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The Smartest Choice
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in Data & Cloud
Learn Data Science and Cloud Computing with real-world projects, expert mentors, and career-focused training.



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Ray Sanchez
Landed a dream internship at Google

ABOUT US
Who We Are
At Yugal Tech Academy, we believe in turning potential into performance. Since our founding in 2020, we've been dedicated to equipping individuals and organizations with the skills and solutions needed to thrive in the digital age. Whether you're preparing for the future of work or transforming your business with emerging technologies, we’re here to empower you.
- Proven Expertise
- Learner-Centric Philosophy
- Results-Driven
- Ethical & Sustainable
TESTIMONIALS
What Our Students Have To Say
Our learners’ success stories inspire everything we do. From appreciating our expert mentors to highlighting the real-world projects and career support we provide, their feedback matters the most. Every suggestion helps us improve and create an even better learning experience in Data Science and Cloud Computing.

I recently completed the Data Science Certification and it completely transformed my career trajectory. The course was comprehensive, with modules covering everything from Python programming to machine learning algorithms.
Sarah Thompson
Data Scientist
As someone with a background in IT, I wanted to transition into cybersecurity, and this course was exactly what I needed. It provided a solid foundation in network security, threat analysis, and ethical hacking.
Olivia Williams
Cybersecurity Analyst
The course content was structured in a clear and practical way, and the hands-on labs gave me the confidence to work with real-world cloud environments. I now work as a Cloud Computing Engineer at GlobalTech Security.
James Lee
Cloud Computing Engineer
I learned Python, data cleaning, and basic machine learning algorithms, which helped me land my first job as a Junior Data Scientist at DataTech Labs. This course is perfect for anyone who is just starting their data science journey
Ethan Rodriguez
Jr. Data Scientist
After completing the Advanced Data Science Program, I gained a deeper understanding of statistical analysis, machine learning, and data visualization. The course material was challenging but rewarding, and the instructors were experts in their field.
Mark Anderson
AI Engineer








FAQ’S
Over 5 Years in Distributed Workforce Development.
1. What is the Data Science Program you offer?
Our Data Science Program is a comprehensive curriculum designed to equip learners with the essential skills and tools in data analysis, machine learning, statistical modeling, data visualization, and more. We combine theory and hands-on projects to ensure you gain practical experience.
2. Who is this program for?
This program is ideal for:
- Beginners who want to enter data science from scratch
- Working professionals seeking to upskill or transition into data roles
Students or graduates who want to improve their job readiness in data-centric roles
3. What are the prerequisites?
To get the most out of the program, it's helpful if you have:
- Basic understanding of mathematics (especially statistics and linear algebra)
- Familiarity with programming (Python or R preferred)
- Curiosity and willingness to practice on real data
4. What topics are covered in the curriculum?
Some of the topics you will learn include:
- Data manipulation and cleaning
- Exploratory data analysis (EDA)
- Statistical inference
- Machine learning (supervised & unsupervised)
- Deep learning basics
- Data visualization and dashboarding
- Big data tools (e.g. Hadoop, Spark)
Deployment and productionization of models
5. What is the mode of delivery?
We offer a mix of:
- Live/interactive online lectures
- Pre-recorded video lessons
- Hands-on assignments and real-world data projects
- Mentor feedback and peer collaboration
Optional in-person workshops (if available in your region)
6. Will there be real projects?
Yes—one of our core features: you will work on real-world, industry-relevant datasets. There is also a capstone project which simulates a real data science workflow from problem definition to model deployment.
7. Do I get a certificate after completion?
Yes, after successfully completing the program and fulfilling all requirements (assignments, projects, attendance), you’ll receive a certificate that you can share with employers or on your professional network.
8. What job outcomes can I expect?
Graduates of the program have gone on to roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Specialist, Data Engineer, etc. We help with resume review, interview prep, and often have guest sessions from industry practitioners.

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