Data Science Bootcamp
Personalized Applied Learning
Real work experience to get some of the highest paid careers in Tech
Get Started for FREE: check out our Intro to Python course
Ranked Top Among Coding Bootcamps Worldwide
No tuition until you're hired.
Helping folks like you change their lives is our goal. Learn from the Python Bootcamp and then gain the project experience necessary to land a job as part of the program. No tuition is expected until you are hired.
Chat with Admissions to learn about your financing options.
Data Science
Python
Learn to code Python, the industry standard language for Data Science..
SQL
Learn SQL to interact with databases, an important tool of most businesses.
Mathematics
Learn the essentials of Calculus, Linear Algebra, and Statistics to understand machine learning.
Data Visualization
Learn to make compelling visuals to showcase the results of your analysis.
Machine Learning
Use data to make accurate predictive systems.
Personalized
Your instructor will closely monitor your progress every step of the way; they are here to help!
Cohort Start Dates
Online Full Time
Next Start Date:
TBD
Online Part Time
Next Start Date:
TBD
Online - Full Time
Start Date : 30th October 2023
Online - Part Time
Start Date : 30th October 2023
Curriculum
Computer Science Fundamentals
- Introduction and Environment
- Development Environments (VSCode, Juypter Notebook)
- Github and Git
- Operating Systems and Unix
Introduction to Python
- Data Types
- Control Flow
- Functions
- Complexity Theory
Object Oriented Programming
- Design Considerations
- Classes
- Modules
- Context Managers
- Exceptions
Data Structures
- Recursive Structures
- Linked List
- Tree
- Graph
Software Theory
- Algorithms
- Networks
- Databases
- Testing
- Data Management
Introduction to Data Science
- Intro to Machine Learning
- Math Prerequisites (Calculus, Linear Algebra, Statistics)
- Regression
- Model Analysis
Supervised Learning
- K Nearest Neighbors
- Decision Trees & XGBoost
- Intro to Neural Networks
Neural Networks
- Feed-forward Neural Network
- Convolutional Neural Networks
- Recurrent Neural Networks
Unsupervised Learning
- K-Means Clustering
- Principal Component Analysis
- Autoencoders
Machine Learning Theory
- VC-Dimension
- Reinforcement Learning
3 Final Projects
- Students create 4 capstone projects during the final phase of the program, culminating in a project of your own design
- These projects span a variety of data science skills, to give you real experience and round out your analytical, presentation, and engineering skills
- The final project can be a guided internship, working for two weeks on a project for an actual company instead of your own design
Technical Interview Preparation
- Work with your peers to gain mastery of tech interview topics and questions
- Study Data Structures and Algorithms questions to prepare for technical interview questions that focus on coding fundamentals
- Practice other topics as well, including basic SQL questions and short analytical exercises that may also show up in data-relate interviews
4-Week Internship
- Complete a 4-week internship and get your first professional development experience.
- Graduate having worked on a project for a real company, with the confidence to start your career in tech.
Our Program
Full-Time
Incorporating both live and recorded instruction, our curriculum delivers the best of both worlds. We emphasize applying your knowledge in a succession of projects and project reviews, as well as practice of the foundational interview concepts, to build up the quality of your code and prepare you for your first job or internship.
- 24 week program (includes 10 weeks of our project and career phase+4 week mandatory internship)
- Begin each day with a 1 hour session with your instructor that's part Q&A and part code review.
- The recorded lesson for the day will be released at the end of the check-in.
- Watch the video at your own pace and work through the exercises.
- The last hour of the day is spent in group code review along with ongoing 1 on 1 instructor support.
- The course will consist of lecture and exercises as well as assessments.
Part-Time
Similar to the full-time bootcamp, your part-time program will also utilize live and recorded instruction with an emphasis on application. Part-time allows you a bit of flexibility to juggle a job while taking steps towards your new career.
- 24 week program
- Our part-time classes meet for required check-ins from 6-7 pm, ET Monday and Wednesday or 6-7 pm, ET, Tuesday and Thursday
General Bootcamp Live Online
Byte Academy utilizes a 'live instructor led' experience that includes a virtual F2F interaction with the trainer. Graduates qualify for a Spryte internship for additional group and real world work experience.
- You'll begin each day with a 30 min discussion of the previous day’s doubt clearing session
- A new technology concept is introduced to the students in the next 1.5 hours followed by a short break
Career Support
After completing the 14-week instructional phase of the curriculum and a final project, our graduates have taken these new technical skills to diverse companies across many industries. Our graduates re-start their careers at companies such as Google, J.P. Morgan, BlackRock, IBM, Apple, Volvo, Capgemini, Fidelity, Analytics Quotiet and more!
ADMISSIONS PROCESS
- Complete the application here.
- Pass the Admissions Interview
- Complete our “ Intro to Python” program or test out of this prerequisite (speak with an Admissions Officer for this option)
- Pass the Technical Interview
- Receive your Admissions Decision
What You'll Learn
We'll teach you to extract meaningful patterns from data, as well as the applied coding skills to turn this theory into practice. The program is intense but produces high quality data scientists able to get jobs at Fortune 500 companies, startups and every size company in between!
Choose Data Science
Data Science jobs pay very well!
Enroll now, Pay when hired
No deposit. Pay after you're earning $40k+
Then pay 15% of your salary for 3 years (max $30k)