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Reading list

6 Steps of Machine learning Lifecycle Introduction to Predictive Modeling
Introduction to Exploratory Data Analysis & Data Insights Descriptive Statistics Inferential Statistics How to Understand Population Distributions?
Reading Data Files into Python Different Variable Datatypes
Probability for Data Science Basic Concepts of Probability Axioms of Probability Conditional Probability
Central Tendencies for Continuous Variables Spread of Data KDE plots for Continuous Variable Overview of Distribution for Continuous variables Normal Distribution Skewed Distribution Skeweness and Kurtosis Distribution for Continuous Variable
Central Tendencies for Categorical Variables Understanding Discrete Distributions Performing EDA on Categorical Variables
Dealing with Missing Values Understanding Outliers Identifying Outliers in Data Outlier Detection in Python Outliers Detection Using IQR, Z-score, LOF and DBSCAN
Sample and Population Central Limit Theorem Confidence Interval and Margin of Error
Bivariate Analysis Introduction
Covariance Pearson Correlation Spearman's Correlation & Kendall's Tau Correlation versus Causation Tabular and Graphical methods for Bivariate Analysis Performing Bivariate Analysis on Continuous-Continuous Variables
Tabular and Graphical methods for Continuous-Categorical Variables Introduction to Hypothesis Testing P-value Two sample Z-test T-test T-test vs Z-test Performing Bivariate Analysis on Continuous-Catagorical variables
Chi-Squares Test Bivariate Analysis on Categorical Categorical Variables
Multivariate Analysis A Comprehensive Guide to Data Exploration The Data Science behind IPL
Supervised Learning vs Unsupervised Learning Reinforcement Learning Generative and Descriminative Models Parametric and Non Parametric model
Machine Learning Pipeline Preparing Dataset Build a Benchmark Model: Regression Build a Benchmark Model: Classification
Evaluation Metrics for Machine Learning Everyone should know Confusion Matrix Accuracy Precision and Recall AUC-ROC Log Loss R2 and Adjusted R2
Dealing with Missing Values Replacing Missing Values Imputing Missing Values in Data Working with Categorical Variables Working with Outliers Preprocessing Data for Model Building
Understanding Cost Function Understanding Gradient Descent Math Behind Gradient Descent Assumptions of Linear Regression Implement Linear Regression from Scratch Train Linear Regression in Python Implementing Linear Regression in R Diagnosing Residual Plots in Linear Regression Models Generalized Linear Models Introduction to Logistic Regression Odds Ratio Implementing Logistic Regression from Scratch Introduction to Scikit-learn in Python Train Logistic Regression in python Multiclass using Logistic Regression How to use Multinomial and Ordinal Logistic Regression in R ? Challenges with Linear Regression Introduction to Regularisation Implementing Regularisation Ridge Regression Lasso Regression
Introduction to K Nearest Neighbours Determining the Right Value of K in KNN Implement KNN from Scratch Implement KNN in Python
Bias Variance Tradeoff Introduction to Overfitting and Underfitting Visualizing Overfitting and Underfitting Selecting the Right Model What is Validation? Hold-Out Validation Understanding K Fold Cross Validation
Introduction to Feature Selection Feature Selection Algorithms Missing Value Ratio Low Variance Filter High Correlation Filter Backward Feature Elimination Forward Feature Selection Implement Feature Selection in Python Implement Feature Selection in R
