Introduction to Statistics Course


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We are proud to offer this course in a variety of training formats to suit your needs. We use the highest quality learning facilities to make sure your experience is as comfortable as possible. Our face to face calendar allows you to choose any classroom course of your choice to be delivered at any venue of your choice - offering you the ultimate in convenience and value for money.


June 2024

Code Date Duration Location Fee Action
ISC10 24 Jun 2024 - 5 Jul 2024 10 days Cape Town, South Africa $4,400 Register
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June 2024

Date
Duration
Location
Fee
Action
24 Jun - 5 Jul 2024
10 days
Cape Town
$4,400
I Want To See More Dates...
I Want To See More Dates...

INTRODUCTION

This course provides an introduction to statistics for those with little or no prior exposure to basic probability and statistics. Once you have completed this course you will be able to apply statistically valid designs to basic studies, and test hypotheses regarding proportions and means.

DURATION

 10 days

WHO SHOULD ATTEND?

Anyone with no prior statistical background, or anyone who encounters statistics in their work, or who needs introductory statistics for further study.


Course Level:

LEARNING OBJECTIVES

In completion of this course, participants will be able to:

  • Appropriately calculate various measures of location and variability
  • Produce histograms, boxplots and other visual displays
  • Explain what the null hypothesis is
  • Use resampling methods to test a null hypothesis and calculate a p-value
  • Index time series data
  • Calculate probabilities (conditional and unconditional)
  • Apply Bayes Rule
  • Specify a random sampling protocol
  • Conduct bootstrap sampling
  • Assess survey results
  • Determine confidence intervals

Course Outline

Study Design, Statistical Significance

  • Intro, Study Design
  • Measures of Central Location and Variability
  • Distance
  • Data Format
  • Variables
  • Graphs
  • Null Hypothesis
  • Resampling
  • Normal Distribution
  • Significance

Categorical Data, Contingency Tables

  • Categorical Data
  • Graphical Exploration
  • Indexing
  • Simple Probability
  • Distributions
  • Normal Distribution again
  • 2-Way (Contingency) Tables
  • Conditional Probability

More Probability, Random Sampling, the Bootstrap

  • Bayes Rule
  • Independence
  • Surveys
  • Random Sampling
  • Bootstrap

Confidence Intervals

  • Point Estimates
  • Confidence Intervals
  • Formula Counterparts
  • Standard Error
  • Beyond Random Sampling

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Course Administration Details:

METHODOLOGY

The instructor-led training is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).

TRAINING VENUE

The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION AND AIRPORT PICKUP

Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.

Email:[email protected].  

Mob: +254 715 077 817

TAILOR- MADE

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817.

Mob: +254 792516000+254 792516010 or mail [email protected]

PAYMENT

Payment should be transferred to IRES account through bank before the course start date

Send proof of payment to [email protected]


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