prudhvi explained in detail in easy manner
I recently completed this bootcamp and highly recommend it. The content was well-structured, covering basics to advanced topics, with practical exercises that helped me grasp the concepts. Ideal for both beginners and those refining their skills
The bootcamp is excellent for someone who wants to know what data science is all about. The instructor, Prudhvi is immensely knowledgeable and supportive and the course has both live classes & self-paced recorded content for hands on coding practice
The bootcamp is excellent for someone who wants to know what data science is all about.
The instructor, Prudhvi is immensely knowledgeable and supportive and the course has both live classes & self-paced recorded content for hands on coding practice
Students of Supervised Learning placed at
Awards
Innovation Award for Excellence
and Growth by Telangana Govt
2021, 2022
Innovation Award for Excellence and Growth by Telangana Govt 2021, 2022
Outstanding AI Upskilling
Platform Award by MATH, T Hub
2021, 2022
Outstanding AI Upskilling Platform Award by MATH, T Hub 2021, 2022
Frequently asked questions
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.
Data science is a rapidly growing field with diverse career options. Depending on your interests and experience, you might pursue roles like data analyst, machine learning engineer, data scientist, or business intelligence analyst.
But, you can start working in the data science field only after completing the main course. This weekend workshop will help you understand how to begin your career in data science & important skills you need to acquire.