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Statistics and Data Analysis with Excel: Essentials

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Statistics and Data Analysis with Excel: Essentials

Ce cours fait partie de Spécialisation "Statistics and Data Analysis with Excel"

Enseigné en Français (doublage IA)

Instructeur : Assoc Prof Prashan S. M. Karunaratne

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5 modules

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5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

80 avis

niveau Débutant

Expérience recommandée

Planning flexible

1 semaine à 10 heures une semaine

Apprenez à votre propre rythme

96%

La plupart des étudiants ont apprécié ce cours

Ce que vous apprendrez

Evaluate the impact of statistical methods on organisation-wide decision-making processes.
Design spreadsheet models to predict organisational trends and outcomes.
Critically interpret graphical data representations to identify actionable insights.
Formulate data analysis strategies to optimise organisational performance.

Compétences que vous acquerrez

Catégorie : Sampling (Statistics)
Catégorie : Spreadsheet Software
Catégorie : Descriptive Analytics
Catégorie : Box Plots
Catégorie : Statistical Analysis
Catégorie : Data Analysis
Catégorie : Data Visualization Software
Catégorie : Data-Driven Decision-Making
Catégorie : Data Presentation
Catégorie : Probability & Statistics
Catégorie : Statistics
Catégorie : Probability Distribution
Catégorie : Sample Size Determination
Catégorie : Statistical Methods
Catégorie : Descriptive Statistics
Catégorie : Statistical Hypothesis Testing
Catégorie : Statistical Inference

Outils que vous découvrirez

Catégorie : Microsoft Excel

Détails à connaître

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9 devoirs

Enseigné en Français (doublage IA)

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Ce cours fait partie de la Spécialisation "Statistics and Data Analysis with Excel"

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Il y a 5 modules dans ce cours

Statistics and data analysis involve collecting, analysing, interpreting and presenting data to stakeholders to enhance their decision-making.

Statistics is all about making sense of numbers and finding patterns in the data - in business, health, sports, science, the arts, and more. Statistics can be divided into two main branches, descriptive statistics and inferential statistics. Descriptive Statistics summarise and describe the features of a data set. Inferential Statistics allow us to make predictions or inferences about a population based on a sample of data that we have access to. In this course, you will be equipped with the tools and techniques to transform your data into meaningful output to drive insights for your work and your organisation. We will explore both Descriptive Statistics as well as Inferential Statistics.

Détails du module

In this module, we will cover the Introduction to Statistics. What is Statistics? What are the different types of Statistics? How do we summarise large volumes of data to make it more meaningful to generate insights for our organisation? Welcome to the Introduction to Statistics!

Inclus

5 vidéos9 lectures2 devoirs

5 vidéosTotal 17 minutes

Welcome to Statistics and Data Analysis with Excel: Essentials2 minutes
Introduction to Statistics and Measures of Centredness4 minutes
Descriptive Statistics - Measures of Centredness4 minutes
Formulas for Measures of Centredness2 minutes
Histograms5 minutes

9 lecturesTotal 90 minutes

Course Information10 minutes
Your Learning Path - How the course is structured10 minutes
Download the workbooks10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - Introduction to Data and Analytics10 minutes
Toolbox Summary - Statistics and Analytics Terminology10 minutes
Toolbox Summary - Descriptive Statistics10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - Introduction to Statistics10 minutes

2 devoirsTotal 60 minutes

Introduction to Statistics - Practice for Final Assignment30 minutes
Test Yourself: Introduction to Statistics30 minutes

In this module, we will cover Variance. Now that we know how to measure centred-ness, how do we measure spread? What are the various numerical and graphical measures of spread? Why is measuring spread important? Welcome to Variance!

Inclus

4 vidéos6 lectures2 devoirs

4 vidéosTotal 16 minutes

Measures of Spread5 minutes
Descriptive Statistics - Measures of Spread3 minutes
Formulas for Measures of Spread4 minutes
Boxplots5 minutes

6 lecturesTotal 60 minutes

Download the Workbooks10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - Summarising Data10 minutes
Toolbox Summary - Variance and Spread10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - Variance10 minutes

2 devoirsTotal 60 minutes

Variance - Practice for Final Assignment30 minutes
Test Yourself: Variance30 minutes

Now that we have looked at measures of centred-ness and measures of spread, let's bring it all together. What do data distributions look like? What can we infer from a sample of data if we know its centre and its spread? Are all distributions the same? Welcome to the Normal Distribution!

Inclus

4 vidéos6 lectures2 devoirs

4 vidéosTotal 17 minutes

The Normal Distribution3 minutes
Normal Distribution and Excel6 minutes
Standard Normal Distribution and the Central Limit Theorem5 minutes
Z statistics versus t statistics2 minutes

6 lecturesTotal 60 minutes

Download workbooks on Normal Distribution10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - The Normal Distribution10 minutes
Toolbox Summary - The Central Limit Theorem10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - The Normal Distribution10 minutes

2 devoirsTotal 60 minutes

Normal Distribution - Practice for Final Assignment30 minutes
Test Yourself: Normal Distribution 30 minutes

Now that you have mastered the Normal Distribution, let's do some testing! What if you want to make an inference about an entire population but you only have a sample of data? How can you use the statistics of a sample to make decisions for your organisation? How large should your sample size be? Welcome to Statistical Inference!

Inclus

4 vidéos8 lectures3 devoirs

4 vidéosTotal 20 minutes

Statistical Inference5 minutes
Steps of Hypothesis Testing6 minutes
Z-test for a One Sample Hypothesis Test6 minutes
t-test for a One Sample Hypothesis Test4 minutes

8 lecturesTotal 80 minutes

Download the Module 5 Workbooks10 minutes
At the end of this module - your final Excel file should look like this10 minutes
Toolbox Summary - Statistical Inference10 minutes
Toolbox Summary - Hypothesis Testing10 minutes
Hypothesis Testing for One Sample Tests10 minutes
Why the Practice Assignment is after the Graded Assignment10 minutes
Optional Reading - Statistical Inference10 minutes
Summary of the Course and Next Steps10 minutes

3 devoirsTotal 90 minutes

Statistical Inference - Practice for Final Assignment30 minutes
Test Yourself: Statistical Inference30 minutes
Final Assignment - Excel Skills for Statistics and Data Analysis: Essentials30 minutes

The material in this module consists of a series of Toolboxes. While the material covered in these Toolboxes is not necessarily related to Statistics - these Toolboxes will help you expand your tools and techniques in Microsoft Excel. To further your skills in Microsoft Excel in domains beyond Statistics, you may want to consider our other courses and specializations: Excel Skills for Business. Excel Skills for Data Analytics and Visualization, Excel Skills for Business Forecasting

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8 lectures

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