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Key Highlights
Deep Learning, Machine Learning, Reinforced Learning modules
12 Live Projects
4/6 Months Duration
Certificate of Excellence/Completion
Placement assistance
Syllabus- Data Science Quickstart Mode
The section gives you a headstart with libraries and modules that are essential to any Data Science Pipeline. This quickstart section helps you to get going as fast as possible with the course.
- Basics
Python is the language that we use for scripting and learning Data Science algorithms throughout the course. This section provides a introduction to the basics of Python programming language. - Functions
Functions are the programming paradigm that increases code reusability in our scripts. This section introduces functions in Python along with other high level concepts like Generators and Decorators. - Builtin Data Structures
Data Structures are the skeleton of computer programming. In this section, we look into the inbuilt data structures that python provides us. - Object Oriented Programming Models
Writing good code involves greatly designed classes. We define classes and modules in this section and equip us with important knowledge of OOPs with python. - File and Error Handeling
In this section, we look into file handling with python. We also learn how to safely handle errors in our python programs. - Iteartion Protocol and Generator
In this section, we look back to functions and learn Generators in detail. We see the iteration protocol in python and implement different iterators in python. - Asynchronous Programming in Python
Asynchronous programming is an essential part in production level python scripts. In this section, we look into Async Programming in python.
- Basics of Git/GitHub
Version Control Systems are very important in any project development cycle. We look into Git and GitHub in this section.
- Data Acquisition Web Scraping
Data Acquisition is the very first stage in any Data Science project. In this section, we see how to acquire data from unstructured data sources from the web. - Data Acquisition using Web API
APIs are an essential part of web applications. In this section, we see how to leverage the power of Web APIs and extract/gather data from these sources. - Data Acquisition Web Crawler using Scrapy
Have you heard about Spiders? No not the insect spiders but web spiders. In this section, we learn about these spiders and crawlers. - Web Automation
Selenium is one of the most used Web Automation tool in the industry. In this section we learn, how to use selenium's python package and automate web browsing.
- Getting Started with Machine Learning
This section gives the first introduction to Machine Learning. We discuss different types of learning paradigms and formulate a introductory definition to Machine Learning. - Numpy
This section gives the first introduction to Machine Learning. We discuss different types of learning paradigms and formulate a introductory definition to Machine Learning.
- Linear Algebra
Data Science is a culmination of many different fields. This section introduces one of the most important prerequisite for learning Machine Learning, i.e Linear Algebra - Two Dimensional Dynamic Programming
- Data Visualisation
In this section, we look into some Data Visualisation packages we have in python. - Pandas
The most famous python package of all, the PANDAS. In this section, we will cover the basics of Pandas package. - Probability Distribution & Statistics
Before getting into major topics, this section gives us a gist of Probability and Statistics required to cover more advance in-depth topics.
