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Excel For Business Analytics

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Project

Updated 2 weeks ago

About

Modules

M:1

Excel Fundamentals & Spreadsheet Modeling

12 Lessons

|

16 Min

Foundation skills in Excel, spreadsheet design, basic analysis tools.

  • Excel Practice Files

    -

  • Basic Business Analytics using Excel

    5:03

  • Good Spreadsheet Model Design, Fixed Variable Cost Example

    -

  • Goal Seek For What-If Analysis

    -

  • Excel Formula for Units Break Even Point and a Unit Defect Rate

    -

  • 1 Variable Data Table For What-If Analysis

    11:30

  • 2 Variable Data Table For What-If Analysis

    -

  • X-Y Scatter Chart: Fixed Cost Variable Cost Model

    -

  • Total Revenue Calculation: VLOOKUP or LOOKUP/SUMPRODUCT?

    -

  • Shortest Distance Shipping Costs: INDEX, MATCH, & IF Functions

    -

  • Find & Fix Excel Formula Errors in Spreadsheet Models

    -

  • Quiz

    -

M:2

Data Analysis, Summarization, and Visualization

9 Lessons

|

11 Min

Focus: Data cleaning, formatting, summarizing, and visualizing

  • Raw Data, Data, Proper Data Sets and Data Terminology

    -

  • Excel Data Analysis Features: Sort, Filter, Pivot Tables

    -

  • Logical Formulas & Conditional Formatting to Visualizing Data

    -

  • Count Transactions by Web Site Report & Chart

    11:51

  • Count Transactions by Hour Report & Chart

    -

  • FREQUENCY Array Function for Frequency Distribution & Histogram

    -

  • Data Analysis Add-in for Frequency Distribution & Histogram

    -

  • Why PivotTables Rule for Frequency Distributions & Histogram

    -

  • Quiz

    -

M:3

Descriptive Statistics & Probability Concepts

8 Lessons

Focus: Summary statistics, distributions, probability & Excel functions.

  • Skew: Shape of Histogram, Shape of Quantitative Data

    -

  • AVERAGE, MEDIAN, MODE.MULT functions & PivotTable Mode

    -

  • Geometric Mean Average Compounding Rate GEOMEAN RRI Function

    -

  • Variability: Variance, Standard Deviation, Z-score and more

    -

  • Empirical Rule, Calculating Probability NORM.DIST & NORM.S.DIST

    -

  • Percentiles, Quartiles, 5 Number Summary using Excel Functions

    -

  • Box & Whisker Plot. Chart Example in Excel 2016

    -

  • Quiz

    -

M:4

Data Preparation with Power Query

12 Lessons

|

8 Min

Focus: Cleaning and transforming large or messy data using Power Query

  • Power Query: Import Multiple Text Files & Build Grade Dashboard

    -

  • Clean & Transform Data: Formulas, Flash Fill, Power Query, TTC

    -

  • Power Query: Import Multiple Large CSV Files Into Data Model

    -

  • Excel 2016 Power Query: Data Ribbon Tab, Get and Transform

    -

  • Power Query: Import Multiple Excel Files with 1 Sheet Each

    -

  • Power Query Import Multiple Excel Files with Multiple Sheets

    8:58

  • Power Query: Transform Many Bad Data Files into Proper Data Set

    -

  • Power Query: Import & Merge Multiple Sources Access, Text, Excel

    -

  • Power Query to Get Data From Web Site & Import into Excel

    -

  • Power Query to Unpivot Data (Multiple Columns to Single Column)

    -

  • Excel 2016 Data Tab, Get & Transform: Unpivot feature

    -

  • Quiz

    -

M:5

Data Modeling, PowerPivot, and Advanced Reporting

7 Lessons

|

12 Min

Focus: Large-scale data handling, DAX, data models, and advanced analytics

  • PivotTable from 4 Million Records with Power Query & Data Model

    -

  • Import Related Tables: Power Query Merge? Data Model Relationships?

    12:18

  • Introduction to PowerPivot & Data Modeling

    -

  • Excel 2016: Introduction to PowerPivot & Data Model

    -

  • Comprehensive PowerPivot, Data Model, DAX & Reporting Example

    -

  • Visualizing Data: Table & Chart Guidelines

    -

  • Quiz

    -

M:6

Forecasting, Regression, Optimization & Simulation

14 Lessons

Focus: Predictive modelling, optimization, simulation, and advanced forecasting.

  • Intro To Linear Regression & Scatter Chart

    -

  • Covariance and Correlation to Measure Linear Relationship

    -

  • Slope & Intercept for Estimated Simple Linear Regression Equation

    -

  • SST = SSR + SSE & R Squared & Standard Error of Estimate

    -

  • Data Analysis Regression feature

    -

  • LINEST Array Function for Simple Linear Regression

    -

  • Introduction to Multiple Regression, Data Analysis Regression

    -

  • Testing Significance of Regression Relationship with p-value

    -

  • Quiz

    -

  • LINEST, F.DIST.RT, T.DIST.2T & ABS Functions Test of Significance

    -

  • Line Charts for Time Series Data

    -

  • Basic Forecasting Methods & Measures of Forecast Error

    -

  • Summary of 4 Basic Forecasting Methods & Mean Square Error

    -

  • Forecasting with Linear Regression: Trend & Seasonal Pattern

    -

M:7

Optimization & Monte Carlo Simulation

14 Lessons

|

27 Min

Focus: Operations research, linear programming, Excel Solver, and probabilistic simulation.

  • Excel Solver to Maximize Contribution Margin

    -

  • Intro To Linear Programming using Algebra, Pencil & Paper

    27:42

  • Linear Program Special Cases: Infeasible, Unbound, Alternative

    -

  • Excel Solver: Minimize Transportation Costs, Integer Variable

    -

  • Find Alternative Optimal Solution For Transportation Problem

    -

  • Excel Solver: Maximize Portfolio Returns

    -

  • Excel Solver Binary Variable Choose Projects Limited Resources

    -

  • Introduction To Monte Carlo Simulation In Excel

    -

  • Create Random Variables: Custom, Binomial, Uniform, Normal

    -

  • Monte Carlo Simulation for New Product, 3 Uncertain Variables

    -

  • Monte Carlo Simulation for Marketing Analysis Binomial Variable

    -

  • Monte Carlo Simulation Histogram for Construction Project Length

    -

  • Monte Carlo Simulation for Baseball World Series

    -

  • Quiz

    -

Project:
Retail Sales Analysis, Forecasting & Optimization Using Excel

You are hired as a Business Analyst for a national retail chain. Your task is to use Excel and related tools to analyze historical sales data, forecast future performance, optimize resource allocation, and present insights through a dynamic dashboard to support executive decision-making.

Instructors:

Details not provided...

Preview this course

This course includes:

  • 1 Hr, 17 Min on-demand video
  • 7 assignments
  • 1 downloadable
  • Lifetime access
  • Milestone budges
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