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Shield image course 58 20161007 28 1qubmtb?1477576403

Introduction to R

Shield image course 58 20161007 28 1qubmtb?1477576403

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.

  • 337,126 Students
  • 62 Exercises
  • 0 Videos
  • 4 hours 
  • 6200 XP
Chapters
  • Intro to basics
  • Vectors
  • Matrices
  • Factors
  • Data frames
Intro to python

Intro to Python for Data Science

Intro to python

Intro to Python for Data Science

Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.

  • 127,947 Students
  • 57 Exercises
  • 11 Videos
  • 4 hours 
  • 4700 XP
Chapters
  • Python Basics
  • Python Lists
  • Functions and Packages
  • Numpy
Intermediate r

Intermediate R

Intermediate r

Intermediate R

Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.

  • 105,397 Students
  • 81 Exercises
  • 14 Videos
  • 6 hours 
  • 7150 XP
Chapters
  • Conditionals and Control Flow
  • Loops
  • Functions
  • The apply family
  • Utilities
Intermediate python

Intermediate Python for Data Science

Intermediate python

Intermediate Python for Data Science

Level up your Python data science skills creating visualizations using matplotlib and manipulating data frames with Pandas.

  • 45,786 Students
  • 87 Exercises
  • 18 Videos
  • 4 hours 
  • 7400 XP
Chapters
  • Matplotlib
  • Dictionaries & Pandas
  • Logic, Control Flow and Filtering
  • Loops
  • Case Study: Hacker Statistics
Ggplot2 course1 r

Data Visualization with ggplot2 (Part 1)

Ggplot2 course1 r

Data Visualization with ggplot2 (Part 1)

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

  • 29,966 Students
  • 62 Exercises
  • 14 Videos
  • 5 hours 
  • 5250 XP
Chapters
  • Introduction
  • Data
  • Aesthetics
  • Geometries
  • qplot and wrap-up
Machine learning r

Introduction to Machine Learning

Machine learning r

Introduction to Machine Learning

Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.

  • 37,028 Students
  • 81 Exercises
  • 15 Videos
  • 6 hours 
  • 6700 XP
Chapters
  • What is Machine Learning
  • Performance measures
  • Classification
  • Regression
  • Clustering
Dplyr r

Data Manipulation in R with dplyr

Dplyr r

Data Manipulation in R with dplyr

Master fundamental techniques for data manipulation using the select, mutate, filter, arrange, and summarise functions in dplyr.

  • 41,171 Students
  • 42 Exercises
  • 11 Videos
  • 4 hours 
  • 3400 XP
Chapters
  • Introduction to dplyr and tbls
  • Select and mutate
  • Filter and arrange
  • Summarise and the pipe operator
  • Group_by and working with databases
Shield image course 1800 20161229 28 1ydkoot?1483046948

Introduction to Data

Shield image course 1800 20161229 28 1ydkoot?1483046948

Introduction to Data

Learn about datasets in R, study types, sampling strategies, and experimental design.

  • 3,873 Students
  • 45 Exercises
  • 15 Videos
  • 4 hours 
  • 3150 XP
Chapters
  • Language of data
  • Study types and cautionary tales
  • Sampling strategies and experimental design
  • Case study
Cleaning data r

Cleaning Data in R

Cleaning data r

Cleaning Data in R

Learn to explore your data so you can properly clean and prepare it data for analysis.

  • 25,070 Students
  • 59 Exercises
  • 16 Videos
  • 4 hours 
  • 4750 XP
Chapters
  • Introduction and exploring raw data
  • Tidying data
  • Preparing data for analysis
  • Putting it all together
Shield image course 2072 20170201 29 rkfd4o?1485974770

Unsupervised Learning in Python

Shield image course 2072 20170201 29 rkfd4o?1485974770

Unsupervised Learning in Python

Say you have a collection of customers with a variety of characteristics such as age, location, and financial history, and you ...

