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CompTIA Data+ Certification Training

Learning Tree International AB, i Stockholm (+5 orter)
Längd
5 dagar
Pris
22 740 SEK exkl. moms
Längd
5 dagar
Pris
22 740 SEK exkl. moms
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Beskrivning av: CompTIA Data+ Certification Training

As the importance of data analytics grows, more job roles are required to set a context and better communicate vital business intelligence. Collecting, analysing, and reporting data can drive priorities and lead business decision-making. CompTIA Data+ certification validates professionals have the skills required to facilitate data-driven business decisions, including:

  • Mining data
  • Manipulating data
  • Visualising and reporting data
  • Applying basic statistical methods
  • Analysing complex datasets while adhering to governance and quality standards throughout the entire data life cycle

CompTIA Data+ Training Delivery Methods

  • In-Person

  • Online

CompTIA Data+ Training Information

  • In this CompTIA Data+ course, you will learn how to:

    • Instruction from CompTIA approved Data+ Certification preparation course.
    • Receive a CompTIA Data+ Exam Voucher included upon completion of the course.
    • Identify Data Concepts and Environments important in analytics.
    • Execute techniques in Data Mining, Data Mining, and Visualisation.
    • Summarise the importance of Data Governance, Quality, and Controls.
    • Continue learning and face new challenges with after-course one-on-one instructor coaching.
  • CompTIA Data+ Training Prerequisites

    • CompTIA recommends 18–24 months of experience in a report/business analyst job to succeed in this course.
    • Exposure to databases and analytical tools, a basic understanding of statistics, and data visualisation experiences, such as Excel, Power BI, and Tableau.
  • CompTIA Data+ Certification Information

    • CompTIA DA0-001
    • Testing through Pearson VUE

CompTIA Data+ Instructor-Led Course Outline

Module 1: Identifying Basic Concepts of Data Schemas

In this module, you will learn how to:

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

Module 2: Understanding Different Data Systems

In this module, you will learn how to:

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

Module 3: Understanding Types and Characteristics of Data

In this module, you will learn how to:

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

Module 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages

In this module, you will learn how to:

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

Module 5: Explaining Data Integration and Collection Methods

In this module, you will learn how to:

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

Module 6: Identifying Common Reasons for Cleansing and Profiling Data

In this module, you will learn how to:

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

Module 7: Executing Different Data Manipulation Techniques

In this module, you will learn how to:

  • Manipulate Field Data and Create Variables
  • Transpose and Append Data
  • Query Data

Module 8: Explaining Common Techniques for Data Manipulation and Optimisation

In this module, you will learn how to:

  • Use Functions to Manipulate Data
  • Use Common Techniques for Query Optimisation

Module 9: Applying Descriptive Statistical Methods

In this module, you will learn how to:

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

Module 10: Describing Key Analysis Techniques

In this module, you will learn how to:

  • Get Started with Analysis
  • Recognise Types of Analysis

Module 11: Understanding the Use of Different Statistical Methods

In this module, you will learn how to:

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

Module 12: Using the Appropriate Type of Visualisation

In this module, you will learn how to:

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

Module 13: Expressing Business Requirements in a Report Format

In this module, you will learn how to:

  • 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

Module 14: Designing Components for Reports and Dashboards

In this module, you will learn how to:

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

Module 15: Distinguishing Different Report Types

In this module, you will learn how to:

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

Module 16: Summarising the Importance of Data Governance

In this module, you will learn how to:

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

Module 17: Applying Quality Control to Data

In this module, you will learn how to:

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

Module 18: Explaining Master Data Management Concepts

In this module, you will learn how to:

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

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Learning Tree International AB
Fleminggatan 7
112 26 Stockholm

Learning Tree International

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