Master Advance Excel with 24+ sub-modules, from dynamic formulas to interactive dashboards. Unlock powerful data analysis, visualization, and automation skills for corporate success! · Master Advanced Formulas: Learn SUMIFS, SUMPRODUCT, INDEX, MATCH, VLOOKUP, and dynamic formula creation for complex data analysis. · Data Management & Validation: Explore data types, Date/Time functions, logical functions (IF, AND, OR), and advanced validation techniques. · Dynamic Reporting Tools: Use Pivot Tables, Pivot Charts, Name Manager, Offset, and Indirect for efficient, dynamic templates and reports. · Visualization & Interactivity: Create interactive graphs (Column, Pie, Line, Bar) and use Form Controls (Combo Box, List Box, Buttons). · Efficiency Techniques: Understand array functions, absolute/mixed references, and tools like Freeze Pane, Text to Column, and Camera Tool. · Data Analysis & Insights: Perform percentage/growth analysis, use database functions (DSum, Dmax), and analyze terms like MTD, YTD, QTD. · Productivity Boosters: Leverage Quick Access Toolbar, sheet/workbook protection, filters, sorting, and hyperlinking for user manuals. · Corporate Applications: Gain skills in Excel hierarchy (Workbook, Worksheet, Cells), operators, and automation for corporate data tasks. Project: Building a Dynamic Sales Dashboard  · Learn to create a dynamic dashboard on sales data using Offset, Name Manager, Form Controls, Graphs, Tables, and key Excel functions. This Management Information System (MIS) empowers users with a high-level business overview, enabling swift, informed decision-making for efficient and effective organizational management.

Transform data into insights with Power BI’s 9+ sub-modules and interactive dashboards. Master visualizations, DAX, and live projects to drive business decisions with confidence! · Introduction to Power BI: Understand Power BI’s workflow, benefits, and components, including Power BI Desktop, Services, and Mobile Apps, with installation and setup. · Data Connection & Transformation: Master data connectors, Query Editor, and tools for shaping data (text, numbers, dates) for analysis-ready formats. · Data Modeling & Relationships: Learn data modeling, normalization, Star/Snowflake schemas, and manage relationships (Primary/Foreign Keys, Cardinality, Active/Inactive). · DAX for Analysis: Use Data Analysis Expressions (DAX) to create calculated columns, measures, and apply aggregation, logical, and date functions. · Interactive Visualizations: Build and customize visuals, dashboards, and reports with drill-downs, marketplace visuals (Word Cloud, Shape Map), and Row-Level Security. · Data Exploration & Insights: Leverage Power BI Service for quick insights, natural language queries, and full-screen dashboards for organizational sharing. · Publishing & Collaboration: Publish reports, manage content packs, schedule data refreshes, and share via Power BI Workspace with usage metrics and subscriptions. Real-World Applications: Apply skills in 3-4 live projects on Sales, HR, and Financial Data, creating actionable business insights.

Unlock SQL Server expertise with 20+ sub-modules for data analysis mastery!
Query, manage, and analyze databases with live projects for real-world impact! · Database Fundamentals: Explore DBMS concepts, relational databases, ER/EER diagrams, normalization (1st, 2nd, 3rd forms), and functional dependencies. · SQL Server Basics: Learn SQL’s role in data analysis, RDMS (Oracle, Microsoft SQL Server), and core commands (Select, Insert, Update, Delete, Create, Drop). · Query Mastery: Master DML (Select, Update, Delete, Insert) and DDL (Create, Alter, Drop) queries, including constraints (Primary Key, Foreign Key, Not Null). · Advanced Query Techniques: Use SQL Server queries (Distinct, Where, Order By, Like, In, Between), joins (Inner, Left, Right, Full), and Union/Union All. · Functions & Automation: Apply SQL functions (Avg, Count, Max, Min, Sum, Group By), user-defined functions, stored procedures, triggers, and cursors. · Data Control & Recovery: Implement DCL (Grant, Revoke), Rollback commands, and advanced techniques like subqueries, nested queries, and complex joins. · Database Design & Mapping: Create database diagrams, analyze mappings, and ensure data integrity with best practices for efficient management.   Practical Applications: Build skills with 3-5 live projects on real-world data, solving industry-relevant challenges in data analysis.

Unlock Python’s power for data analytics with 20+ sub-modules and real-world projects! Transform data into insights using NumPy, Pandas, and Matplotlib with ease! · Python Fundamentals: Learn Python basics, installation, syntax, indentation, and its history as a versatile programming language. · Core Programming Concepts: Master objects, numbers, sequences (Strings, Lists, Tuples), dictionaries, sets, and numerical operations. · Control Structures & Logic: Understand if-else conditions, for/foreach/while loops, and error/exception handling. · Data Handling & I/O: Explore file operations, input/output, and working with 1D/2D/multi-dimensional data structures. · Functions & OOP: Create functions (parametric/non-parametric), classes, inheritance, constructors, and use modules effectively. · Data Analytics Libraries: Leverage NumPy, Pandas, Matplotlib, and Pyplotlib for data manipulation and visualization. · Practical Applications: Apply Python in 3-5 analytics projects, solving real-world data challenges. Why Python? - Benefit from Python’s readability, "batteries included" library, and support for multiple programming paradigms.