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Data Science Practitioner
Transform your passion for data into actionable insights with our Data Science Practitioner programme. In this practical and engaging course, we dive into the world of data science and unlock the power of analysis and visualisation, equipping you with the critical skills and knowledge needed to excel in the field of data science.
You'll master foundational concepts in data analysis, computing systems, and basic statistics, while also delving into advanced topics like data visualisation and ethical considerations. Our comprehensive modules will guide you through essential skills such as logical thinking, statistical analysis, and innovative design thinking.
“Red & Yellow provides the skills necessary for the workplace. The projects given to students are not just based on theory but practicals and research processes are an essential part of the course, which is what creatives look for when applying.”
Khuthala Ngqayimbana
Desktop Publishing Designer at Ogilvy
Get an in-demand QCTO qualification
By the end of this programme, you’ll be proficient in harnessing data to drive decision-making, design impactful solutions, and navigate the complexities of data governance.
Through practical activities and workplace experience modules, you will put your newly found knowledge to the test and apply what you have learnt.
By the end of the programme, you will be ready to turn raw data into strategic insights and elevate your career with cutting-edge expertise in data science.
What you’ll learn
- Collect large amounts of structured and unstructured data and extract and transform them into a usable format.
- Analyse data to uncover patterns and trends in datasets to solve business problems.
- Prepare and present descriptive analytics reports on patterns and trends using computer programming languages.
- Explain data patterns and trends through data visualisation and storytelling.
- Use industry recognised data data visualisation tools.
What do Data Science Practitioners do?
Data Science Practitioners transform raw data into a structured, usable format. They collect, ‘clean’, and analyse data to solve business problems. They prepare powerful data for storage, making it an impactful tool for business success.
This online certification is perfect for:
- Aspiring data practitioners
- Anyone who wants to learn how to work with large amounts of data and how to analyse use data visualisation and storytelling to inform and persuade
Red & Yellow courses are made to future-proof your career
Our courses are designed to accelerate opportunities and give a boost to your CV. Top businesses across industries recognise Red & Yellow graduates as having the practical skills and the theoretical background to hit the ground running with confidence and creative flair.
Course curriculum:
Introduction to Data Science and Data Analysis
Discover the core principles of data science and analysis, exploring how to gather, process, and interpret data. Build a solid understanding of data workflows, from initial collection to drawing actionable insights.
Desktop and Professional Software to Communicate and Visualise Information
Refresh your logical thinking and calculation skills. Revisit key concepts in problem-solving and basic math, crucial for data analysis success. Enhance your ability to approach problems methodically and efficiently, laying a strong foundation for more advanced data science tasks.
Computers and Computing Systems
Get to know the nuts and bolts of computers and their systems. Explore how computing systems operate, including hardware, software, and networking fundamentals. Understand the technological backbone of data science, equipping yourself with the knowledge to work effectively with various computing environments and tools.
Computing Theory
Learn the principles that govern computer systems and algorithms, including fundamental concepts of data structures and computational complexity. This theoretical foundation will enhance your understanding of how computing systems process and manage data, essential for effective data analysis.
Statistics for Data Analytics
Master the basics of statistics. Learn to apply statistical methods to analyse and interpret data, including measures of central tendency, dispersion, and probability. Build your skills in data summarisation and visualisation, setting the stage for more advanced analytical techniques and informed decision-making.
Statistics Essentials for Data Analytics
Advance your statistical expertise. Dive deeper into statistical concepts and techniques, focusing on their application in data analytics. Explore hypothesis testing, regression analysis, and statistical inference to extract meaningful insights from data. This module is your gateway to mastering advanced statistical methods for robust data analysis.
Data Science and Data Analysis
Elevate your data science skills. Explore advanced techniques in data analysis, including data wrangling, predictive modeling, and machine learning. Apply these techniques to real-world datasets, enhancing your ability to uncover trends and make data-driven decisions. Prepare to tackle complex data challenges with confidence and expertise.
Data Analysis and Visualisation
Transform data into compelling visuals. Learn to analyse and present data effectively using advanced visualisation tools and techniques. Create informative charts, graphs, and dashboards that communicate insights clearly and persuasively.
Introduction to Governance, Legislation and Ethics
Navigate the landscape of data governance. Understand the principles of data protection, privacy laws, and ethical considerations in data handling. Learn to apply legal and ethical frameworks to your data practices, ensuring compliance and fostering trust in your data-driven decisions.
Fundamentals of Design Thinking and Innovation
Unlock your creative potential. Explore the fundamentals of problem-solving through a user-centered approach, applying design thinking principles to drive innovation. Learn techniques for brainstorming, prototyping, and testing ideas, equipping yourself to tackle challenges with creativity and insight.
4IR and Future Skills
Get ready for the Fourth Industrial Revolution (4IR). Explore emerging technologies and their impact on the data science field, including AI, automation, and data-driven innovations. Develop skills essential for navigating and thriving in a rapidly evolving digital landscape, preparing you for future challenges and opportunities.
Meet your team:
This course was created by, and benefits from, our full-time lecturers’ years of experience in the field – both in lecturing and in industry. They know how to nurture talent and bring out the best in students, resulting in many award-wins over the years.
About Red & Yellow
Creative thinking is the most important skill. Artificial Intelligence and robots are going to replace some of the jobs we know today.
Red & Yellow is the business school where talented people go to develop the career skills they need to thrive in this digital world.
R&Y unlocks creative thinking to build brilliant careers and organisations using Commercial Logic and Creative Magic.
We are vision-led and values-driven and we are developing the next generation of changemakers, creators and innovators.
We believe creative thinking is the most important skill of the future and it must be supported by uniquely human abilities such as leadership, adaptability and social intelligence.
We are a Creative School of Business that provides you with the commercial logic to grow successful organisations and more importantly the creative magic to set them apart.
We are teaching the great creators, inventors, leaders and entrepreneurs for the 21st Century.
We will be the most creative business school in the world.
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Design thinking is a process that can be used by marketers to understand their users. By applying design thinking, they understand, define, and redefine assumptions and problems and create solutions for the market. The most important characteristic of design thinking is that it is non-linear and iterative.
Because this process forces marketers to understand their users’ needs (and, in fact, broader needs), it results in ideas that can be prototyped and tested. This keeps the marketers close to the users and results in products and services that actually meet people’s needs — not just what companies think people need.
The five stages of design thinking are: empathise, define, ideate, prototype, test.
Notice that there is emphasis on prototyping and testing, as well as empathising. This is important because it is what makes design thinking so useful. Instead of working apart from customers and putting a product or service in the market that falls short, this process allows for more granular market research and iterative design.