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Data Cleaning in Python Essential Training Online Class | LinkedIn Learning, formerly Lynda.com
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Be honest — is this normal progress for Day 5? This is Day 5 of learning Python and my deliverable was a mini “data cleaning” task: messy field names → clean snake_case diagnostics. Dot notation is still the weirdest thing to my beginner brain 😅 Today’s lesson also covered: other string methods like : .find() — .count() -- .startswith() —.endswith() Tomorrow: split, join, parsing. Any recommendations for what I should parse first? #learnpython #python #codingbeginner #buildinpublic #dataenginee
0:38
Be honest — is this normal progress for Day 5? This is Day 5 of learning Python and my deliverable was a mini “data cleaning” task: messy field names → clean snake_case diagnostics. Dot notation is still the weirdest thing to my beginner brain 😅 Today’s lesson also covered: other string methods like : .find() — .count() -- .startswith() —.endswith() Tomorrow: split, join, parsing. Any recommendations for what I should parse first? #learnpython #python #codingbeginner #buildinpublic #dataenginee
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TikTokhanga.codes
Learning how to clean data in Python from fixing data types and duplicates to handling missing values and record linkage. Data cleaning is one of the most important steps in data science. Follow my journey as I learn data science step by step!! #WomenInTech #DataScience #STEM #DataCleaning
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Learning how to clean data in Python from fixing data types and duplicates to handling missing values and record linkage. Data cleaning is one of the most important steps in data science. Follow my journey as I learn data science step by step!! #WomenInTech #DataScience #STEM #DataCleaning
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