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DEMO - Basic of Data Analytics
DEMO - Basic of Data AnalyticsAnalytics Courses |
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| Superadmin | 01.01.70 | 590 |  |
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| Description | ||||
| Every person that works with analytics, from data mining to business intelligence, has to start with the raw data. The goal of this training course is to teach analysts and nonanalysts alike the basics of using data for analysis and reporting. Robin Hunt defines what data analysis is and what data analysts do. She then shows how to identify your data set, interpret and summarize data, and perform specialized tasks such as creating workflow diagrams, cleaning data, and joining data sets for reporting. Chapter 4 covers techniques for initiating, managing, and troubleshooting data analysis projects. No matter where you are in your analytics career, this course will help you put data in perspective. Introduction 52s Welcome 37s Prerequisites 15s 1. The Range of Data Analysis 4m 5s What is data analysis? 1m 33s Are you an analyst? 1m 25s The analyst role in data science 1m 7s 2. Basics of Data 6m 7s Identifying data 1m 17s What does data look like? 2m 20s The data we don't have 2m 30s 3. Basics of Data Analysis 16m 4s Ability to interpret and summarize data 2m 52s Data in a workflow 2m 39s Joins 4m 0s Clean data 2m 31s Repurposing, not remanufacturing, data 1m 41s Common mistakes 2m 21s 4. Basics of a Data Project 6m 38s Data best practices 2m 4s Common troubleshooting methods 1m 47s Data governance 1m 6s Truths 1m 41s Conclusion 32s Next steps 32s | ||||
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