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Byte Academy

Online, NYC, Bangalore

About Byte Academy

Location: Online, NYC, Bangalore

Byte Academy is a leader in industry-oriented technology education with full-time, part-time and remote programs in areas such as full stack Python Software Development, FinTech, Data Science, Quant-Algos and Blockchain. It addition to its academics Byte... Read More

Byte Academy's full stack Python coding program is one of the first in New York City; and, its FinTech (financial technology) coding program is one of the first in the world.

Courses

Blockchain Immersive

Duration: 14 weeks
Locations: NYC
In-person Only
Course Description:

The course incorporates the fullstack software development curriculum, including Python and JavaScript, so students can successfully develop blockchain web applications by the time they graduate.

Subjects:
Python, Blockchain, JavaScript

Data Science (Full-Time)

Cost: $10,000
Duration: 14 weeks
Locations: Online, NYC
In-person Available Online
Course Description:

This program teaches important Data Science Concepts together with full stack development utilizing Python as the programming language. Our course covers topics including: data acquisition, data analysis, Pandas, prediction and machine learning, statistical modeling, Hadoop, SQL, NoSQL and more. Students will work on a number of data science projects including a final project in their area of interest.

No prior data science experience is required. For short-format Data Science workshops, see our mini-course listing (http://byteacademy.co/data-science-mini-courses/). Our full-time program offers a job guarantee.

Subjects:
Cryptocurrency, Python, Machine Learning, Blockchain, Django, Hadoop, JavaScript, Data Visualization, Data Structures, Data Science

FinTech (Financial Technology) Full-Time Bootcamp

Cost: $14,000
Duration: 14 weeks
Locations: NYC
In-person Only
Course Description:

Our program will teach you FinTech, or, Financial Technology so that you can build financial applications by the end of the program. You may focus on areas such as blockchain, payments, lending, roboadvisory and more. Our full-time program offers a job guarantee for eligible individuals.

The first phase of the program will make sure your coding skills are sharp by teaching you our time-tested Python full-stack development curriculum. Then, we'll enhance your FinTech industry knowledge and its technical tools in order to have a better framework to decide which area(s) of FinTech you will address via your extensive project work.

Areas of FinTech we’ll cover on a conceptual and technical level include lending, payments, cryptocurrency/blockchain, KYC, insurance (InsurTech), robo advisory, regulatory tech (RegTech) and more. We’ll also introduce you to some popular platforms and widely used APIs in the industry.

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, overview of algorithms and statistics used in Quant Trading.

All students will build a portfolio of projects to showcase to potential employers. Some students choose to do their projects for real FinTech companies. Many choose a blockchain focus as part of the program.

Subjects:
Business, Cryptocurrency, Python, Machine Learning, Blockchain, Django, Algorithms, JavaScript, Data Science

Introduction To Quant-Algos

Cost: $1,800
Duration: 4 weeks
Locations: Online
Course Description:

This online course will provide an introduction to quantitative algorithms for beginners. It will also provide the necessary background to ramp up for our more intensive Quant Algos course created in partnership with a leading stats-arb fund.

In an Intro to Quant-Algos we will cover basic concepts of formulating an algorithm, and touch upon model fit analysis by walking through an example algorithm. We will also walk through the basics of the Pandas python library which will form the basis of all coding done in this class. Other topics include:

- Introduction to pandas
- Integration, Cointegration, and Stationarity
- Introduction to Pairs Trading
- Example: Basic Pairs Trading Algorithm
- The Dangers of Model Overfitting
- The course will be led by our lead FinTech instructor who is also a veteran Wall Street technologist with years of experience at top-tier investment banks.

Schedule: Tuesday & Thursday, 6:00 pm – 9:00 pm, 4 weeks

Python Foundation

Cost: $500
Duration: 4 weeks
Locations: NYC
In-person Only
Course Description:

This course is designed for students interested in learning the foundations of data science with Python. During the course, students will learn an introduction to Software Engineering in the Python Programming Language including variables, data structures and more; Fundamentals of Writing Software and System Operation including working in Linux, MacOS or Windows; Git, Github and Best Practices; Computer Science including introduction to algorithms and “Big O” notation.

