Introduction to Data Analytics training course

Discover the power of data with our Introduction to Data Analytics course. Designed for professionals eager to understand how data drives decision-making, this course covers essential tools, techniques, and strategies. Learn how to harness your organization’s data to develop effective data and digital strategies, and gain insights into its true value for driving success.

JBI training course London UK

" I enjoyed the depth that we covered analytical techniques such as anomaly detection and  cluster analysis, whilst improving my knowledge on DAX and KPIs. The trainer was informative, patient and kept the training engaging."

BC, Performance analyst, Data Analysis with Power BI, April 2021

Public Courses

17/08/26 - 3 days
£1495 +VAT
28/09/26 - 3 days
£1495 +VAT
09/11/26 - 3 days
£1495 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

  • Understanding Data Analytics: Define data analytics and its impact on business-focused decision-making.
  • Pattern Recognition: Learn the fundamentals of identifying and interpreting patterns in data.
  • Data Roles Overview: Differentiate between key data roles, including Data Analyst, Data Scientist, Data Engineer, Business Analyst, and Business Intelligence Analyst.
  • Business Intelligence Essentials: Recognize the value, terminology, and challenges associated with Business Intelligence.
  • Data Mining Techniques: Understand how data mining uncovers insights, patterns, and knowledge advantages.
  • Data Visualization: Appreciate the importance of visual patterns, infographics, and data visualization for effective stakeholder communication.
  • Data Value Awareness: Enhance your understanding of the data your organization holds and how to leverage it effectively.
  • Data Fundamentals: Gain foundational knowledge of data capture, visualization, and its application in business contexts.
  • Data Warehousing: Learn how Data Warehouses facilitate reporting, analysis, and decision-making, and their role in efficient data management.

Module 1: Introduction to Data Analytics

  • Define data analytics and its role in business decision-making
  • Explore the key objectives and benefits of data analytics
  • Understand the different types of data analytics: descriptive, diagnostic, predictive, and prescriptive

Module 2: Pattern Recognition Fundamentals

  • Learn the basics of identifying patterns in data
  • Understand methods for pattern detection and analysis
  • Explore real-world examples of pattern recognition in business contexts

Module 3: Data Roles and Responsibilities

  • Differentiate between Data Analyst, Data Scientist, Data Engineer, Business Analyst, and Business Intelligence Analyst
  • Understand the specific functions and skills required for each role
  • Explore how these roles collaborate in data-driven projects

 

Module 4: Business Intelligence Overview

  • Recognize the value and terminology of Business Intelligence (BI)
  • Understand common challenges faced in BI
  • Explore how BI contributes to strategic decision-making

Module 5: Introduction to Data Mining

  • Understand the purpose and methods of data mining
  • Explore how data mining helps build insights, patterns, and knowledge
  • Learn about common data mining techniques and tools

Module 6: Data Visualization Essentials

  • Appreciate the role of data visualization in communication
  • Learn about visual patterns, infographics, and their impact on stakeholder engagement
  • Explore best practices for creating effective data visualizations

Module 7: Data Value and Manipulation

  • Improve awareness of the data your organization holds
  • Understand methods for manipulating and analyzing data
  • Explore strategies to maximize the value of your data assets

Module 8: Fundamentals of Data Management

  • Gain knowledge of data capture methods and techniques
  • Learn how data is visualized and used in business
  • Explore tools and methods for effective data management

Module 9: Data Warehousing

  • Understand the role of Data Warehouses in data management
  • Learn how Data Warehouses support reporting, analysis, and decision-making
  • Explore the design and functionality of data warehousing systems for efficient reporting and querying

 

JBI training course London UK

  • Business Professionals: Individuals looking to enhance their understanding of data analytics and its impact on business decisions.
  • Data Enthusiasts: Those interested in learning the fundamentals of data roles and analytics techniques.
  • Managers and Executives: Professionals who want to better utilize data for strategic planning and decision-making.
  • Aspiring Analysts: Individuals aiming to build foundational skills in data analytics, visualization, and data management.

5 star

4.8 out of 5 average

" I enjoyed the depth that we covered analytical techniques such as anomaly detection and  cluster analysis, whilst improving my knowledge on DAX and KPIs. The trainer was informative, patient and kept the training engaging."

BC, Performance analyst, Data Analysis with Power BI, April 2021

Watch live client feedback from Data Analytics courses: 

“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and  the Instructor handled this particularly well - very impressive”

Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

JBI training course London UK

Certification


Every delegate will be entitled to a certificate of achievement on completion of the course.

