Strategies for Learning Data Science in 2020 (Data Science 101)

Data Professor · Beginner ·📊 Data Analytics & Business Intelligence ·6y ago
Data Science 101: Strategies for Learning Data Science in 2020 In this video, I share my strategies for learning data science as a beginner as you venture into the world of data science (artificial intelligence, big data, data mining, data analytics and business intelligence). These strategies for learning data science is how I learned data science. By implementing these strategies you can start your journey of getting started on data science. 🌟 Buy me a coffee: https://www.buymeacoffee.com/dataprofessor ⭕ Playlist: Check out our other videos in the following playlists. ✅ Data Science 101: …
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Uploads from Data Professor · Data Professor · 17 of 60

1 How a Biologist became a Data Scientist
How a Biologist became a Data Scientist
Data Professor
2 WEKA Tutorial #1.1 - How to Build a Data Mining Model from Scratch
WEKA Tutorial #1.1 - How to Build a Data Mining Model from Scratch
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3 WEKA Tutorial #1.2 - How to Build a Data Mining Model from Scratch
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
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
Computational Drug Discovery: Machine Learning for Making Sense of Big Data in Drug Discovery
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6 Data Professor Live Stream
Data Professor Live Stream
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7 Quotes #1 on Big Data and Data Science
Quotes #1 on Big Data and Data Science
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8 Quotes #2 on Big Data and Data Science
Quotes #2 on Big Data and Data Science
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9 Quotes #3 on Big Data and Data Science
Quotes #3 on Big Data and Data Science
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10 Quotes #4 on Big Data and Data Science
Quotes #4 on Big Data and Data Science
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11 Quotes #5 on Big Data and Data Science
Quotes #5 on Big Data and Data Science
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12 Data Science 101: Starting a Data Science / Data Mining Project
Data Science 101: Starting a Data Science / Data Mining Project
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13 Data Science 101: CRISP-DM - Data Mining / Data Science in 6 Steps
Data Science 101: CRISP-DM - Data Mining / Data Science in 6 Steps
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14 R Programming 101: How to Define Variables
R Programming 101: How to Define Variables
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15 R Programming 101: Read and Write CSV files
R Programming 101: Read and Write CSV files
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16 Data Science 101: Basic Command-Line for Data Science
Data Science 101: Basic Command-Line for Data Science
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Strategies for Learning Data Science in 2020 (Data Science 101)
Strategies for Learning Data Science in 2020 (Data Science 101)
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18 Building your Data Science Portfolio with GitHub (Data Science 101)
Building your Data Science Portfolio with GitHub (Data Science 101)
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19 R Programming 101: Setting up R programming environment (R, RStudio and RStudio.cloud)
R Programming 101: Setting up R programming environment (R, RStudio and RStudio.cloud)
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20 Exploratory Data Analysis in R: Towards Data Understanding
Exploratory Data Analysis in R: Towards Data Understanding
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21 Exploratory Data Analysis in R: Quick Dive into Data Visualization
Exploratory Data Analysis in R: Quick Dive into Data Visualization
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22 Machine Learning in R: Building a Classification Model
Machine Learning in R: Building a Classification Model
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23 Machine Learning in R: Repurpose Machine Learning Code for New Data
Machine Learning in R: Repurpose Machine Learning Code for New Data
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24 Data Science 101: Deploying your Machine Learning Model
Data Science 101: Deploying your Machine Learning Model
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25 Machine Learning in R: Deploy Machine Learning Model using RDS
Machine Learning in R: Deploy Machine Learning Model using RDS
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26 Data Pre-processing in R: Handling Missing Data
Data Pre-processing in R: Handling Missing Data
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27 Machine Learning in R: Speed up Model Building with Parallel Computing
Machine Learning in R: Speed up Model Building with Parallel Computing
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28 Data Science 101: Overview of Machine Learning Model Building Process
Data Science 101: Overview of Machine Learning Model Building Process
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29 Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1
Web Apps in R: Building your First Web Application in R | Shiny Tutorial Ep 1
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30 Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2