- KNearest Neighbours
In this section, we look into our very first Machine Learning algorithm, K-Nearest Neighbour or KNN - Linear Regression
Linear Regression is one of the widely used algorithm in data analytics and data science firms. In this section we learn Linear Regression and its in-depth analogies. - Linear Regression II multiple features
Linear Regression is one of the widely used algorithm in data analytics and data science firms. In this section we learn Linear Regression and its in-depth analogies. - ScikitLearn Introduction
One of the most import package for Data Science professional, scikit-learn. In this section we learn scikit-learn and see how we can quickly prototype machine learning algorithms in 1-2 lines of python code. - Optimisation Algorithms
This section introduces us to Optimisation methods. We cover the general iterative optimisation methods and its variant - Locally Weighted Regression (LOWESS)
In this section, we cover a non-linear regression estimate, the Locally Weighted Regression technique - Maximum Likelihood Estimation (MLE)
Machine learning is about parameter estimation. In this section we learn one such parameter estimation method, the Maximum Likelihood Estimation. - Logistic Regression
How about a Linear model for classification tasks? This section, we learn Logistric Regression and see how classification is performed in Machine Learning. - Data Preprocessing and Feature Selection
Data preprocessing and Feature selection is the most important and integral part of Exploratory Data Analysis - Pricipal Componenet Analysys
Curse of Dimensionality? This section we learn something to solve the high dimensionality problem. The Principal Component Analysis. - Natural Data Processing & Naive Bayes classifier
Want to work with textual data? We need Natural Language Processing. - Decision Tree & Random Forests
In this section, we see another non-parametric model and learn what ensemble models are. - Support Vector Machines
We have learned so many Linear Models, how about modelling non-linear functions and decision boundaries? In this section we learn Support Vector Machines, the greatest of all before the wave of Deep Learning. - Clustering Fundamentals
In this section we learn about unsupervised learning and introduce KMeans clustering
- Deep Learning Introduction
Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning. In this section, we dig deep into Deep Learning, we cover major deep learning architectures like Deep Neural Network, Convolutional Neural Network and Recurrent Neural Network and learn Backpropagation & Backpropagation-through-time optimization algorithms. - Neural Networks MLP's
- Convolutional Neural Network
- Traning Data Loaders, Augumentation, Colab
- Digging Deeper into Convnets
- Transfer Learning
- Markov Chains for Text Generation
- Recurrent Neural Networks
- Word Embeddings Word2Vec
- Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward. We end our journey with ML by introducing some reinforcement learning algorithms and seeing how it is performed in the industry.
- Generative Adversarial Networks
What curriculum teachs machine learning without Generative Modelling. In this section we do an introduction to Generative Models and cover some paradigms like Adversarial Training and Variational Inference. - Deep Convolutional GAN's
- Pytorch
PyTorch is an open source machine learning framework based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab.
Projects
PokeMon Classification
Learn to classify Pokemons using Transfer Learning.
Web Crawler
Learn to build Spiders using Scrapy for Amazon, PepperFry etc.
Emoji Prediction
Learn to predict emoji's using Recurrent Neural Networks.
Odd One Out
Find out the odd word using Word Embeddings.
Word Analogies
Learn to implement Word2Vec and learn interesting analogies in an unsupervised manner.
Titanic Survivor Prediction
Solve Kaggle like challenge using Decision Trees and Random Forests.
Cartpole Player
Use Reinforcement Learning to teach AI play Cartpole Game.
Dominant Color Extraction
Repaint an image using K-Means Clustering.
Face Recognition
Learn to build a Face Recognition System using OpenCV and Machine Learning.
Diabetes Classification
Use Logistic Regression to classify diabetes patients.
Handwritten Digit Recognition
Use Neural Networks to classify hand-written digits.
Language Generator
Use Markov Chains to make a cool text generator.
Choose Batch
Classroom Batch
Live Batch
Online BatchClassroom Batch
4-6 months duration, covers Python, Machine learning, Data analytics with 12 live projects
Priority Placement assistance & Doubt support
Personal mentoring, progress tracking and feedback
Certificate of Excellence/Completion
Free Wildcraft bag, Swags and access to Online course Developer CV and In-class HackathonsCourses
Starts 24 Nov'24
Data Science Master Course
This course includes
- Covers Foundation, Basic and Advanced modules
4-6 months duration
Personal mentoring, progress tracking & Feedback- Certificate of Excellence/Completion
Priority Doubt Support- Placement Assistance
Free Wildcraft bag
Free access to Online Course
Curriculum designed for beginners. No Coding experience required
Live Batch
70+ live classes, 6-7 months duration, covers Python, Machine learning, Data analytics with 12 live projects Priority Placement assistance & Doubt support Personal mentoring, progress tracking and feedback Certificate of Excellence/Completion Developer CV and In-class HackathonsCourses
Starts 22 Nov'24
Data Science Master Course
This course includes
- 70+ Live interactive lectures in
fastrack mode
- 4-6 months duration
- Personal
mentoring, progress tracking & Feedback
- Certificate of Excellence/Completion
- Placement assistance
Priority Doubt Support- Curriculum designed for beginners.
