• Duration: 3 months
• Credits Required: 12-15
• Mode: Online, Hybrid, or In-Person

Course Modules:

Month 1: Fundamentals of Data Science

1. Introduction to Data Science and AI
• Understanding data science applications in various industries.
• Basics of machine learning, big data, and AI-driven analytics.
2. Programming for Data Science
• Python for data analysis, visualization, and automation.
• SQL for database management and querying.

Month 2: Data Analytics and Machine Learning Basics

3. Data Wrangling and Preprocessing
• Data cleaning, handling missing values, and feature engineering.
• Exploratory data analysis (EDA) using Pandas and Matplotlib.
4. Supervised and Unsupervised Machine Learning
• Regression, classification, and clustering techniques.
• AI-powered predictive analytics and model training.

Month 3: Hands-On Data Science and Project Work

5. Big Data Analytics and Cloud Computing
• Introduction to Hadoop, Spark, and cloud-based data science solutions.
• Using AWS, Google Cloud, or Microsoft Azure for big data processing.
6. Capstone Data Science Project
• Hands-on project using real-world datasets to create predictive models.

Career Opportunities After Completing the Certificate:

📊 Data Analyst (Entry-Level)
📊 Business Intelligence Analyst
📊 Machine Learning Assistant
📊 Data Visualization Specialist

This Certificate in Data Science is ideal for individuals looking to gain practical data science skills in a short time. 🚀📊