Mô tả

Do you think you need to learn new software to perform data analysis, statistics, simulations? You don't! Everything you need to get started in the world of data analytics is already on your computer in the wonderful application called Excel.

This course will first acquaint you with the Excel environment including how to use simple and complex functions, hot-key shortcuts and navigation tips to make sure you work efficiently and effectively. From there, I lead you in lectures and practice exercises on the fundamental topics of data analytics.

Data Visualizations - Visualizing data is an important part in analyzing data as well as presenting and explaining what it means. Lectures in this course Included how to craft and use bar charts, line charts, radial charts, histograms, box and whisker charts, pie charts, conditional formatting and Sparklines.

Pivot Tables - Pivot Tables are very powerful, simple to use tools built into excel. The lectures will include how to structure data to get the most out of pivot tables, and then a few use cases including root cause analysis, comparative analysis, along with other visualization tools specific to pivot tables.

Statistics - The Statistics module is by far the most densely packed module in this course. As a statistician by training, I present a deep dive into the data behind the statistics and how to use different statistical tests based on different circumstances. The module is filled with different lectures and exercises involving ANOVA tests, T Tests, Chi-Squared Tests, Tests for Normality, Regression Analysis and more.

Forecasting - Organizations have to be able to anticipate the future. The forecasting tools presented in this course help us accomplish this feat. Forecasting is presented in two different ways - Factor forecasting and Time Series forecasting. For each approach to forecasting, many tools and techniques are introduced and reviewed including Regression analysis, Monte Carlo Simulation, Simple Moving Averages, and Auto-Regressive techniques.

Excel Tools - Excel has a lot of useful tools that don't quite fit neatly into any of the other modules. The last module of this course explores the use cases of using these tools. In particular, several archetypal problems are introduced and solved using the miscellaneous data analysis tools found in excel, including Excel Solver.

Bạn sẽ học được gì

Data Analytics

Data Visualization

Hypothesis Testing

Statistics

Forecasting

Excel

Regression

Monte Carlo Simulation

Linear Programming

Pivot Tables

Business Intelligence

Excel Analytics

Yêu cầu

  • Basic Math

Nội dung khoá học

6 sections

Excel Environment and Excel Basics

8 lectures
Navigation Part 1
11:24
Navigation Part 2
09:25
Basic Excel Formulas
13:29
Structuring Data in Excel
06:54
Intermediate Excel Functions
13:50
Descriptive Statistics Part 1
07:07
Descriptive Statistics Part 2
11:39
Module #1 Practice & Solutions
25:29

Visualizations

14 lectures
Introduction to Visualizations and Pie Charts
14:52
Histograms
08:31
Bar Charts
13:02
Line Charts
14:44
Box and Whisker
15:00
Radial Charts
09:54
Combo Charts
13:21
Scatter Plots
13:02
Conditional Formatting Part 1
08:37
Conditional Formatting Part 2
11:03
Conditional Formatting Part 3
07:18
Sparklines
07:29
Appendix: Control Charts
08:05
Module #2 - Practice & Solutions
18:19

Pivot Tables, Charts and Slicers

5 lectures
Introduction to Pivot Tables
13:30
Root Cause Analysis
14:10
Comparative Analysis
14:03
Pivot Charts and Slicers
11:01
Module #3 - Practice & Solutions
30:49

Statistics: Hypothesis Testing and Regression

20 lectures
Types of Data
14:57
Fundamentals of Sampling
11:29
Distributions Part 1
08:51
Distributions Part 2
10:35
Introduction to Hypothesis Testing
14:53
T-tests Part 1
13:50
T-tests Part 2
06:48
T-tests Part 3
09:58
Chi-Squared Test Part 1
14:20
Chi-Squared Test Part 2
13:39
Test for Normality Part 1
14:21
Test for Normality Part 2
10:40
ANOVA Part 1
14:09
ANOVA Part 2
13:13
Simple Regression Part 1
11:44
Simple Regression Part 2
09:38
Multi-Variate Regression Part 1
06:48
Multi-Variate Regression Part 2
10:52
Multi-Variate Regression Part 3
08:04
Module 4 - Practice & Solutions
20:55

Forecasting

16 lectures
Introduction to Forecasting
14:20
Factor Forecasting - Regression Part 1
13:27
Factor Forecasting - Regression Part 2
13:50
Factor Forecasting - Monte Carlo Simulation - Part 1
09:56
Factor Forecasting - Monte Carlo Simulation - Part 2
13:39
Factor Forecasting - Monte Carlo Simulation - Part 3
14:29
Time Series Forecasting - The Simple Moving Average Part 1
12:30
Time Series Forecasting - The Simple Moving Average Part 2
05:20
Time Series Forecasting - Parameter Tuning Part 1
08:37
Time Series Forecasting - Parameter Tuning Part 2
13:27
Time Series Forecasting - Parameter Tuning Part 3
10:40
Time Series Forecasting - Auto Regression
12:29
Time Series Forecasting - Time Series ARMA
06:52
Time Series Forecasting - Time Series ARIMA
12:18
Module 5 - Practice Set #1 & Solutions
25:36
Module 5 - Practice Set #2 & Solutions
28:59

Miscellaneous Analytical Tools

8 lectures
Intro and Goal Seek
04:48
Scenario Analysis
10:44
Data Tables
07:20
Introduction to Excel Solver Tool
09:54
Excel Solver Tool - The Backpack Problem
11:07
Excel Solver Tool - The Mixing Problem
12:53
Excel Solver Tool - The Traveling Salesman Problem
10:58
Module 6 - Practice & Solutions
34:29

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