Who can participate?
The Data Science & Artificial Intelligence course is designed to equip learners with in-demand skills for analyzing data, building intelligent systems, and making data-driven decisions across industries. This program combines practical data analysis techniques with modern AI and machine learning concepts to prepare students for real-world applications.
Participants will learn how to collect, clean, analyze, and visualize data using industry-standard tools, as well as how to develop predictive models and intelligent algorithms. The course emphasizes hands-on projects, real datasets, and problem-solving skills relevant to business, healthcare, finance, technology, and research.
By the end of the program, students will have a strong foundation in data science principles, machine learning, and AI tools, enabling them to pursue careers such as Data Analyst, Data Scientist, Machine Learning Engineer, or AI Specialist.
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What is Data Science?
Understanding Artificial Intelligence
Applications of Data Science & AI
Career opportunities in Data & AI
Python basics and syntax
Working with data using NumPy & Pandas
Writing simple scripts for data analysis
Data sources and data types
Handling missing and incorrect data
Data preprocessing techniques
Descriptive statistics
Probability concepts
Introduction to linear algebra for data science
Data storytelling and insights
Using visualization tools (Matplotlib / Seaborn)
Introduction to machine learning
Supervised vs unsupervised learning
Model training and evaluation
Introduction to AI systems
Neural networks basics
AI ethics and responsible AI
Working with real datasets
Building end-to-end projects
Presenting data-driven solutions
Building a data science portfolio
CV and interview preparation
Freelancing and job opportunities
