Python Crash Course: Part 4 - Understanding Data Types
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- čas přidán 23. 07. 2024
- Are you ready to have more impact at work with analytics and data science powered by Python? This crash course is designed for ANY professional to learn the subset of Python needed to analyze data.
After completing this crash course series, you will have the foundational Python skills to take additional analytics, data science, and machine learning courses using Python.
Part 4 of this Python crash course introduces you to fundamental Python data types: ints, floats, strings, and booleans. These are the building blocks for analytics and data science using Python
☕ If you found this content useful and would like to support the channel, you can buy me a coffee: www.buymeacoffee.com/DaveOnData
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VIDEO CHAPTERS
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00:00 Intro
00:41 Data Table Columns Have Types
07:19 Integers
25:16 Floats
34:54 Strings
49:57 Booleans
59:27 Free Data Science Crash Courses
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FREE DATA SCIENCE CRASH COURSES
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If you're ready to see what Python skills make possible, be sure to check out my FREE on-demand data science crash courses!
Here's what you get with any of these courses:
1️⃣ On-Demand: Watch the course when it fits your schedule
2️⃣ PDF of all slides
3️⃣ All Python code as a Jupyter Notebook
4️⃣ All data so you can experiment
5️⃣ Resources to continue your learning.
Data science with Python. You've got this if you want it:
💻 Decision Trees with Python:
bit.ly/DecisionTreesWithPython
💻 Tuning Decision Trees with Python:
bit.ly/TuningDecisionTreesWit...
💻 Logistic Regression with Python:
bit.ly/LogisticRegressionWith...
💻 Cluster Analysis with Python:
bit.ly/ClusterAnalysisWithPython
#python #pythonprogramming #pythontutorial #pythonforbeginners #pythoncrashcourse #pythoncourse - Věda a technologie
--------------------------------------------------------------------------------------------
FREE DATA SCIENCE CRASH COURSES
--------------------------------------------------------------------------------------------
If you're ready to see what Python skills make possible, be sure to check out my FREE on-demand data science crash courses!
Here's what you get with any of these courses:
1 - On-Demand: Watch the course when it fits your schedule
2 - PDF of all slides
3 - All Python code as a Jupyter Notebook
4 - All data so you can experiment
5 - Resources to continue your learning.
Data science with Python. You've got this if you want it:
💻 Decision Trees with Python:
bit.ly/DecisionTreesWithPython
💻 Tuning Decision Trees with Python:
bit.ly/TuningDecisionTreesWithPython
💻 Logistic Regression with Python:
bit.ly/LogisticRegressionWithPython
💻 Cluster Analysis with Python:
bit.ly/ClusterAnalysisWithPython
Excellent course David. Clear, concise and understandable. Thank you for creating.
You are most welcome! I am happy to hear that you are enjoying the crash course. More videos to come next week!
Thank you David for this excellent course. Truly appreciate your effort. I like that you first explain the fundamentals (concepts) and then illustrate with examples. Great work indeed!
Thank you so much for taking the time to write such kind words! I am glad you are liking the tutorial.
Nice
I'm happy that C was my first language to learn because for Python I'm just learning the syntax honestly
@-Hussainnn - Indeed! Learning the first programming language is always the hardest. I'm an old-school C++ guy, so I found Python easy to learn. Although, I think Python is kind of clunky compared to other options for data science (e.g., R).
You know when he apologizes in advance for the length the video will be straight🔥🔥🔥
Thank you for this! It's always a tough choice between creating a single long video vs. many short videos.
Thank you for these videos. They are super helpful.
You are welcome! I am glad you are enjoying the tutorial series.
Still very much bite size chunks. Thank you!!
You are welcome! Glad you are still enjoying the content.
You rock. Going for a data annotation specialist job that requires some python. You literally saved me brother. Thank you.
Outstanding! Two new videos will be published tomorrow.
He's back to posting on YT!
I was worried there for a minute. Keep on rocking, champion🏆
Thank you! I am back after a long hiatus. I'm really excited to be building this new tutorial series.
Great & very nice
Glad you liked the video! Thank you for the kind words.
I am still surprised that you don't have any courses on Udemy at least for Business. I enjoy how you go through this topics.
#Happy_Data_Sluething!
I have considered Udemy from time to time, but I have other commitments right now.
I am glad you are enjoying the tutorial series.