Features
- Industry-relevant curriculum
- Hands-on projects and case studies
- Practical exposure to real-world problems
- Structured learning from basics to advanced concepts
- Career-focused skill development
- Strong foundation in Data Science, AI & ML
- Practical experience with real datasets
- Ability to build, evaluate, and deploy models
In today’s data-driven world, organizations rely on intelligent systems to make faster, smarter decisions. Our Data Science with Artificial Intelligence & Machine Learning course is designed to equip learners with industry-relevant skills, hands-on experience, and real-world problem-solving capabilities required to succeed in high-demand roles across industries.
This comprehensive program blends statistics, programming, data analysis, machine learning, and AI concepts into a structured learning journey—from fundamentals to advanced applications.
What You Will Learn
By the end of this course, you will be able to:
- Understanding Data Science lifecycle and real-world use cases
- Types of data: structured, semi-structured, and unstructured
- Data collection, cleaning, and preprocessing techniques
- Exploratory Data Analysis (EDA) for insights and trends
Programming for Data Science
- Python programming essentials for data analysis
- Working with libraries like NumPy, Pandas, and Matplotlib
- Data manipulation, transformation, and visualization
- Writing efficient, readable, and scalable code
Statistics & Mathematics for Data Science
- Descriptive and inferential statistics
- Probability concepts and distributions
- Hypothesis testing and confidence intervals
- Linear algebra and calculus essentials for ML
Lessons:
