Skill Track
Data Specialist

Data Specialists are responsible for analyzing data and reporting insights from their analysis. They have a deep understanding of the data analysis workflow and report their insights through a combination of coding and non-coding tools.

Data Specialist Courses

We customize the courses you need with your business questions, metrics and data

Data Specialist

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

Advanced SQL

Go beyond the basics and become a SQL master. Learn modern SQL features that let you write more complex and effective queries. Discover Window Functions that enable you to use aggregate functions without collapsing rows. Common Table Expressions make your code better organized and simpler to read. Recursive Queries allow you to process hierarchical data like trees and graphs using SQL.

Data Visualization in Python

One of the most important skills of modern Data Specialists is the ability to tell an engaging story by visualizing data and findings in an approachable way. Python is one of the most popular and simple languages for data visualization. In this course, you’ll discover data visualization techniques with Python libraries such as Matplotlib and Seaborn. You’ll learn to create simple bar charts, pie charts and scatter plots, but also more advanced visualizations such as maps. Finally, through hands-on exercises you’ll get experience with interactive dashboards in Python

Advanced Data Visualization in Power BI

Visualization lets you and your audience understand large amounts of data in a better way. Take your skills to the next level as we show you practice to use Tableau in innovative ways to create stunning visualizations. In this course, you’ll learn to develop reports that will immediately grab the attention. Through hands-on exercises you’ll discover how to create a compelling, creative visual style of your own. By the end of this course, you’ll be able to use Tableau’s native visuals in new ways and create the best custom visuals you need to fill the gaps. 

Advanced Data Visualization in Tableau

Visualization lets you and your audience understand large amounts of data in a better way. Take your skills to the next level as we show you practice to use Tableau in innovative ways to create stunning visualizations. In this course, you’ll learn to develop reports that will immediately grab the attention. Through hands-on exercises you’ll discover how to create a compelling, creative visual style of your own. By the end of this course, you’ll be able to use Tableau’s native visuals in new ways and create the best custom visuals you need to fill the gaps. 

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

Generative AI and Large Language Models are machine learning algorithms that use existing content like text, images, audio, video, and even code to create new content. Models like Bard and ChatGPT are revolutionizing how humans work. In this course, you’ll work in Python to use the GPT and DALL-E models to create your own Large Language Model. In addition, you’ll learn to customize and fine-tune models for your use cases. Finally, you’ll discover how to integrate these models into your own Python application.

“The partnership with Data Booster was in one word amazing. We could not only benefit from an excellent data upskilling program tailored to our specific needs, but also the communication between our employees and the Data Booster team was great. They inspired our employees to get the most out of the courses and always responded 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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