Introduction to Data and Data Science


Introduction

Working with data is an essential part of maintaining a healthy business. This course will introduce you to the field of data science, help you understand the various processes and distinguish between terms such as: ‘traditional data,’ ‘big data,’ ‘business intelligence,’ ‘business analytics,’ ‘data analytics,’ ‘data science,’ and ‘machine learning.’

In this training you will create a strong foundation for your data science career. You will understand the core principles of probability, statistics, visualization, and mathematics necessary for building machine and deep learning models further in the program. You will know the popular tools used by the data science in their daily activities.

Duration

5 Days

Who Should Attend

This course is for anyone who works in the field of research across all varieties of professionalism whereby data is to be handled and manipulated in order to acquire insights/ results.

Course Objectives

By the end of the training, one should be able to;

  • To distinguish between business analytics, data analytics, business intelligence, machine learning, and artificial intelligence.
  • Differentiate various data disciplines and techniques
  • Understand programming languages and softweare employment in various jobs

 

Course Outline

Module 1

  1. The different data science fields and their relationship
  • Welcome to Intro to Data and Data Science
  • Why are there so many business and data science buzzwords?
  • Analysis vs Analytics
  • Intro to Business Analytics, Data Analytics, and Data Science
  • Adding Business Intelligence (BI), Machine Learning (ML), and Artificial Intelligence (AI) to the picture
  • An Overview of our Data Science Info-graphic
  • When are Traditional data, Big Data, BI, Traditional Data Science and ML applied

Module 2

2. What is the purpose of each data science field and common data science techniques

  • Why do we need each of these disciplines?
  • Traditional Data: Techniques
  • Traditional Data: Real-life Examples
  • Big Data: Techniques
  • Big Data: Real-life Examples
  • Business Intelligence (BI): Techniques
  • Business Intelligence (BI): Real-life Examples
  • Traditional Methods: Techniques
  • Traditional Methods: Real-life Examples
  • Machine Learning (ML): Techniques
  • Machine Learning (ML): Types of Machine Learning
  • Machine Learning (ML): Real-life Examples

Module 3

3. Common data science tools, Job positions, and common misconceptions

  • Programming Languages & Software Employed in Data Science - All the Tools You Need
  • Data Science Job Positions: What do they Involve and What to Look out for?
  • Dispelling Common Misconceptions

Enroll for this Course

We are proud to offer this course in a variety of training formats to suit your needs.

IRES

Enroll to In-Person (Face to Face)

We use the highest quality learning facilities to make sure your experience is as comfortable as possible.

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IRES

Enroll for a Virtual Zoom Class

Join a scheduled class with a live instructor and other delegates.

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IRES

Enroll for Online Self-paced Class

Keep track of your own progression throughout your course and ensure continuous improvement.

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Benefits of Taking a Course at IRES

LEARN

Our courses are carefully curated to keep you abreast of latest industry trends, technological advancements, and best practices. We employ a variety of teaching methodologies, including hands-on workshops, case studies, and interactive sessions, all aimed at fostering an engaging and effective learning environment. Our expert instructors bring a wealth of knowledge and real-world experience, providing our clients with insights that can be immediately applied in their professional lives.

NETWORK

Our courses serve as a vibrant platform for professionals to connect and engage with a diverse community of peers, industry leaders, and experts. By participating in our programs, you gain access to an invaluable network that spans across various sectors and geographical boundaries. This networking aspect is not just about forming professional relationships; it's about creating a supportive ecosystem where ideas, opportunities, and collaborations can flourish.

GROW

Our courses are designed to challenge and inspire professionals to step out of their comfort zones and explore new horizons. Through a combination of theoretical knowledge and practical application, our programs help professionals refine their existing skills and acquire new ones, making them more versatile and competitive.

FAQs & Course Administration Details:

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 Phone: +254 715 077 817 or Email: [email protected].
The instructor led trainings are delivered using a blended learning approach and comprise 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.
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).
Payment should be transferred to IRES account through bank on or before start of the course. Send proof of payment to [email protected].
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer. Email: [email protected] Phone: +254 715 077 817.

Who else has taken this course?


# Job Title Organisation Country
1 INDIVIDUAL South Africa
2 Supervision Officer Retirement Benefits Authority Kenya