Data Analytics

Duration: 18 hours
Delivery: 2 options
Full-time for 3 consecutive days
Part-time, one 3-hour session / week, for 6 weeks

Courses are run at different times for these zones:
Central and Eastern Standard Time (CST, EST)
Atlantic Standard Time and Greenwich Meantime (AST, GMT),
Central and Eastern European Time (CET, EET),
Gulf Standard Time (GST)

Duration: 24 hours
Full-time over 4 consecutive days, or scheduled as per requirements

*Discounts for groups of +10

"Thank you for thoroughly and patiently explaining difficult concepts in a simple language."    Sazi Mgobhozi

“Day 4 was interesting the Data Storytelling and communication. I also like Data Governance, Data Quality; Data Lifecyle and Data Science. The entire Analysis process interests me because of the ability to probe questions, to engage and obtain the views of others resulting in the ability to be able to always create and think out of the box is what stimulates me.”  Lynne Dreyden

“Great examples and analogies. And wonderful visual presentation.”    Sardha Moodley

“I didn't know the data terminology and I do reports on daily basis but this course helped me a lot.” Dieketseng Khasuli

Delegates will learn how to turn raw data into actionable insights, which can drive data-driven decision-making.

Starting with the fundamentals of data, to ensure delegates understand the Data Language, Terms, Concepts and Data Management Disciplines, to appreciate the overall Data Ecosystem.

Covering the processes of Data Analytics, including defining stakeholder requirements and data sources, connecting, and manipulating, data modelling, profiling, validation and data quality, data analysis expressions, metrics and scorecards, data visualisation, storytelling, and report creation. We also cover governance and ethical considerations, re-enforcing the need to handle sensitive data responsibly.

A case study is used to provide hands-on practice, with exercises using Microsoft Excel or PowerBI.

This course consists of the following:

• The Data Terms & Concepts
  • Data Literacy
  • Data, Information, Knowledge & Wisdom
  • Types of data – structured, unstructured and the Data Hierarchy
  • Data Lifecycle, Lineage, and Dimensions
  • Data Management Disciplines & Frameworks
  • Roles & Responsibilities
    
    
• Preparing Data
  • Requirements and Data Sources
  • Connecting and Manipulating data
  • Data Modelling
  • Profiling, Validation and Data Quality
  • Analysis & Analytics, Statistics
  • Data Analysis Expressions and Techniques
    
    
• Producing the Results
  • Visualisation and Interpretation
  • Data Metrics, Dashboards and Scorecards
  • Communication and Storytelling
  • Preparing the reports
  • Governance and Ethics
    
    
• The Future of Data Analytics
  • Technology and tools
  • Artificial Intelligence and Machine Learning
  • Sustainability and other considerations.

After attending this course, delegates will:

• Understand the Terms and Concepts of Data
• Appreciate the fundamental elements of Data Management
• Understand the different aspects of Data Analytics
• Appreciate their part in creating quality data
• Have the skills and knowledge to:
  • Analyse Data
  • Correctly interpret Data
  • Visualise stories and create powerful reports
  • Communicate results effectively
• Know how to use technology, such as Microsoft Excel/ PowerBI, for analysis and report creation
• Understand how the role of Data Analytics supports operations and decision-making
• Be able to help others make better use of data for improved results.

* A certificate of attendance will be provided on completion of the course