Day 15: Advanced String Operations Every Data Scientist Must Know | 120-Day Data Science Series

#python #vscode #datascience #machinelearning #genai #agenticai #pythonbeginners #codingforbeginners #datasciencetutorial #pythonsetup 120-Day Data Science Series Welcome to Day 15 of the 120-Day Data Science Series! 🎯 In today’s video, we dive into Advanced String Operations in Python, one of the most important skills for Data Science, NLP, and real-world data cleaning. If you can’t clean and preprocess text properly, you can’t build reliable machine learning models. This video focuses ONLY on the string techniques that data scientists actually use. 🔥 What You Will Learn in This Video (Day 15) ✅ String Indexing & Slicing Understand how to extract meaningful parts of text. ✅ String Immutability (Why It Matters) Learn why strings behave differently in pipelines. ✅ Text Cleaning Techniques Lowercase & uppercase normalization Removing extra spaces Stripping unwanted characters ✅ Replacing & Removing Characters Clean noisy text from real datasets. ✅ Splitting & Joining Strings Convert raw text into structured data. ✅ Searching & Counting in Strings Find keywords Count word frequency ✅ String Validation Methods Check if text contains numbers, alphabets, or symbols. ✅ Handling Missing & Noisy Text Deal with NA, empty strings, and messy values. ✅ String Formatting (f-strings) Clean and format outputs for reporting and analysis. ✅ Tokenization Basics (Pre-NLP) Break text into words before applying NLP or Regex. ✅ Strings in Data Cleaning Pipelines Real-world examples used in projects. ✅ Strings in Feature Engineering Extract meaningful features from text data. 🔗 Resources & Links 📘 Notebook / Code Files: https://drive.google.com/drive/folder... 🎯 Why Sets Are Important for Data Science? Sets help you: Clean data efficiently Remove duplicates instantly Perform fast comparisons Handle large datasets better Simplify NLP and feature engineering logic Mastering sets makes your Python code cleaner, faster, and more professional. ▶️ Watch Previous Days (Full Playlist) 📌 Day 1 – VS Code Installation 📌 Day 2 – Python Basics [   • How to Install VS Code for Python (Step-by...  ] 📌 Day 3 – Data Structures + Libraries [    • Day 2: Python Basics for Data Science (Beg...   ] 📌 Day 4 – If–Elif–Else Conditions [    • Day 3: Python Data Structures, NumPy & Pan...   ] 📌 Day 5 – For Loop [    • Day 4: Python If–Elif–Else Explained for D...   ] 📌 Day 6 – For Loop Advance [    • Day 6 : Python For Loop SECRET You Need to...   ] 📌 Day 7 – Full While Loop Masterclass [    • Day 7: While Loop Mastery for Data Science...   ] 📌 Day 8 – Functions 📌 Day 9 – List Basics 📌 Day 10 – Advanced Lists 📌 Day 11 – Tuples 📌 Day 12 – Dictionaries (Basics) 📌 Day 13 – Advanced Dictionaries 📌 Day 14 – Python Sets 🎥 Full Playlist: [    • 120 Day Data Science Series   ] 🔗 Follow Me on Socials 📸 Instagram:   / datascientistafzal.ai   💼 LinkedIn:   / afzal-mansury   📢 WhatsApp Channel: https://whatsapp.com/channel/0029VaCL... 🌐 TopMate (Ask me Anything): https://topmate.io/dashboard/home 🎥 Gear & Products I Use (Affiliate Links) 🎙️ Hollyland Lark M2 Combo : https://amzn.to/4nqWpst 💡 Digitek Ring Light : https://amzn.to/4oLDauW 📷 Digitek Tripod : https://amzn.to/43BjscY 💻 My Laptop Lenovo LOQ 2025 AMD Ryzen 7 250| NVIDIA RTX 5050 8GB : https://amzn.to/4ocqbCp 🎬 My Gaming Chair: https://amzn.to/4qAYrsI python dictionary basics, python dictionary tutorial, nested dictionary python, python for data science, python data structures, dictionary methods python, 120 day data science series, python beginner to advanced, python key value pairs, python interview preparation, Other Title “Day 2: Essential Python for Data Science | Variables, Loops, Functions | 120-Day Series, “Day 3: Python Data Structures, NumPy & Pandas Basics | 120-Day Data Science Series”, “Python Data Structures for Data Science (Lists, Tuples, Dicts) | Day 3 of 120-Day DS Series”, “Day 3: Python Data Structures + NumPy, Pandas & EDA Basics | Data Science Series (120 Days)”, “Learn Python Data Structures for Data Science | Day 3: NumPy, Pandas, NLP Basics”, “Python for Data Science – Day 3: Data Structures, NumPy, Pandas, Matplotlib (120-Day Series)”, “Day 3: Essential Python Data Structures for Data Science | NumPy & Pandas Explained”, “Python Data Structures & NumPy/Pandas Basics | Day 3 of Data Science Series”, “Day 5: Python For Loop Explained for Data Science | 120-Day Data Science Series”, “Python For Loop Tutorial for Beginners | Day 5 of 120-Day Data Science Series”, “Python For Loop: Range, Enumerate, Nested Loops & More | Day 5 Data Science Series”, “Learn Python For Loop Step-by-Step | Day 5: Data Science for Beginners”, “Python For Loop Basics to Advanced (Range, Break, Continue, Nested) | Day 5”, “Python Loops for Data Science – For Loop Explained | Day 5 of 120 Days", “Day 5: Python For Loop Made Easy | Data Science Series”