CompTIA

Data Science Capstone

(UOP-DSC495.AE1)
Lessons
Lab
Lab (Add-on)
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Skills You’ll Get

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1

Data Concepts and Environments

  • Welcome to the World of Analytics
  • Careers in Analytics
  • The Analytics Process
  • Analytics Techniques
  • Data Governance
  • Analytics Tools
  • Exploring Data Types
  • Common Data Structures
  • Common File Formats
2

Data Mining

  • Exploring Databases
  • Database Use Cases
  • Data Acquisition Concepts
  • Working with Data
3

Data Analysis

  • Fundamentals of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Analysis Techniques
  • Spreadsheets
  • Programming Languages
  • Statistics Packages
  • Machine Learning
  • Analytics Suites
4

Data Visualization

  • Understanding Business Requirements
  • Understanding Report Design Elements
  • Understanding Dashboard Development Methods
  • Exploring Visualization Types
  • Comparing Report  Types
5

Data Governance, Quality, & Controls

  • Data Quality Challenges
  • Data Manipulation Techniques
  • Managing Data Quality
  • Data Governance Concepts
  • Understanding Master Data Management

1

Data Concepts and Environments

  • Understanding Data Analytics Techniques
  • Understanding Data Types
  • Identifying Categories of Data
  • Understanding Common Data Structures
2

Data Mining

  • Creating a Data Model through ERD
  • Normalizing Data from 2NF to 3NF
  • Normalizing Data from 1NF to 2NF
  • Normalizing Unnormalized Data to 1NF
  • Sorting Data
  • Removing Unnecessary Data
  • Updating Existing Data
  • Retrieving Specific Data
3

Data Analysis

  • Performing Data Analysis
  • Understanding Descriptive Statistics
  • Saving Data in Excel
  • Representing Data
  • Analyzing Data Using Python
  • Identifying SQL Commands in Data Analytics
4

Data Visualization

  • Visualizing Data Using a Line Chart
  • Visualizing Data Using a Histogram
  • Visualizing Data Using a Bar Chart
5

Data Governance, Quality, & Controls

  • Eliminating Redundant Data
  • Concatenating Data
  • Understanding Data Quality
  • Understanding Laws in Data Governance

1

Data Analysis

  • Analyzing Data
  • Viewing the Aggregate Data
  • Performing Advanced Analysis

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