Data Mining and Decision Making: Modern Data Science Lifecycle

Data Science    |    Intermediate
  • 12 videos | 53m 35s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 91 users Rating 4.3 of 91 users (91)
Data mining and data science are rapidly transforming decision-making business practices. For these activities to be worthwhile, raw data needs to be transformed into insights relevant to your business's goals. In this course, you'll walk through each stage of the data mining pipeline covering all requirements for reaching a conclusive and relevant business decision. You'll examine data preparation, descriptive and predictive analytics, and predictive modeling. You'll also investigate the role of model validation and implementation in machine learning. On completion, you'll have a solid grasp of how data-driven decision-making has helped other businesses succeed and how it can help yours, too, if you employ the right methods.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Compare the roles of data science and data analysis in a business context
    Name the steps and processes essential to any data science project
    Specify how to establish the business perspective of a data science project and how business goals relate to data analysis and predictive modeling
    List the processes essential to preparing data and specify the goal of each process
    Describe how descriptive analysis can be used to drive business decision-making
  • Describe how predictive analytics can be used to drive business decision-making
    Name multiple ways in which predictive modeling should be interpreted through a business context
    Define the role of model validation when using machine learning for predictive modelling
    Specify the requirements for model implementation when using machine learning for predictive modeling
    Outline how data-driven decision-making is used in a business context using the example of a case study
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 3s
  • 6m 59s
  • Locked
    3.  Data Science Project Steps and Processes
    4m 44s
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    4.  Establishing Data Science Project Business Value
    7m 20s
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    5.  Data Preparation Processes
    5m 23s
    In this video, you'll learn more about data preparation. You'll discover that the data set comes in various sizes, shapes and formats and this will take a data scientist time and effort to convert them to a usable and ready-to-use state. You'll also learn about the most important step in this phase which is data collection. This is when the focus is on finding appropriate data that will solve the business objective. FREE ACCESS
  • Locked
    6.  Using Descriptive Analysis to Drive Decision-making
    4m 12s
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    7.  Using Predictive Analytics to Drive Decision-making
    5m 43s
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    8.  Interpreting Predictive Models in a Business Context
    4m 20s
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    9.  Machine Learning: Model Validation
    5m 41s
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    10.  Machine Learning: Model Implementation
    4m 21s
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    11.  Case Study: Data-driven Decision-making
    3m 5s
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    12.  Course Summary
    44s

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