IT Specialist Data Analytics - Single Title Bundle + Retake
IT Specialist Data Analytics - Single Title Bundle + Retake
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Overview of IT Specialist Data Analytics Certification Bundle
The IT Specialist Data Analytics certification helps learners demonstrate introductory knowledge of how to responsibly manipulate, analyze, and communicate findings from data. 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. This certification bundle for ITS Data Analytics includes everything needed to learn, practice, and certify.
Product Summary
This Bundle includes the Learning Materials, Practice Test, and Certification Exam Voucher with Retake providing everything needed to build proficiency and successfully achieve the IT Specialist Data Analytics Certification.
Included Products
- Learn: IT Specialist Data Analytics – Learning Material (LearnKey via GMetrix)
- Practice: IT Specialist Data Analytics – Practice License (CertPREP via GMetrix)
- Certify: IT Specialist Data Analytics – Certification Exam Voucher + Retake
Learn: IT Specialist Data Analytics – Learning Material
What you’ll learn
This course covers data types and sources, data collection and cleaning, exploratory data analysis, visualization techniques, and basic statistical methods. Students will also learn how to use tools and techniques to derive insights from data and communicate findings effectively.
What’s included
- Video-based Training, Exercise Labs, and Pre and Post Assessments
- Flash Cards in addition to a PDF project workbook
- 1-Year Access to Learning Platform
Product Benefits
- Gain the skills to successfully obtain your IT Specialist Data Analytics Certification
- Develop job-ready skills in data analysis and interpretation
- Enjoy flexible, self-paced learning accessible online at any time
Useful Information
- Estimated Completion Time: 19.5 Hours
- Self-paced format with no prior experience required
- Online progress tracking
How your course will be delivered
LearnKey is a premier global provider of self-paced, expert-led training designed for both educational institutions and individual learners and is ACE Training’s preferred partner to host our self-paced courses. Delivered via the GMetrix platform, LearnKey courses are flexible, engaging, and easy to use - bringing the classroom experience directly to you, anytime and anywhere. Each course includes high-quality video instruction, interactive labs, and assessments that align with official exam objectives.
Practice: IT Specialist Data Analytics – Practice License
About this Practice Test
CertPREP Practice Tests are designed to replicate the certification exam experience so you can prepare yourself for the actual exam. Practice tests use the same in-app exam format as the Certiport certification exam and are mapped to the certification objectives so you can be assured you'll be practicing skills to help you pass the certification exam. Practice tests are offered in two modes: Testing and Training Modes. You can either practice under timed conditions or learn at your own pace with step-by-step guidance. This license includes up to 30 attempts over one year for a selected title, ensuring targeted, effective exam preparation.
What the Practice Test measures
- Data Basics
- Data Manipulation
- Data Analysis
- Data Visualization and Communication
- Responsible Analytics Practices
Topics covered
- Define data concepts, types, structures, and categories
- Import, clean, organize, and aggregate data using tools like SQL, R, Python, and Excel
- Understand types of data analysis and metrics
- Perform exploratory data analysis and interpret statistical results
- Understand the role of AI and machine learning in data analysis
- Create and interpret data visualizations (e.g., charts, graphs, diagrams)
- Report findings and draw conclusions from visual data
- Understand data privacy laws and responsible data handling
- Identify and mitigate bias in data collection and interpretation
What’s included
- 1-year access to GMetrix, and 30 Practice Test attempts
- 100 questions, covering all question types found on the vendor exam and a Study Guide
- Testing Mode: Timed practice tests that provide accurate feedback on strengths and weaknesses after completion
- Training Mode: Untimed practice tests that let you work at your own pace and receive feedback and step-by-step instructions for each question
Certify: IT Specialist Data Analytics – Certification Exam Voucher + Retake
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.
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
- Find Objective Domains here: IT Specialist Data Analytics
- Exam tutorial here: IT Specialist exam tutorial
