All the Functions and Formulas you need to perform detailed Data Analysis
Microsoft Excel remains one of the best tools for Data Analysis. In this course, we focus on the specific functions, formulas, and tools that Excel has to help conduct business or data analysis.
Simon Sez IT – Excel for Business Analysts
We by looking at how to take raw data and clean it so it’s in a useable format. After that, we look at a number of tools and functions that can be used to conduct analysis before moving onto how to display data in the most meaningful way. Finally, we move onto some more advanced techniques designed to aid forecasting and using existing data to predict future trends.
This course also includes practice exercises so you can immediately put into practice the new data analysis techniques that you learn.
In this course you will learn:
How to merge data from different sources using VLOOKUP, HLOOKUP, INDEX MATCH, and XLOOKUP
How to use IF, IFS, IFERROR, SUMIF, and COUNTIF to apply logic to your analysis
How to split data using text functions SEARCH, LEFT, RIGHT, MID
How to standardize and clean data ready for analysis
About using the PivotTable function to perform data analysis
How to use slicers to draw out information
How to display your analysis using Pivot Charts
All about forecasting and using the Forecast Sheets
Conducting a Linear Forecast and Forecast Smoothing
How to use Conditional Formatting to highlight areas of your data
All about Histograms and Regression
How to use Goal Seek, Scenario Manager, and Solver to fill data gaps
Course Format
This is a video-led course. You can preview some videos below.
This course includes practice exercises.
This course is aimed at PC Excel users.
Course Curriculum
Section 1: Introduction
Introduction to Business Analysis (5:25)
DOWNLOAD ME: Course Exercise Files
DOWNLOAD ME: Course Support Files
Section 2: The Basics
A Recap of Basic Formulas (12:42)
Absolute vs Relative Referencing (8:15)
Exercise 01 (2:03)
Section 3: Merging and Looking Up Data
Merging data from different sources (2:48)
Looking up Information with VLOOKUP (Exact) (10:57)
Looking up information with VLOOKUP (Approx) (6:27)
How to use VLOOKUP with data that expands (10:00)
Using HLOOKUP (12:16)
Combining VLOOKUP and MATCH (12:25)
Using INDEX, MATCH and XLOOKUP (17:25)
Data Validation Lists with Lookups (8:30)
Exercise 02 (6:24)
Section 4: Making Better Decisions with IF
How to use the IF function (5:30)
More Examples of the IF Function (7:08)
Working with Nested Ifs (6:35)
The IFS function (8:47)
Error handling with IFERROR and IFNA (9:21)
Using MAX and MIN instead of the IF function (11:25)
Using SUMIFS and COUNTIFS (11:51)
Exercise 03 (1:32)
Section 5: Preparing Data for Analysis
Splitting data using text functions (16:13)
Using the Flash Fill command (4:39)
Concatenating data (9:03)
Standardizing data (9:00)
Formatting data as a table (9:45)
Exercise 04 (2:28)
Section 6: PivotTables
An introduction to PivotTables (3:15)
Creating a PivotTable (12:40)
Summarizing Data (13:52)
Calculations in PivotTables (15:13)
Using Slicers to filter information (9:55)
Exercise 05 (1:53)
Section 7: Visualizing Data with Charts
Creating a Pivot Chart (10:38)
Formatting a Pivot Chart (14:25)
Using Sparklines (7:52)
A Basic Interactive Dashboard (14:45)
Exercise 06 (2:51)
Section 8: Forecasting
Forecast Sheets (7:18)
The Forecast Function (7:24)
Exercise 07 (1:35)
Section 9: Additional useful tools in Excel
Conditional Formatting (11:28)
The INDIRECT function (13:29)
The OFFSET function (10:32)
Using Histograms (4:55)
Regression (6:41)
Exercise 08 (2:12)
Section 10: WhatIf Analysis
Goal Seek (7:43)
Scenario Manager (8:01)
Data Tables (7:13)
Solver (6:50)
Exercise 09 (1:42)
Section 11: Course Close & Certificate of Completion
Closing
Course Quiz
