Data Science & Machine Learning
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36 Lessons
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3 Months (72 Hours)
A practical, industry-ready program covering the complete Data Science and Machine Learning pipeline — from data collection and cleaning to building, evaluating, and deploying AI-powered models for real-world applications.
Detailed Course Description
Unlock the power of data and intelligent technologies through practical learning and real-world applications. Our Data Science and Machine Learning program provides hands-on exposure to data analysis, visualization, predictive analytics, model development, pattern recognition, and AI-driven problem solving using modern tools and technologies. Participants will gain industry-relevant skills in building smart systems, interpreting complex data, and developing innovative solutions for applications across healthcare, automation, business analytics, and emerging technologies. - Data Science and Machine learning
Frequently Asked Questions
What you will learn
This course is packed with practical, hands-on learning. By the end of the program, you will have the skills, tools, and portfolio projects needed to launch or advance your career in Data Science and Machine Learning. Here is what you will master:
Write clean, efficient Python code for data manipulation and automation
Collect, clean, and preprocess raw datasets for analysis and modelling
Perform Exploratory Data Analysis (EDA) and create insightful visualisations
Understand and apply core statistical concepts used in data science
Build regression, classification, and clustering models using Scikit-Learn
Evaluate and optimise ML models using cross-validation, hyperparameter tuning, and metrics
Develop Neural Networks and Deep Learning models using TensorFlow and Keras
Apply Natural Language Processing (NLP) techniques for text-based data problems
Deploy machine learning models using Flask APIs and cloud platforms
Build a complete end-to-end data science project for your professional portfolio
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