Certification IN DATA ANALYTICS ( S-22 )

Module 1: Introduction to Data Analytics

• What is Data Analytics?
• Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
• Role of Data Analytics in AI and Business Intelligence
• Tools & Technologies in Data Analytics

Module 2: Python for Data Analytics

• Introduction to Python
• Python Libraries for Data Analytics: Pandas, NumPy, Matplotlib, Seaborn
• Data Cleaning and Manipulation
• Exploratory Data Analysis (EDA)
• Handling Missing Data and Outliers

Module 3: SQL for Data Analytics

• Basics of Databases & SQL
• SQL Queries: SELECT, WHERE, GROUP BY, ORDER BY
• Joins (Inner, Outer, Left, Right)
• Subqueries & Common Table Expressions (CTEs)
• Window Functions & Aggregations
• SQL Optimization Techniques

 Module 4: Data Visualization with Tableau & Power BI

 Tableau

• Introduction to Tableau
• Connecting to Data Sources
• Creating Dashboards & Interactive Reports
• Filters, Parameters, and Calculations
• Advanced Chart Types

 Power BI

• Introduction to Power BI
• Data Modeling and DAX Functions
• Creating Visualizations & Custom Reports
• Power BI Service & Data Refresh

Module 5: Java for Data Processing

• Introduction to Java for Data Analytics
• Handling Data with Java Collections (Lists, Maps, Sets)
• Java Database Connectivity (JDBC)
• File Handling & Data Processing in Java
• Data APIs in Java (Jackson, Gson, Apache POI)

Module 6: Machine Learning & AI for Data Analytics

• Introduction to AI & Machine Learning
• Supervised vs. Unsupervised Learning
• Feature Engineering & Data Preprocessing
• Implementing ML Models in Python (Scikit-Learn)
• Neural Networks & Deep Learning Basics (TensorFlow, Keras)
• AI-Powered Data Analytics Use Cases

Educational Qualification:

• For Certificate & Diploma Courses: 10+2 (Higher Secondary) or Equivalent
• For Undergraduate Programs (B.Sc/BCA in Data Analytics, CS, IT): 10+2 with Mathematics/Computer Science
• For Postgraduate Programs (M.Sc/MCA/MBA in Data Analytics): Bachelor's Degree in a relevant field

Programming Knowledge (Recommended but Not Mandatory):

• Basics of Python, SQL, or Java is helpful
• Logical Thinking & Problem-Solving Skills

 Technical Requirements (for Online Courses):

• Laptop/PC with a Stable Internet Connection
• Minimum 4GB RAM (8GB Recommended)