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CompTIA Data+
After learning CompTIA Data+, you can expect to have a comprehensive understanding of data management, analysis, and interpretation within various IT environments.
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- Description
- Curriculum
- FAQ
CompTIA Data+ is a professional certification aimed at validating foundational data analytics skills for individuals looking to enter the field of data analytics. It is designed for professionals who are responsible for developing and promoting data-driven business decision-making.
Key Components:
- Data Mining: Techniques and tools used to extract information from large datasets.
- Data Manipulation: Methods for cleaning, transforming, and preparing data for analysis.
- Data Visualization: Skills in creating and interpreting graphical representations of data.
- Data Governance: Understanding of data policies, privacy regulations, and ethical considerations.
- Basic Statistical Methods: Application of statistical techniques to analyze data and generate insights.
Exam Details:
- Format: Multiple-choice and performance-based questions.
- Duration: 90 minutes.
- Questions: Up to 90 questions.
- Passing Score: 675 on a scale of 100-900.
Target Audience:
- Data Analysts
- Business Analysts
- Reporting Analysts
- Any professional looking to transition into a data-focused role
Benefits:
- Skill Validation: Confirms the ability to handle data responsibly and effectively.
- Career Advancement: Enhances job prospects and potential for career growth in data-related fields.
- Industry Recognition: Acknowledged by employers as a credible certification in data analytics.
Topics Covered:
- Data Concepts and Environments: Understanding different types of data, data structures, and the environments in which data is stored and processed.
- Data Mining and Analysis: Techniques for exploring and analyzing data to uncover patterns and insights.
- Visualization: Creating and interpreting charts, graphs, and dashboards to present data findings.
- Data Governance, Quality, and Controls: Ensuring data integrity, compliance with regulations, and establishing controls for data accuracy and security.
CompTIA Data+ provides a comprehensive foundation for those looking to enhance their data analytics skills and pursue a career in data-driven roles.
Lesson 1 Identifying Basic Concepts of Data Schemas
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1Lesson 1 Identifying Basic Concepts of Data Schemas3 mins
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2Topic 1A Identify Relational and Non-Relational Databases3 mins
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3Relational Databases6 mins
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4Non-Relational Databases7 mins
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5Identify Key Differences between Relational and Non-Relational DatabasesText lesson
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6Review Activity:Assignment
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7Topic 1B Understand the Way We Use Tables, Primary Keys, and Normalization3 mins
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8Normalization10 mins
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9Relationships in Data10 mins
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10Types of Relationships15 mins
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11Referential Integrity10 mins
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12Denormalization10 mins
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13Review Activity:Assignment
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14Lesson 1 Summary7 mins
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15Lesson 1 Practice10 questions
Lesson 2 Understanding Different Data Systems
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16Lesson 2 Understanding Different Data Systems5 mins
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17Topic 2A Describe Types of Data Processing and Storage SystemsText lesson
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18Types of Data Processing5 mins
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19Source Systems7 mins
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20Data Warehouses and Data Marts10 mins
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21Schemas Used in Data Warehousing10 mins
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22Data Lakes and Lakehouses7 mins
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23Review Activity:Assignment
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24Topic 2B Explain How Data Changes3 mins
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25Overview of Slowly Changing Dimensions7 mins
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26The Impact of Slowly Changing Dimensions10 mins
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27Review Activity:Assignment
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28Lesson 2 Summary6 mins
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29Lesson 2 Practice10 questions
Lesson 3 Understanding Types and Characteristics of Data
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30Lesson 3 Understanding Types and Characteristics of Data5 mins
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31Topic 3A Understand Types of Data3 mins
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32Quantitative Data7 mins
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33Qualitative Data7 mins
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34Why the Data Type Matters7 mins
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35Review Activity:Assignment
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36Topic 3B Break Down the Field Data Types3 mins
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37Introduction to Field Data Types3 mins
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38Text/Alphanumeric Field Data Types10 mins
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39Date Data Type4 mins
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40Number Data Types6 mins
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41Currency Data Type4 mins
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42Boolean Data Type3 mins
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43Data Type Conversion6 mins
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44Review Activity:Assignment
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45Lesson 3 Summary6 mins
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46Lesson 3 Practice10 questions
Lesson 4 Comparing and Contrasting Different Data Structures, Formats, and Markup Languages
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47Lesson 4 Comparing and Contrasting Different Data Structures, Formats, and Markup Languages4 mins
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48Topic 4A Differentiate Between Structured Data and Unstructured Data4 mins
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49Structured Data6 mins
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50Unstructured Data10 mins
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51Semi-Structured Data4 mins
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52Review Activity:Assignment
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53Topic 4B Recognize Different File Formats5 mins
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54Delimited Files10 mins
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55Why We Use Delimited Files4 mins
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56Flat Files7 mins
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57File Extensions10 mins
