01
Data Science & AI Foundations
Understanding data science fundamentals, statistical concepts, AI applications and data-driven decision-making.
Technology & IT Programs
Data Science & AI
- Duration
- 3 Months
- Format
- Live Online
- Skill Level
- Beginner to Intermediate
Course Details
- PaymentFlexible payment options
- Core SkillsExcel, SQL, Python, Power BI, Tableau, Machine Learning, Predictive Analytics & Gen AI
- PrerequisitesOpen to all background levels; no coding or technical experience required.
- BatchesWeekend batches available
About the course
The Data Science & AI Professional Certificate Course at My Value Academy (MVA) is conducted by experts with international exposure. Online classes are aligned with task-based projects. The student gets globally recognized certification from Singapore, known for its credibility. The program is designed to develop skills in data analysis, programming, machine learning and artificial intelligence. It introduces learners to essential tools and techniques for transforming raw data into meaningful insights, building predictive models and understanding AI-driven solutions for real-world business challenges.
Why is it needed?
Organisations increasingly rely on data to understand customer behaviour, improve operations and make informed business decisions. At the same time, artificial intelligence and machine learning are transforming how businesses analyse information, automate tasks and identify patterns. Professionals with skills in data analytics, visualisation and AI can contribute to data-driven decision-making and explore emerging opportunities across industries.
What the course covers
02
Business Intelligence
Analysing data using Microsoft Excel and SQL, and presenting insights through Power BI, Tableau and data storytelling.
03
Python Programming & Machine Learning
Learning Python fundamentals, data analysis, machine learning concepts and predictive analytics.
04
Generative AI
Exploring large language models, prompt engineering, generative AI applications and responsible AI practices.
Course outcomes
By the end of the course, you will be able to:
Analyse and organise data using Excel, SQL and Python.
Create visualisations and communicate insights using Power BI and Tableau.
Understand machine learning concepts and predictive analytics.
Apply generative AI and prompt engineering to practical tasks.
Use data-driven approaches to solve business problems.
Career opportunities
Data Analyst Business Intelligence Analyst Business Analyst Reporting Analyst Junior Data Scientist Machine Learning Associate AI & Data Analytics Associate Marketing Analyst
Course FAQ
Explore how data science, machine learning and AI work together to turn raw data into meaningful insights. Learn to analyse data, build predictive models and understand practical AI applications.
The programme runs for three months through live online sessions, providing a structured introduction to data science, analytics and AI applications.
No prior coding or technical experience is required. The programme is designed for beginners and learners from different educational and professional backgrounds.
Explore Excel, SQL, Python, Power BI, Tableau, machine learning, predictive analytics, Generative AI and prompt engineering.
The programme covers data analysis, data visualisation, predictive analytics and the use of Generative AI and prompt engineering for practical tasks and business problem-solving.
Build skills relevant to roles such as Data Analyst, Business Intelligence Analyst, Business Analyst, Reporting Analyst, Junior Data Scientist and AI & Data Analytics Associate.
Yes, the programme is suitable for working professionals looking to develop data analysis and AI skills alongside their existing responsibilities.
Weekend batches are available for this programme.