No pre-requisites are required, and provided you pass the final assessment, the Foundation Course cost would apply towards tuition of the full-time course.

Subjects:
Python, Data Analytics, Algorithms

Python Foundation Intro Part-Time Course

Cost: $500
Duration: 4 weeks
Locations: NYC
In-person Only
Course Description:

With Python Foundation you will learn the fundamentals of Python, the highest paid coding language for recent bootcamp grads.* Course meets two evenings per week. No pre-requisites are required. If you want to continue learning, you will have the skillset to begin our Python Fullstack, FinTech or Blockchain bootcamps and will not need to complete the mandatory pre-work. This is provided you pass the final assessment. Also, the Foundation Course cost would apply to tuition.

Sample topics:
- Introduction to Software Engineering in the Python Programming Language including variables, data structures and more
- Fundamentals of Writing Software and System Operation including working in Linux, MacOS or Windows; Git, GitHub and Best Practices
Computer Science including introduction to algorithms and “Big O” notation

There will be project work and a skill assessment at the end. For more course details and syllabus, please see: https://byteacademy.co/courses/python-foundation/

Subjects:
Linux, Git, Github, Python, Algorithms, Data Structures

Python Fullstack Software Development (Full-Time)

Cost: $12,950
Duration: 14 weeks
Locations: Online, NYC, Bangalore
In-person Available Online
Course Description:

We emphasize Python in our coding curriculum as it is the highest paid coding language for recent bootcamp grads (Course Report) and is great at analyzing multiple levels of Data. In addition to Python, we provide instruction in other front and backend languages including JavaScript, HTML/HTML5, CSS/CSS3. 90% are placed in technology jobs within six months of graduating the programs.

Our course teaches languages, frameworks, and computer science fundamentals that you need to land a career in web development . The curriculum places heavy emphasis on teamwork, peer programming, and projects to showcase to employers. Career services, such as instruction in public speaking, resume review, self branding and hiring events are woven into the program and provided for life. Some students even do their assigned projects for real employers.

The full-time course on-site course is 14 weeks. A tuition reimbursement job guarantee program is offered.
Tuition and policies vary per location.

Python Fullstack Software Development (Part-Time)

Cost: $14,000
Duration: 24 weeks
Locations: Online, NYC, Bangalore
In-person Available Online
Course Description:

Our part-time class lets students learn to coding 2x per week 6:00-9:00pm in the evenings.

We emphasize Python in our coding curriculum as it is the highest paid coding language for recent bootcamp grads (Course Report) and is great at analyzing multiple levels of Data. In addition to Python, we provide instruction in other front and backend languages including JavaScript, HTML/HTML5, CSS/CSS3.

Our course teaches languages, frameworks, and computer science fundamentals that you need to land a career in web development . The curriculum places heavy emphasis on teamwork, peer programming, and projects to showcase to employers. Career services, such as instruction in public speaking, resume review, self branding and hiring events are woven into the program and provided for life. Some students even do their assigned projects for real employers.

Subjects:
CSS, HTML, Cryptocurrency, Python, Blockchain, Django, Algorithms, JavaScript

Quant - Algos (Part-Time, Evening)

Cost: $10,000
Duration: 24 weeks
Locations: Online, NYC
In-person Available Online
Course Description:

Learn Quant-Algos in the evenings 2x per week with our course created in partnership with a leading statistics – arb hedge fund. We’ll help you understand core statistical concepts and develop the tools to apply to data analysis and model time series for any industry. Classes will emphasize model creation and validation along with theoretical skills and statistical modeling interference.