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58Review Activity:Assignment
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59Topic 4C Understand the Different Code Languages Used for Data5 mins
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60Structured Query Language (SQL)15 mins
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61HyperText Markup Language (HTML)15 mins
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62Extensible Markup Language (XML)10 mins
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63JavaScript Object Notation (JSON)10 mins
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64Review Activity:Assignment
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65Lesson 4 Summary10 mins
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66Lesson 4 Practice10 questions
Lesson 5 Explaining Data Integration and Collection Methods
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67Lesson 5 Explaining Data Integration and Collection Methods6 mins
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68Topic 5A Understand the Processes of Extracting, Transforming, and Loading Data5 mins
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69Extracting Data10 mins
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70Transforming Data20 mins
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71Loading Data10 mins
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72Full Load and Delta Load7 mins
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73Extract, Load, Transform (ELT)3 mins
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74Review Activity:Assignment
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75Topic 5B Explain API/Web Scraping and Other Collection Methods5 mins
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76Application Programming Interface (API)10 mins
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77Web Services10 mins
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78Web Scraping5 mins
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79Machine Data10 mins
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80Review Activity:Assignment
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81Topic 5C Collect and Use Public and Publicly Available Data3 mins
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82Overview of Public and Publicly Available Data7 mins
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83Finding Public and Publicly Available Data10 mins
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84Review Activity:Assignment
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85Topic 5D Use and Collect Survey Data3 mins
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86Considerations for Using Surveys7 mins
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87Types of Survey Answers7 mins
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88Review Activity:Assignment
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89Lesson 5 Summary13 mins
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90Lesson 5 Practice10 questions
Lesson 6 Identifying Common Reasons for Cleansing and Profiling Data
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91Lesson 6 Identifying Common Reasons for Cleansing and Profiling Data5 mins
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92Topic 6A Learn to Profile Data3 mins
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93Steps of Data Profiling10 mins
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94Data Profiling Tools and Techniques10 mins
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95Review Activity:Assignment
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96Topic 6B Address Redundant, Duplicated, and Unnecessary Data3 mins
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97Redundant Data5 mins
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98Duplicated Data20 mins
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99Unnecessary Fields15 mins
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100Review Activity:Assignment
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101Topic 6C Work with Missing Values5 mins
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102Causes of Null Values20 mins
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103Filtering Null Values10 mins
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104Replacing Missing Values20 mins
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105Review Activity:Assignment
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106Topic 6D Address Invalid Data3 mins
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107Identifying Invalid Data10 mins
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108Removing Invalid Data10 mins
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109Replacing Invalid Data with Valid Data4 mins
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110Review Activity:Assignment
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111Topic 6E Convert Data to Meet Specifications3 mins
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112Data That Does Not Meet Specifications7 mins
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113Converting Data Types10 mins
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114Review Activity:Assignment
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115Lesson 6 Summary10 mins
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116Lesson 6 Practice10 questions
Lesson 7 Executing Different Data Manipulation Techniques
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117Lesson 7 Executing Different Data Manipulation Techniques5 mins
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118Topic 7A Manipulate Field Data and Create Variables4 mins
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119Recoding Numerical and Categorical Data20 mins
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120Derived Variables10 mins
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121Imputing Values10 mins
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122Reduction in Data Sets7 mins
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123Masking Values15 mins
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124Review Activity:Assignment
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125Topic 7B Transpose and Append DataText lesson
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126Transposing Data10 mins
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127Appending Data10 mins
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128Review Activity:Assignment
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129Topic 7C Query DataText lesson
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130Querying Data20 mins
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131Types of Joins10 mins
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132The Impact of Each Join to Data25 mins
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133Review Activity:Assignment
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134Lesson 7 Summary10 mins
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135Lesson 7 Practice10 questions
Lesson 8 Explaining Common Techniques for Data Manipulation and Optimization
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136Lesson 8 Explaining Common Techniques for Data Manipulation and Optimization7 mins
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137Topic 8A Use Functions to Manipulate Data4 mins
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138Text Functions15 mins
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139Combining Data Fields15 mins
