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  • Lifecycle of a Data Analysis Project
    Course Introduction
    Course Syllabus
    Unit 1: Defining the Business Objective and Sourcing Data
    1.1: Data Analysis Processes
    Lifecycle of a Data Analysis Project
    The Market Research Process
    1.2: Data Analysis Business Objectives
    Big Data Stream Analytics for Sentiment Analysis
    Data Modeling and Data Analytics
    1.3: Data Collection and Gathering Best Practices
    Using BI and Decision-Making Process in Start-ups
    Unit 1 Study Resources
    Unit 1 Review Video
    Unit 1 Review Slides
    Study Guide: Unit 1
    Unit 1 Assessment
    Unit 1 Assessment
    Unit 2: Data Analysis
    2.1: Data Analysis Methods and Models
    Introduction to Analytics
    The Stages of Analytics Development
    Quantitative Methods
    Qualitative Methods
    Quantitative and Qualitative Data
    Statistical Language
    The Difference between Qualitative and Quantitative
    Qualitative and Quantitative Research
    Data-Driven Decisions
    Research Design
    2.2: Synthesizing Data Findings
    Measures of the Center of the Data
    Frequency, Frequency Tables, and Levels of Measurement
    Frequency Tables
    Unit 2 Study Resources
    Unit 2 Review Video
    Unit 2 Review Slides
    Study Guide: Unit 2
    Unit 2 Assessment
    Unit 2 Assessment
    Unit 3: Visualization Principles and Processes
    3.1: Visualization Concepts and Definitions
    Data Visualization
    Why Is Data Visualization Important?
    Presenting Data in Meaningful and Interesting Ways
    3.2: Interactive Visualizations and Dashboards
    Data Visualization
    Interactive Visualization of Refugee Demographics in the U.S.
    3.3: Challenges in Visualization
    Visualization in Exploratory Data Analysis
    Visualizing Big Data with Augmented and Virtual Reality
    Describing Data
    Unit 3 Study Resources
    Unit 3 Review Video
    Unit 3 Review Slides
    Study Guide: Unit 3
    Unit 3 Assessment
    Unit 3 Assessment
    Unit 4: Visualization Tools and Techniques
    4.1: Number Representation
    Visual Aids
    Using PowerPoint with Excel
    Using Charts with Word and PowerPoint
    Describing Data
    4.2: Formatting and Organizing Data
    Best Visualization Practices
    4.3: Selecting Visual Representations
    Visualization Tools
    Visualization Thought Process
    4.4: Representing Data Values
    Presenting Data with Graphs and Tables
    4.5: Coordinating Data Positions and Scales
    Improving Visualizations
    Unit 4 Study Resources
    Unit 4 Review Video
    Unit 4 Review Slides
    Study Guide: Unit 4
    Unit 4 Assessment
    Unit 4 Assessment
    Unit 5: Evaluating Data Visualizations
    5.1: Develop the Data Story
    Data as Sources
    Data Visualization to Promote Public Awareness
    Creating Good Visualizaitons
    5.2: Develop Presentation Message
    Storytelling and Visualization
    5.3: Map and Align Visual Communications
    Data Visualization Design and Principles
    5.4: Validate the Narrative Flow
    Narrative Charts Tell the Tale
    Unit 5 Study Resources
    Unit 5 Review Video
    Unit 5 Review Slides
    Study Guide: Unit 5
    Unit 5 Assessment
    Unit 5 Assessment
    Unit 6: Storytelling with Data
    6.1: Graphic Design for Data
    Using Data Visualization
    Using Data Visualization
    6.2: Data Encoding and Annotation
    Why Is Data Visualization Important?
    6.3 The Visual Side of Storytelling
    Visualizing the Receding Sea Ice Sheets
    How to Present Data
    Using Data Visualization to Persuade
    Presenting Using Storytelling
    6.4: Principles of Effective Dashboards
    What’s in a Dashboard?
    Data Visualizations in the Pandemic
    Unit 6 Study Resources
    Unit 6 Review Video
    Unit 6 Review Slides
    Study Guide: Unit 6
    Unit 6 Assessment
    Unit 6 Assessment
    Study Guide
    BUS612 Study Guide
    Course Feedback Survey
    Course Feedback Survey
    Certificate Final Exam
    BUS612: Certificate Final Exam
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  1. BUS612: Data-Driven Communications
  2. Unit 1: Defining the Business Objective and Sourcing Data
  3. 1.1: Data Analysis Processes
  4. Lifecycle of a Data Analysis Project

Lifecycle of a Data Analysis Project

Completion requirements

Communication of analysis results with visualizations is a key component of the Data Analysis Lifecycle. Each step in the lifecycle must be performed correctly for the visualizations to have meaning and lead to good decisions. Understanding the steps that lead to creating visualizations is critical to the project's success. Watch this video to learn the 6-step process and its role in its success.

https://s-saylor-academy-moodle.catalyst-ca.net/pluginfile.php/6042579/mod_page/content/1/Life%20Cycle.mp4?time=1666042627156

 

Source: Saylor Academy
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License.

Last modified: Monday, October 17, 2022, 5:37 PM
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Saylor Academy © 2010-2025 except as otherwise noted. Excluding course final exams, content authored by Saylor Academy is available under a Creative Commons Attribution 3.0 Unported license. Third-party materials are the copyright of their respective owners and shared under various licenses. See detailed licensing information. Saylor Academy®, Saylor.org®, and Harnessing Technology to Make Education Free® are trade names of the Constitution Foundation, a 501(c)(3) organization through which our educational activities are conducted.