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Learn how to analyze data, generate insights, and work with real-world datasets using Python.
PART-1: Python for Data Analytics (5 Sessions)
▶Session-1: Python Basics for Data Analytics
▶ Session-2: Python Control Flow for Analytics
▶Session-3: Python Functions for Automation Session-3: Functions for Automation Framework
▶Session-4: Python Data Structures for Data Analytics
▶Session-5: File Handling for Data Analytics
PART-2: Data Handling \& Processing (5 Sessions)
▶Session-6: NumPy for Data Processing
▶Session-7: Pandas Basics
▶Session-8: Pandas Advanced Data Processing
▶Session-9: Data Cleaning Techniques
▶Session-10: Automated Data Processing Framework
PART-3: SQL for Data Analytics (5 Sessions)
▶Session-11: SQL Basics for Analytics
▶Session-12: SQL Filtering & Aggregation
▶Session-13: SQL Joins for Business Analysis
▶ Session-14: Advanced SQL for Analytics
▶Session-15: SQL Automation using Python
PART-4: Data Visualization \& Dashboard (5 Sessions)
▶Session-16: Data Visualization Fundamentals
▶Session-17: Visualization using Python
▶Session-18: Advanced Visualization using Seaborn
▶Session-19: Interactive Dashboard using Power BI / Tableau
▶Session-20: Automated Dashboard Integration
PART-5: END-TO-END DATA ANALYTICS PROJECT (5 Sessions)
▶Session-21: Project Introduction & Environment Setup
▶Session-22: Data Collection & Data Preparation
▶Session-23: Data Analysis & Insights Generation
▶Session-24: Dashboard Development & Automation
Key Outcomes After Training: Candidates will be able to:
▶Perform complete Data Analysis using Python & SQL
▶Automate Data Analytics workflows
▶Build professional dashboards
▶Work with Excel, Database, Cloud data
▶Generate automated reports
▶Work on real-time analytics projects
▶Become Job-Ready Data Analyst
With 18 years of experience in the IT industry, our team of experts has established itself as a trusted authority in trending technologies.
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