No Coding experience required
Online Batch
Highly Economical model to learn 85+ hours Exhaustive content and Tech enabled Guided learning 6 months duration, covers Python, Machine learning, Data analytics with 12 live projects Live interactive booster classes of difficult topics Certificate of Excellence/Completion Progress tracking and feedback Optional Priority Placement assistance & Doubt supportCourses
Starts 1 Nov'24
Data Science Master Course
Manu S Pillai
Choose Type
This course includes
- 85+ Hours Online Lectures
- Personal mentoring, progress tracking & Feedback
Topic Based Assignments- Certificate of Completion/Excellence
- Curriculum designed for
beginners. No Coding experience required
- Covers Foundation, Basic and
Advanced modules
- 6 Months Duration
Starts 1 Dec'24
Data Science Master Course
Manu S Pillai
Choose Type
This course includes
- 85+ Hours Online Lectures
- Personal mentoring, progress tracking & Feedback
- Topic Based Assignments
- Certificate of Completion/Excellence
- Curriculum designed for beginners. No Coding experience required
- Covers Foundation, Basic and Advanced modules
- 6 Months Duration
Why choose Coding Blocks
Learn and grow as a developer with our project based courses.
Superb mentors
Best in class mentors from top Tech schools and Industry favourite Techies are here to teach you.
Industry-vetted curriculum
Best in class content, aligned to the Tech industry is delivered to you to ensure you are a darling of the Tech industry.
Project based learning
Hands on learning pedagogy with live projects to cover practical knowledge over theoretical one.
Superb placements
Result oriented courses with placement across all genres, students as well as Working professionals.
Inspirational Success stories of CB Alumni
where hard work and determination meets victory!
I am greatfull to Coding blocks for laying the foundation of the concepts of coding and Machine learning for me. It has been my ladder to success. It's a place where the mentors make you an individual capable of solving problems on our own. It is a place where anyone who has a will to learn will thrive with the knowledge provided. They make sure that no student go back with the doubts and the best part is the open discussion in classrooms that give you a platform to discuss your ideas and see the various approaches to a problem. I am truly thankful to my mentors for helping me in understanding my concepts. Thank you coding blocks
From being newbie in Data Structures and Algorithms to getting placed at Qualcomm Coding Blocks was always there for me. I did my first ever course of C++ from Coding Blocks in 2017, and since then there's no looking back. With such great mentors I later did Android and Machine Learning course which helped me strengthen my Resume. Thanks to team CB for this contribution !!
I've loved coding ever since I tried it for the first time in class 6, but my interest in it somehow diminished during JEE prep. I rediscovered my passion for coding after taking up CS Engineering as my path. I completed 2 courses from Coding Blocks (Java & ML) and the learning experience along with challenging questions, hands-on projects and constant support has been very fulfilling. Coding Blocks has not only helped me understand what I'm learning, but also why I love it so much. That's why I also worked as a Teaching Assistant here, which further cleared my concepts! Due to this, I became confident enough to interview with tech giants like Google and Facebook, and finally secured an internship at Microsoft. I'm especially grateful to Coding Blocks for being this amazing ❤️
I love coding blocks because it cleared all my coding concepts and made my algorithmic and logical part strong , thus helping me secure a 6 month internship at amazon. Also thankful for giving a nice understanding about other computer science topics like OS and System Design which helped a lot during the interviews. I am thankful to Coding blocks and team and i owe my success to coding blocks
I love coding blocks because it cleared all my coding concepts and made my algorithmic and logical part strong , thus helping me secure PPO at amazon. I am thankful to Coding blocks and team and i owe my success to coding blocks
Still in doubt? We are here to help you out!
Top placements from these programs 
Placement assistance
A dedicated Placement team along with Hiring Blocks, the placement portal of Coding Blocks work round the clock to ensure the best of opportunities in the Tech arena are available to you.