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140Parsing Strings for Information20 mins
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141Date Functions20 mins
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142Logical Functions and Conditional Data7 mins
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143Aggregation and the Basic Types of Aggregate Functions10 mins
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144Review Activity:Assignment
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145Topic 8B Use Common Techniques for Query Optimization3 mins
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146Filtering Data7 mins
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147Parameterization20 mins
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148Indexing Data7 mins
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149Temporary Tables10 mins
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150Subquerying and Subsets of Information10 mins
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151Query Execution Plan15 mins
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152Review Activity:Assignment
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153Lesson 8 Summary10 mins
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154Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization10 questions
Lesson 9 Applying Descriptive Statistical Methods
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155Lesson 9 Applying Descriptive Statistical Methods5 mins
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156Topic 9A Use Measures of Central Tendency3 mins
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157Overview of the Measures of Central Tendency6 mins
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158Mean20 mins
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159Median20 mins
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160Mode10 mins
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161Review Activity:Assignment
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162Topic 9B Use Measures of Dispersion3 mins
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163Overview of the Measures of Dispersion6 mins
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164The Range of Data20 mins
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165Standard Deviation30 mins
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166Z-Scores12 mins
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167Distribution of a Data Set15 mins
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168Review Activity:Assignment
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169Topic 9C Use Frequency and Percentages6 mins
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170Frequency15 mins
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171Percentage Difference15 mins
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172Percentage Change10 mins
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173Review Activity:Assignment
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174Lesson 9 Summary10 mins
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175Lesson 9: Applying Descriptive Statistical Methods11 questions
Lesson 10 Describing Key Analysis Techniques
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176Lesson 10 Describing Key Analysis Techniques5 mins
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177Topic 10A Get Started with Analysis3 mins
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178Research Questions7 mins
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179Data Sources and Collection Methods10 mins
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180Observations5 mins
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181Review Activity:Assignment
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182Topic 10B Recognize Types of Analysis5 mins
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183Exploratory Analysis7 mins
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184Performance Analysis7 mins
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185Gap Analysis10 mins
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186Trend Analysis10 mins
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187Link Analysis10 mins
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188Review Activity:Assignment
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189Lesson 10 Summary10 mins
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190Lesson 10: Describing Key Analysis Techniques10 questions
Lesson 11 Understanding the Use of Different Statistical Methods
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191Lesson 11 Understanding the Use of Different Statistical Methods7 mins
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192Topic 11A Understand the Importance of Statistical Tests6 mins
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193Confidence Intervals10 mins
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194T-Tests and P-Values10 mins
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195Review Activity:Assignment
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196Topic 11B Break Down the Hypothesis Test3 mins
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197The Null Hypothesis7 mins
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198Understanding the Results of Hypothesis TestingText lesson
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199Review Activity:Review Activity:Assignment
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200Topic 11C Understand Tests and Methods to Determine Relationships Between Variables3 mins
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201Chi-Square15 mins
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202Chi-Square Tests15 mins
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203Simple Linear Regression20 mins
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204Correlation15 mins
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205Use Excel to Apply Statistical Methods10 mins
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206Review Activity:Assignment
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207Lesson 11 Summary13 mins
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208Lesson 11: Understanding the Use of Different Statistical Methods10 questions
Lesson 12 Using the Appropriate Type of Visualization
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209Lesson 12 Using the Appropriate Type of Visualization7 mins
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210Topic 12A Use Basic Visuals10 mins
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211Pie Charts and Treemaps15 mins
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212Column and Bar Charts20 mins
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213Line Graphs15 mins
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214Review Activity:Assignment
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215Topic 12B Build Advanced Visuals5 mins
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216Stacked Column/Bar Charts10 mins
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217Line Graphs with Multiple Lines15 mins
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218Combination Charts30 mins
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219Scatter Plots and Bubble Charts20 mins
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220Histograms20 mins
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221Waterfall Charts15 mins
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222Review Activity: Advanced VisualsAssignment
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223Topic 12C Build Maps with Geographical Data3 mins
