Software Development

Data Science Practioner

Overview
Curriculum
  • 6 Sections
  • 54 Lessons
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Ethics
9 Lessons
  1. Introduction to Governance, Legislation and Ethics
  2. Legislation Governing Workplaces
  3. Introduction to Ethics and Security
  4. Ethics at Work
  5. Security and Cyber Security
  6. Planning, Organisation and Quality Control
  7. Business Planning
  8. Costing Of Products
  9. Human, Financial & Physical Resources
Design Thinking
6 Lessons
  1. Introduction to Design Thinking
  2. The Human Element
  3. Creativity
  4. Innovation
  5. Design Thinking Methodology
  6. Application of Design Thinking
4IR
14 Lessons
  1. 4IR Emerging Trends
  2. Computing Knowledge
  3. Future Skills and Competencies
  4. 4IR Trends Affecting Businesses
  5. Interpersonal Skills
  6. Intrapersonal Skills
  7. Communication Principles and Methods
  8. Written Business Communication
  9. Presentation Skills
  10. Teamwork in the Workplace
  11. Committees and Meetings
  12. Job Descriptions and Profiles
  13. Customers and Stakeholders
  14. Customer Service
Introduction to Business Analytics
10 Lessons
  1. Introduction to Business Analytics
  2. Introduction to business processes, analysis and process modelling
  3. Introduction to Data Science Programs
  4. Data Analytics
  5. Wrangling
  6. Data Structures
  7. Data Visualisation
  8. High-throughput
  9. High-dimensional data analysis
  10. Basic machine learning and artificial intelligence concepts
Logical Thinking and Basic Calculations: Refresher
11 Lessons
  1. Mathematical Thinking Skills for Problem Solving
  2. Conversion between Decimal and Binary Systems
  3. Expressing Size and Magnitude
  4. Error in Calculations
  5. Cartesian Coordinate System
  6. Pythagorean Theorem for Finding the Distance between Two Points
  7. Operator Precedence
  8. Integer Division
  9. Modulus
  10. Increments
  11. Mixing Types
Basic Statistics for Data Analytics
4 Lessons
  1. Mean
  2. Standard Deviation
  3. Regression
  4. Sample Size Determination

Welcome to the Data Science Practitioner Learning Material. This comprehensive course is designed to equip you with the foundational knowledge and future-ready skills required to thrive in the modern tech landscape. Throughout this course, you will explore workplace governance and ethics, master the fundamentals of design thinking and innovation, and dive deep into the Fourth Industrial Revolution (4IR), cloud computing, and cybersecurity.

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