FOR BEGINNERS AND EXPERIENCED LEARNERS
Data Science Training Program
Join us for the intensive industrial training program on Data Scientist and get yourself placed as a Data Scientist/Analyst in your dream company
4.8
6K+ Learners enrolled
120+
Hours of lectures
10+
Projects
Advanced
Self Paced
Real World Projects
3 Certifications
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Prerequisites:
No Prerequisites required
Tools you’ll master in
This is where you embark on an amazing journey!
Real-Time Mentor-Led Support for Clearing Doubts
Personalized guidance through 1-on-1 sessions with dedicated mentors
Empowering Features to Fuel Your Learning Journey
Tailored curriculum designed for effortless learning
Sharpen your skills with practice problems of varying complexities
Receive structured feedback to enhance your capabilities
Code, compile, and run seamlessly within an integrated coding environment
Expand Your Horizons with 4 FREE Course - Lifetime Access
DSA and CP: Enhance problem-solving skills vital for optimizing code efficiency and building scalable web applications.
Core Concepts of C++ and Java: Gain a strong foundation in object-oriented programming (OOP), facilitating the creation of robust backend systems and seamless integration of frontend components.
Core Concepts of C++ and Java: Gain a strong foundation in object-oriented programming (OOP), facilitating the creation of robust backend systems and seamless integration of frontend components.
Unparalleled Flexibility for Your Busy Life
Flexible Learning
Learn at your own pace with anytime, anywhere access to classes
Weekly Milestones
Stay motivated with weekly achievable milestones
Career Accelerator Program
Equip yourself for career success with our comprehensive program offering portfolio development, LinkedIn optimization, GitHub showcasing, interview preparation workshops with mock interviews and whiteboard coding challenges, and personalized guidance for job search strategies and career advancement.
Outcomes
Master
8 + Technologies
Salary Boost
30%
Standout
Join Top 5% in Demand
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Certificates
Certificates
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
Certificates
Choose your plan
Self Paced
Data Science Training Program - Basic
Ideal for: Individuals focused on learning the course content exclusively.
Recorded Videos
Life Time - LMS - Access
4999
Enroll Now
EMI starting at ₹500/m
Additional perks
3 Certifications
Data Structures & Algorithms
Competitive Programming
Core Concepts of C++
Core Concepts of JAVA
Self Paced
Save 60%
Data Science Training Program - Enhanced
Ideal for: Individuals aspiring to learn DSA & CP alongside the course material.
Recorded Videos
Life Time - LMS - Access
5999
Enroll Now
EMI starting at ₹500/m
Additional perks
4 + 4 Certifications
Data Structures & Algorithms
Competitive Programming
Core Concepts of C++
Core Concepts of JAVA
Course Curriculum
Introduction to Python
Module 1
20 Hours
3 Projects

What you’ll learn
  • Data Types and Operators: Understand Python's fundamental data types and operators.
  • Control Flow: Learn about conditional statements and loops.
  • Scripting: Develop scripts for automating tasks using Python.
  • Object-Oriented Programming (OOP) in Python: Master OOP concepts such as classes and inheritance.

Introduction to Data Analysis
Module 2
20 Hours
1 Projects

What you’ll learn
  • Data Analysis Process: Learn the step-by-step process of data analysis.
  • Python Tools for Data Analysis: Dive into data analysis libraries like NumPy and Pandas.
  • Data Plotting: Use Matplotlib and Seaborn for data visualization.

Statistics for Data Analysis
Module 3
30 Hours
2 Projects

What you’ll learn
  • Constructs: Understand basic statistical constructs.
  • Population vs Sample: Differentiate between population and sample statistics.
  • Correlation vs Causation: Learn about the difference between correlation and causation.
  • Hypotheses: Formulate hypotheses for statistical testing.
  • Experimentation: Understand experimental design and hypothesis testing.
  • Visualizing Data: Use Python libraries like Matplotlib and Seaborn for data visualization.
  • Central Tendency and Variability: Explore measures of central tendency and variability.
  • Standardizing and Sampling Distribution: Learn about standardization and sampling distributions.
  • Estimating and Hypothesis Testing: Perform hypothesis testing and parameter estimation.
  • T-Tests: Conduct T-tests for comparing means.

SQL for Data Analysis
Module 4
40 Hours
2 Projects

What you’ll learn
  • Basic SQL: Learn SQL syntax and commands.
  • SQL Join: Understand different types of SQL joins for combining data.
  • Aggregations: Perform aggregations using SQL functions.
  • Subqueries & Temporary Tables: Use subqueries and temporary tables for complex queries.
  • SQL Data Cleaning: Clean and preprocess data using SQL.
  • Window Functions: Utilize window functions for advanced data analysis.
  • SQL Advanced JOINs: Explore advanced JOIN operations.
  • Performance Tuning: Optimize SQL queries for better performance.
  • Accessing Database using Python: Connect Python applications to databases using SQL.

Introduction to Machine Learning
Module 5
10 Hours
2 Projects

What you’ll learn
  • Linear Regression: Understand simple, multiple, and polynomial linear regression.
  • Classification Algorithms: Explore logistic regression, decision trees, and K-nearest neighbors.
  • Clustering Algorithms: Learn about K-means and hierarchical clustering.
  • Association Rule Learning: Study Apriori and Eclat algorithms for market basket analysis.
  • Natural Language Processing (NLP): Dive into NLP techniques using Python libraries.

Introduction to Deep Learning
Module 6
10 Hours
1 Projects

What you’ll learn
  • Introduction to Deep Learning: Learn the basics of deep neural networks using Keras, TensorFlow, and PyTorch.
  • Artificial Neural Networks (ANN): Understand the architecture and training of ANNs.
  • Convolutional Neural Networks (CNN): Learn CNNs for image recognition tasks.
  • Recurrent Neural Networks (RNN): Explore RNNs for sequential data analysis.
  • Autoencoders and GANs: Study autoencoders and generative adversarial networks.
  • Natural Language Processing (NLP): Apply deep learning techniques to NLP tasks.

