Full SQL Crash Course - Learn SQL in 90 Minutes

NeuralNine · Beginner ·📊 Data Analytics & Business Intelligence ·2y ago

Key Takeaways

This SQL crash course covers the basics of working with databases in under 90 minutes, teaching viewers how to use SQL to manage and analyze data.

Original Description

This video is an SQL crash course for beginners. It teaches you working with databases in under 90 minutes. ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 💼 Services 💼 💻 Freelancing & Tutoring: https://www.neuralnine.com/services 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm
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2 Python Beginner Tutorial #1 - Installation and First Program
Python Beginner Tutorial #1 - Installation and First Program
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3 Python Beginner Tutorial #2 - Variables and Data Types
Python Beginner Tutorial #2 - Variables and Data Types
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4 Python Beginner Tutorial #3 - Operators and User Input
Python Beginner Tutorial #3 - Operators and User Input
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5 Python Beginner Tutorial #4 - If Statements and Conditions
Python Beginner Tutorial #4 - If Statements and Conditions
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6 Python Beginner Tutorial #5 - Loops
Python Beginner Tutorial #5 - Loops
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7 Python Beginner Tutorial #6 - Sequences and Collections
Python Beginner Tutorial #6 - Sequences and Collections
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8 Python Beginner Tutorial #7 - Functions
Python Beginner Tutorial #7 - Functions
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9 Python Beginner Tutorial #8 - Exception Handling
Python Beginner Tutorial #8 - Exception Handling
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10 Python Beginner Tutorial #9 - File Operations
Python Beginner Tutorial #9 - File Operations
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11 Python Beginner Tutorial #10 - String Functions
Python Beginner Tutorial #10 - String Functions
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12 Python Intermediate Tutorial #1 - Classes and Objects
Python Intermediate Tutorial #1 - Classes and Objects
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13 Python Intermediate Tutorial #2 - Inheritance
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14 Python Intermediate Tutorial #3 - Multithreading
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15 Python Intermediate Tutorial #4 - Synchronizing Threads
Python Intermediate Tutorial #4 - Synchronizing Threads
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16 Python Intermediate Tutorial #5 - Events and Daemon Threads
Python Intermediate Tutorial #5 - Events and Daemon Threads
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17 Python Intermediate Tutorial #6 - Queues
Python Intermediate Tutorial #6 - Queues
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18 Python Intermediate Tutorial #7 - Sockets and Network Programming
Python Intermediate Tutorial #7 - Sockets and Network Programming
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19 Python Intermediate Tutorial #8 - Database Programming
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20 Python Intermediate Tutorial #9 - Recursion
Python Intermediate Tutorial #9 - Recursion
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21 Python Intermediate Tutorial #10 - XML Processing
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22 Python Intermediate Tutorial #11 - Logging
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23 Python Data Science Tutorial #1 - Anaconda and PyCharm Setup
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24 Python Data Science Tutorial #2 - NumPy Arrays
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25 Python Data Science Tutorial #3 - Numpy Functions
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26 Python Data Science Tutorial #4 - Plotting Functions With Matplotlib
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27 Python Data Science Tutorial #5 - Subplots and Multiple Windows
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28 Python Data Science Tutorial #6 - Matplotlib Styling
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29 Python Data Science Tutorial #7 - Bar Charts with Matplotlib
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30 Python Data Science Tutorial #8 - Pie Charts with Matplotlib
Python Data Science Tutorial #8 - Pie Charts with Matplotlib
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31 Python Data Science Tutorial #9 - Plotting Histograms with Matplotlib
Python Data Science Tutorial #9 - Plotting Histograms with Matplotlib
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32 Python Data Science Tutorial #10 - Scatter Plots with Matplotlib
Python Data Science Tutorial #10 - Scatter Plots with Matplotlib
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33 Python Data Science Tutorial #11 - 3D Plotting with Matplotlib
Python Data Science Tutorial #11 - 3D Plotting with Matplotlib
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34 Python Data Science Tutorial #12 - Pandas Series
Python Data Science Tutorial #12 - Pandas Series
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35 Python Data Science Tutorial #13 - Pandas Data Frames
Python Data Science Tutorial #13 - Pandas Data Frames
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36 Python Data Science Tutorial #14 - Pandas Statistics
Python Data Science Tutorial #14 - Pandas Statistics
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37 Python Data Science Tutorial #15 - Pandas Sorting and Functions
Python Data Science Tutorial #15 - Pandas Sorting and Functions
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38 Python Data Science Tutorial #16 - Pandas Merging Data Frames
Python Data Science Tutorial #16 - Pandas Merging Data Frames
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39 Python Data Science Tutorial #17 - Pandas Queries
Python Data Science Tutorial #17 - Pandas Queries
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40 Python Machine Learning Tutorial #1 - What is Machine Learning?
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41 Python Machine Learning Tutorial #2 - Linear Regression
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42 Python Machine Learning Tutorial #3 - K-Nearest Neighbors Classification
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43 Python Machine Learning #4 - Support Vector Machines
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44 Python Machine Learning Tutorial #5 - Decision Trees and Random Forest Classification
Python Machine Learning Tutorial #5 - Decision Trees and Random Forest Classification
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45 Python Machine Learning Tutorial #6 - K-Means Clustering
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46 Python Machine Learning Tutorial #7 - Neural Networks
Python Machine Learning Tutorial #7 - Neural Networks
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47 Python Machine Learning Tutorial #8 - Handwritten Digit Recognition with Tensorflow
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48 Generating Poetic Texts with Recurrent Neural Networks in Python
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49 Stock Portfolio Visualization with Matplotlib in Python
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50 Analyzing Coronavirus with Python (COVID-19)
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51 Making Text Images Readable Again with Python and OpenCV
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52 Neural Networks Simply Explained (Theory)
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53 Motion Filtering with OpenCV in Python
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56 Image Classification with Neural Networks in Python
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57 Edge Detection with OpenCV in Python
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58 S&P 500 Web Scraping with Python
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59 Simple Sentiment Text Analysis in Python
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60 Introduction - Algorithms & Data Structures #1
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This video provides a comprehensive introduction to SQL, covering the basics of database management and data analysis. Viewers will learn how to write SQL queries, manage databases, and analyze data. By the end of the video, viewers will have a solid understanding of SQL fundamentals and be able to apply them to real-world scenarios.

Key Takeaways
  1. Install a database management system
  2. Create a database
  3. Design a data model
  4. Write SQL queries to manage and analyze data
  5. Practice querying data
  6. Learn data modeling basics
💡 SQL is a powerful language for managing and analyzing data, and mastering its basics is essential for working with databases.

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