Skip to product information
1 of 1

IT Specialist Data Analytics - Certification Exam Voucher

IT Specialist Data Analytics - Certification Exam Voucher

Regular price $150.00 NZD
Regular price Sale price $150.00 NZD
Sale Sold out

Overview of IT Specialist Data Analytics Certification 

Candidates for this certification have a foundational knowledge of how to responsibly manipulate, analyze, and communicate findings from data. Successful candidates will be able to define and categorize data. They should be able to demonstrate knowledge of data structures, variable types, and responsible analytics practices.

About this ITS Data Analytics Certification Exam

The ITS Data Analytics Certification assesses your ability to apply various types of data analysis, including descriptive, diagnostic, and predictive methods. Candidates should understand how to clean, organize, and aggregate data, create and interpret visualizations, and explain results using appropriate metrics. They should also be familiar with responsible analytics practices, including data privacy laws and bias mitigation.

Why gain Certification?

Those who take and pass ITS certifications are empowered to stand out in the competitive job market, while simplifying daily tasks, boosting productivity and fostering career growth.  

Useful Information

  • ITS Data Analytics Exam is 50 minutes
  • ITS Data Analytics Exam has 35-45 questions

Topics the exam tests you on

Data Basics

  • Define the concept of data
  • Describe basic data variable types
  • Describe basic structures used in data analytics
  • Describe data categories

Data Manipulation

  • Import, store, and export data
  • Clean data
  • Organize data
  • Aggregate data

Data Analysis

  • Describe and differentiate between types of data analysis
  • Describe and differentiate between data aggregation and interpretation metrics
  • Describe and differentiate between exploratory data analysis methods
  • Evaluate and explain the results of data analyses
  • Define and describe the role of artificial intelligence in data analysis

Data Visualization and Communication

  • Report data
  • Create visualizations from data
  • Derive conclusions from a data visualization

Responsible Analytics Practices

  • Describe data privacy laws and best practices
  • Describe best practices for responsible data handling
  • Given a scenario, describe types of bias that affect collection and interpretation of data

Additional Information

View full details