Data Analysis, Modelling and Simulation using Excel Course

Introduction

This course is about Statistics and Data Analysis using Excel. The course will teach you the advanced concepts related to Statistics and Data Analysis, and help you in applying these concept. Various examples and data-sets will be used and then we will show you how to use Microsoft Excel to perform these calculations.

Microsoft Excel is the most commonly used analytics, reporting and strategy software. Becoming an expert data analyst requires you to have mastery of advanced Excel skills. This course is aimed at taking your excel skills to the next level. You will be able to apply complex functions within Excel to manage, manipulate, analyze and visualize data.

Course Objective:

o   Descriptive and Inferential Statistics.

o   Statistical calculations.

o   Understand statistics from basic to advance using excel

Duration

5 days

 

Who should attend?

Statistician, analyst, or a budding data scientist and beginners who want to learn how to analyze data with excel.

 

Course content

o   Statistics Introduction and Definitions

o   Types of Data in Excel - Text, Numbers, Date/Time, Logical

o   Qualitative vs Quantitative Data / Continuous vs Discrete

o   Nominal, Ordinal, Interval & Ratio

o   Population and Sample (Theory)

o   Understanding Data Types

o   Understanding Formulas and Functions

o   Relative vs Absolute Reference

o   Formulas, Functions and Named Ranges

o   Descriptive Statistics

o   Section Introduction - Descriptive Statistics

o   Descriptive Statistics - Central Tendency

o   Descriptive Statistics - Variation

o   Installing Data Analysis Pack and Calculating Descriptive Statistics

o   Descriptive Statistics - Central Tendency

o   Descriptive Statistics - Variation (Excel)

o   Descriptive Statistics - Shapes

o   Descriptive Statistics

o   Data Visualization

o   Three commonly used Charts

o   Create Histogram

o   Histogram Shapes

o   Create Box and Whisker Plot

o   Scatter Diagram

o   Create Scatter Plot

o   Data Visualization

o   Introduction to Basic Probability Concepts

o   Basic Probability Concepts

o   Calculate Factorial, Permutations and Combinations

o   Basic Probability Concepts

o   Probability Distributions

o   Central Limit Theorem Demonstration

o   Normal Probability Distribution

o   Binomial Probability Distribution

o   Other Distributions Related to Binomial Distribution

o   Poisson Distribution

o   Probability Distributions

o   Introduction Hypothesis Testing

o   Hypothesis Testing - Types of Errors

o   Hypothesis Testing Explained

o   Tests for Mean, Variance and Proportions

o   One Sample z Test

o   Two Tail Example

o   Understanding the p Value

o   Introduction to T Functions

o   One Sample t Test - Example

o   One Sample p Test

o   Two Sample z Test

o   Two Sample t Test - Equal Variance

o   Two Sample t Test - Unequal Variance

o   Two Sample t Test - Paired t Test

o   Two Sample p Test

o   Introduction Tests for Variance (F and Chi Square)

o   F Test to Compare Variances

o   Plotting F Distribution

o   F Distribution Related Functions

o   F.TEST Function

o   F Test Using Data Analysis Pack

o   Chi Square Test for Variance

o   Plotting Chi Square Distribution

o   Chi Square Distribution Related Functions

o   Chi Square Test

o   Introduction to ANOVA

o   Understanding the concept of ANOVA

o   Formulas and calculations in ANOVA

o   Performing ANOVA

o   Two Factor ANOVA without Replication

o   Two Factor ANOVA with Replication

o   Goodness of Fit and Contingency Table

o   Introduction Goodness of Fit and Contingency Tables

o   Goodness of Fit Test

o   Contingency Table

o   Correlation and Linear Regression

o   Introduction to Correlation

o   Plotting Scatter Plot and Calculating Correlation Coefficient

o   Correlation Coefficient for Multiple Variables

o   Correlation Related Functions

o   Correlation vs Causation

o   Coefficient of Determination

o   Manual Calculation

o   Slope, Intercept

o   Forecast, Linear, Trend & Linest

o   Regression using Data Analysis Pack

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808 

Terms of Payment: Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.

Online/ On-site Training Dates