CompTIA Data+® Certification Training

Unlock the power of data-driven decision-making with the CompTIA Data+ Certification Training! As the importance of data analytics continues to grow, more job roles are being created to set a context and better communicate vital business intelligence. This comprehensive course will teach you the skills required to facilitate data-driven business decisions, including mining, manipulating, visualizing, and reporting data.  Learn to apply basic statistical methods and analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle. The course also covers data integration and collection methods, data governance tools, and how to express business requirements in a report format.  Upon completing the course, you will receive a CompTIA Data+ Exam Voucher and the opportunity to work with an instructor for after-course one-on-one coaching. If you're a data analyst, reporting analyst, business intelligence analyst, clinical analyst, marketing analyst, operations analyst, or simply someone interested in data analytics, this course is for you! CompTIA Data+® Certification Training Benefits In this course, you will: Participate in Instruction from CompTIA-certifiedData+ 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 Visualization. Summarize the importance of Data Governance, Quality, and Controls. Continue learning and face new challenges with after-course one-on-one instructor coaching. Training Prerequisites CompTIA recommends 18–24 months (about 2 years) 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 visualization experiences, such as Excel, Power BI (Business Intelligence), and Tableau. 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 Normalization 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 Recognize 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 Optimization In this module, you will learn how to: Use Functions to Manipulate Data Use Common Techniques for Query Optimization 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 Recognize 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 Visualization 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 Utilize 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: Summarizing 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