DataScience-Johns.Hopkins.University ✅

Ask the right questions, manipulate data sets, and create visualizations to communicate results - Coursera

Course 1 - The Data Scientist’s Toolbox

• Welcome
  • Introduction to basic tools
• Installing the Toolbox
  • R, Git, Github
• Conceptual Issues
  • Steps in a data analysis, Putting the science in data science
• Course Project Submission & Evaluation

Course 2 - R Programming

• Background, Getting Started, and Nuts & Bolts
• Programming with R
  • Derek Franks has written a very nice tutorial to help you get up to speed
• Loop Functions and Debugging
  • lapply, apply, tapply, split, mapply
• Simulation & Profiling
  • Simulate a random normal variable with an arbitrary mean and standard deviation

Course 3 - Getting and Cleaning Data

• Data collection & Data formats
  • Raw files (.csv,.xlsx), Databases (mySQL), APIs, Flat files (.csv,.txt), XML, JSON
• Making data tidy
• Distributing data
• Scripting for data cleaning

Course 4 - Exploratory Data Analysis

• Making exploratory graphs
• Principles of analytic graphics
• Clustering methods
• Dimension reduction techniques

Course 5 - Reproducible Research

• Concepts, Ideas, & Structure
• Markdown & knitr
• Reproducible Research Checklist & Evidence-based Data Analysis
• Case Studies & Commentaries

Course 6 - Statistical Inference

• Probability & Expected Values
• Variability, Distribution, & Asymptotics
• Intervals, Testing, & Pvalues
• Power, Bootstrapping, & Permutation Tests

Course 7 - Regression Models

• Least Squares and Linear Regression
• Linear Regression & Multivariable Regression
• Multivariable Regression, Residuals, & Diagnostics
• Logistic Regression and Poisson Regression

Course 8 - Practical Machine Learning

• Prediction, Errors, and Cross Validation
• The Caret Package
• Predicting with trees, Random Forests, & Model Based Predictions
• Regularized Regression and Combining Predictors

Course 9 - Developing Data Products

• Shiny, GoogleVis, and Plotly
• R Markdown and Leaflet
• R Packages
• Swirl and Course Project

The most up to date information on the course lecture notes will always be in the course Github repository

Taught by:

Roger D. Peng, PhD - Associate Professor, Biostatistics

Brian Caffo, PhD - Professor, Biostatistics

Jeff Leek, PhD - Associate Professor, Biostatistics

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Created By Bilal Cagiran | E-Mail | Github | LinkedIn | CodePen | Blog/Site | FreeCodeCamp