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Data Analysis Foundations

Data Analysis Foundations

Why Attend

Participants will embark on a comprehensive journey to understand and apply foundational data analysis techniques in this workshop. Through a blend of practical exercises, this workshop will equip participants with the essential skills to interpret data, extract meaningful insights, and make informed decisions. Through engaging with real-world scenarios, attendees will learn how to navigate the vast landscape of data analysis tools and methodologies, fostering a data-driven approach to problem-solving and helping their organization make evidence-based decisions.

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Overview
Course Methodology

This interactive workshop introduces fundamental data analysis concepts through practical case studies. This dynamic approach allows participants to apply their knowledge to practical scenarios and gain a deeper understanding of using data analysis principles in their work.

Course Objectives

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

  • Analyze data sets to identify significant patterns and trends
  • Evaluate various data analysis tools and methodologies for their effectiveness in different contexts
  • Create visualizations to communicate data insights clearly and effectively
Target Audience

This workshop is designed for professionals who want to expand their knowledge of the foundational principles of data analysis. 

Target Competencies
  • Analyzing business needs
  • Data gathering
  • Data interpretation 
  • Data analysis 
  • Data visualization 
Note

This workshop includes practical exercises using Microsoft Excel. Participants are required to bring their own laptops equipped with this software for the duration of the workshop.

Course Outline
  • Understanding Data Analysis 
    • Data analysis definition
    • Challenges in data analysis
    • Types of data
    • Data analysis process
    • Data cleaning and preprocessing
  • Tools and Methodologies 
    • Overview of data analysis software 
    • Qualitative and quantitative analysis
    • Basic principles of data modeling 
    • Using Excel for data analysis 
    • Introduction to pivot tables
  • Data Visualization and Reporting 
    • Principles of effective data visualization
    • Introduction to data visualization tools
    • Creating charts, graphs, and dashboards
    • Best practices for data reporting
    • From data to decision-making
Schedule & Fees
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