Developing an AI/ML Data Strategy: The Data Analytics Maturity Model

Data analytics 2022    |    Intermediate
  • 10 videos | 39m 27s
  • Includes Assessment
  • Earns a Badge
Rating 4.6 of 260 users Rating 4.6 of 260 users (260)
Data analytics is used across various industries to help companies make better-informed business decisions. Data analysts capture, process, and organize data in addition to establishing the best way to present that data. Through this course, learn about the uses and benefits of data analytics and the tools to leverage it. Examine the data analytics maturity model and compare the descriptive, diagnostic, predictive, and AI types of data analytics. Next, discover how data analytics can be used across teams and the benefits it offers. Finally, discover the different types of tools designed for data storage, cleaning, visualization, analysis, and collaboration. Upon completion, you'll be able to outline what data analytics is and list common data science tools.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the purpose and components of the data analytics maturity model
    Identify the categories of data analytics uses
    Name the components and benefits of data governance
    Identify the emerging trends in data analytics and their roles across industries
  • Recognize the purpose and uses of data storage tools
    State the aim of data cleaning and analysis tools and technologies
    Recognize the purpose of using data collaboration and visualization tools
    List the right questions to ask when selecting tools for data teams
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 45s
    In this video, you will discover the key concepts covered in this course. FREE ACCESS
  • 5m 45s
    Upon completion of this video, you will be able to outline the purpose and components of the data analytics maturity model. FREE ACCESS
  • Locked
    3.  Analytics Maturity Model Categories
    3m 10s
    After completing this video, you will be able to identify the categories of data analytics uses. FREE ACCESS
  • Locked
    4.  Data Governance
    6m
    During this video, you will learn how to name the components and benefits of data governance. FREE ACCESS
  • Locked
    5.  Emerging Trends in Data Analytics
    5m 48s
    Find out how to identify the emerging trends in data analytics and their roles across industries. FREE ACCESS
  • Locked
    6.  Data Storage Tools
    4m
    Upon completion of this video, you will be able to recognize the purpose and uses of data storage tools. FREE ACCESS
  • Locked
    7.  Data Cleaning and Analysis Tools
    6m 35s
    After completing this video, you will be able to state the aim of data cleaning and analysis tools and technologies. FREE ACCESS
  • Locked
    8.  Data Collaboration and Visualization Tools
    3m 48s
    In this video, you will recognize the purpose of using data collaboration and visualization tools. FREE ACCESS
  • Locked
    9.  Data Tool Selection
    2m 57s
    Upon completion of this video, you will be able to list the right questions to ask when selecting tools for data teams. FREE ACCESS
  • Locked
    10.  Course Summary
    39s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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