Data Analytics Online Training

1. Introduction to Data Analytics • Overview of data analytics and its importance in various industries • Introduction to SQL, Tableau, Power BI, and Advanced Excel 2. SQL Fundamentals • Introduction to databases and SQL • Basic SQL queries (SELECT, WHERE, ORDER BY, etc.) • Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN) • Aggregation functions (COUNT, SUM, AVG, MAX, MIN) • Subqueries and nested queries 3. Advanced SQL Topics • Working with multiple tables • SQL functions (STRING functions, DATE functions, etc.) • Indexes and performance optimization • Views and stored procedures 4. Tableau Basics • Introduction to Tableau and its interface • Connecting to data sources (Excel, CSV, databases) • Building basic visualizations (bar charts, line charts, pie charts) • Filters, parameters, and calculated fields • Creating dashboards and stories 5. Tableau Advanced Topics • Mapping and geospatial analysis • Advanced calculations and LOD expressions (Level of Detail) • Tableau Server and Tableau Online overview • Integrating Tableau with other tools and platforms 6. Power BI Fundamentals • Introduction to Power BI and its components (Power Query, Power Pivot, Power View, Power Map) • Connecting to data sources and data transformation • Building visualizations (matrix, cards, slicers) • Creating relationships between tables • DAX (Data Analysis Expressions) basics 7. Power BI Advanced Topics • Advanced DAX functions (CALCULATE, FILTER, etc.) • Power BI Service overview (publishing, sharing, collaboration) • Power BI integration with Excel and other Microsoft tools • Power BI mobile app and dashboard sharing 8. Advanced Excel Techniques for Data Analysis • Data cleaning and preparation in Excel • Using pivot tables and pivot charts • Excel functions for data analysis (VLOOKUP, INDEX/MATCH, IF statements) • Macros and automation in Excel • Data visualization techniques in Excel 9. Case Studies and Practical Projects • Real-world examples and case studies using SQL, Tableau, Power BI, and Excel • Walkthroughs of how to solve common business problems using these tools • Tips and best practices for effective data analysis and visualization 10. Tips for Career Growth in Data Analytics • Building a portfolio of projects • Networking and community involvement in the data analytics field • Skills and certifications to consider 11. Q&A Sessions and Troubleshooting • Addressing common issues and challenges faced by learners • Answering questions from viewers and providing additional guidance For more Training details & Updates Please join our DATA Analytics Community https://chat.whatsapp.com/FWXF4XFVmwh8TAuFKIJ5Qg Telegram link: https://t.me/dataanalyticstrainings For more information, please reach us ✉: [email protected] 📞 +91 9632960846, 7975700923