Data Literacy Fundamentals Course


Course Cover

Register for this course

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
DLF3025 17 Jun 2024 - 21 Jun 2024 5 days Kisumu, Kenya KES 84,000 | $1,100 Register
DLF3025 24 Jun 2024 - 28 Jun 2024 5 days Nairobi, Kenya KES 83,000 | $1,100 Register
DLF3025 17 Jun 2024 - 21 Jun 2024 5 days Accra, Ghana $2,400 Register
I Want To See More Dates...

Unfortunately, we do not have any dates scheduled at this time. Do you have a date in mind when you would like to take your training?

Request Custom Schedule

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

June 2024

Date
Duration
Location
Fee
Action
17 Jun - 21 Jun 2024
5 days
Kisumu
KES 84,000 $1,100
24 Jun - 28 Jun 2024
5 days
Nairobi
KES 83,000 $1,100
17 Jun - 21 Jun 2024
5 days
Accra
$2,400
I Want To See More Dates...

Unfortunately, we do not have any dates scheduled at this time. Do you have a date in mind when you would like to take your training?

Request Custom Schedule

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


Introduction

Data Literacy is an essential skill in today's data-driven world. Data is everywhere, and the ability to understand, interpret and communicate with data is a skill that has become indispensable. Data literacy is the ability to read, understand, and communicate with data. It goes beyond knowing how to read a chart or create a spreadsheet; it encompasses the capacity to ask the right questions, analyze data critically, and use data to inform actions and decisions.

This comprehensive course will empower you with the knowledge and skills necessary to understand, analyze, and communicate with data effectively. You'll learn how to understand, interpret, and communicate with data effectively. By the end of this course, you'll be able to make data-informed decisions, communicate data-driven insights, and be better equipped to excel in a data-centric workplace.

Duration

5 days

Who Should Attend:

Anyone interested in improving their data literacy skills


Course Level:

Course Objectives

  • To introduce the concept of data literacy and its importance in various fields.
  • To provide a comprehensive understanding of data types and sources.
  • To teach data collection and data cleaning techniques.
  • To develop skills in data visualization and interpretation.
  • To enable students to make data-informed decisions.
  • To foster effective communication of data-driven insights

Course Outline

Module 1: Introduction to Data Literacy

  • Understanding the importance of data literacy
  • Differentiating between data, information, and knowledge
  • Exploring real-world applications of data literacy

Module 2: Data Types and Sources

  • Types of data: qualitative, quantitative, and categorical
  • Sources of data: primary and secondary
  • Data collection methods and ethics
  • Data storage options

Module 3: Data Exploration and Visualization

  • Introduction to Data Exploration
  • Basic data visualization techniques (bar charts, histograms, scatter plots)
  • Choosing the right visualization for Your Data
  • Introduction to data visualization tools

Module 4: Data Analysis Fundamentals

  • Descriptive statistics: mean, median, mode, and variance
  • Inferential statistics: hypothesis testing and confidence intervals
  • Data analysis tools and software

Module 5: Data Cleaning and Preprocessing

  • Identifying and handling missing data
  • Dealing with outliers
  • Data transformation techniques

Module 6: Data Interpretation and Decision Making

  • Drawing insights from data
  • Making data-driven decisions
  • Evaluating the reliability and validity of data

Module 7: Data Communication and Storytelling

  • Effective data communication techniques
  • Creating compelling data visualizations
  • Building data narratives

Module 8: Data Privacy and Ethical Considerations

  • Data privacy regulations
  • Ethical considerations in data usage
  • Protecting sensitive information

Related Courses


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.

Mobile: +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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