Developer CV and Dev profile Preparation
Interview Preparation
150+ Partner companies for Placements and internships
Mock interviews
Learning cycle
What an inspiration to all!
MentorsCoding Blocks has some of the best mentors in the Industry who will remain by your side during your Preparation for teaching, guidance and assistance.
Shubham SinghalInstructor and Product engineer
Manu S PillaiSenior Instructor and Product engineer
Your Code Buddies!
A wide network of TAs aka Teaching assistants, who are typical ex-students of Coding Blocks helps in Doubt resolution along with Mentors, through Video, Audio, Screen share and other media to ensure all your queries are addressed timely
Industry Coaches
Industry experts are guides currently working in Top companies like Google, Amazon, Microsoft and the like and they helps students with invaluable tips on the Industry, Hiring process, Mock interviews and other necessities required for paving the way into the Top Tech companies around the globe.
Tech Established Learning!
The e-learning portal is an in-house developed, state of the art application which uses the best of technology and resources to ensure all learners gain the maximum from their program. It provides immersive learning with suggestions and guidance to ensure even self learning is effective and fruitful. This portal allows learning through ebooks, videos, notes while allowing learners to attempt coding problems, MCQ assignments with attending live classes and asking doubts through chat and live video calling feature with mentors and TAs.
See what students have to say
Manali Biswas
My mentor taught a lot of concepts very well in such a short time. He also solved my doubts even after the course completion. I really loved to solve each question in the class and also those that were given as homework. This course really gave me a head start to my coding journey. I remember the day when I was just travelling somewhere when I spotted the Dwarka center. I never knew it would play such a big role in my learning process. Thanks a lot to Coding Blocks!
Simarpreet Sikka
Coding Blocks has helped me develop strong base in competitive programming. Algo++ and CP bootcamp helped me crack Tech Giant Microsoft with much ease.
Shadma Siddiqui
Coding Blocks is the best place to strengthen your concepts in programming and the course content is structured in a very proper way. Also, the environment will keep you motivated throughout. The TA support will help you whenever you are stuck. The one thing i loved the most was the way how my mentor cleared our concepts. No matter how many doubts you have they are always available to your support from online to offline. If it were'nt for Coding Blocks I would not be placed this early. Thank you CODING BLOCKS!!
Aman Bansal
I really enjoyed the environment CB provided. Not only was I intrigued by the depth of knowledge of the people at CB but I was also pushed and motivated to learn things to the same level as them. I also took the Online Competitive Coding course which certainly was the course that got me through the GS interview and Online Rounds. I can't thank my mentors enough for creating such an awesome course. I can't help but say that CB helped me raise the bar which I had set for myself when it comes to coding and learning.
Srishti Kohli
I'm extremely thankful to Coding Blocks for making competitive coding a cakewalk! My mentors were wonderful teachers and mentors. The course content is clear and complete. I will forever be grateful for the guidance.
Rajat Gupta
Coding Blocks has always helped me connect with talented people around. As a campus superhero, I have been in touch with my mentors, both of whom have never failed to guide me and my peers in achieving the best!
Mahima
My coding journey started at Coding Blocks. I was a student of Launchpad C++ course and it helped me in grabbing a great understanding of data structures and algorithms and improved my problem solving skills as well. I'd like to thank Coding Blocks for all the help and support :)
Dhruv Agarwal
If you have time for only 1 course to pick, go for interview prep. Skills acquired to time spent ratio is amazing. Thanks to my mentors and the team I was able to crack the majority of online rounds and interviews. The teaching style of them made me understand DSA effortlessly.
Anshuman Diwaker
I had an amazing time learning Data Structures and Algorithms(JAVA) at Coding Blocks. The mentorship and curriculum covered by my mentor was excellent. I would revert back to the lectures every time i needed to revise my concepts again. Concepts taught in JAVA were also very useful during my Internship. Thus it was a great learning curve for me.
Dhriti Saini
I built my foundation of Data Structures and Algorithms during the Launchpad C++ course which helped me develop interest in coding and problem solving. Thank you to the CB mentors who guided us.
