Course details
Seminar content
What you will learn
Course Introduction
In today's data-driven world, organizations rely on accurate and insightful data analysis to make informed decisions.
This Data Analysis and Reporting Techniques training course equips participants with the skills to analyze data effectively, derive actionable insights, and present findings through professional reports. Utilizing practical tools and real-world scenarios, this training provides hands-on experience to enhance your data analytics and reporting capabilities.
Training Objectives
By the end of this training course, participants will be able to:
- Master foundational and advanced data analysis techniques
- Learn how to use tools such as Excel, Power BI, and Tableau for analytics and visualization
- Understand data cleaning, preparation, and exploration processes
- Gain the ability to create meaningful, visually appealing, and actionable reports
- Enhance decision-making through data-driven insights
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:
- Business analysts
- Data analysts and reporting professionals
- Managers and decision-makers relying on data insights
- Professionals involved in business intelligence and reporting
- Anyone seeking to enhance their data analysis and reporting skills
Benefits
Why attend this seminar
- Build current, practical knowledge in digital innovation and transformation.
- Translate the course ideas into actions you can use immediately at work.
- Review real schedule options across 10 venues and live dates.
- Connect course detail, venue, and category routes in one workflow.
Methodology
How the course is delivered
- Structured seminar input and guided discussion.
- Applied examples using current business situations.
- Focused explanations based on the stored overview and outline.
- Clear next steps for implementation after the course.
Target audience
Who this is for
- Professionals responsible for digital innovation and transformation.
- Managers, specialists, and team leads who need applied skills.
- Participants looking for a focused route into Data Analysis and Reporting Techniques.
Seminar details
Detailed outline
Day One: Fundamentals of Data Analysis
- Introduction to Data Analysis: Concepts and Importance
- Data Types and Data Sources
- Data Cleaning and Preparation Techniques
- Exploring Data with Statistical Tools
- Hands-on Practice: Cleaning Raw Data for Analysis
Day Two: Data Analysis Techniques
- Descriptive Statistics: Mean, Median, Mode, and Variance
- Introduction to Inferential Statistics
- Data Analysis Using Excel: Functions and Formulas
- Hands-on Practice: Conducting Basic Analysis with Spreadsheets
- Case Study: Analyzing Business Trends
Day Three: Data Visualization for Reporting
- Principles of Effective Data Visualization
- Tools for Visualization: Excel, Power BI, and Tableau Overview
- Creating Charts, Graphs, and Dashboards
- Interactive Reporting with Power BI
- Hands-on Practice: Building a Dashboard for Real-Time Insights
Day Four: Advanced Reporting Techniques
- Storytelling with Data: Crafting the Narrative
- Report Automation: Using Macros and Scripts
- Analyzing Trends and Predictive Reporting
- Best Practices in Report Writing and Formatting
- Hands-on Practice: Creating a Professional Business Report
Day Five: Integration and Practical Applications
- Integrating Data from Multiple Sources
- Scenario Analysis and Decision Modeling
- Data-Driven Decision-Making in Real-World Scenarios
- Group Exercise: Presenting Findings to Stakeholders
Dates and locations
Available seminar dates
| Date | City | Duration | Price | |
|---|---|---|---|---|
| 6 - 10 April 2026 | Frankfurt - Germany | 5 Days | €3,250.- | Book now |
| 11 - 15 May 2026 | Rome - Italy | 5 Days | €4,250.- | Book now |
| 8 - 12 June 2026 | Kuala lumpur - Malaysia | 5 Days | €2,250.- | Book now |
| 6 - 10 July 2026 | Barcelona - Spain | 5 Days | €3,850.- | Book now |
| 10 - 14 August 2026 | London - U.K | 5 Days | €4,200.- | Book now |
| 14 - 18 September 2026 | Munich - Germany | 5 Days | €3,450.- | Book now |
| 5 - 9 October 2026 | Amsterdam - Netherlands | 5 Days | €4,250.- | Book now |
| 16 - 20 November 2026 | London - U.K | 5 Days | €4,200.- | Book now |
| 7 - 11 December 2026 | Istanbul - Turkey | 5 Days | €2,850.- | Book now |
| Date | Duration | Price | |
|---|---|---|---|
| 6 - 10 April 2026 | 5 Days | €2,250.- | Book now |
| 11 - 15 May 2026 | 5 Days | €2,250.- | Book now |
| 8 - 12 June 2026 | 5 Days | €2,250.- | Book now |
| 6 - 10 July 2026 | 5 Days | €2,250.- | Book now |
| 10 - 14 August 2026 | 5 Days | €2,250.- | Book now |
| 14 - 18 September 2026 | 5 Days | €2,250.- | Book now |
| 5 - 9 October 2026 | 5 Days | €2,250.- | Book now |
| 16 - 20 November 2026 | 5 Days | €2,250.- | Book now |
| 7 - 11 December 2026 | 5 Days | €2,250.- | Book now |
Course certificate
Certificate awarded on completion
Every participant who completes this seminar receives a professional course certificate from INFORAMTECH.
- Participants receive an INFORAMTECH certificate for completing Data Analysis and Reporting Techniques.
- The certificate recognises attendance and successful participation in the seminar.
- It can support professional development records within digital innovation and transformation and related functions.
Information about
Frequently asked questions
When is my seat confirmed?
Your seat is confirmed once full payment has been received.
Do you offer group discounts?
Yes, we offer the following discounts for group bookings:
- 2 participants: 20% discount
- 3 participants: 35% discount
- 5 or more participants: 50% discount
Can discounts be combined with other offers?
No, discounts cannot be combined unless explicitly stated.
What payment methods do you accept?
We accept bank transfers, credit/debit cards, and selected online payment methods.
When do I need to pay?
Full payment must be completed before the course start date to secure your participation.
Is VAT included in the course fee?
VAT treatment depends on your location and status:
- EU Companies (with valid VAT number): VAT may be reverse charged (0%)
- EU Individuals (without VAT number): VAT is applicable based on local regulations
- Non-EU Participants: VAT is generally not applicable (0%)
Can I get a VAT invoice?
Yes, all participants receive an official invoice. EU companies must provide a valid VAT number.
Can I cancel my registration?
Yes, cancellations must be submitted in writing.
What is your refund policy?
- More than 14 days before the course: Full refund
- 7-14 days before the course: 50% refund
- Less than 7 days before the course: No refund
Can I transfer my seat to another person?
Yes, substitutions are allowed at no extra cost if requested before the course start date.
What happens if the course is postponed or canceled?
We reserve the right to reschedule or cancel a course due to unforeseen circumstances. In such cases, you may:
- Transfer to another date
- Receive full refund
Will I receive a certificate?
Yes, all participants will receive a certificate of completion after attending the course.
Is attendance mandatory?
Yes, full attendance is required to receive certification.
Are your courses online or in-person?
We offer both in-person and virtual (live online) training options.
Will course materials be provided?
Yes, all participants receive training materials in digital format.
Are travel and accommodation included?
No, participants are responsible for their own travel and accommodation unless otherwise stated.
Can you deliver customized or in-house training?
Yes, we offer tailored training programs based on your organization's needs.
How can I contact you for support?
You can reach us via email info@inforamtech.uk or through our contact form. Our team will respond promptly.
Testimonials
The structure of Data Analysis and Reporting Techniques made the topic practical and easy to apply immediately.
The venue and date options made planning the right session straightforward.
Clear content, relevant examples, and useful follow-up topics for the next training step.
Related courses
Course
Power BI: Data Mining and Big Data Analytics
Course
The Complete Course on Data Science & Big Data Analytics
Course
Fundamentals of Artificial Intelligence (AI)
Course