Complete Excel Syllabus for Data Analytics

Deepshika

Complete Excel Syllabus for Data Analytics

Here is the Complete Excel Syllabus for Data Analytics:

Introduction to Excel for Data Analytics:

Overview of Excel’s capabilities for data analysis

Introduction to Excel’s interface: ribbons, worksheets, cells, etc.

Differences between Excel desktop version and Excel Online (web version)

Data Import and Preparation:

Importing data from various sources: CSV, text files, databases, web queries, etc.

Data cleaning and manipulation techniques: sorting, filtering, removing duplicates, etc.

Data types and formatting in Excel

Data validation and error handling

Data Analysis Techniques in Excel:

Basic formulas and functions: SUM, AVERAGE, COUNT, IF, VLOOKUP, etc.

Advanced functions for data analysis: INDEX-MATCH, SUMIFS, COUNTIFS, etc.

PivotTables and PivotCharts for summarizing and analyzing data

Advanced data analysis tools: Goal Seek, Solver, What-If Analysis, etc.

Data Visualization in Excel:

Creating basic charts: column, bar, line, pie, scatter, etc.

Formatting and customizing charts for better visualization

Using sparklines for visualizing trends in data

Creating interactive dashboards with slicers and timelines

Advanced Data Analysis Features:

Data modeling with Excel Tables and Relationships

Using Power Query for data transformation and cleaning

Introduction to Power Pivot for data modeling and DAX calculations

Advanced charting techniques: combination charts, waterfall charts, etc.

Statistical Analysis in Excel:

Descriptive statistics: mean, median, mode, standard deviation, etc.

Hypothesis testing: t-tests, chi-square tests, ANOVA, etc.

Regression analysis and correlation

Forecasting techniques: moving averages, exponential smoothing, etc.

Data Visualization Tools in Excel:

Introduction to Excel add-ins for enhanced visualization (e.g., Power Map, Power View)

Creating interactive reports with Excel add-ins

Introduction to Excel Data Model for handling large datasets

Real-world Projects and Case Studies:

Analyzing real-world datasets

Solving business problems with Excel

Portfolio development showcasing Excel skills