Data Analytics with Excel (Basic to Advanced), SQL & Power BI by Anjali Mishra

Data Analytics Tools: Excel (Basic to Advanced), SQL & Power BI

This program is structured for graduates, early-career professionals, and working executives seeking hands-on proficiency in Excel, SQL, and Power BI for data analysis, reporting, and decision support. The course emphasizes practical application, structured problem-solving, and real-world datasets.

🔹Microsoft Excel (Basic to Advanced)

Excel environment, data types, and structured referencing Formula logic and cell referencing (relative, absolute, mixed).

Core functions: SUM, AVERAGE, COUNT, IF, IFERROR

Conditional functions: COUNTIF, SUMIF, AVERAGEIF

Lookup & reference functions: VLOOKUP, HLOOKUP, XLOOKUP, INDEX–MATCH

Text, date, and logical functions for data transformation

Conditional formatting & data validation

Data cleaning techniques (duplicates, inconsistencies, formatting)

Pivot Tables, Pivot Charts & dynamic reporting

Building Excel-based dashboards for analysis

🔹 SQL for Data Analysis

Relational database concepts & schema understanding

Data retrieval using SELECT, WHERE, ORDER BY, LIMIT

Aggregations and grouping (COUNT, SUM, AVG, GROUP BY, HAVING)

Joins (INNER, LEFT, RIGHT) and relationship handling

Subqueries and query optimization basics

Practical querying on real datasets

SQL interview-oriented problem solving

🔹 Power BI

Power BI architecture & data connectivity

Data preparation using Power Query

Data modeling & relationship management

DAX fundamentals (CALCULATE, FILTER, SUMX, IF)

Designing interactive dashboards & reports

KPIs, slicers, filters, and advanced visuals

End-to-end project-based dashboard development

🎯 Learning Outcomes

Ability to analyze, clean, and structure business data

Proficiency in querying databases and deriving insights

Design of interactive dashboards for stakeholders

Strong foundation for data analyst roles and interviews

👩‍🏫 Instruction Methodology

Structured, concept-driven teaching Hands-on practice with real-world datasets Use-case-based explanations Focus on analytical thinking and clarity.