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Python Basics for Data Science | Day 2 | Data Science Full Course | Data Science in 30 Days | #ds
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Data Science in 30 Days | Data Science Full Course Free | #datascience #fullcourse - Python Basics for Data Science | Day 2 | Data Science Full Course | Data Science in 30 Days | #ds

Unlock Data Science Mastery in 30 Days: From Basics to Advanced Techniques with The Data Key! Dive Deep into Python, Visualization, Machine Learning, and More. Transform Your Skills with Expert Guidance and Hands-On Learning. Join Now!

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30 learners

What you'll learn

Understand the fundamentals of data science and its application
Learn Python basics and key libraries like NumPy and Pandas for data analysis
Explore data visualization techniques using Matplotlib and Seaborn
Gain knowledge in statistical, probability, and calculus concepts for data science

This course includes

  • 5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Full Transcript

🚀 Welcome to Day 2 of the "Complete Data Science in 30 Days" series! 🎉 In this video, we cover Python Basics — the most important programming language for data science and machine learning. 👉 What you’ll learn today: • Python syntax and variables 🐍 • Data types (lists, tuples, dictionaries) 📊 • Control flow (if-else, loops) 🔄 • Functions and modular programming ⚙ • Why Python is essential for data science 💡 --------------------------------------------------------------------------------------------------------------------------- ▶️ This series is designed to take you from beginner to advanced in just 30 days, with clear explanations and practical examples. 📌 Don’t forget to Subscribe to The Data Key so you don’t miss Day 3: NumPy Essentials! --------------------------------------------------------------------------------------------------------------------------- 🔗 Resources to Learn More: 🔹Official Python Docs: https://docs.python.org/3/ 🔹W3Schools Python Tutorial: https://www.w3schools.com/python/ 🔹Python for Data Science Handbook (free): https://jakevdp.github.io/PythonDataScienceHandbook/ 📚 Books & Learning Resources: 🔸Python for Data Analysis - Data Wrangling with pandas, NumPy, and Jupyter by Wes McKinney : https://amzn.to/41XCedX 🔸Data Analytics using Python Paperback by Bharti Motwani : https://amzn.to/4n9cjZk 🔸Data Science and Analytics with Python Paperback by Sandhya Arora, Latesh Malik : https://amzn.to/41XCV73 🔸Python Data Science Handbook: Essential Tools for Working with Data by Jake VanderPlas : https://amzn.to/42z3ob7 ------------------------------------------------------------------------------------------------------------------------- OUTLINE: 00:00:00 : Your Python Journey Begins! 00:01:21 : Variables and Data Types 00:03:14 : Lists and Dictionaries 00:05:14 : SECTION S004: Functions in Python 00:07:46 : SECTION S005: The Magic of Loops 00:09:33 : SECTION S006: Introducing NumPy 00:11:34 : Getting Started with Pandas 00:13:37 : Visualizing with Matplotlib & Conclusion ------------------------------------------------------------------------------------------------------------------------- #datascience #python #course #machinelearning #bigdata #deeplearning #artificialintelligence #ai #datavisualization #thedatakey #datasciencewiththedatakey #learnwiththedatakey #dataanalytics #data #fullcourse #30dayschallenge #30daysofdatascience #newvideo #youtubevideo #pythontutorial #pythonforbeginners #pythonprogramming #pythonprojects #foryou #trending #subscribe

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