How I Approach New Datasets (5 THINGS TO LOOK OUT FOR) скачать в хорошем качестве

How I Approach New Datasets (5 THINGS TO LOOK OUT FOR)

DATA PORTFOLIO & RESUME: https://mochen.info/ SPONSORSHIPS: https://mo-chen.notion.site/partnerships OR email me at [email protected] ABOUT ME I'm Mo and I work as a data analytics manager / content creator. I make videos about how you can stay competitive / ahead of the competition in the data industry. COURSES & CERTIFICATES Get 25% OFF DataCamp's Courses & Certificates: https://datacamp.pxf.io/DataCampMoChen INDUSTRY RECOGNIZED CERTIFICATIONS Data Analyst Certification Program: https://datacamp.pxf.io/dataAnalystCe... PowerBI Data Analyst Certification Program: https://datacamp.pxf.io/PowerBIDataAn... Data Scientist Certification Program: https://datacamp.pxf.io/DataScientist... SQL Associate Certification Program: https://datacamp.pxf.io/SQLAssociateCert TOP DATA ANALYST COURSES Data Analyst with Python: https://datacamp.pxf.io/dataAnalystWi... Data Analyst with PowerBI: https://datacamp.pxf.io/dataAnalystPo... Associate Data Analyst in SQL: https://datacamp.pxf.io/AssociateData... TOP DATA SCIENTIST COURSES Associate Data Scientist in Python: https://datacamp.pxf.io/AssociateData... Associate Data Scientist in R: https://datacamp.pxf.io/AssociateData... TOP DATA ENGINEER COURSES Data Engineer in Python: https://datacamp.pxf.io/DataEngineerI... TOP BUSINESS INTELLIGENCE COURSES PowerBI Fundamentals: https://datacamp.pxf.io/PowerBIFundam... Tableau Fundamentals: https://datacamp.pxf.io/TableauFundam... TOP PROGRAMMING LANGUAGE COURSES Python Fundamentals for Data Science: https://datacamp.pxf.io/PythonFundame... Python Fundamentals for Programming: https://datacamp.pxf.io/PythonFundame... SQL Fundamentals: https://datacamp.pxf.io/SQLFundamentals R Programming Fundamentals: https://datacamp.pxf.io/RFundamentals TOP AI COURSES AI Engineer for Developers Course: https://datacamp.pxf.io/AIEngineerDev... AI Engineer for Data Scientists Course: https://datacamp.pxf.io/AIEngineerDat... Developing AI Applications Course: https://datacamp.pxf.io/AIApplications VIDEO SUMMARY I’ll walk you through the 5 areas that you should definitely consider when you’re faced with a new dataset. These 5 areas include Content & Relevance (e.g., Where's the data coming from, Any potential data biases?), Data Quality (e.g., missing values, duplicates), Data Structure & Types, Outliers (e.g., minimum, maximum), Data Distribution and Summary Statistics (e.g., mean, median, mode, histogram). I’ll give you practical examples using a Google Play Store dataset. TIMESTAMPS 00:00 Overview: Tooling (Excel, Python), Dataset 01:20 Check 1 01:53 Check 2 (with Practical Example) 05:34 Check 3 (with Practical Example) 09:39 Check 4 (with Practical Example) 12:05 Check 5 (with Practical Example) PROJECT FILES Kaggle dataset link ➡ https://www.kaggle.com/datasets/lava1... GitHub repo ➡ https://github.com/mochen862/new-data...