Download Syllabus
Projects
ANALYSE WALMART STORE SALES
In this project, you will be analyzing all the apps on the AppStore trying to understand which app ranks the best and why.
UBER DATA ANALYSIS PROJECT
Analyze and Visualize the User data directly from Uber. Understand and deliver the trends.
SQL QUERY IMDb DATASET
We will query the IMDb Dataset using SQL queries and try to analyze the data using SQL.
MARKET BASKET OPTIMIZATION
We will analyze the Market Basket to optimize how can we enable people to buy more things and raise their revenue.
MALL CUSTOMER SEGMENTATION
In this project, you will be segmenting the different customers in a mall according to their shopping cart.
FACEBOOK ADS ANALYTICS
Analyze the Facebook campaigns of various companies to cluster different customers into categories.
PREDICT EMPLOYEE SALARY
In this project, we will predict the employee salary on the basis of their experience and skills.
WINE QUALITY TEST
Here, we will analyze the Quality of the Wine using its chemical composition. We will take the help of ANN to predict the quality.
EMOJIFY
Get your emoji based on your expressions.
JARVIS
We will create your first Chatbot Jarvis to help you in your daily life taking the help of Recurrent Neural Networks.
SECRET MESSAGE
In this project you will create a program that will take the names of the files and decrypts the secret message in the file.
TAKE A BREAK
Create a python script that schedules breaks throughout the day to remind the user to take a break from time to time.
MUSIC WEBSITE
Create your own Music Player Website using Python as the backend.
LANGUAGE TRANSLATOR
We will make a translator that will translate our sentences from one language to another.
MUSIC GENERATION
Here we will generate music using Generative Adversarial Networks and Deep Learning.
YOUTUBE SENTIMENT ANALYSIS
Here we will analyse the comments of a youtube video to find if the sentiment of the people is positive or negative on a particular topic.
Download Syllabus
Our Mentors
Ashish Modi
Ashish Modi
Co-Founder & Instructor
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Teaches
DSA
Shaurya Sinha
Shaurya Sinha
Co-Founder & Instructor
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Teaches
Web Development
Kevin Shah
Kevin Shah
Data Scientist
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Teaches
Data Science
Rahul Harlalka
Rahul Harlalka
Senior Analyst
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Teaches
Data Science
Sahil Rahman
Sahil Rahman
Data Science Instructor | Software Engineer
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Teaches
Data Science
Kartik Gupta
Kartik Gupta
SDE | Mentor
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Teaches
Web Development
Rohan Kinnal
Rohan Kinnal
SDE | Mentor
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Teaches
Web Development
Harsh Akshit
Harsh Akshit
Cloud & Security Evangelist
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Teaches
Cyber Security
Aditya Gusain
Aditya Gusain
Software Developer | Mentor
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Teaches
Full Stack Web Development
Samarth Singh
Samarth Singh
Instructor
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Teaches
DSA
Khusboo Tayal
Khusboo Tayal
Data Science Analyst
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Teaches
Data Sceince
Kunika Malhotra
Kunika Malhotra
Software Engineer
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Teaches
MERN Stack
Nikhil Bartwal
Nikhil Bartwal
Data Scientist
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Teaches
Data Science
Anshika Gupta
Anshika Gupta
Instructor
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Teaches
Web Development
Aradhana Kund
Aradhana Kund
Instructor | Developer
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Teaches
Web Development
Frequently asked questions
What is the hype around free complimentary courses?

In addition to your main domain course, you'll receive access to four complimentary courses at no extra cost. These include courses on DSA, CP, C++ JAVA, which hold significant value in enhancing your problem-solving abilities and preparing you for technical interviews. We provide these courses for free with lifetime access, ensuring that you have ample resources to enhance your skills and succeed in your learning journey.

Are there any prerequisites for enrolling in this course?

No, there aren't any prerequisites. Our courses are open to individuals from various academic backgrounds, including Mathematics, Statistics, Computer Science, Engineering, Business, and more. Many successful learners have transitioned into rewarding data science careers without any specific prior requirements.

What if I find it challenging to keep up with the pace of the course?

We understand that everyone learns at their own speed. With our self-paced course, you have the flexibility to progress through the material at your own pace.

Will I have access to the course material after completing it?

Yes, you will have lifetime access to the course material, allowing you to revisit it whenever needed to reinforce your learning. Additionally, along with the main course, you will also have access to complimentary courses for lifetime, further enriching your learning experience.

What about the projects I'll be working on?

You'll have the opportunity to work on 10+ live projects covering various aspects of data science, including predictive modeling, data visualization, and machine learning. Projects may involve analyzing real-world datasets, building predictive models, and deriving actionable insights. Depending on your batch, you'll be assigned to work on any two projects during your journey. Towards the end of the program, you'll undertake a capstone project where you'll apply your skills to solve a real-world data science problem, showcasing your proficiency to potential employers.

Is it like any other course, or do I really get to learn everything from scratch?

Trust us, this program covers everything you need to know about data science. You'll embark on a journey from the basics to advanced concepts, gaining comprehensive knowledge along the way. However, it's important to recognize that learning is a lifelong pursuit. While this program will equip you with the skills and projects needed to enter the data science field confidently, continuous self-improvement is key. The projects you complete and the knowledge you gain during this program will undoubtedly prepare you for the data science industry, but remember, learning is an ongoing process that extends beyond the confines of any course.

Still in doubt? We are here to help you out!