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In-house training

Data skills

Unlock your team's potential with tailored in-house training from Kaplan.

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Unlock data as a team

Our adaptable content caters to all levels, from beginner to advanced, and is delivered in the format and location that suits your business – live online or in person. We collaborate with you to design training that directly addresses your organisation's goals, delivering a significant return on your investment. Discover some of our popular courses, and remember, we can create a fully customised programme.

Microsoft Office Specialist - Excel Associate

Demonstrate that you have the skills needed to get the most out of Excel by earning the Microsoft Office Specialist (MOS) certification. You and your team must demonstrate the ability to apply the main features of Excel, such as creating and managing worksheets and workbooks; creating cells and ranges; creating tables and using formulas and functions.

  • Course duration: 2 days

  • Course options: Tailored training or a pre-scheduled course

  • Manage worksheets and workbooks
  • Manage data cells and ranges
  • Manage tables and table data
  • Perform operations by using formulas and functions
  • Manage charts

Data Literacy

This course provides a comprehensive introduction to data literacy, equipping learners with the essential skills to navigate and use data effectively in both professional and everyday contexts. It begins with foundational concepts, emphasising the role of data in modern society and the DIKW (Data, Information, Knowledge, Wisdom) framework, before progressing to key areas such as data management, security, and addressing common challenges like dirty or biased data.

  • Course duration: 1 day

  • Course options: Tailored training or a pre-scheduled course

  • Introduction to Data Literacy
  • Define data management and describe how to keep data secure
  • Gathering and communicating insights from data
  • Explain the importance of data storytelling

Data Analysis and Visualisation with Microsoft Excel

This course is designed for employees with foundational Excel skills who wish to perform advanced data and statistical analysis. They will learn powerful tools like PivotTables, Power Query, and Power Pivot to analyse large, complex datasets from various sources. They'll also learn how to build interactive dashboards, perform statistical analysis, and create compelling reports that turn raw data into actionable business intelligence.

  • Course duration: 2 days

  • Course options: Tailored training or a pre-scheduled course

  • Perform data analysis fundamentals
  • Visualise data with Excel
  • Analyse data with formulas and functions
  • Analyse data with PivotTables
  • Present visual insights with dashboards in Excel
  • Create geospatial visualisations with Excel
  • Perform statistical analysis
  • Get and transform data
  • Model and analyse data with Power Pivot
  • Present insights with reports

In-house training

Cost

Competitive pricing

Format

Online / In workplace

Options

Tailored or pre-scheduled

Get in touch to learn more about in-house training solutions tailored for your organisation.

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Why choose Kaplan?

In today’s fast-changing tech landscape, businesses need more than just tool users - they need adaptable problem-solvers who can unlock technology’s full potential to drive performance. That’s where Kaplan steps in.

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Learning excellence

Experience in data and technology learning across the world, our specialist tutors and subject matter experts are educated in, and trusted by, industry.

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Flexing for the future

Our data and technology courses are flexible, future-facing, and can be tailored to industry to enable even greater relevance and application in the workplace.

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Unrivalled support

Kaplan offers a truly holistic support system from industry specialists, encompassing learning, development and a growth mindset.


Upskill your team

Talk to an expert about data and technology

Invest in your team's growth today — contact us to discover how our training solutions can help your organisation thrive.

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