Most companies have plenty of data – but it only becomes useful through careful preparation and asking the right questions. Data science combines statistics, programming and domain knowledge to derive reliable insights and forecasts from raw data.
In our Data Science courses, you work through the entire process: obtaining and cleaning data, testing relationships with statistical methods, training predictive models and visualising results clearly. You work with common tools on realistic datasets and also learn to assess the limitations and sources of error in your analyses.
A practical Python training course for beginners and beyond that takes participants from the basics of writing and running Python scripts through to more advanced features.
In this course, you learn the fundamentals of programming in Python and develop applications that demonstrate your understanding of the language.
In this course, participants learn general strategies for planning, designing, developing, implementing and maintaining an IoT system through various case studies as well as by assembling and configuring an IoT device for use in a sensor network. Participants build an IoT device based on an ESP8266 microcontroller and implement various common IoT functions such as analogue and digital sensors, a web-based interface, MQTT messaging and data encryption.
DP-600 is the analytics course on Microsoft Fabric – the path from raw data to a robust semantic model that Power BI reports build on. You prepare data, build star schemas, write advanced DAX and optimise models for enterprise use. The course prepares you for the DP-600 exam (certification «Microsoft Certified: Fabric Analytics Engineer Associate»).
Microsoft Fabric brings data engineering, data warehousing, real-time analytics and Power BI together on a single platform. In DP-700 you use it to build a complete data pipeline: set up workspaces and governance, ingest and transform batch and streaming data, and monitor and optimise the result. The course prepares you for the DP-700 exam (certification «Microsoft Certified: Fabric Data Engineer Associate»).
PL-300 is the course for anyone who wants to do more with Power BI than build colourful charts. You learn the complete path: connect and clean data, build a solid data model, calculate with DAX, design reports that people actually understand – and distribute and secure the result cleanly. The course prepares you for the PL-300 exam (certification «Microsoft Certified: Power BI Data Analyst Associate»).
This course covers the theoretical and technical aspects of using Python in applied data science projects and in data logistics use cases.
The era of "Big Data" has seen enormous growth thanks to the rise of cloud computing. It provides computing power and storage in abundance, allowing organisations of all kinds to capture and store data. Anyone who uses this data effectively can gain timely insights and competitive advantages. This course introduces you to Tableau. Tableau was designed to connect to a wide variety of data sources and enables users to quickly create visualisations of connected data in order to gain insights, reveal trends and create reports. You will learn about Tableau's data connection capabilities and visualisation features, which go far beyond what spreadsheets offer. This allows you to create compelling, interactive worksheets, dashboards and stories that bring your data to life and enable you to take well-considered action.
With the rise of cloud computing and cloud storage, the era of «Big Data» has begun. Thanks to the abundance of computing power and storage, organisations and employees with very different roles and responsibilities can benefit from data analysis to gain timely insights and achieve competitive advantages. Data-driven visualisations let everyone explore, analyse and report on insights and trends from data. The Tableau® software is designed exactly for this purpose. Tableau was developed to connect to a wide variety of data sources and enables users to quickly create visualisations of connected data in order to gain insights, reveal trends and create reports. Beyond the basic capabilities of creating data-driven visualisations, users can use Tableau to manipulate data with calculations to surface insights, make visualisations interactive and perform statistical analysis. This allows users to create data-driven insights and share them with colleagues, executives and customers.
