luca2
7/21/2017 - 3:16 PM
!R_tutorials.md
R-Tutorials Training
- R Basics - R Programming Language Introduction
- R Level 1 - Data Analytics with R
- R Data Pre-Processing & Data Management - Shape your Data!
- Graphs in R - Data Visualization with R Programming Language
- Statistics in R - The R Language for Statistical Analysis
- Machine Learning and Statistical Modeling with R Examples
- Introduction to Time Series Analysis and Forecasting in R
- Text Mining, Scraping and Sentiment Analysis with R
- Data Science Career Guide/Development in Analytics
Kirill Eremenko
- R Programming A-Z™: R For Data Science With Real Exercises
- R Programming: Advanced Analytics In R For Data Science
- Machine Learning A-Z™: Hands-On Python & R In Data Science
- Data Science A-Z™: Real-Life Data Science Exercises Include
Jose Portilla
- Learn R programming
- Deep Dive into Statistical Modeling with R
- Learning Data Analysis with R
- Mastering Data Analysis with R
- Fundamentals of R Programming and Statistical Analysis
- Advanced Tools and Techniques Beyond Base R
- Web analytics with hands on projects in R
- Developing Financial Analysis Tools
- Bringing Order to Unstructured Data with R
- Discover Algorithms for Reward-Based Learning in R
- Getting Started with Machine Learning with R
- Learning Data Mining with R
- Classifying and Clustering Data with R
- Machine Learning using Advanced Algorithms and Visualization in R
- Advanced Machine Learning with R
- Deep Learning with R
The following are dreadful because of the wrong playback
- Building Interactive Graphs with ggplot2 and Shiny
- Heavy-Lifting Using R Libraries
- Getting Started with R for Data Science
- Introduction to R Programming
- Mastering R Programming
- Learning R for Data Visualization
- R Graph Essentials
- Speaking 'R' - The Language of Data Science
- R Data Analysis Solutions - Machine Learning Techniques
- R Data Analysis Solution – Analyzing Time-Series and Social Media Data, and More
- R Machine Learning solutions
- R Data Mining Projects
- Advanced Data Mining projects with R
- R for Data Science Solutions
- Understanding SQL and R
- Introduction to Data Science with R
- Using R for Big Data with Spark
- Learning Path: Jupyter Notebook for Data Science Teams
- Data Visualization in R With ggplot2
- Reproducible Research and Reports with R Markdown
- Introduction to Shiny
- Easy, Reproducible Reports with R
- Great R: Level 1
- Introduction to Data Visualization with R and ggplot2
- Expert Data Wrangling with R
- Writing Great R Code
- Learning To Program With R
- Modern Web Development with HTML5 and CSS
- Learning R
- Data Wrangling in R
- R Statistics Essential Training
- Code Clinic: R
- Creating Interactive Presentations with Shiny and R
- R: Interactive Visualizations with htmlwidgets
- Descriptive Healthcare Analytics in R
- Healthcare Analytics: Regression in R
- Social Network Analysis Using R
- Data Science Tips
- Integrating Tableau and R for Data Science
- Logistic Regression in R and Excel
- Data Reduction Techniques Using Excel and R: Business Analytics Deep Dive
- R for Excel Users
- MITx: 15.071x The Analytics Edge
- HarvardX: PH525.1x Statistics and R
- HarvardX: PH525.2x Introduction to Linear Models and Matrix Algebra
- UTAustinX: UT.7.11x Foundations of Data Analysis - Part 1
- Microsoft: DAT203.2x Principles of Machine Learning
- Microsoft: DAT209x Programming in R for Data Science
- Microsoft: DAT216x Delivering a Relational Data Warehouse
- GT Introduction to Analytics Modeling
- Introduction to Computing for Data Analysis
- Data Analytics in Business
- UTAustinX: UT.7.21x Foundations of Data Analysis - Part 2
- MITx: 15.053x Optimization Methods in Business Analytics
- MITx: 6.008.1x Computational Probability and Inference
- CaltechX: CS1156x Learning From Data (introductory Machine Learning course)
- Microsoft: DAT203.3x Applied Machine Learning
- CaltechX: BEM1105x Pricing Options with Mathematical Models
- ColumbiaX: DS102X Machine Learning for Data Science and Analytics
Generics
- Introduction to R (Data Analyst with R, Data Scientist with R, R Developer, R Programming)
- Intermediate R (Data Analyst with R, Data Scientist with R, R Developer, R Programming)
- Intermediate R - Practice (Data Analyst with R, Data Scientist with R, R Developer, R Programming)
