Course Overview

The Data Analytics Excel Course focuses on leveraging Excel’s powerful tools and features for data cleaning, analysis, and visualisation. Participants will explore advanced formulas, pivot tables, charts, and statistical functions to analyse datasets and present insights. This hands-on course covers techniques for automating workflows, managing large datasets, and creating impactful dashboards. By the end of the course, learners will be prepared to use Excel effectively for data-driven decision-making in professional environments.

 

Prerequisites

Basic knowledge of Excel and spreadsheets is recommended.

Target Audience

This course is ideal for business professionals, analysts, students, and individuals looking to enhance their data analytics skills using Excel. It is suitable for intermediate Excel users aiming to advance their expertise in data analysis.

Course Highlights

  • Master advanced Excel functions and data cleaning techniques.
  • Develop skills in creating pivot tables, charts, and dashboards.
  • Explore statistical functions and data modelling for analytics.
  • Automate repetitive tasks using Excel macros.
  • Learn best practices for organising, analysing, and visualising data.

Course Objectives

By the end of this course, learners will be able to:

  • Use Excel’s tools and features for managing and analysing datasets.
  • Clean and prepare raw data for analysis efficiently.
  • Apply advanced formulas and functions to solve analytical problems.
  • Summarise and explore data trends using pivot tables and slicers.
  • Design interactive dashboards and charts to visualise insights.
  • Automate tasks using macros and VBA for improved productivity.
  • Conduct statistical analyses to support data-driven decisions.
  • Integrate multiple data sources for comprehensive analytics.
  • Present analytical findings in a clear and visually impactful manner.
  • Optimise Excel workflows to save time and reduce manual effort.

Course Outline

Instructional Methods: Group discussions on data analytics concepts, practical exercises in Excel setup, and case studies on Excel applications in analytics.

Topics Covered:

  • Overview of data analytics and Excel’s role in data-driven decisions.
  • Exploring the Excel interface and essential tools for analytics.
  • Setting up Excel for efficient data management.
  • Applications of Excel analytics in various industries.
  • Managing and organising datasets for analysis.

Instructional Methods: Hands-on exercises in data cleaning, group discussions on best practices, and practical activities in preparing datasets.

Topics Covered:

  • Removing duplicates, blanks, and inconsistent entries.
  • Using text functions (LEFT, RIGHT, TRIM, SUBSTITUTE) for cleaning.
  • Splitting and combining data using Text-to-Columns and CONCATENATE.
  • Formatting datasets for better readability and analysis.
  • Applying conditional formatting to highlight anomalies.

Instructional Methods: Practical exercises in formula application, group discussions on complex functions, and case studies on real-world analytics tasks.

Topics Covered:

  • Logical functions: IF, AND, OR, IFERROR.
  • Lookup functions: VLOOKUP, HLOOKUP, INDEX-MATCH, and XLOOKUP.
  • Statistical functions: AVERAGEIF, COUNTIFS, MEDIAN, and STDEV.
  • Text functions for analysing textual data.
  • Array formulas and dynamic ranges for advanced calculations.

Instructional Methods: Hands-on exercises in pivot table creation, group discussions on summarising data, and case studies on data insights.

Topics Covered:

  • Creating and customising pivot tables for data summarisation.
  • Grouping data by categories, dates, and numeric ranges.
  • Using calculated fields and calculated items in pivot tables.
  • Analysing trends and relationships within datasets.
  • Integrating slicers and timelines for interactive analysis.

Instructional Methods: Practical exercises in creating visualisations, group discussions on visual design, and case studies on impactful reporting.

Topics Covered:

  • Designing charts (bar, line, scatter, waterfall, radar).
  • Creating interactive dashboards with slicers and buttons.
  • Using sparklines for quick data representation.
  • Customising chart formats for clarity and impact.
  • Best practices for visualising data and communicating insights.

Instructional Methods: Hands-on exercises in automation, group discussions on improving efficiency, and case studies on workflow enhancements.

Topics Covered:

  • Recording and editing macros to automate repetitive tasks.
  • Writing basic VBA scripts for custom automation.
  • Creating dynamic dashboards with automated updates.
  • Using data validation and dropdown lists for better input control.
  • Linking Excel with external data sources for real-time analysis.

Certification

A certificate of completion will be awarded upon successful completion of the course.

Course Fees

$788 $488

Data Analytics Excel

Transform Data into Actionable Insights with Excel’s Powerful Tools

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Transform Data into Actionable Insights with Excel’s Powerful Tools

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