How I Use Notion as a Professor and Content Creator in Data Science (Template Included)

Data Professor · Intermediate ·🖊️ Copywriting & Content Strategy ·4y ago
Sign up for Notion here: https://ntn.so/datanotion For a long time, I've always struggled with finding the optimal productivity system to help manage my endeavors as a Professor and Content Creator making educational YouTube videos and blog posts. In this video, I'll take you on a journey of how I use Notion as I show you the various use cases that I currently use and planning to implement in the near future. Some of the things that I like about Notion is its modular and high customizability as well as its support for coding snippets. Thanks to Notion for sponsoring this video. ⭕ Timeline 0:00 Introduction 2:25 Save time and increase productivity 2:45 Team collaboration 3:22 Customizable 3:31 Use case for teaching 6:22 Support for code snippets 18:40 My Notion template for 66 days of data 25:05 Use case for content creation 29:05 Notion templates 31:01 Use case for making portfolio website 32:33 Use case for making E-book 33:42 Summary of my user cases 34:33 What I like about Notion ⭕ Links for this video ➡️ My Notion Template https://dataprofessor.notion.site/66-Days-of-Data-Template-1dd4e902db41445bb24249ed05b44c8e ➡️ Practical Statistics for Data Scientists https://amzn.to/3ib1nv9 ➡️ Workshop syllabus https://www.notion.so/dataprofessor/How-to-build-a-bioinformatics-web-app-00b40d3d2235449993dec58bcece5e38 ➡️ Ken's Notion Template https://www.notion.so/66DaysOfData-86145f47abde44e6ac30dbf484f3734c ➡️ Liam's Portfolio Website Template https://liamsorta.gumroad.com/l/NotionSiteFree ➡️ Vlad Ebook made in Notion https://vladpasca5.gumroad.com/l/web-developer-knowledge 1️⃣ Thomas Frank https://youtu.be/m9S5I3pWz94 2️⃣ Ali Abdaal https://youtu.be/Ck5JOj4TlM4 3️⃣ Mayuko https://youtu.be/3r0OGNy4NGg 4️⃣ Ken Jee https://youtu.be/8nTmuKI2oyA 5️⃣ Jeff Su https://youtu.be/vYKyTNlUHCo ➡️ Notion API https://developers.notion.com/ ⭕ Disclaimer: Recommended books and tools are affiliate links that gives me a portion of sales at no cost to you, which will contribute to th
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3 WEKA Tutorial #1.2 - How to Build a Data Mining Model from Scratch
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4 WEKA Tutorial #1.3 - How to Build a Data Mining Model from Scratch
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5 Computational Drug Discovery: Machine Learning for Making Sense of Big Data in Drug Discovery
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6 Quotes #1 on Big Data and Data Science
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7 Quotes #2 on Big Data and Data Science
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8 Quotes #3 on Big Data and Data Science
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10 Quotes #5 on Big Data and Data Science
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12 Data Science 101: CRISP-DM - Data Mining / Data Science in 6 Steps
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13 R Programming 101: How to Define Variables
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14 R Programming 101: Read and Write CSV files
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15 Data Science 101: Basic Command-Line for Data Science
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16 Strategies for Learning Data Science in 2020 (Data Science 101)
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17 Building your Data Science Portfolio with GitHub (Data Science 101)
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18 R Programming 101: Setting up R programming environment (R, RStudio and RStudio.cloud)
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19 Exploratory Data Analysis in R: Towards Data Understanding
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20 Exploratory Data Analysis in R: Quick Dive into Data Visualization
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21 Machine Learning in R: Building a Classification Model
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22 Machine Learning in R: Repurpose Machine Learning Code for New Data
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23 Data Science 101: Deploying your Machine Learning Model
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24 Machine Learning in R: Deploy Machine Learning Model using RDS
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25 Data Pre-processing in R: Handling Missing Data
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26 Machine Learning in R: Speed up Model Building with Parallel Computing
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27 Data Science 101: Overview of Machine Learning Model Building Process
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28 Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1
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29 Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2
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30 Web Apps in R: Building Data-Driven Web Application in R | Shiny Tutorial Ep 3
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31 Web Apps in R: Building the Machine Learning Web Application in R | Shiny Tutorial Ep 4
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32 Web Apps in R: Build BMI Calculator web application in R for health monitoring | Shiny Tutorial Ep 5
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33 Machine Learning in R: Building a Linear Regression Model
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34 What programming language to learn for Data Science? R versus Python
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35 How to Become a Data Scientist (Learning Path and Skill Sets Needed)
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36 Using Python in R
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37 Interpretable Machine Learning Models
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38 Making Scatter Plots in R [Data Visualisation in R series]
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39 Machine Learning in Python: Building a Classification Model
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40 Compare Machine Learning Classifiers in Python
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41 Hyperparameter Tuning of Machine Learning Model in Python
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42 Practical Introduction to Google Colab for Data Science
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43 File Handling in Google Colab for Data Science
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44 Pandas for Data Science: Create and Combine DataFrames / Rename Columns
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45 Machine Learning in Python: Building a Linear Regression Model
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46 Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data
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47 How to Plot an ROC Curve in Python | Machine Learning in Python
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48 Installing conda on Google Colab for Data Science
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49 Use native R on Google Colab for Data Science
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50 How to Save and Download files from Google Colab
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51 Easy Web Scraping in Python using Pandas for Data Science
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52 Data Science for Computational Drug Discovery using Python (Part 1)
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53 Pandas Profiling for Data Science (Quick and Easy Exploratory Data Analysis)
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54 Exploratory Data Analysis in Python using pandas
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57 How to Install and Use Pandas Profiling on Google Colab
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58 How to Adjust the Style of Pandas DataFrame
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59 How to use Bamboolib for Data Wrangling in Data Science
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60 How to use Pandas Profiling on Kaggle
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Chapters (13)

Introduction
2:25 Save time and increase productivity
2:45 Team collaboration
3:22 Customizable
3:31 Use case for teaching
6:22 Support for code snippets
18:40 My Notion template for 66 days of data
25:05 Use case for content creation
29:05 Notion templates
31:01 Use case for making portfolio website
32:33 Use case for making E-book
33:42 Summary of my user cases
34:33 What I like about Notion
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