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CompTIA Data+ Certification Course - Oman

  • 4.8(498056 Rating)

Duration

5 days

Language

English / Arabic

Batch Options

4 hours & 8 hours

Upcoming Batch

January 8, 2024
Overview Schedule Dates Course Content Faqs

Course Overview

CompTIA Data+ is a Data Analytics Training Course for early-career professionals who want to develop and promote data-driven decision-making. It teaches individuals to collect, analyse, and report on data to drive business priorities and make better data-driven decisions.

CompTIA Data+ is a vendor-neutral credential that validates an individual’s knowledge and skills in Data Analytics. This course is designed for individuals who are interested in pursuing a career in Data Analytics, as well as for professionals who are looking to update their skills and knowledge in this field.

In our 2-day CompTIA Data+ Training, delegates gain a thorough understanding of the essential concepts of data schemas and dimensions, as well as the differences between common data structures and file formats. They learn how to translate business requirements into a proper visualisation in the form of a report or dashboard with the necessary design elements.

Multiple Routes of Delivery to
Fit Your Timetable

We understand that flexibility is key to effective learning and development, especially in today’s dynamic work environment. That’s why we offer multiple delivery formats for our IT trainings in UAE. Whether you prefer the interaction of in-person classes, the convenience of live virtual training, or the independence of self-paced online learning, we have a solution tailored to your schedule. Our goal is to make professional growth accessible to everyone, allowing you to upskill without compromising your other commitments.

Online Instructor Led

Learn from the comforts of your home/office with our expert trainers via online platforms.

Classroom Training

Face-to-face physical classroom training with max interactions at our 5* training venues.

Onsite Training

Learn in your own environment from our expert trainers for maximum impact.

Overseas Training

Choose your desired country for learning with our expert trainers.

What you will learn in this course

  • To understand the basics of data and data analytics, including data mining, manipulation, visualisation, and reporting
  • To apply basic statistical methods to data analysis
  • To understand data governance and quality standards
  • To use data analysis tools and techniques to solve real-world problems
  • To apply the best practices for managing and protecting data, including data governance policies and procedures, data quality management, and data security

Target Audiance

  • Data Analysts
  • Database Administrators
  • Data Engineers
  • Business Analyst
  • Entry-level Data Scientists
  • Systems Analysts
  • IT Managers
  • Data Consultants

Course requirements

  • There are no formal prerequisites to attend the CompTIA Data+ Certification Training Course, but to be eligible for the certification exam, you must have a minimum of 18-24 months of experience in a report/Business Analyst role, be familiar with databases and analytics tools, possess a foundational knowledge of statistics, and have experience in data visualisation.
This course includes:
  • Soft copy of Courseware
  • Certificate of Course Complition
  • Experienced and Professional Trainer
  • Lab and Exercises During Training
  • Sample Questions for Exam Prepration
  • Mock Test on the Last Day of Training
  • Exam Registration Guidance
  • 5-Star Training Environmment
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Schedule Dates

20 January 2025 - 24 January 2025
CompTIA Data+
21 April 2025 - 25 April 2025
CompTIA Data+
21 July 2025 - 25 July 2025
CompTIA Data+
27 October 2025 - 31 October 2025
CompTIA Data+

Course Content

  • Identify the Key Differences Between Relational and Non-Relational Databases
  • Identify the Way We Use Tables, Primary Keys, and Normalisation

  • Describe Types of Data Processing and Storage Systems
  • Explain How Data Changes

  • Understand Types of Data
  • Break Down the Field Data Types

  • Differentiate Between Structured Data and Unstructured Data
  • Recognise Different File Formats
  • Understand the Different Code Languages Used for Data

  • Understand the Processes of Extracting, Transforming, and Loading Data
  • Explain API/Web Scraping and Other Collection Methods
  • Collect and Use Public Data
  • Use and Collect Survey Data

  • Learn to Profile Data
  • Address Redundant and Duplicated Data
  • Work with Missing Values
  • Address Invalid Data
  • Convert Data to Meet Specifications

  • Recode Data and Derived Variables
  • Transpose and Append Data
  • Query Data

  • Explain Common Techniques for Data Manipulation and Optimisation
  • Use Common Techniques for Query Optimisation

  • Use Measures of Central Tendency
  • Use Measures of Dispersion
  • Use Frequencies and Percentages

  • Get Started with Analysis
  • Recognise Types of Analysis

  • Understand the Importance of Statistical Tests
  • Break Down the Hypothesis Test
  • Understand Tests and Methods to Determine Relationships Between Variables

  • Use Basic Visuals
  • Build Advanced Visuals
  • Build Maps with Geographical Data
  • Use Visuals to Tell a Story

  • Consider Audience Needs When Developing a Report
  • Describe Data Source Considerations for Reporting
  • Describe Considerations for Delivering Reports and Dashboards
  • Develop Reports or Dashboards
  • Understand Ways to Sort and Filter Data

  • Design Elements for Reports/Dashboards
  • Utilise Standard Elements
  • Create a Narrative and Other Written Elements
  • Understand Deployment Considerations

  • Understand How Updates and Timing Affect Reporting
  • Differentiate Between Types of Reports

  • Define Data Governance
  • Understanding Access Requirements and Policies
  • Understand Security Requirements
  • Understanding Entity Relationship Requirements

  • Describe Characteristics, Rules, and Metrics of Data Quality
  • Identify Reasons to Quality Check Data and Methods of Data Validation

  • Explain the Basics of Master Data Management
  • Describe Master Data Management Processes

FAQs

There are no formal prerequisites required to attend this CompTIA Data+ Certification Training course.

This CompTIA Data+ course is ideal for any professional tasked with developing and promoting data-driven business decision-making.

Pursuing this CompTIA Data+ certification training course will lead you to attain many greater opportunities such as training consultant, training developer/instructor, career technical training instructor, academic instructor, and many other reputed job titles.

Professionals with CompTIA Data+ Certification have the skills needed to make data-driven business decisions, such as mining, manipulating, visualising, and reporting data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards throughout the data life cycle.

During this training course, you will learn various essential concepts of data schemas and dimensions and the differences between common data structures and file formats. They will also learn how to translate business requirements into a proper visualisation in the form of a report or dashboard with the necessary design elements.

Yes, there is an expiry date for the CompTIA Data+ certification course. Upon successful completion of the exam, this certification remains valid for a duration of three years. To ensure the certification’s continuity, it is essential to renew it before the expiration date. The CompTIA Continuing Education (CE) program provides opportunities to extend the certification in three-year intervals by engaging in activities and training relevant to the certification’s content. Failure to renew within the three-year period will result in the expiration of the certification, requiring individuals to retake the latest exam version to reactivate their certification.

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