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224Preparing Geo Fields for Mapping20 mins
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225Geographic Maps20 mins
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226Review Activity: Maps with Geographical DataAssignment
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227Topic 12D Use Visuals to Tell a Story3 mins
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228Heat Maps20 mins
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229Word Clouds15 mins
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230Infographics10 mins
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231Review Activity: Visuals to Tell a StoryAssignment
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232Lesson 12 Summary15 mins
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233Lesson 12: Using the Appropriate Type of Visualization10 questions
Lesson 13 Expressing Business Requirements in a Report Format
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234Lesson 13 Expressing Business Requirements in a Report FormatText lesson
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235Topic 13A Consider Audience Needs When Developing a Report3 mins
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236The Audience10 mins
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237Consumer Types10 mins
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238Review Activity: Audience Needs When Developing a ReportAssignment
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239Topic 13B Describe Data Source Considerations for Reporting3 mins
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240Documenting the Source Data20 mins
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241Determining Access to Data15 mins
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242Developing Views of the Data20 mins
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243Data Fields and Attributes30 mins
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244Review Activity: Data Source Considerations for ReportingAssignment
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245Topic 13C Describe Considerations for Delivering Reports and Dashboards3 mins
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246Determining How Visuals Will Be Viewed20 mins
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247Determining How Data Will Be Delivered15 mins
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248Frequency of Reporting7 mins
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249Recurring Reports7 mins
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250Review Activity: Considerations for Delivering Reports and DashboardsAssignment
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251Topic 13D Develop Reports or Dashboards3 mins
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252Visualization Layouts20 mins
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253Mockup and Wireframing for Design7 mins
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254Types of Visuals15 mins
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255Types of Dashboard Navigation20 mins
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256Review Activity: Develop Reports or DashboardsAssignment
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257Topic 13E Understand Ways to Sort and Filter Data6 mins
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258Sorting Data20 mins
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259Filter Methods for Visuals30 mins
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260Filtering by Date Ranges30 mins
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261Review Activity: Ways to Sort and Filter DataAssignment
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262Lesson 13 Summary15 mins
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263Lesson 13: Expressing Business Requirements in a Report Format10 questions
Lesson 14 Designing Components for Reports and Dashboards
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264Lesson 14 Designing Components for Reports and Dashboards4 mins
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265Topic 14A Choose Design Elements for Reports/Dashboards3 mins
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266Branding Guidelines7 mins
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267Appropriate Color Schemes30 mins
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268Appropriate Fonts and Layout20 mins
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269Naming Conventions30 mins
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270Review Activity: Design Elements for Reports/DashboardsAssignment
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271Topic 14B Utilize Standard Elements for Reports/Dashboards3 mins
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272Standard Information and Formatting Elements30 mins
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273Important Dates10 mins
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274Review Activity: Standard Elements for Reports/DashboardsAssignment
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275Topic 14C Create a Narrative and Other Written Elements3 mins
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276Narrative20 mins
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277Instructions for Using the Report/Dashboard10 mins
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278Other Supporting Materials20 mins
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279Review Activity: Narrative and Other Written ElementsAssignment
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280Topic 14D Understand Deployment Considerations3 mins
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281Techniques for Dashboard Optimization30 mins
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282Deploy to Production15 mins
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283Review Activity: Deployment ConsiderationsAssignment
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284Lesson 14 Summary15 mins
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285Lesson 14: Designing Components for Reports and Dashboards10 questions
Lesson 15 Distinguishing Different Report Types
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286Lesson 15 Distinguishing Different Report Types6 mins
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287Topic 15A Understand How Updates and Timing Affect Reporting4 mins
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288Static Versus Dynamic Reports15 mins
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289Point-In-Time Reporting7 mins
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290Real-Time Reporting7 mins
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291Review Activity: How Updates and Timing Affect ReportingAssignment
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292Topic 15B Differentiate Between Types of Reports5 mins
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293Operational and Compliance Reports10 mins
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294Tactical and Research-Driven Reporting10 mins
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295Ad-Hoc Reporting10 mins
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296Self-Service Reporting10 mins
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297Review Activity: Types of ReportsAssignment
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298Lesson 15 Summary15 mins
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299Lesson 15: Distinguishing Different Report Types2 questions