This course will help you learn and utilize Python’s advanced data libraries including pandas, numpy, scikit-learn, and more. We’ll also delve into statistical topics such as summary statistics, regression, time series, hypothesis testing, and much more. Main areas that we will cover include:

-Python primer
- Stats concepts
- Time Series – Forecasting model
- Sample models
- Trading algorithms
- Model fit analysis
- Analyzing risk
- Factor models

Quant applications to other fields - For those who choose a finance industry focus, we will draw upon Byte’s leading FinTech curriculum and community. Education on algorithms, a focus of the course, will be geared towards investments. We’ll prime you and connect you with our network for a career at a bank, hedge fund and/or other company that you seek out. Top finance firms are constantly looking for new mathematical talent.

Prerequisites: Some programming experience and experience in statistics or math, model validation, and design in any field. There will be an assessment in order to enroll in the course.

Subjects:
Business, Cryptocurrency, Python, Blockchain, Django, Algorithms, Statistics & Probability

Byte Academy Reviews

Average Ratings (All Programs)

Byte Academy logo

4.62/5 (39 reviews)

Anonymous
Graduated: 2021

9/4/2021

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"Python Fullstack"

Best place to learn coding and build your career path as python Full stack developer. Good curriculum and best mentors support. Students will start learning from the beginning and course completely covers both front end and back end technologies. Strongly... Read More

Jarrett W.
Penetration Tester | Graduated: 2020

3/28/2021

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"Look elsewhere"

While the course work and teachers are great, there is something very much to be desired from the "job support". Shortly before the pandemic for some reason unbeknownst to students, they decided to let go of their career services leader effectively leaving... Read More

Lina
Graduated: 2020

10/27/2020

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"I learned a lot in a short amount of time ans got lots of needed practice!"

I enjoyed taking intro to Python at Byte Academy. The instructor Anton was very knowledgeable and made it easy to follow the class material. There were many homework assignments and challenges which were very beneficial to practice. I did the class in... Read More

Tara
Graduated: 2020

9/24/2020

Course
Data Science (Full-Time)

Overall

Curriculum

Job Support

"Just graduated! (data science)"

In my time at Byte I got to be taught by all the instructors, and they were all SO friendly and knowledgable about everything they were teaching, and always willing to answer questions and help with homework or debugging code (everything was remote, but... Read More

The lectures are about 1.5-2 hours a day and there’s about an hour of “code review” (going over lecture questions and getting help on homework if needed). My biggest advice is definitely to GO TO CODE REVIEW AND DO THE HOMEWORK EVERY DAY!!! I was learning so much new information each day in the lectures, and code review was a great time to talk more about what I learned in lecture and ask all my questions, so that I could make sure I had a solid understanding of everything before we moved onto the next topic in the next day’s lecture. The tests and quizzes are totally manageable IF you keep up with the homework and go to code review- you can’t expect to hear something once in lecture and be an expert at it without doing practice. The difficulty of the homework directly lined up with the difficulty of the tests/quizzes so DO THE HOMEWORK and get help on it if you need to!! There’s also tuesday night algorithms/interview coding prep workshops which are SO HELPFUL for practicing and getting better at coding.

The final project was my favorite part!! You can pretty much pick whatever topic/project you want and the instructors help you come up with a manageable project and if you get stuck they’re there to help, but you’re the one deciding what to do (it’s insane to realize how many new skills you’ve picked up when you’re in the final project phase- I could code and understand so many Data Science models/algorithms that I never even had heard of before the course). All in all I learned so much and am so happy i did this!!

Prasida Newman
Graduated: 2020

9/2/2020

Course
Data Science (Full-Time)

Overall

Curriculum

Job Support

"Data Science students, look elsewhere."

