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EVERYTHING YOU NEED TO SUCCEED
Get the best blend of online learning, in-class support, and affordability to make it easy to start today and finish strong
START BUILDING YOUR CODING PORTFOLIO
Learn better by doing. In addition to the weekly labs and techncial interview prep, you will be working on your own coding projects you can add to your portfolio.
INSTRUCTOR-LED EXPERIENCE
You’re not alone. Each class is limited to a maximum of 25 students and a dedicated instructor who is a passionate, industry veteran.
UNIQUE CLASSROOM EXPERIENCE
Attend all your sessions in an e-learning environment, significant cost-savings we pass on to you.
INDUSTRY CURATED CURRICULUM
Build confidence knowing course content was designed by industry-experienced Data Scientists based on the most in-demand technology stack.
WEEKLY INTERVIEW PREP
We believe technical interviews demand weekly prep. They may seem intimidating initially, but like all things, the more you do them, the better you get.
CAREER & JOB PLACEMENT SERVICES
Get 1:1 career coaching, access to an exclusive job board and career development course, and hands-on help with your resume and LinkedIn recommendations.
OUR TECHNOLOGY STACK
DATA MINING
XPlenty, Rapid miner, Weka
DATA CLEANING
Open Refine, Pandas
DATA VISUALIZATION
Matplotlib, Plotly, Seborn
DATABASES
PostgreSQL, SQLite
VERSION CONTROL
Git (Terminal bases)
DEPLOYMENT
Cloud (Azure), Heroku
MATHEMATICAL COMPUTING
Linear Algebra,stats models Statistics, Probability
PYTHON FROM SCRATCH
Python basics, data structures . Libraries such as NumPy, Scipy and Pandas
MACHINE LEARNING AND ARTIFICIAL LEARNING ALGO'S
Scikit-Learn (Classification, Regression, Clustering), Tensor flow and Keras
DEBUGGING
pdb module(Python debugger)
QUALITY ASSURANCE
Unit testing
PROJECTS AND CAPSTONE
SATURDAY
DOWNLOAD THE SYLLABUS TO GAIN INSIGHT INTO OUR NANO DEGREE
Learn about Data Mastery's full-stack program and see how we build industry-ready Data Scientists.
TUESDAY & THURSDAY
FUNDAMENTALS
Every master was once a beginner. The road to mastery begins by working on honing your fundamental skills. At Data Mastery , our curriculum starts by helping you to develop strong foundations in Python, Mathematics, and Statistics for Data Science.
TUESDAY & THURSDAY
You will have live lectures on Tuesday & Thursday from 8 PM EST - 9:30 PM EST. These will be taught by an industry veteran in a maximum class size of 25 students. These will be focused and extremely interactive classes that get you ready for your weekly lab and monthly projects. Your instructor will also hold weekly office hours to help you with any questions you may have.
SATURDAY
Every Saturday from 11 AM EST - 1 PM EST , you will get together with your lab group for 2-hours and complete weekly lab exercises that will help you conceptualize the week’s lectures and get you ready for your monthly projects. These lab sessions will be led by a lab instructor who will be doing a demo at the start of each lab and be there for any questions you may have.
OTHER WEEKS DAYS
Use these days to review all of the material from the week , Practice your weekly exercises and note any questions you may have for the next class
PROJECTS AND CAPSTONE
In the next decade, we will need billions and billions of data scientists than we currently have. That's why the surest way to impress prospective employers and get job offers is to demonstrate your skills on real-world projects.
You will be working on monthly projects that will be both interesting and demanding so that you can add them to your portfolio.
Finally, in the last two months of the programme, work on your capstone project with 2-3 of your peers to demonstrate your data science competence. This will be the final piece of the puzzle before you receive your nanodegree from Data Mastery.
NEXT COHORT:
April 3rd, 2023
Apply before April 3rd and be sure to take our optional fundamentals course to help you build an awesome base of knowledge.
TUITION
We are a non-profit organization with a mission to build anyone into an industry-ready developer. Our tuition cost aligns with that
You can enroll for CAD $1000