Introduction to Decision Tree Purity in Decision Tree Terminologies Related to Decision Tree How to Select Best Split Point in Decision Tree? Chi-Squares Information Gain Reduction in Variance Optimizing Performance of Decision Tree Train Decision Tree using Scikit Learn Pruning of Decision Trees
Introduction to Feature Engineering Feature Transformation Feature Scaling Feature Engineering Frequency Encoding Automated Feature Engineering: Feature Tools
Understanding how to solve Multiclass and Multilabled Classification Problem Evaluation Metrics: Multi Class Classification
Introduction to Ensemble Techniques Basic Ensemble Techniques Implementing Basic Ensemble Techniques Finding Optimal Weights of Ensemble Learner using Neural Network Why Ensemble Models Work well?
Introduction to Stacking Implementing Stacking Variants of Stacking Implementing Variants of Stacking Introduction to Blending Bootstrap Sampling Introduction to Random Sampling Hyper-parameters of Random Forest Implementing Random Forest Out-of-Bag (OOB) Score in the Random Forest IPL Team Win Prediction Project Using Machine Learning Introduction to Boosting Gradient Boosting Algorithm Math behind GBM Implementing GBM in python Regularized Greedy Forests Extreme Gradient Boosting Implementing XGBM in python Tuning Hyperparameters of XGBoost in Python Implement XGBM in R/H2O Adaptive Boosting Implementing Adaptive Boosing LightGBM Implementing LightGBM in Python Catboost Implementing Catboost in Python
Different Hyperparameter Tuning methods Implementing Different Hyperparameter Tuning methods GridsearchCV RandomizedsearchCV Bayesian Optimization for Hyperparameter Tuning Hyperopt
Understanding SVM Algorithm SVM Kernels In-depth Intuition and Practical Implementation SVM Kernel Tricks Kernels and Hyperparameters in SVM Implementing SVM from Scratch in Python and R
Introduction to Principal Component Analysis Steps to Perform Principal Compound Analysis Computation of Covariance Matrix Finding Eigenvectors and Eigenvalues Implementing PCA in python Visualizing PCA A Brief Introduction to Linear Discriminant Analysis Introduction to Factor Analysis
Introduction to Clustering Applications of Clustering Evaluation Metrics for Clustering Understanding K-Means Implementation of K-Means in Python Implementation of K-Means in R Choosing Right Value for K Profiling Market Segments using K-Means Clustering Hierarchical Clustering Implementation of Hierarchial Clustering DBSCAN Defining Similarity between clusters Build Better and Accurate Clusters with Gaussian Mixture Models
Understand Basics of Recommendation Engine with Case Study
8 Ways to Improve Accuracy of Machine Learning Models
Introduction to Dask Working with CuML
Introduction to Machine Learning Interpretability Framework and Interpretable Models model Agnostic Methods for Interpretability Implementing Interpretable Model Understanding SHAP Out-of-Core ML Introduction to Interpretable Machine Learning Models Model Agnostic Methods for Interpretability Game Theory & Shapley Values
Introduction to AutoML Implementation of MLBox Introduction to PyCaret TPOT Auto-Sklearn EvalML
Pickle and Joblib Introduction to Model Deployment
Deploying Machine Learning Model using Streamlit Deploying ML Models in Docker Deploy Using Streamlit Deploy on Heroku Deploy Using Netlify Introduction to Amazon Sagemaker Setting up Amazon SageMaker Using SageMaker Endpoint to Generate Inference Deploy on Microsoft Azure Cloud Introduction to Flask for Model Deploying ML model using Flask
Model Deployment in Android Model Deployment in Iphone

