Introduction to Statistics Course

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:

Register for the course


Face to Face Schedules By Location
Dubai Schedules:
Arusha Schedules:
Johannesburg Schedules:
Kampala Schedules:
Pretoria Schedules:
Cape Town Schedules:
Dar es Salaam Schedules:
Zanzibar Schedules:
Accra Schedules:
Nairobi Schedules:
Code Date Duration Location Fees
ISC10 18 Mar 2024 - 29 Mar 2024 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
ISC10 15 Apr 2024 - 26 Apr 2024 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
ISC10 20 May 2024 - 31 May 2024 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
ISC10 17 Jun 2024 - 28 Jun 2024 10 days Nairobi, Kenya KES 150,000 | USD 2,200 Register
Kigali Schedules:
Mombasa Schedules:
Nakuru Schedules:
Kisumu Schedules:
Naivasha Schedules:
Virtual Trainer Led Schedules
Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for a virtual schedule.
Code Date Duration Period Fees
E-Learning

Contact Us on (+254) 715 077 817 / (+254) 792 516 000 or email us [email protected] for E-Learning course.


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

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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