40 Data Science Tips I Wish I Knew Sooner

🌟 Master Python and Build Awesome AI Projects 👉 https://python-course-earlybird.frame... 📩 Receive top data science/ AI insights in your inbox 👉 https://thu-vu.ck.page/49c5ee08f6 💬 Interested in hearing about my coming courses? 👉 https://forms.gle/u4h9fLmbxjQHHScb9 📚 Glimpse into R data.table 👉 https://bookdown.org/brianjmpark/ever... Hi everyone 👋! In this video I demonstrated 40 tips to help you become more proficient in day-to-day data science tools such as Jupyter notebooks, VS Code, Python, R and RStudio, and Excel! It's definitely the longest video I have ever made and took me tons of time, but hopefully it will give you some useful tips, no matter if you are a novice or a seasoned data analyst/ data scientist. Thank you for watching and have a great day! 🤗 🔑 TIMESTAMPS ================================ Tips for Jupyter notebooks: 00:00 Intro 00:48 Jupyter Notebooks 00:50 - #1 Use JupyterLab/ VS Code (instead of Notebook) 2:44 - #2 Useful shortcuts in notebooks 7:44 - #3 Add an image to notebooks 8:36 - #4 Move around quickly 10:04 - #5 Multi-cursors 11:16 - #6 Code completion 11:41 - #7 Debugging in JupyterLab 19:45 - #8 Magics 23:07 - #9 Timeit magic 24:40 - #10 Writing formulas in notebook cells Tips for Python: 25:46 - Python 25:58 - #11 Chaining comparisons 26:31 - #12 Using f-strings 27:32 - #13 List comprehensions 29:12 - #14 Creating Python virtual environments 30:47 - #15 Creating and using requirements.txt file 32:39 - #16 Python libraries for profiling reports 33:38 - #17 Highlighting pandas tables 35:17 - #18 Type hinting Tips for Visual Studio Code: 37:14 - VS Code 37:30 - #19 Opening project folders VS Code 39:07 - #20 Using code completion VS Code 39:43 - #21 Useful shortcuts in VS Code 42:32 - #22 Running Python scripts interactively in VS Code 43:55 - #23 Debugging in VS Code Tips for RStudio (sorry I accidentally had double #27 here 😅) 46:07 - RStudio 46:23 - #24 Shortcuts in RStudio 47:11 - #25 Find function definition in RStudio 48:48 - #26 Creating R projects 50:08 - #27 Debugging in RStudio 51:20 - #27 The most useful package in R 😉 52:31 - #28 Data profiling in R 54:16 - #29 Parallelizing code in R (doParallel package) Tips for Excel: 59:16 - Excel 59:41 - #30 Customising status bar in Excel 1:00:24 - #31 Using Analyze Data tool in Excel 1:02:48 - #32 Using Excel table 1:05:24 - #33 Creating slicers for Excel reports 1:06:28 - #34 Keyboard shortcuts in Excel 1:07:48 - #35 Typing headers quickly in Excel 1:08:27 - #36 Doing statistical analyses in Excel 1:09:52 - #37 Filling blank values in Excel 1:10:43 - #38 Conditional formatting in Excel 1:12:00 - #39 Recording custom Excel macros 1:15:15 Conclusion 👩🏻‍💻 COURSES & RESOURCES ================================ 📖 Google Advanced Data Analytics Certificate 👉 https://imp.i384100.net/anK9zZ 📖 Google Data Analytics Certificate 👉 https://imp.i384100.net/15v9y6 📖 Learn SQL Basics for Data Science Specialization 👉 https://imp.i384100.net/AovPnJ 📖 Excel Skills for Business 👉 https://coursera.pxf.io/doPaoy 📖 Machine Learning Specialization 👉 https://imp.i384100.net/RyjykN 📖 Data Visualization with Tableau Specialization 👉https://imp.i384100.net/n15XWR 📖 Deep Learning Specialization 👉 https://imp.i384100.net/zavBA0 📖 Mathematics for Machine Learning and Data Science Specialization 👉 https://imp.i384100.net/LXK0gj 📖 Applied Data Science with Python 👉 https://imp.i384100.net/gbxOqv As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you. Edited with Gling: https://gling.ai #python #datascience #productivity