Data Science and AI for Beginners
For Beginners, students, and data enthusiasts
Early access to e-LMS included
About This Course
The Data Science and AI for Beginners course introduces key concepts of data science and artificial intelligence, perfect for those just starting out. Over 6 weeks, you’ll learn how to handle data, understand machine learning basics, and use industry-standard AI tools. With no prior experience required, this program gives participants hands-on experience, ensuring a strong foundation in AI and data analysis.
By the end of this course, you’ll know how to work with data, apply AI techniques, and make informed, data-driven decisions.
Program Structure
Module 1: Introduction to Data Science (2 Weeks)
- Overview of data science and its role in AI
- Key techniques in data collection, cleaning, and analysis
- Structured vs. unstructured data explained
- Introduction to Python for data handling
- Hands-on project: Clean and explore a dataset
Module 2: Fundamentals of Machine Learning (2 Weeks)
- Supervised vs. unsupervised learning
- Key algorithms: Decision Trees, K-Nearest Neighbors, Linear Regression
- Using Scikit-learn to build machine learning models
- Evaluating model performance: metrics and error measurement
- Hands-on project: Predict housing prices using machine learning
Module 3: Core AI Tools – Pandas, NumPy, and Matplotlib (2 Weeks)
- Using Pandas for data manipulation
- NumPy for numerical computing and arrays
- Data visualization with Matplotlib: charts, graphs, and plots
- Hands-on project: Create a visual data report for business insights
Who Should Enrol?
- Beginners who are curious about data science and AI.
- Students looking to learn basic data handling and machine learning.
- Anyone interested in understanding how data is analyzed and used in AI applications.
- Data enthusiasts who want hands-on experience with Python and AI tools.
Program Outcomes
Upon completing the course, you will:
- Understand key data science concepts.
- Be able to clean, process, and visualize data using Python tools like Pandas, NumPy, and Matplotlib.
- Know basic machine learning techniques and how to build predictive models.
- Have practical experience applying AI techniques to real-world problems.
- Be ready to explore advanced AI and machine learning courses.
Fee Structure
Discounted: ₹16,499 | $207
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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