Learn from the industry’s top talents
Become a Data science and Machine Learning Engineer in 6 Months
The only program you need to land your first $100k/year tech job with 0 background in just 6 months.
Get hired by top tech companies just like our 430+ graduates
Data Science and Machine Learning Overview
Why Data Science and Machine Learning?
Datascientist processes data sets, finds new connections and patterns in them using machine learning algorithms, and builds models.
Machine Learning is a class of artificial intelligence methods that are characterized not by direct problem solving, but by learning to applying solutions to many similar problems.
Real Live work environment
Get feedback and guidance on your projects from experienced facilitators and mentors who are actively working in IT industry
Weekly soft skills sessions
Learn the most important interpersonal skills and collaboration skills which will help to improve your performance in the workplace
Instructors from Big Tech
Your mentors and instructors from FAANG companies will keep your learning on track and take your skills to the next level
Master the latest Data Science and Machine Learning tools
Linux
A family of Unix-like Linux kernel-based operating systems that include a set of utilities and software from the GNU Project.
SQL
SQL Tools is a development tool pack that provides many essential features for any Microsoft SQL Server and Azure SQL developer.
Python
High-level general purpose programming language with dynamic strict typing and automatic memory management.
Hadoop
A freely distributed set of utilities, libraries, and frameworks for developing and running distributed programs running on clusters of hundreds of of+ nodes.
Google Colab
Colaboratory, or “Colab” for short, is a product from Google Research. Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education.
Jenkins
Jenkins is one open-source tool to perform continuous integration and build automation. The basic functionality of Jenkins is to execute a predefined list of steps.
Course curriculum
1-2 months
- Class structures
- Data types
- Logical condition statements
- Loops
- Group Project
- Soft-skills
- Python
- Linux
- Statistics
3-4 months
- GIT
- Group Project
- Soft-skills
- SQL
- Data Visualization
- Machine Learning
5-6 months
- ML
- Big Data
- CI/CD
- Cloud
- Group Project
- Soft-skills
- Resume Review
- Mock interviewa
2 months, Mon-Fri,
Program Overview
- Intro to UX/UI Design
Resources
- Videos, workshops, projects
- Experienced Industry’s Instructors.
- Personal account with the course materials 24/7.
Curriculum
- Product Research
- Creating Persona
- Creating Wireframes
Tech Stack
2 months, Mon-Fri
Program Overview
- Creating prototypes for real-world Web Applications. (First Project).
- 120 hours of prototyping from scratch
- Resume and portfolio preparation
Resources
- Videos, workshops, projects
- Experienced Industry’s Instructors.
- Personal account with the course materials 24/7.
Curriculum
- Axure RP Pro
- HTML/CSS
Tech Stack
2 months, Mon-Fri
Program Overview
- Creating prototypes for real-world Web Applications. (First Project).
- 120 hours of prototyping from scratch
- Resume and portfolio preparation
Resources
- Videos, workshops, projects
- Experienced Industry’s Instructors.
- Personal account with the course materials 24/7.
Curriculum
- Axure RP Pro
- HTML/CSS
Tech Stack
Get a detailed curriculum and make your first step to IT industry!
Learn from the
top-notch experts
Our instructors are Engineers and Designers from top companies like Google, Apple, and Microsoft thus, they share the most cutting-edge coding skills. To be the best, you have to learn from the best.
Weekly Curriculum
SUN
Live class
8:00 pm - 11:00 pm CST
Get the most current knowledge from top experts in the world.
Mentorship session
2am-4am
The mentor will help you consolidate your knowledge and answer your questions
MON
Live class
8:00 pm - 11:00 pm CST
Get the most current knowledge from top experts in the world.
Mentorship session
2am-4am
The mentor will help you consolidate your knowledge and answer your questions
TUE
Live class
8:00 pm - 11:00 pm CST
Get the most current knowledge from top experts in the world.
Mentorship session
2am-4am
The mentor will help you consolidate your knowledge and answer your questions
WED
Soft skills
8:00 pm - 11:00 pm CST
Get the most current knowledge from top experts in the world.
Mentorship session
2am-4am
The mentor will help you consolidate your knowledge and answer your questions
THU
Live class
8:00 pm - 11:00 pm CST
Get the most current knowledge from top experts in the world.
Mentorship session
2am-4am
The mentor will help you consolidate your knowledge and answer your questions
Ready to get started with DevX School
Choose the package that is right for you.
VIP
$6400
- Watch recordings
- Access to VIP Slack Channels
- Attend live classes everyday
- One-on-one mentoring
- Resume Review
- Mock Interview
Income-Share Agreement (ISA)
$0/month
Study now, Pay after you get a job! *
*Only for Students with work Permission in the USA
VIP
$1333/month
- Watch recordings
- Access to VIP Slack Channels
- Attend live classes everyday
- One-on-one mentoring
- Resume Review
- Mock Interview
Income-Share Agreement (ISA)
$0/month
Study now, Pay after you get a job! *
*Only for students with work permission in the USA
What students say about us
Malika Malikova
SDET VIP Student
“The program was different from other boot camps. Instructors were very energized. We learned a lot of course and professional job related useful things. From the first class, I saw how they were trying to help me in my IT career.
Negus Collis
SDET VIP Student
“The structure and content of the course, the delivery style of all the incredible teachers, and the support I got from community was absolutely amazing.”
Tim Sears
SDET VIP Student
“I am learning new tools and technologies every day to stay always in demand. DevX develops absolutely all skills, which is very important for foreign companies.”
Timur Yunusov
SDET VIP Student
I realy like devx school. I met a lot of wonderful people there. The curriculum really well organized and we had lectures as well as a lot of practical lessons when we could practice ourskills and develop ourselves
Maryna Nesterenko
SDET VIP Student
“I like how everything is organized, the timing of the classes, and the instructors! The material we are learning is very interesting and it already helps me a lot at my job!”
Lukas Szraga
SDET VIP Student
Best instructors, best curriculum, and great people. It’s unbelievable how quickly you can change your life, just couldn’t believe in 6 months you can land a dream job.
Not only The knowledge, but also the result
DevX focuses on the result so that at the end of the course the Students can find a job and fulfill their potential
Soft Skills
Soft Skills is a set of skills that are important for interviews and a career in IT, such as communication in a team and with clients, a complete understanding of work in the IT industry and software development methodologies.
Mock Interview
We set up a few test interviews for you with real questions from DevX mentors, where we simulate a working environment and pump you up with behavioral questions that are asked in a real interview.
Preparation of an IT Resume
Our team of career mentors also help you build a strong resume/portfolio that will take you through all of the interview stages and dominate the rest of the candidates in the international job market.
Career Coaching
Career coaches will upgrade you in all aspects and prepare you for your IT profession, give advice and feedback where you can see your strengths and weaknesses and know how to improve your skills.
Not sure where to start?
Contact now for a free career consultation
- Discuss about your background, interests, and career goals
- Learn about our programs, payment options, and job assistance
- Get some tips about how to make a career change into tech
FAQs
Machine Learning is a field that consists of a whole set of methods that allow you to study and process data sets without human intervention. This is achieved using complex algorithms and methods such as regression, clustering, Bayesian method and more.
Data Scientist is a specialist who creates tools to solve business problems and to do this, he uses the skills of data analysis and building machine learning models.
Yes, data science is a very good career with huge opportunities for advancement in the future.
Because the Demand is already high, salaries are competitive, and perks are plentiful – that’s why LinkedIn named Data Scientist “most promising career” and Glassdoor “America’s best job”!
Data science can be used to gain knowledge about behavior and processes.
By writing algorithms that process large amounts of information quickly and efficiently, improve the security and privacy of sensitive data, and drive data-driven decision making.
They need to know math, statistics, programming, data management, visualization, and more to be a “complete” data scientist. As I mentioned earlier, “80% of the work goes into preparing the data for processing in the industry.”
Several data scientists have identified data analytics as a challenging career. So, if you’re considering pursuing data analytics and science as a career, it’s time for you to rethink and make an informed decision.
According to the US Bureau of Labor Statistics, the average salary for a data scientist is $100,560/year. The driving factor behind high salaries in data science is that organizations recognize the power of big data and want to use it to make smarter business decisions.
The machine learning library should be easy to use. Most of these libraries are free except ‘Rapid Miner’.
‘TensorFlow’ is more popular in machine learning, but has a learning curve.
‘Scikit-learn’ and ‘PyTorch’ are also popular tools for machine learning and both support the Python programming language. It is the most widely used language in the field of data science, it is used for data analysis, working code writing, model making, experiments, etc.
There is also data analysis in ‘R’: this language is more often used for statistical research, in econometrics. To work with data you also need SQL query language, it write queries to data sources and get the result in the desired format.
If the date scientist develops ML models at a low level, i.e. he, to be precise, ML Engineer – he will write in ‘C++’.
In fact, mathematics is very important. For example, it is necessary to understand how machine learning methods work, because often ML-methods are used for storing and processing input data of matrices, and matrices, linear equations and vector spaces – “all these are nothing but linear algebra.”