Dhiraj Kumar Jain
The course made my basics very clear and the assignments and questions gave him ample practice for the interviews . I am very much thankful to my mentor for his guidance and continued support . The techniques explained my him in the course proved very much helpful to me in the interviews . I am thankful to Coding Blocks for making such a course which helped me ace in my interviews.
Anshul Mittal
Coding Blocks helped in gaining enough experience to get internships at giants like Google and Rubrik.
Frequently Asked Questions
Learn and grow as a developer with our project based courses.
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What is Classroom program?
Coding Blocks has physical centers in Delhi and Noida. Classroom program batches are conducted in these physical centers where you learn in a class with your peers and mentors, much like the way you do in College or University with a difference that you get to have personal attention by the mentor. Batch size is extremely limited and Course completion is complete for all learners. This is the most successful program in terms of Success or placements.
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What is Live interactive program?
Live interactive program is a perfect replacement to the Classroom program. In a live interactive course, classes are conducted in a controlled environment, where the mentor teaches and students can interact with the mentor, much like a classroom. The only difference is that the mentor is not physically present in front of you. This model allows you to learn from the mentor of your choice, transcending boundaries and is economical as compared to the Classroom program.
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What is Online Self paced program?
Self paced Online programs are guided learning courses driven by our state of the art e-learning portal. These programs carry the same legacy as our Classroom programs. In order to reinforce learning and assist students, we have made our Self paced Online programs “HYBRID”, meaning we have added Live classes of topics where we feel students need interaction with mentors. In addition, students can clear their doubts through Video calls or Chats with our mentors and TAs. If learners stay close to our centers, they can even visit our Physical centers and meet the mentors in person to resolve their doubts.
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I took Online Self paced program but now I feel I need to switch to Classroom program because that is how I have been always learning. Can I shift my batch from one mode to another?
If you are facing trouble with any model and want to make a switch, please get in touch with the Coding Blocks Support team for assistance. If need be, we will help you transition from one model to another.
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I am confused on which mode of learning to opt, Classroom, Live interactive or Online?
The three models of learning are very different in nature and suits different learners basis individual preferences. We would recommend you to connect to our counsellors who can guide you well on which program and model best suits your needs.
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I will have doubts while studying. How are they addressed?
Doubts are addressed by your Mentors and Teaching assistants who are always there to help you in your program. Doubts can be addressed in person, over live video calls, live chats and screen sharing sessions, pair coding sessions, Slack channels and Whatsapp groups, in addition to our portal where your doubts are also addressed. Don’t worry, we got your back.
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How can I get Teaching Assistant (TA) role after completing my course with Coding Blocks?
Once you complete your course, you need to apply for the position of TA in Coding Blocks. Your application will be screened, you will be interviewed and tested on Coding problems and then you will be roped in. As Coding Blocks alumni, you will get priority.
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How can I get Placement and Internship assistance from Coding Blocks?
A dedicated Placement team along with Hiring Blocks, the placement portal of Coding Blocks work round the clock to ensure the best of opportunities in the Tech arena are available to you.There are more than 150 companies who have partnered with Coding Blocks for hiring our students.
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I am studying in College and planning to do this course? Will I be able to cope up with the Work load?
Most of the learners at Coding Blocks are College students only. All our courses and curriculum, across Classroom, Live interactive and Online self paced models are created to ensure you can learn while studying in your college.
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Will I get Certificate of completion after this course?
Yes, you will get Certificate of completion once you complete the course. Completion of course depends on how much content has been completed, together with how many assignments have been completed. If you are a dedicated and hard working learner, you can also bag our Certificate of excellence.
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I have already done a course from Coding Blocks. Am I eligible to get some discounts as an Alumni?
Our Alumni is our family. We definitely would be more than thrilled to have you back, as this is really common for us. And yes, we would be happy to offer you exciting concessions on fee. We would recommend you to connect to our counsellors who can guide you well on this.