Data & AI Persona
Data & AI Specialist

Specialists are responsible for surfacing data insights, running experiments, creating predictive models, and providing value with data. They have a deep understanding of the data analysis workflow and report their insights through a combination of coding and non-coding tools. Specialists develop and implement AI products to improve decisions and increase productivity.

Popular Data & AI Specialist Courses

We customize the courses with your business questions, use cases and data

Data & AI Specialist

Choose the courses that bring your Data Specialists the skills they need to succeed in your organization

SQL Fundamentals

In today’s data-driven world, mastering SQL is essential, whether you’re in product, marketing, analytics, or finance. It empowers you to access raw data, analyze it and transform it into actionable insights for informed decision making. In this course, you will learn how to use SQL for decision making. You will start with the basics of SQL and select data from one table. Afterwards, you will filter this data with WHERE conditions, using logical operators. Finally, you’ll explore how to make simple joins to combine data from multiple tables.

Data Analysis in Python

Python is a powerful tool used at organizations to analyze data on customer behavior, operational performance, and more. This interactive course will help you to leverage Python for data analysis on these datasets. You will gain a solid understanding of Python’s core concepts and the relevant syntax for data analysis. Next, you will learn to work with pandas, NumPy, and other essential libraries for data manipulation, cleaning, and exploration. Finally, you will create visualizations using libraries like Matplotlib and Seaborn to uncover trends and patterns in our data. All this will help you to answer business questions and drive data-informed decisions.

Designing and Analyzing Experiments

Did you know that Amazon runs thousands of online experiments every day to improve its pricing and products? Companies are now quick to realise that you can only be digital and data-driven with experimentation. This course tackles everything you need to know to execute experiments successfully. You’ll learn to design an experiment and select the right metrics. You’ll be introduced to the most common experimentation pitfalls and how to avoid them. Finally, you’ll learn to analyze the results of your experiments.

Machine Learning Fundamentals

Machine learning is making the computer learn from studying data and statistics. It has has many practical applications that you can use in your projects or on the job. In this course, you’ll learn how to build predictive models with machine learning. You’ll develop supervised learning algorithms, including classification and regression. By the end of this course you’ll be able to support important decisions, such as which service requests to prioritise or what to do to prevent a customer from churning.

Generative AI and LLMs

In this course, you’ll deep dive into the world of Large Language Models (LLMs) and discover how they are reshaping the AI landscape. You’ll see how they revolutionize businesses and everyday life with real-world examples and learn about their building blocks. As you progress, you’ll gain insights into the training methodologies too. Finally, you’ll tackle the critical ethical and environmental considerations for LLMs and see what the future of LLMs could look like. By the end of this course, you’ll have a comprehensive understanding of LLMs, their capabilities, applications, and challenges.

“The partnership with Data Booster is in one word amazing. We can not only benefit from an excellent data upskilling program tailored to our specific needs, but also the communication between our team and the Data Booster team is great. They inspire our employees to get the most out of the courses and always respond fast – even with new feature launches on their learning platform. That’s why I couldn’t be more excited about expanding the partnership into a wider range of data topics, like Machine Learning and AI, experimentation, and Data Leadership.”

Daniel Bos
Director of Data & Analytics
Just Eat Takeaway

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