Review of Phase One, as I am currently enrolled in Phase Two of Data Science:
Data Science students, look elsewhere. Both instructors for Phase One were full stack instructors. The content of Phase One is heavily weighted towards the full stack skillset,... Read More

Adrian Heredia
Graduated: 2020

8/20/2020

Course
Python Fullstack Software Development (Part-Time)

Overall

Curriculum

Job Support

"Wonderful experience"

Anton, one of the teachers here was amazing. He really went out of his way to ensure we were getting all the information. He left room for questions and really helped explain anything not understood by any of the students, by examples and y showing us... Read More

Dan Milisits
Byte Graduate | Graduated: 2020

5/29/2020

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"A great way to get a new career kickstarted"

I'm going to keep this review short and sweet, because the following is all that needs to be said.

From the first day I stepped foot into Byte, I was told that what you put in is what you get out. After my 3 months, I came to recognize that no truer words... Read More

One thing that needs to be spoken about is the quality of education from my cohort's instructor, Greg. Greg did an incredible job at taking material that is hard to digest for any newcomer and turning it into something very palatable and easy to understand. He was patient, always willing to help and very personable. I genuinely could not have asked for a better instructor.

In conclusion: Every day I walked into Byte, I had a smile on my face. The environment is pleasant, the staff is great and the curriculum is just what I needed to make this exciting career change. Put in the work and you won't regret being a Byte student!

Thomas Malek McCarthy
Software Dev | Graduated: 2020

5/27/2020

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"Quality Instruction and Instructors"

I enrolled in Byte after graduating with a degree in chemical engineering with almost no coding or computer language experience. After the 3 phases I'm confident in writing multiple languages front and back-end. I began with the pre-phase 1 month foundation... Read More

After this foundation course i began the Full stack course with Greg Smith as the instructor. The first 2 months are extremely quick, if you don't want to fall behind you will need a minimum of 2.5 hours of self study a day. Greg is a very patient teacher which i greatly appreciated as my knowledge was being built from ground up and there were a lot of basics i needed explanation for twice. He would answer questions into the night as late at 8-9pm and always offered to help you understand the problem rather than just fix it. I highly recommend Greg as an instructor, he knows the material in and out and has enough out of curriculum knowledge to help give you the tools to take on your own challenges. I was able to self teach myself a core language, Dart, in only one week because of the tools and conditioning Byte provided to me.

Negatives? I don't think i encountered any problems with phase 1 or 2. Both phases teach you an extremely large amount of knowledge in a short amount of time, and teach it well. However phase 3 will be a serious step down in intensity, but this is up to you. Phase 3 has an open ended project to "prove" what you've learned over the past 8 weeks. This is tempting for students to take it easy and meet the bare minimum to pass the criteria for the solo project. I think Byte could definitely fit more class time into phase 3 or introduce a third language into the curriculum during this third phase. After two months of intense schooling the third month definitely feels like a mini vacation relative to the other phases. I definitely would like to see a new language introduced or more in depth learning of the languages covered in the third phase.

Gabriel Tan, CFA, CFP®
Director | Graduated: 2018

3/27/2019

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"Great Experience"

I decided to make a career change and go from finance to tech, but I knew it was going to be a diffifult transition given my lack of programming experience. With the myriad of options in NYC, I am happy to say that I made the correct decision with Byte... Read More

I started in the foundation class and continued through the full-stack curriculum. It was definitely difficult, but as long as you keep up with the work, you will be pleasantly surprised with all your progress and how much knowledge you amass in several months. I can now confidently say that I am full-stack developer who can create applications in Python, JavaScript, and React.

I recommend this course to those who are willing to put in the work and are ready for a change in their career path.

Greg Smith
Graduated: 2018

3/26/2019

Course
Python Fullstack Software Development (Full-Time)

Overall

Curriculum

Job Support

"An Amazing Experience"

Two friends recommended I attend a bootcamp to learn to code, and so I knew what to expect in terms of work and time going in. Even then, the course was challenging enough that I spent pretty much all my time learning for 14 weeks.

If you stay on top of... Read More

I'd recommend Byte's Fullstack Immersive to anyone willing to put in the time, but know that it needs to be your priority the entire time or you might risk getting behind.

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