{"product_id":"comptia-data-®-certification-training","title":"CompTIA Data+® Certification Training","description":"\u003cdiv\u003e\n\u003cp\u003eUnlock the power of data-driven decision-making with the \u003cstrong\u003eCompTIA Data+\u003c\/strong\u003e 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. \u003c\/p\u003e\r\n\u003cp\u003eLearn 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. \u003c\/p\u003e\r\n\u003cp\u003eUpon 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!\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eCompTIA Data+® Certification Training Benefits\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eIn this course, you will:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eParticipate in Instruction from CompTIA-certifiedData+ Certification preparation course.\u003c\/li\u003e\n\u003cli\u003eReceive a CompTIA Data+ Exam Voucher included upon completion of the course.\u003c\/li\u003e\n\u003cli\u003eIdentify Data Concepts and Environments important in analytics.\u003c\/li\u003e\n\u003cli\u003eExecute techniques in Data Mining, Data Mining, and Visualization.\u003c\/li\u003e\n\u003cli\u003eSummarize the importance of Data Governance, Quality, and Controls.\u003c\/li\u003e\n\u003cli\u003eContinue learning and face new challenges with after-course one-on-one instructor coaching.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTraining Prerequisites\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompTIA recommends 18–24 months (about 2 years) of experience in a report\/business analyst job to succeed in this course.\u003c\/li\u003e\n\u003cli\u003eExposure to databases and analytical tools, a basic understanding of statistics, and data visualization experiences, such as Excel, Power BI (Business Intelligence), and Tableau.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eCertification Information\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCompTIA DA0-001\u003c\/li\u003e\n\u003cli\u003eTesting through Pearson VUE\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eCompTIA Data+ Instructor-Led Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 1: Identifying Basic Concepts of Data Schemas\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentify Relational and Non-Relational Databases\u003c\/li\u003e\n\u003cli\u003eUnderstand the Way We Use Tables, Primary Keys, and Normalization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 2: Understanding Different Data Systems\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe Types of Data Processing and Storage Systems\u003c\/li\u003e\n\u003cli\u003eExplain How Data Changes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 3: Understanding Types and Characteristics of Data\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand Types of Data\u003c\/li\u003e\n\u003cli\u003eBreak Down the Field Data Types\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDifferentiate between Structured Data and Unstructured Data\u003c\/li\u003e\n\u003cli\u003eRecognize Different File Formats\u003c\/li\u003e\n\u003cli\u003eUnderstand the Different Code Languages Used for Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 5: Explaining Data Integration and Collection Methods\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the Processes of Extracting, Transforming, and Loading Data\u003c\/li\u003e\n\u003cli\u003eExplain \u003cabbr title=\"Application Programming Interface\"\u003eAPI\u003c\/abbr\u003e\/Web Scraping and Other Collection Methods\u003c\/li\u003e\n\u003cli\u003eCollect and Use Public and Publicly-Available Data\u003c\/li\u003e\n\u003cli\u003eUse and Collect Survey Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 6: Identifying Common Reasons for Cleansing and Profiling Data\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eLearn to Profile Data\u003c\/li\u003e\n\u003cli\u003eAddress Redundant, Duplicated, and Unnecessary Data\u003c\/li\u003e\n\u003cli\u003eWork with Missing Values\u003c\/li\u003e\n\u003cli\u003eAddress Invalid Data\u003c\/li\u003e\n\u003cli\u003eConvert Data to Meet Specifications\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 7: Executing Different Data Manipulation Techniques\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eManipulate Field Data and Create Variables\u003c\/li\u003e\n\u003cli\u003eTranspose and Append Data\u003c\/li\u003e\n\u003cli\u003eQuery Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 8: Explaining Common Techniques for Data Manipulation and Optimization\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse Functions to Manipulate Data\u003c\/li\u003e\n\u003cli\u003eUse Common Techniques for Query Optimization\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 9: Applying Descriptive Statistical Methods\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse Measures of Central Tendency\u003c\/li\u003e\n\u003cli\u003eUse Measures of Dispersion\u003c\/li\u003e\n\u003cli\u003eUse Frequency and Percentages\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 10: Describing Key Analysis Techniques\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eGet Started with Analysis\u003c\/li\u003e\n\u003cli\u003eRecognize Types of Analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 11: Understanding the Use of Different Statistical Methods\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand the Importance of Statistical Tests\u003c\/li\u003e\n\u003cli\u003eBreak Down the Hypothesis Test\u003c\/li\u003e\n\u003cli\u003eUnderstand Tests and Methods to Determine Relationships Between Variables\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 12: Using the Appropriate Type of Visualization\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUse Basic Visuals\u003c\/li\u003e\n\u003cli\u003eBuild Advanced Visuals\u003c\/li\u003e\n\u003cli\u003eBuild Maps with Geographical Data\u003c\/li\u003e\n\u003cli\u003eUse Visuals to Tell a Story\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 13: Expressing Business Requirements in a Report Format\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eConsider Audience Needs When Developing a Report\u003c\/li\u003e\n\u003cli\u003eDescribe Data Source Considerations for Reporting\u003c\/li\u003e\n\u003cli\u003eDescribe Considerations for Delivering Reports and Dashboards\u003c\/li\u003e\n\u003cli\u003eDevelop Reports or Dashboards\u003c\/li\u003e\n\u003cli\u003eUnderstand Ways to Sort and Filter Data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 14: Designing Components for Reports and Dashboards\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesign Elements for Reports and Dashboards\u003c\/li\u003e\n\u003cli\u003eUtilize Standard Elements\u003c\/li\u003e\n\u003cli\u003eCreating a Narrative and Other Written Elements\u003c\/li\u003e\n\u003cli\u003eUnderstand Deployment Considerations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 15: Distinguishing Different Report Types\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUnderstand How Updates and Timing Affect Reporting\u003c\/li\u003e\n\u003cli\u003eDifferentiate Between Types of Reports\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 16: Summarizing the Importance of Data Governance\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDefine Data Governance\u003c\/li\u003e\n\u003cli\u003eUnderstand Access Requirements and Policies\u003c\/li\u003e\n\u003cli\u003eUnderstand Security Requirements\u003c\/li\u003e\n\u003cli\u003eUnderstand Entity Relationship Requirements\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 17: Applying Quality Control to Data\u003c\/h4\u003e\n\u003cp\u003eIn this module, you will learn how to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDescribe Characteristics, Rules, and Metrics of Data Quality\u003c\/li\u003e\n\u003cli\u003eIdentify Reasons to Quality Check Data and Methods of Data Validation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eModule 18: 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