Data Analytics Using Microsoft Excel

This comprehensive five-session course is designed to equip with essential skills in data analytics using Microsoft Excel. Starting with an introduction to the fundamental concepts of data analytics, you will progress through hands-on sessions covering Excel basics, data importation and cleaning, exploration and visualization techniques, and advanced Excel functions for data analysis.

Participants will delve into the power of Excel PivotTables for data summarization, learn to create and customize various charts for effective data representation, and explore advanced functions like VLOOKUP, HLOOKUP, and statistical functions for in-depth analysis. The course will also introduce to Excel Solver for optimization problems and Power Query for efficient data manipulation and integration.

Session 1: Introduction to Data Analytics and Excel Basics

Objective:

Introduce the concept of data analytics.

Familiarize with basic Excel functions and features.

Agenda:

1. Introduction to Data Analytics
2. Overview of Microsoft Excel
3. Data Import and Cleaning

Definition and importance

Applications in various industries

Excel interface and navigation

Basic spreadsheet operations (entering data, formatting, etc.)

Cell referencing and formulas

Importing data into Excel

Cleaning and formatting data

Handling missing values

Session 2: Data Exploration and Visualization

Objective:

Teach how to explore and visualize data using Excel tools.

Agenda:

1. Exploring Data
2. Introduction to PivotTables
3. Data Visualization

Sorting and filtering data

Using Excel tables

Creating PivotTables for data summarization

PivotTable analysis and customization

Creating basic charts (bar charts, line charts, etc.)

Customizing charts for better representation

Session 3: Advanced Excel Functions for Analytics

Objective:

Introduce to advanced Excel functions for data analysis.

Agenda:

1. Advanced Formulas
2. Date and Time Functions
3. Statistical Functions

IF statements and logical functions

VLOOKUP and HLOOKUP functions

SUMIF and COUNTIF functions

Working with dates and times in Excel

Date and time calculations

Introduction to statistical functions (AVERAGE, STDEV, etc.)

Applying statistical functions to analyze data

Session 4: Data Analysis with Excel Solver and Power Query

Objective:

Introduce to advanced data analysis tools in Excel.

Agenda:

1. Excel Solver
2. Introduction to Power Query
3. Combining Data from Multiple Sources

Introduction to optimization problems

Setting up and solving optimization problems using Solver

Connecting to external data sources

Transforming and cleaning data with Power Query

Merging and appending data tables

Data consolidation techniques

Session 5: Case Studies and Real-world Applications

Objective:

Apply learned skills to real-world scenarios.

Provide hands-on experience with practical case studies.

Agenda:

1. Case Study Analysis
2. Group Project
3. Q&A and Next Steps

Present real-world data scenarios

Guide through the process of solving using Excel analytics

Participants work on a group project applying learned skills

Present and discuss findings

Answer participant questions

Provide resources for further learning