Digital Innovation and Transformation

Data Analysis and Reporting Techniques

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.

Amsterdam - NetherlandsDigital Innovation and Transformation
Course schedules
Upcoming dates Classroom
Start date End date Location Fee Registration
Amsterdam - Netherlands
€2,125 + VAT
→
London - United Kingdom
€2,100 + VAT
→
Istanbul - Türkiye
€1,425 + VAT
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Kuala Lumpur - Malaysia
€1,400 + VAT
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Barcelona - Spain
€1,925 + VAT
→
London - United Kingdom
€2,100 + VAT
→
Munich - Germany
€2,125 + VAT
→
Amsterdam - Netherlands
€2,125 + VAT
→
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Why Attend

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.

Course Objectives
  • 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
Designed for

This program is intended for professionals involved in Digital Innovation and Transformation.

  • 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
Course 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.

Course content
Day1

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
Day2

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
Day3

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
Day4

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
Day5

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
The certificate

SPARK Training Certificate of Completion is awarded to participants who attend and complete the full training course.

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