Data Science Academy
Tableau Masterclass Pre-Registration for the Jan 2025 intake is now open open to all for applications. Both English and Sinhala are available as languages of teaching.
Student Projects Showcase
Minal Abeyasekara
Movie Insights Analysis
Ashique Ahamed
Global tuberculosis (TB) burden
Ranudi
World Cup Analysis
Fathima Afra
World Cup Analysis
Our Courses
Our courses are designed to get you started from the ground up. Modes of teaching at the moment will be held in either English or Sinhala based on your preference
Foundations of Data Science
An introduction to the core principles of data science. Understand the methodology, tools, and techniques behind effective data analysis.
Machine Learning Algorithms
Deep dive into machine learning, exploring algorithms, neural networks, and their practical applications in todays industries.
Data Visualization Techniques
Learn the art and science of transforming raw data into visual stories, enabling clearer insights and informed decision-making.
Big Data Technologies
Unlock the potential of big data. Familiarize yourself with technologies like Hadoop and Spark to manage large datasets efficiently.
Statistical Analysis
Harness the power of statistics. Dive into probability, hypothesis testing, regression models, and more.
Capstone Projects & Real-world Applications
Apply your knowledge to real-world scenarios. Work on capstone projects, analyze actual data sets, and get a feel for the life of a data scientist.
Foundation
- Week 1-2
- Week 3-4
Introduction to Data Science
Learning Python Basics
Data Manipulation with Pandas
Data Visualization
Speciality
- Week 5-6
- Week 7-8
- Week 9-10
- Week 11-12
Foundations of Predictive Analytics
Regression Models in DS
Performance Metrics in DS
Databases in Data Science
Your Journey to Acing Data Science
Step 1: Fundamental Knowledge
Start by building a solid foundation. Dive into the basics of statistics, programming, and domain-specific knowledge essential for data analysis and interpretation.
Step 2: Practical Application
Transition from theory to practice. Engage in hands-on projects, utilize real-world datasets, and get comfortable with essential data science tools and platforms.
Step 3: Advanced Specialization
Focus on your area of interest. Whether it is deep learning, big data technologies, or another niche, dive deep and refine your expertise to stand out in the field.
Achievement: Pro Data Scientist
Upon mastering these steps, you will have transformed into a competent and industry-ready data scientist. The world of data awaits your expertise!
Instructors
Our panel compprises of highly qualified individuals that are specialized in their respective domains. They have experience on national scale projects and always love a good question or two
What our students say about us
Frequently Asked Questions
Answers to some common questions regarding our Data Science course. If you have more queries, feel free to get in touch.
Who is this course designed for?
What is the mode of teaching?
How long is the course duration?
Will I get a certificate upon completion?
Who are the instructors for this course?
Is there any post-course support?
Ready to get started? 🚀
First 7 sign ups to get 10% off