Lesson 16 Summarizing the Importance of Data Governance
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300Lesson 16 Summarizing the Importance of Data Governance6 mins
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301Topic 16A Define Data Governance4 mins
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302Data Governance20 mins
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303Roles Within a Data Governance Team15 mins
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304Jurisdiction Requirements8 mins
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305Regulations and Compliance15 mins
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306Data Classifications15 mins
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307Review Activity: Data GovernanceAssignment
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308Topic 16B Understand Access Requirements and Policies3 mins
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309Data Use Agreements15 mins
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310Release Approvals3 mins
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311Data Retention and Destruction Policies10 mins
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312Review Activity: Access Requirements and PoliciesAssignment
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313Topic 16C Understand Security Requirements5 mins
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314Data Processing20 mins
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315Data Transmission7 mins
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316Data Encryption10 mins
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317De-Identification and Masking of Data15 mins
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318Data Breaches15 mins
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319Data Access20 mins
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320Saving Data Files and Storage Types20 mins
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321Review Activity: Security RequirementsAssignment
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322Topic 16D Understand Entity Relationship Requirements4 mins
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323Entity Relationship Models15 mins
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324Record Linkage Restrictions7 mins
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325Data Constraints10 mins
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326Review Activity: Entity Relationship RequirementsAssignment
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327Lesson 16 Summary20 mins
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328Lesson 16: Summarizing the Importance of Data Governance10 questions
Lesson 17 Applying Quality Control to Data
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329Lesson 17 Applying Quality Control to Data6 mins
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330Topic 17A Describe Characteristics, Rules, and Metrics of Data Quality4 mins
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331Reasons to Check Data Quality20 mins
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332Understanding Quality20 mins
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333Rules and Metrics for Data Quality20 mins
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334Review Activity: Characteristics, Rules, and Metrics of Data QualityAssignment
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335Topic 17B Identify Reasons to Quality Check Data and Methods of Data Validation7 mins
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336Data Validation Methods20 mins
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337Automated Validation15 mins
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338Data Verification Methods15 mins
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339Review Activity: Reasons to Quality Check Data and Methods of Data ValidationAssignment
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340Lesson 17 Summary15 mins
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341Lesson 17: Applying Quality Control to Data10 questions
Lesson 18 Explaining Master Data Management Concepts
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342Lesson 18 Explaining Master Data Management Concepts3 mins
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343Topic 18A Explain the Basics of Master Data Management3 mins
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344Master Data Management15 mins
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345Benefits of Master Data Management7 mins
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346Reasons for Master Data Management15 mins
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347Master Data Management vs. Data Warehouse7 mins
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348Review Activity: The Basics of Master Data ManagementAssignment
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349Topic 18B Describe Master Data Management Processes10 mins
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350Field Standardization7 mins
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351Data Dictionary10 mins
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352Review Activity: Master Data Management ProcessesAssignment
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353Lesson 18 Summary10 mins
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354Lesson 18: Explaining Master Data Management Concepts10 questions
Appendix A Identifying Common Data Analytics Tools
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355Appendix A Identifying Common Data Analytics Tools3 mins
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356Proprietary and Open Source Languages7 mins
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357Data Transformation Tools8 mins
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358Visualization Tools5 mins
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359Statistical Tools6 mins
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360Paginated Reporting Tools3 mins
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361Platform Tools7 mins
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362Review Activity: Common Data Analytics ToolsAssignment
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363Appendix A SummaryText lesson
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364Appendix A: Identifying Common Data Analytics Tools10 questions
What is CompTIA Data+ certification?
: CompTIA Data+ is a certification program offered by CompTIA that validates the skills and knowledge required to analyze, interpret, and manage data.
Who is CompTIA Data+ certification for?
This certification is ideal for individuals looking to demonstrate their expertise in data analysis, interpretation, and management. It is suitable for data analysts, data engineers, database administrators, and other professionals working with data.
What are the prerequisites for CompTIA Data+ certification?
There are no specific prerequisites for CompTIA Data+. However, CompTIA recommends having at least two years of experience in data analytics or related fields.
How long is the CompTIA Data+ certification valid?
CompTIA Data+ certification is valid for three years from the date of certification. To maintain certification status, individuals must complete continuing education activities or pass the latest version of the exam before the expiration date.
Course details
Duration
3 weeks
Lectures
290
Assignments
55
Quizzes
19
Level
Intermediate
Given After completion by the Academy
1 year
Computer
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