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Fintech Bootcamp
Learn FinTech, or, Financial Technology with our FinTech bootcamp. Choose to focus in areas including blockchain, payments, lending and more.
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  • Instructor-Led Class Room and Online Training
  • 24*7*365 Coding Support
  • Lifetime Membership to our Coding Community
  • Week Day & Week End Batches
  • New York Curriculum in India

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This Course Includes

  • 400+ hours of Live Classes
  • Live Projects | Industry Cases
  • Placement Assistance
  • Loan and 0% EMI Payment Option
  • 24/7 coding support

Duration

 

Full Time: 12 Weeks

Part Time: 24 Weeks

Next Batch

 FT: 3rd Apr | 2nd May | 5th June

PT: 27th Apr | 25th May | 29th June

Careers

 

Data Scientist, Data Analyst, Machine Learning Engineer, Data and Analytics Engineer

Highlights

 

480 Hours Live Classes

200+ Coding Assignments

Fintech Bootcamp

In order to build financial applications, we’ll first make sure your coding skills are sharp. After you have mastered your programming skills with our time-tested Python full-stack development curriculum, we’ll enhance your FinTech industry knowledge and its technical tools. With this, you’ll have have better framework to decide which area(s) of FinTech you will address via extensive project work.

Areas of FinTech we’ll cover on conceptual and technical levels include: lending, payments, cryptocurrency/blockchain, KYC, insurance (InsurTech). We’ll also introduce you to some popular platforms and widely used APIs in the industry including: Xignite, Yodlee/Envestnet, Reuters, Bloomberg, IBM, Monax, others.

Additionally, we’ll help you understand the data science concepts that are being used by FinTech companies so that you can apply these to your project work. Topics include: Pandas data analysis, machine learning and sentiment analysis, time series regression.

Download Syllabus
Phase 1 - 1
Python Basics

  • Runtime Environment Setup, Git and GitHub Repository Setup
  • Linux Development Environment, Bash Commands, Linux File System, Navigating the terminal
  • Python Installation, Running Python Programs using Sublime / IDLE / nano
  • Programming Fundamentals: Introduction to python, Data Structures, File Operations, Iteration, Control flow, Functions and Functional Programming, Built In Functions, Classes and Class Organization
  • Best Practices: Keeping it simple, DRY code, naming conventions, comments and documentation
  • Python Standard Library (standard libraries typically include definitions for commonly used algorithms, data structures, and mechanisms for input and output)
Phase 1 - 2
 Computer Science, Beyond the basics

  • Introduction to Computer Science and Computer Organization
  • Big O Notation, Data Structures, Algorithms (Sorting and Searching)
  • Data Formats – XML, JSON
Phase 1 - 3
Phase 1 - 4
Phase 2 - 1
Phase 2 - 2
Phase 2 - 3
Phase 2 - 4
Phase 3 - 1
Phase 3 - 2

Career Focus

Project based curriculum lets you solve real problems for companies and build a portfolio of work to showcase

Regular campus visits by company founders and industry veterans, providing tips and industry insights

Mentorship and internship programs

Resume and self-branding help from Phase 1

Projects by our Students

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