Online/ e-LMS
Mentor Based
Moderate
6 Weeks
About
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
Participant’s Eligibility
- 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
Fee: INR 16,499 USD 207
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Key Takeaways
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
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