Web Apps in R: Build Interactive Histogram Web Application in R | Shiny Tutorial Ep 2
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31 Web Apps in R: Building Data-Driven Web Application in R | Shiny Tutorial Ep 3
Web Apps in R: Building Data-Driven Web Application in R | Shiny Tutorial Ep 3
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32 Web Apps in R: Building the Machine Learning Web Application in R | Shiny Tutorial Ep 4
Web Apps in R: Building the Machine Learning Web Application in R | Shiny Tutorial Ep 4
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33 Web Apps in R: Build BMI Calculator web application in R for health monitoring | Shiny Tutorial Ep 5
Web Apps in R: Build BMI Calculator web application in R for health monitoring | Shiny Tutorial Ep 5
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34 Machine Learning in R: Building a Linear Regression Model
Machine Learning in R: Building a Linear Regression Model
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35 What programming language to learn for Data Science? R versus Python
What programming language to learn for Data Science? R versus Python
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36 How to Become a Data Scientist (Learning Path and Skill Sets Needed)
How to Become a Data Scientist (Learning Path and Skill Sets Needed)
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37 Using Python in R
Using Python in R
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38 Interpretable Machine Learning Models
Interpretable Machine Learning Models
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39 Making Scatter Plots in R [Data Visualisation in R series]
Making Scatter Plots in R [Data Visualisation in R series]
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40 Machine Learning in Python: Building a Classification Model
Machine Learning in Python: Building a Classification Model
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41 Compare Machine Learning Classifiers in Python
Compare Machine Learning Classifiers in Python
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42 Hyperparameter Tuning of Machine Learning Model in Python
Hyperparameter Tuning of Machine Learning Model in Python
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43 Practical Introduction to Google Colab for Data Science
Practical Introduction to Google Colab for Data Science
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44 File Handling in Google Colab for Data Science
File Handling in Google Colab for Data Science
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45 Pandas for Data Science: Create and Combine DataFrames / Rename Columns
Pandas for Data Science: Create and Combine DataFrames / Rename Columns
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46 Machine Learning in Python: Building a Linear Regression Model
Machine Learning in Python: Building a Linear Regression Model
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47 Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data
Machine Learning in Python: Principal Component Analysis (PCA) for Handling High-Dimensional Data
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48 How to Plot an ROC Curve in Python | Machine Learning in Python
How to Plot an ROC Curve in Python | Machine Learning in Python
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49 Installing conda on Google Colab for Data Science
Installing conda on Google Colab for Data Science
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50 Use native R on Google Colab for Data Science
Use native R on Google Colab for Data Science
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51 How to Save and Download files from Google Colab
How to Save and Download files from Google Colab
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52 Easy Web Scraping in Python using Pandas for Data Science
Easy Web Scraping in Python using Pandas for Data Science
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53 Data Science for Computational Drug Discovery using Python (Part 1)
Data Science for Computational Drug Discovery using Python (Part 1)
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54 Pandas Profiling for Data Science (Quick and Easy Exploratory Data Analysis)
Pandas Profiling for Data Science (Quick and Easy Exploratory Data Analysis)
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55 Exploratory Data Analysis in Python using pandas
Exploratory Data Analysis in Python using pandas
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56 Quick tour of PyCaret (a low-code machine learning library in Python)
Quick tour of PyCaret (a low-code machine learning library in Python)
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57 How to Upload Files to Google Colab
How to Upload Files to Google Colab
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58 How to Install and Use Pandas Profiling on Google Colab
How to Install and Use Pandas Profiling on Google Colab
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59 How to Adjust the Style of Pandas DataFrame
How to Adjust the Style of Pandas DataFrame
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60 How to use Bamboolib for Data Wrangling in Data Science
How to use Bamboolib for Data Wrangling in Data Science
Data Professor
5 Must-Read Business Analytics Books for 2026 📚
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5 Must-Read Business Analytics Books for 2026 📚
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