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Professional training course

The Power of Data Analytics: Using Excel and SQL

Course Introduction In today’s data-driven world, the ability to harness the power of data is a critical skill for professionals across all industries. The Power of Data…

  • 5 daysClassroom
  • 13Upcoming dates
  • 6Cities
  • £2,550Fees from

Course overview

Course Introduction

In today’s data-driven world, the ability to harness the power of data is a critical skill for professionals across all industries.

The Power of Data Analytics: Using Excel and SQL training course is designed to empower participants with the tools and techniques needed to analyze, interpret, and present data effectively. SQL provides the robust querying capabilities to access and manage large datasets, while Excel offers intuitive functions for advanced analysis and visualization.

This The Power of Data Analytics: Using Excel and SQL training course bridges these powerful tools, equipping participants to seamlessly integrate SQL's data-handling strengths with Excel’s analytical capabilities.

Through real-world examples and hands-on exercises, attendees will learn to transform raw data into meaningful insights, enhancing decision-making and driving impactful business results. Whether you are an aspiring data analyst or a professional looking to refine your skills, this course will unlock your potential to leverage data as a strategic asset.

Training Objectives

By the end of this training course, participants will be able to:

  • Understand the principles and best practices of data analytics
  • Query and manipulate data effectively using SQL
  • Perform advanced data analysis and visualization in Excel
  • Integrate SQL and Excel to enhance analytical efficiency
  • Extract actionable insights from complex datasets
  • Present data-driven findings to support strategic decisions

Training Methodology

This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.

Who should Attend?

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Data analysts and business intelligence professionals
  • Managers and team leaders looking to leverage data for decision-making
  • Professionals in finance, marketing, operations, or any field involving data analysis
  • Anyone interested in enhancing their data analytics skills with SQL and Excel


Course outline

Day One: Foundations of Data Analytics

  • Introduction to data analytics and its role in business success
  • Overview of SQL and Excel in the analytics workflow
  • Data types, structures, and the basics of database management
  • Setting up and accessing data in SQL databases and Excel

Day Two: SQL for Data Querying and Management

  • Understanding SQL syntax and commands
  • Writing basic SQL queries: SELECT, WHERE, GROUP BY, and ORDER BY
  • Performing data joins and merging datasets
  • Aggregating and summarizing data using SQL functions
  • Hands-on exercises: Querying and extracting data from databases

Day Three: Excel for Advanced Data Analysis

  • Importing and cleaning data in Excel.
  • Using formulas and functions for data transformation
  • Creating PivotTables and PivotCharts for dynamic reporting
  • Statistical analysis in Excel: Descriptive statistics, regression, and correlation
  • Hands-on exercises: Analyzing real-world datasets in Excel

Day Four: Integrating SQL and Excel for Analytics

  • Exporting SQL query results to Excel for further analysis
  • Automating data workflows between SQL and Excel
  • Combining SQL queries and Excel features for advanced reporting
  • Practical examples: End-to-end data analysis projects

Day Five: Data Visualization and Reporting

  • Principles of effective data visualization
  • Creating compelling dashboards and reports in Excel
  • Presenting SQL data in visual formats for stakeholders
  • Case studies: Solving business challenges with SQL and Excel analytics
  • Developing a personal action plan for applying learned skills


Dates and fees

14DEC 14 - 18 Dec 20265 days BarcelonaSpain £3,850per delegate Register
18JAN 18 - 22 Jan 20275 days MunichGermany £4,250per delegate Register
15FEB 15 - 19 Feb 20275 days DubaiUnited Arab Emirates £2,550per delegate Register
15MAR 15 - 19 Mar 20275 days IstanbulTurkey £2,850per delegate Register
19APR 19 - 23 Apr 20275 days RomeItaly £4,250per delegate Register
17MAY 17 - 21 May 20275 days IstanbulTurkey £2,850per delegate Register
21JUN 21 - 25 Jun 20275 days Cape TownSouth Africa £4,250per delegate Register
19JUL 19 - 23 Jul 20275 days BarcelonaSpain £3,850per delegate Register
16AUG 16 - 20 Aug 20275 days MunichGermany £4,250per delegate Register
20SEP 20 - 24 Sep 20275 days DubaiUnited Arab Emirates £4,250per delegate Register
18OCT 18 - 22 Oct 20275 days IstanbulTurkey £2,850per delegate Register
15NOV 15 - 19 Nov 20275 days RomeItaly £4,250per delegate Register
20DEC 20 - 24 Dec 20275 days IstanbulTurkey £2,850per delegate Register

Questions

Frequently asked questions

How long is the The Power of Data Analytics: Using Excel and SQL course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next The Power of Data Analytics: Using Excel and SQL course?

The next public date is 14 - 18 Dec 2026 in Barcelona. There are 13 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Barcelona, Munich, Dubai, Istanbul, Rome, Cape Town.

How much does the course cost?

Fees start from £2,550 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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