Data Science and AI for Beginners

For Beginners, students, and data enthusiasts

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
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

Standard Fee: INR ~~13,998~~ USD ~~198~~

Discounted Fee: INR 6999 USD 99

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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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

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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