Data Mining and Decision Making: Modern Data Science Lifecycle
Data Science 2021
| Intermediate
- 12 Videos | 53m 35s
- Includes Assessment
- Earns a Badge
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
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discover the key concepts covered in this coursecompare the roles of data science and data analysis in a business contextname the steps and processes essential to any data science projectspecify how to establish the business perspective of a data science project and how business goals relate to data analysis and predictive modelinglist the processes essential to preparing data and specify the goal of each processdescribe how descriptive analysis can be used to drive business decision-making
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describe how predictive analytics can be used to drive business decision-makingname multiple ways in which predictive modeling should be interpreted through a business contextdefine the role of model validation when using machine learning for predictive modellingspecify the requirements for model implementation when using machine learning for predictive modelingoutline how data-driven decision-making is used in a business context using the example of a case studysummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 3sUP NEXT
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2.Data Science vs. Data Analysis6m 59s
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3.Data Science Project Steps and Processes4m 44s
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4.Establishing Data Science Project Business Value7m 20s
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5.Data Preparation Processes5m 23s
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6.Using Descriptive Analysis to Drive Decision-making4m 12s
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7.Using Predictive Analytics to Drive Decision-making5m 43s
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8.Interpreting Predictive Models in a Business Context4m 20s
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9.Machine Learning: Model Validation5m 41s
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10.Machine Learning: Model Implementation4m 21s
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11.Case Study: Data-driven Decision-making3m 5s
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12.Course Summary44s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.