Build in Data 90
Unleash your data engineering potential
Embark on a dynamic 3-month journey with Build in Data 90, an immersive program curated by Datadhyay Learning Inc.
Live Client Project | Cohort-based
Program Highlights
Gain real client project experience
During the program you will consult as a data engineer with a Canadian client, acquire a reference and add the experience and project you work on to your resume and portfolio.
Grow confident in your skills
You will apply your hard learned skills and gain confidence in building market-ready data products with front-end and back-end functionality.
Get mentored into your first data engineering job
We will train you in the language and culture of a data engineering team and how to share your experience confidently in HR or technical interviews.
Revolutionize Your Learning Experience
Say goodbye to outdated slides and monotonous lectures. At Datadhyay, we’re brutally honest and radically different. We believe in learning through real-world application, not spoon-fed problems.
This isn’t about a magical transformation into a data scientist in six months. We won’t sugarcoat it, this is about solving messy, complex and vague problems that you encounter in the real world.
What we promise is practical experience you can confidently discuss in interviews.
Break the Cycle of 'No Experience = No Job'
We don’t just talk the talk. We back it up by offering you a volunteer consultant role in a live data project.
Leave with a tangible addition to your portfolio- proof of hands-on experience in building data pipelines using Python, SQL and AWS cloud.
How will it help me get hired?
This program is for you, if
- You have tried Coursera, Udemy or have learned coding in school but you lack experience to get hired in data.
- Your applications for entry level data engineer roles are getting no responses from companies.
- You lack the confidence and jargon to prove to potential employers that you are the right person for the job.
What will you achieve in 3 months?
Build a data product
Collaborate with a Canadian client contributing to a market-ready data product with front-end and back-end functionality.
Boost your resume
Consult as a data engineer and add real projects to your portfolio.
Learn AWS & Cloud Tech
Gain practical engineering expertise in Python and SQL, supporting ETL processes in the AWS cloud.
Handle Project Ownership
Master end-to-end project roles, collaborate as a team via daily-standups and weekly check-ins, and peer reviews.
Mentorship and support
Experience personalized growth with a small cohort, 1-on-1 mentorship, tailored resume support, and interview guidance.
Develop Data-soft skills
Learn the language and culture of a data engineering team. Ace HR and tech interviews with finesse.
Master the Tools that Matter
- PostgreSQL
- Python
- AWS Lambda
- AWS API Gateway
- AWS RDS
- AWS Secrets Manager
- AWS S3
- AWS IAM
- Github
- Miro
- Bubble
- ChatGPT
Who is this program designed for?
Student
Currently in a bachelor’s, master’s or diploma course.
Engineering or analytics background preferred.
Solid foundation in Python programming and SQL.
Graduate
Graduated recently from a bachelor’s, master’s or diploma course.
Engineering or analytics background preferred.
Solid foundation in Python programming and SQL.
Data Professional (<3 years exp.)
Less than 3 years of experience looking to advance in their career.
Looking to move into a career in data engineering.
Solid foundation in Python programming and SQL
Your Journey
Dive into our detailed curriculum, brush up your skills with the resource library, and share your intro with the team – because fun facts matter!
Meet the team at program launch day, understand program procedures, and get an overview of current projects and required deliverables. Familiarize yourself with the AWS infrastructure and tech stack.
Ramp up critical knowledge gaps before development begins, set up project charters, translate business requirements, and test proposed architectures.
Learn to build front-end user stories and wireframes, create core UI/UX features, and integrate AWS data processing services. Run iterative tests to ensure optimal outcomes.
Share your masterpiece with end-users for testing and feedback. Incorporate enhancements based on their valuable input. Await final approval for deployment.
Prepare your code for deployment, run live tests with end-users, and monitor usage, tracking errors/bugs.
Document your solution comprehensively, resume and LinkedIn overhaul, and interview coaching.
Meet the Program Director
Ruvi Raghavan
CEO
Ruvi Raghavan is a seasoned Data Engineering & Analytics professional with over a decade of experience, specializing in the development of award-winning data products and the establishment of enterprise-level data infrastructure. In his previous role as the Director of Delivery Engineering at StellarAlgo, Ruvi led successful data-driven initiatives in Sports-tech.
Previously, as Head of Data at Supernova he set up their data stack prior to which he managed data and product teams in Mediacorp, Singapore’s national broadcaster. He started his career in business analytics at IBM, and has helmed various roles in data including engineering, business intelligence, and web analytics. With expertise in greenfield projects, he is known in his circles for ‘putting business first’. Ruvi’s extensive background in data engineering, analytics, and leadership positions led him to create this program to train the next-generation of data leaders.
Still unsure? Seems too risky?
We will take the risk!
We offer 100% money -back guarantee for the first 3 weeks of the program.
Try the program for 3 weeks and THEN decide if it is right for you. If you decide it is not, just tell us why and get a full refund.
Ready to experience live data projects?
Frequently Asked Questions
This is an entry-level data engineer career focused program that trains you while you build a market-ready data product in 90 days and gain real work experience. This is not an instructional step-by-step course to learn data engineering or its tools i.e. python, sql etc.
This program isn’t tailored for two specific groups: 1) data professionals with over 2 years of experience, and 2) students unfamiliar with SQL and Python. For optimal benefits, we recommend individuals who already possess the basics of SQL and Python, yet have less than 2 years of experience. If you’re eager to expand your project portfolio by tackling real business challenges, this program is designed to cater to your needs.
This program is more suited for engineers due to it’s emphasis on building data products. Our approach involves equipping you with a blend of programming skills surpassing the average data analyst and business acumen exceeding that of the typical engineer, ensuring you stand out in the competitive landscape.
If you cancel within 3 weeks of program launch date you are entitled to a full refund of the paid amount. We offer a 100% money-back guarantee within that period for you to try the program risk-free.
This program although intensive is very much curated to fit into your busy schedule with full-time engagements elsewhere. We recommend allocating 20 hours a week of work for a period of 3 months.
There are 3 types of live sessions.
- Daily standups, update meetings, group and pair programming sessions.
- Live learning sessions to walk through relevant concepts and problems.
- Ask-me-anything sessions and career transformation sessions.
The timings are from 6pm-9pm Eastern Time from Monday to Friday.
We understand that everyone might not be able to make it every day for these many hours- whatever you miss shall be available as a recording.
We strongly prefer and recommend that you attend the daily standup meetings every day to catch up with the team.
We advise planning ahead and allocating time for live sessions. In instances where this is not feasible, rest assured that you will receive the complete recording and workshop materials to ensure you don’t miss out on anything.
We place little emphasis on certifications because this isn’t just another course. In the real world, results matter, and achieving them requires substantial experience which you will gain here. Upon successfully completing this program, you will receive an experience letter, recognizing the practical skills gained throughout the journey.
We will also help you if you need to provide references during your job search with our personalized assessment of what you have achieved during your time with us.