Top 11 YouTube Channels to Learn Tableau

Yana Khare
Yana Khare 13 Sep, 2024
6 min read

Introduction

Tableau is considered one of the most robust data visualization tools currently in use by companies and individuals globally for efficient data analysis and presentation. With its user-friendly interface and extensive features, Mastering Tableau can significantly improve your capacity to transform raw data into valuable insights. Luckily, numerous top-quality YouTube channels provide in-depth tutorials to assist individuals in learning and mastering Tableau, regardless of their skill level. This article will examine the top 11 YouTube channels to learn about Tableau.

Table of contents

1. Tutorialspoint

@TutorialsPoint_ | 13K videos | 3.52M subscribers

11 YouTube Channels to Learn Tableau For Free

Tutorialspoint is a well-known platform for learning various subjects, including Tableau. Their YouTube channel offers step-by-step Tableau tutorials, making it an excellent resource for those seeking structured, easy-to-follow lessons. Additionally, this YouTube channel covers the basics of Tableau and how to create charts and dashboards. It also teaches advanced features like calculated fields and parameters.

Key Features:

  • Simple, beginner-friendly tutorials
  • Organized, step-by-step lessons
  • Focus on fundamentals with practical examples
  • Clear explanations of essential Tableau features

Click here to access this YouTube channel to learn Tableau

2. Chandoo

@chandoo_ | 492 videos | 650K subscribers

11 YouTube Channels to Learn Tableau For Free

Chandoo, renowned for his expertise in Excel, extends his skills to Tableau, focusing on data visualization techniques that simplify and enhance data presentation. Moreover, his YouTube channel is precious for professionals seeking to improve their dashboarding abilities. The content covers vital topics such as creating visually appealing Tableau dashboards, formatting tips and best practices, data storytelling using Tableau, and integrating Tableau with Excel for advanced analytics.

Key Features:

  • Focus on dashboard aesthetics and presentation
  • Simple, easy-to-understand tutorials
  • Real-world use cases and practical tips
  • Ideal for those familiar with Excel and looking to transition into Tableau

Click here to access this YouTube channel to learn Tableau

3. Data School

@dataschool | 148 videos | 243K subscribers

11 YouTube Channels to Learn Tableau For Free

Data School is a leading YouTube channel for data visualization enthusiasts. It offers guidance on using Tableau to make data-based decisions. The channel is useful for Tableau professionals in business analytics and data science looking to improve their skills. However, it also discusses Tableau fundamentals for newcomers, creating interactive dashboards, advanced functions such as calculated fields and data analysis, and using Tableau in specific industries.

Key Features:

  • Clear, concise tutorials
  • Focus on solving business problems with Tableau
  • Step-by-step guides for building dashboards
  • Strong emphasis on real-world applications

Click here to access this YouTube channel to learn Tableau

4. Tableau Tim

@TableauTim | 529 videos | 185K subscribers

Tableau Tim is a dedicated YouTube channel created by Tim Ngwena. Tim provides deep insights into mastering Tableau through real-world use cases and practical demonstrations. This channel is perfect for users looking to improve their Tableau skills with hands-on examples. It covers the creation of dashboards, building advanced charts, and visualizations. Additionally, it also gives Tableau tips and tricks for improving efficiency.

Key Features:

  • Focus on real-world business scenarios
  • Regularly updated content
  • Advanced techniques for seasoned users
  • Hands-on practical demonstrations

Click here to access this YouTube channel to learn Tableau

5. Tableau (Official)

@tableau | 3.6K videos | 113K subscribers

11 YouTube Channels to Learn Tableau For Free

Tableau’s creators provide valuable information on their official YouTube channel, making it a must-follow for those wanting to stay up-to-date on new features and best techniques. The channel covers a range of subjects, such as product demonstrations, showcasing features, sharing customer experiences, presenting successful case studies, and providing helpful advice for becoming proficient in Tableau. In addition, webinars covering advanced Tableau features offer extensive learning opportunities.

Key Features:

  • Direct updates from Tableau’s team
  • Regularly updated content
  • Clear tutorials on using the newest Tableau features
  • Webinars with industry experts

Click here to access this YouTube channel to learn Tableau

6. Analytics with Nags

@AnalyticswithNags | 476 videos | 112K subscribers

Nags, a data analytics expert, shares his expertise in Tableau through straightforward and easy-to-understand tutorials. Through his YouTube channel, he provides practical insights on using Tableau for data reporting and visualization, catering to beginners and advanced users. Furthermore, the material includes important subjects like developing Tableau reports and dashboards, advanced methods for creating charts, Tableau calculations and parameters, and combining and summarizing data.

Key Features:

  • Detailed step-by-step tutorials
  • Covers a wide range of Tableau functionalities
  • Tutorials on solving real-world business challenges using Tableau
  • Regular updates on advanced topics and features

Click here to access this YouTube channel to learn Tableau

7. Penguin Analytics

@penguinanalytics1984 | 111 videos | 35.2K subscribers

Penguin Analytics is a YouTube channel focused on Tableau that offers a mix of beginner and advanced tutorials. The content is designed to help users navigate Tableau’s complex features and create effective visualizations for business analysis. It teaches data preparation, blending, and calculations and gives tips for optimizing Tableau workflows.