- A Hands-on Introduction to Statistics with R
- Introduction to R for Finance (Quantitative Analyst with R)
- Intermediate R for Finance (Quantitative Analyst with R)
- Working with the RStudio IDE (Part 1)
- Working with the RStudio IDE (Part 2)
R Programming
- Writing Functions in R (Data Scientist with R, R Developer, R Programming)
- Object-Oriented Programming in R: S3 and R6 (R Developer)
- Writing Efficient R Code
Data Collection, Manipulation and Tranformation
- Importing Data in R (Part 1) (Importing & Cleaning Data with R, Data Analyst with R, Data Scientist with R, R Developer)
- Importing Data in R (Part 2) (Importing & Cleaning Data with R, Data Analyst with R, Data Scientist with R, R Developer)
- Cleaning Data in R (Importing & Cleaning Data with R, Data Analyst with R, Data Scientist with R, R Developer)
- Importing & Cleaning Data in R: Case Studies (Importing & Cleaning Data with R, Data Analyst with R, Data Scientist with R, R Developer)
- Working with Web Data in R
- Importing and Managing Financial Data in R (Quantitative Analyst with R)
- String Manipulation in R with stringr (R Developer)
- Data Manipulation in R with dplyr (Data Analyst with R, Data Manipulation with R, Data Scientist with R)
- Joining Data in R with dplyr (Data Analyst with R, Data Manipulation with R, Data Scientist with R)
- Data Analysis in R, the data.table Way (Data Manipulation with R)
- Manipulating Time Series Data in R with xts & zoo (Time Series with R, Quantitative Analyst with R)
- Manipulating Time Series Data in R: Case Studies (Time Series with R, Quantitative Analyst with R)
- Introduction to Spark in R using sparklyr
Data Visualization
- Data Visualization in R (Data Analyst with R, Data Visualization with R, Data Scientist with R)
- Data Visualization with ggplot2 (Part 1) (Data Analyst with R, Data Visualization with R, Data Scientist with R)
- Data Visualization with ggplot2 (Part 2) (Data Analyst with R, Data Visualization with R, Data Scientist with R)
- Data Visualization with ggplot2 (Part 3) (Data Analyst with R, Data Visualization with R, Data Scientist with R)
- Data Visualization in R with ggvis
- Data Visualization in R with lattice (Data Visualization with R)
- Visualizing Time Series Data in R (Time Series with R)
Probability, Statistics and Modeling
- Foundations of Probability in R
- Introduction to Data (Data Analyst with R, Data Scientist with R, (Statistics with R)
- Exploratory Data Analysis (Data Analyst with R, Data Scientist with R, Statistics with R)
- Exploratory Data Analysis in R: Case Study (Data Analyst with R, Data Manipulation with R, Data Scientist with R)
- Correlation and Regression (Data Analyst with R, Data Scientist with R, Statistics with R)
- Multiple and Logistic Regression (Statistics with R)
- Foundations of Inference (Data Scientist with R, Statistics with R)
- Statistical Modeling in R (Part 1)
- Statistical Modeling in R (Part 2)
- Beginning Bayes in R
Machine Learning
- Introduction to Machine Learning
- Machine Learning Toolbox (Data Scientist with R)
- Supervised Learning in R: Regression
- Unsupervised Learning in R (Data Scientist with R)
- Text Mining: Bag of Words (Data Scientist with R)
Data Presentation and Reporting
Time Series
- Introduction to Time Series Analysis (Time Series with R, Quantitative Analyst with R)
- Forecasting Using R (Time Series with R)
- ARIMA Modeling with R (Time Series with R, Quantitative Analyst with R)
Financial
- Introduction to Portfolio Analysis in R (Quantitative Analyst with R, Applied Finance with R)
- Intermediate Portfolio Analysis in R (Quantitative Analyst with R, Applied Finance with R)
- Credit Risk Modeling in R (Quantitative Analyst with R)
- Quantitative Risk Management in R
- Financial Trading in R (Quantitative Analyst with R, Applied Finance with R)
- Bond Valuation and Analysis in R (Quantitative Analyst with R, Applied Finance with R)
Spatial Statistics
SQL
Use Cases
Open Courses
- R for the Intimidated
- Introduzione a R
- Basic Statistics
- Inferential Statistics
- Data Analysis and Statistical Inference
- Having Fun with googleVis
- Exploring Polling Data in R
- Kaggle R Tutorial on Machine Learning
- Data Exploration With Kaggle Scripts
- How to work with Quandl in R
- Intro to Computational Finance with R