If you are missing your certificate - please use the link below to apply - you can also use this link to sign up for the JBI Training newsletter to receive technology tips directly from our instructors - Analytics, AI, ML, DevOps, Web, Backend and Security.
 



This Introduction to Data Analytics course is designed to provide a comprehensive overview of how data drives business decisions and strategies. Over the course of one day, you'll gain a clear understanding of data analytics fundamentals, from recognizing patterns and differentiating key data roles to leveraging Business Intelligence and data mining techniques.

The course emphasizes practical applications, including data visualization, manipulation, and effective communication of insights to stakeholders. Ideal for professionals across various industries, this course will enhance your ability to make informed decisions and strategically use data to benefit your organization.

JBI Training offers four data analytics courses covering different levels and specialisms. Available courses are Introduction to Data Analytics (three days), Excel for Data Analysts (one day), Dimensional Data Modelling (three days), and Data Analytics Solutions with Azure Databricks (two days). All courses are available as scheduled classroom sessions in London, as live online instructor-led training, or as customised onsite programmes for data and analytics teams.
The Introduction to Data Analytics course is a three-day programme designed for professionals who are new to data analytics or who want to build a solid foundation in analytical thinking and practice. It covers the core concepts of data analysis, working with data from different sources, data cleaning and preparation, descriptive and exploratory analysis techniques, data visualisation principles, and interpreting and communicating analytical findings. It is suited to business analysts, reporting professionals, operations staff, and anyone moving into a more data-focused role who needs a structured foundation before progressing to tool-specific training such as Power BI, Python, or SQL.
Dimensional data modelling is the practice of structuring data in a way that is optimised for analytical querying and business intelligence reporting — as opposed to transactional database design. It is the foundational approach behind data warehouses and data marts, using concepts such as fact tables, dimension tables, star schemas, and snowflake schemas. JBI's three-day Dimensional Data Modelling course covers the theory and practice of dimensional modelling in depth, including how to identify and define business processes, granularity decisions, slowly changing dimensions, and how to design models that perform well at scale and integrate cleanly with BI tools such as Power BI and Tableau. It is suited to data engineers, BI developers, data architects, and analytics engineers who design or work with data warehouse structures.
The two-day Data Analytics Solutions with Azure Databricks course covers how to use the Azure Databricks platform — built on Apache Spark and optimised for the Azure cloud — to build scalable data analytics solutions. Topics include the Databricks workspace environment, ingesting and transforming data using notebooks and Spark DataFrames, Spark SQL for analytical querying, Delta Lake for reliable, versioned data storage, integrating Databricks with Azure Data Lake and Azure Synapse Analytics, and building analytics workflows that support both batch and streaming data. It is suited to data engineers, analytics engineers, and data scientists who work within the Azure data ecosystem and need to process and analyse data at scale.
The Excel for Data Analysts course is a one-day focused programme covering the Excel features and techniques most relevant to analytical work — going beyond basic spreadsheet use to cover tools that professional analysts use for data exploration and reporting. Topics include advanced lookup and reference functions, dynamic arrays, Power Query for importing and transforming data from external sources, PivotTables and PivotCharts for summarising and exploring data, data validation, conditional formatting for visual analysis, and an introduction to the Excel Data Model for handling larger datasets. It is suited to analysts who use Excel regularly but want to work more efficiently and handle more complex datasets without switching to a specialist BI or programming tool.
Yes. All data analytics courses at JBI can be delivered as customised onsite or online programmes for corporate data and analytics teams. Content and exercises can be tailored to the team's existing tools, data sources, skill levels, and analytical objectives. For example, a team new to analytics can receive a structured programme starting with foundations and progressing to tool-specific skills, while an experienced team adopting Azure Databricks can receive training focused specifically on that platform and their cloud architecture. JBI has delivered data analytics training for teams at organisations including the BBC, NHS, RBS, Sky, EDF, and Capita.
Yes. Data analytics is a rapidly evolving field and JBI's training content is continuously reviewed to reflect the latest developments across the tools and techniques covered. This includes updates to Azure Databricks and Delta Lake capabilities, new Excel features including Copilot integration and dynamic array functions, evolving best practices in dimensional modelling for modern cloud data warehouse platforms such as Microsoft Fabric, Snowflake, and BigQuery, and the growing role of AI-assisted analytics in day-to-day analytical workflows. Delegates learn skills that are current and directly applicable to the analytical environments and tools used in professional data roles today.

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