COURSE DESCRIPTION An Advanced Diploma in Information Technology is an educational program that offers specialized and in-depth training in various aspects of information technology. It is designed to provide students with advanced skills and knowledge in the field of IT, preparing them for a range of technical roles and career opportunities.

COURSE CONTENT

Review of Basic Excel Concepts:

Recap of essential Excel functions, formulas, and spreadsheet navigation.

Advanced Formulas and Functions:

Nested functions and complex formula examples.

Array formulas and their applications.

Lookup functions (VLOOKUP, HLOOKUP, INDEX-MATCH).

Logical functions (IF, AND, OR, etc.).

Text functions for advanced data manipulation.

Date and time functions for advanced date calculations.

Data Analysis Tools:

Working with large datasets and efficient data management.

Introduction to Excel Tables and their benefits.

Data sorting, filtering, and advanced filtering techniques.

Data validation and conditional data entry.

Advanced data analysis using PivotTables and PivotCharts.

Introduction to Power Query for data transformation and cleaning.

Advanced Charting and Visualization:

Customizing charts and using advanced chart types.

Creating dynamic charts with data ranges and form controls.

Using Sparklines and data bars for compact data visualization.

Charting best practices and data presentation techniques.

What-If Analysis and Scenario Manager:

Using Goal Seek to achieve desired results.

Scenario Manager for exploring different input scenarios.

Data tables to perform sensitivity analysis.

Data Connections and External Data:

Importing data from external sources (databases, web, etc.).

Using Excel as a frontend for databases.

Refreshing data connections and managing connections.

Advanced Data Analysis Tools:

Using Solver for optimization problems.

Descriptive statistics and data analysis using Excel functions.

Using Analysis ToolPak for statistical analysis.

Advanced Excel Functions:

Financial functions for complex calculations.

Database functions for working with large datasets.

Information functions for data validation.

Excel Productivity Tips and Tricks:

Time-saving shortcuts and techniques.

Customizing Excel settings for efficiency.

Tips for handling large datasets effectively.