AED
UAD Dirham
Code: AED
Mentor Based
Data Science and AI for Beginners
For Beginners, students, and data enthusiasts
Early access to the e-LMS platform is 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: ₹16499 | $207
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- One-on-one project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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