Key Features:

  • Beginner-friendly tutorials and advanced content
  • Tutorials designed for business use cases
  • Clear, easy-to-follow instruction style
  • Focus on both technical and analytical aspects of Tableau

Click here to access this YouTube channel to learn Tableau

8. SuperDataScience: : ML & AI Podcast with Jon Krohn

@SuperDataScienceWithJonKrohn | 1.4K videos | 21.2K+ subscribers

SuperDataScience is a well-known YouTube channel for those looking to become data scientists. It provides diverse tutorials on different tools, such as Tableau. It is a perfect tool for incorporating Tableau into a more comprehensive data science education. Furthermore, the channel discusses important subjects like Tableau fundamentals for novices, creating dashboards and visuals, linking and modifying data sources, and advanced analytics using Tableau, incorporating case studies and hands-on projects for better comprehension.

Key Features:

  • Structured, easy-to-follow lessons
  • Playlists designed for beginners and advanced users
  • Hands-on examples and case studies
  • Broad coverage of data science concepts beyond Tableau

Click here to access this YouTube channel to learn Tableau

9. The Information Lab

@theinformationlab | 582 videos | 20K subscribers

The Information Lab is a YouTube channel focused on data visualization and analytics. It provides in-depth Tableau tutorials for both beginners and experienced data analysis professionals. The channel shares helpful tips on utilizing Tableau efficiently, discussing various topics like Tableau visualization fundamentals, data connection techniques, dashboard creation, and workflow enhancement.

Key Features:

  • Practical, business-oriented tutorials
  • Clear explanations of complex Tableau functionalities
  • Ideal for both beginners and advanced users
  • Emphasis on real-world applications and optimization

Click here to access this YouTube channel to learn Tableau

10. Data Viz Canvas

@DataVizCanvas | 151 videos | 9.3K subscribers

11 YouTube Channels to Learn Tableau For Free

Data Viz Canvas is a YouTube channel specializing in data storytelling and effective visualization of Tableau. It’s ideal for professionals interested in the art and science of presenting data in an engaging, clear, and visually appealing manner. Furthermore, it includes data storytelling and visualization best practices and how to create impactful dashboards.

Key Features:

  • Strong focus on data storytelling and visualization aesthetics
  • Practical tutorials for building visually appealing dashboards
  • Real-world examples and tips for improving user experience
  • Step-by-step lessons for all levels

Click here to access this YouTube channel to learn Tableau

11. DanceSingwith Data – BI & Analytics

@t_dancesingwithdata | 281 videos | 5.09K subscribers

11 YouTube Channels to Learn Tableau For Free

Dancing with Data is a channel that focuses on Tableau tutorials, emphasizing creating beautiful, functional visualizations. It is aimed at users who want to enhance their data storytelling skills through advanced visualization techniques. This channel makes its viewers learn data storytelling techniques, best practices for dashboard design, and creative approaches to Tableau visualizations.

Key Features:

  • Creative and innovative visualization techniques
  • Focus on aesthetics and usability in dashboards
  • Advanced tips for Tableau users
  • Step-by-step guides for building professional-quality dashboards

Click here to access this YouTube channel to learn Tableau

Conclusion

Thanks to the vast amount of top-notch content on YouTube, learning Tableau has become more accessible. The unique approach of the top 11 highlighted channels caters to different skill levels and learning preferences. Whether you’re a beginner or seeking to enhance advanced skills, these channels offer helpful tips, detailed guides, and practical examples to assist you in mastering Tableau. Utilizing these assets will improve your data visualization skills and give you a competitive advantage in data analysis.

Learn TableauYouTube ChannelsYouTube Channels to Learn Tableau
Yana Khare
Yana Khare 13 Sep, 2024

A 23-year-old, pursuing her Master's in English, an avid reader, and a melophile. My all-time favorite quote is by Albus Dumbledore - "Happiness can be found even in the darkest of times if one remembers to turn on the light."

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