Final Exam: Raw Data To Insights
Data | Intermediate
- 1 video | 32s
- Includes Assessment
- Earns a Badge
Final Exam: Raw Data To Insights will test your knowledge and application of the topics presented throughout the Raw Data To Insights track of the Skillsoft Aspire Data for Leaders and Decision Makers Journey.
WHAT YOU WILL LEARN
Identify key advantages of using computer vision in predictive analytics pipelinesidentify key advantages of using nlp techniques in predictive analytics pipelinesdescribe the prospects of predictive analytics alongside its most promising fields of studydescribe broadly how a neural network worksspecify the role of deep learning and artificial neural networks when dealing with datadescribe the role of data science and data analysis in modern businessname the steps and processes essential to any data science projectspecify the business perspective in relation to data analysis and predictive modelinglist the processes essential to preparing data and specify their roledescribe how descriptive analysis can be used to drive business decision making
define key characteristics and requirements for the data collection pipelinedescribe the purpose of the data validation process and name major steps in data validationspecify several ways to clean the dataset and describe why data cleaning is necessarydescribe how good visualization of data can become a key business drivername advanced visualization techniques and describe their use casesname and define major types of machine learning used in business managementdescribe broadly how a machine learning algorithm workscompare the roles of machine learning engineers and data scientistsdefine and compare data science, data analytics and machine learning and their use cases for business managementname the association rules used in data mining and specify their roles
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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