Rated #1 Bootcamp in Bangalore by Switchup

Want to learn to code but don’t know where to start?

Enroll in our Foundation courses designed for complete beginners! 

View the Course


Are you an International student looking to study at Byte Bangalore?

Here’s all the information you need.

The Byte Advantage

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    Practical Education

    We believe the best way to learn is by actually doing. All our courses focus on practical education and heavily emphasize project work.

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    Career Focus

    Our main focus is to get you a job! Students receive lifelong career advice, placement assistance, and access to our extensive global partner and alumni network

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    Flexible Format

    Our programs come in a variety of formats to meet your scheduling needs including weekdays only, weekends only, online or offline.

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    Engage with a vibrant global community of learners, students, professionals, industry experts, hackers, entrepreneurs and more. Join our meetup group

It is a good place to join if you’re looking for a short-term intensive course. The instructors are well experienced and equipped. They introduced me to a lot of new technologies and the in-demand frameworks for web development. The syllabus is tailored to fit in a lot of concepts and very well designed teaching approach. A handful of students in each cohort. Definitely one of the best boot camps in Bangalore for Python Full Stack. Highly recommended.

Abhijith Vijayendra Python Fullstack Student



Byte Academy Bangalore currently offers classes in Python Software Development, FinTech and Data Science and Blockchain. 

International Students looking for Enrolling Courses in India do check out for the prices and other guidelines applicable here. The course syllabus mentioned below remains the same for international students as well.

Foundation Course on Software Development

Foundation 4 Weeks, 5 Days/Week, 2 hours/day Remote (Online Delivery)

Foundation 2 Weeks, 5 Days/Week, 4 hours/day Full Time (In Classroom)

Our Foundation Course on Software Development teaches fundamentals of computer science, kickstarting coding and programming skills, foundational concepts of mathematics for computer science. The curriculum emphasizes Python programming language as a coding language to learn all the foundational concepts.

Course Details

Foundation Course on Blockchain

Foundation 4 Weeks, 5 Days/Week, 2 hours/day Remote (Online Delivery)

Foundation 2 Weeks, 5 Days/Week, 4 hours/day Full Time (In Classroom)

Our Foundation Course on blockchain teaches fundamentals concepts of blockchain technology comprising of decentralization, distributed ledger, cryptography, hashing functions etc,. Build some cool blockchain programs using javascript, and introduction to Decentralized apps.

Course Details

Python Full Stack Software Development

Full Time 12 Weeks, 5 Days/Week | Part-Time 24 Weeks, Saturday and Sunday

Our software development course teaches languages, frameworks, and computer science fundamentals that you need to land a career in web development. The Curriculum emphasizes Python, a coding language based on the foundational structure of networked programming. We provide instruction in other front and backend languages including JavaScript, HTML/HTML5, CSS/CSS3.

Course Details


Full Time 12 Week, 5 Days Per Week | Part-Time 24 Week, Saturday and Sunday

Learn the fundamentals of the financial industry across different asset classes, such as bonds and equities, as well as challenges and opportunities in the startup space, including regulation, blockchain, KYC, AML, and more. Combine this with a course in full-stack software development with Python and JavaScript utilizing the Flask web framework, the Pandas data analysis library, the MatPlotLib and D3 graphing libraries, and the jQuery DOM manipulation library. In the final phase, build a full-fledged financial application with this knowledge.

Course Details

Data Science

Full Time 12 Week, 5 Days Per Week | Part-Time 24 Week, Saturday and Sunday

Learn the Python Data Science Stack: Jupyter Notebook, Anaconda, Panda, numpy, scipy, nltk, etc. Learn data acquisition, exploration, analysis, and visualization. Learn GeoSpatial data analysis, data storage and management with SQL and NoSQL solutions, big data and cluster computing, statistical modeling and inference, and machine learning.

Course Details



What is the instructor profile?
A curated mix of industry experts, veterans in education, and core technology experts conduct our courses. We will also have online classes with instructors from our New York City headquarters.

How will Byte Academy help me get a job? 
We provide our students with extensive career counseling and advisory services, resume and interview prep guidance, as well as connect them with our wide range of recruiting partners.

How many people are in a cohort?
Our courses tend to be around 10 people to be able to ensure sufficient focus on final projects and personalized learning. We will have multiple cohorts starting on a rolling basis to accommodate the student.

Where is Byte Academy located?

The campus is located in No. 13 Gurukrupa Mansions, Krishnareddy Layout, Domlur, Bangalore.

For more questions, please email info.in@byteacademy.co

Python and Data Science Workshops

Cover a variety of topics including front-end development, time series data training, algorithms and more.

view schedule

“The content and the syllabus of Byte academy covers a lot of topics in the field. This will allow me to work on any technology that I learn here. The short duration allows me to have intense study schedule which I feel is effective.”

Ananth Sharma Byte Academy, Bangalore

Meet Our Python and Data Science Proficient Students

Global Partners : Python and Data Science Professionals


Our partners include leading institutions, Fortune 500 companies, accelerators, startups, universities and more.

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A Global Community of Python and Data Science Professionals

Become part of a community that is fostered on and off campus with numerous opportunities to interact with large and diverse circles.

This is done through our extensive mentor and alumni network, access to top industry events, and regular meetups including guest speakers, demo days and hackathons.

Here’s just a sample of some of the communities in our ecosystem

Join our community

Admissions in all our courses

Our admissions process

  1. Register
  2. Pass ByteDev* and Pay Fees
  3. Submit necessary documents
  4. Interview (full-time only) 
  5. Enroll

Python and Data Science Tuition

Fees for our full-time and part-time programmes, and short courses vary.

Please reach out to info.in@byteacademy.co for more information


Ask about our loan options!

We strive to make education more affordable.

contact us


  • Tuesday, March 12, 2019

Debug Duck Dare

We dare you to talk to your rubber ducky...
Our students are taking the Debug Duck Dare and we invite you to join! Background The thought is that when programmers talk a problem out they can actually solve it. So, there is an actua...

Upcoming Events

    • Thursday, March 28, 2019
    • 8:00 pm - 9:00 pm

    Tips and tricks to land your dream job using online platforms (LinkedIn, GitHub)

    Online platforms like LinkedIn and GitHub are a great way to showcase your experience, skills and qualities to your potential employers. If used properly, these platforms/ resources could immensely boost your chances of getting placed in a company that you like, doing the job you love. In this sessi...

    • Sunday, March 31, 2019
    • 11:00 am - 1:00 pm

    Introduction to Bayesian Networks by Usha Rengaraju

    This session is brought to you by Byte Academy in partnership with JobsForHer Foundation. Bayesian networks are a type of probabilistic graphical model that provides a theoretical framework for dealing with this uncertainty using an underlying graphical structure and the probability theory. PGMs hav...

    • Thursday, April 4, 2019
    • 7:00 pm - 9:00 pm

    Introduction to Machine Learning and Logistic Regression by Gnana Lakshmi

    This session is brought to you by Byte Academy in partnership with Women Who Code. Event agenda: - Introduction to Machine Learning
    - Exploratory Data Analysis (Feature selection mainly)
    - Predictive Modeling (A quick introduction to Supervised an
    Unsupervised models)
    - Introduction ...