  • 797 Students
  • 52 Exercises
  • 13 Videos
  • 4 hours 
  • 4150 XP
Chapters
  • Clustering for dataset exploration
  • Visualization with hierarchical clustering and t-SNE
  • Decorrelating your data and dimension reduction
  • Discovering interpretable features
Shield image course 1607 20160824 27 1u34tew?1477576783

Importing Data in Python (Part 1)

Shield image course 1607 20160824 27 1u34tew?1477576783

Importing Data in Python (Part 1)

Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.

  • 9,023 Students
  • 54 Exercises
  • 15 Videos
  • 3 hours 
  • 4150 XP
Chapters
  • Introduction and flat files
  • Importing data from other file types
  • Working with relational databases in Python
Shield image course 1531 20170202 28 80kjql?1486063460

Python Data Science Toolbox (Part 2)

Shield image course 1531 20170202 28 80kjql?1486063460

Python Data Science Toolbox (Part 2)

In this second course in the Python Data Science Toolbox, you'll continue to build your Python Data Science skills. First you'l...

  • 779 Students
  • 46 Exercises
  • 12 Videos
  • 4 hours 
  • 3700 XP
Chapters
  • Using iterators in PythonLand
  • List comprehensions and generators
  • Bringing it all together!
Shield image course 1477 20161010 28 nr53a?1477576749

Importing Data in R (Part 1)

Shield image course 1477 20161010 28 nr53a?1477576749

Importing Data in R (Part 1)

Learn how to parse data in any format. Whether it's flat files, statistics software, databases, or web data, you'll handle it all.

  • 7,987 Students
  • 42 Exercises
  • 11 Videos
  • 3 hours 
  • 3600 XP
Chapters
  • Importing data from flat files with utils
  • readr & data.table
  • Importing Excel data
  • Reproducible Excel work with XLConnect
Shield image course 1799 20161218 28 oi05p6?1482085185

Correlation and Regression

Shield image course 1799 20161218 28 oi05p6?1482085185

Correlation and Regression

Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.

  • 1,930 Students
  • 58 Exercises
  • 18 Videos
  • 4 hours 
  • 4200 XP
Chapters
  • Correlation and regression
  • Correlation
  • Simple linear regression
  • Interpreting regression models
  • Model Fit
Shield image course 1639 20170201 28 19tawqx?1485981689

pandas Foundations

Shield image course 1639 20170201 28 19tawqx?1485981689

pandas Foundations

In this course, you'll learn how to use the industry-standard pandas library to import, build, and manipulate DataFrames.

  • 3,455 Students
  • 62 Exercises
  • 15 Videos
  • 4 hours 
  • 5100 XP
Chapters
  • Data ingestion & inspection
  • Exploratory data analysis
  • Time series in pandas
  • Case Study - Sunlight in Austin
Shield image course 944 20161216 28 9k9zkn?1481899646

Working with the RStudio IDE (Part 1)

Shield image course 944 20161216 28 9k9zkn?1481899646

Working with the RStudio IDE (Part 1)

Learn the basics of the important features of the RStudio IDE.

  • 3,486 Students
  • 69 Exercises
  • 24 Videos
  • 3 hours 
  • 3450 XP
Chapters
  • Orientation
  • Programming
  • Projects
Shield image course 1143 20161219 28 40ljf5?1482175598

Introduction to Time Series Analysis

Shield image course 1143 20161219 28 40ljf5?1482175598

Introduction to Time Series Analysis

Learn the core techniques necessary to extract meaningful insights from time series data.

  • 3,143 Students
  • 58 Exercises
  • 16 Videos
  • 4 hours 
  • 4600 XP
Chapters
  • Exploratory time series data analysis
  • Predicting the future
  • Correlation analysis and the autocorrelation function
  • Autoregression
  • A simple moving average
Shield image course 1532 20170201 26 15lz5jh?1485966086

Python Data Science Toolbox (Part 1)

Shield image course 1532 20170201 26 15lz5jh?1485966086

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

  • 6,724 Students
  • 46 Exercises
  • 12 Videos
  • 3 hours 
  • 3650 XP
Chapters
  • Writing your own functions
  • Default arguments, variable-length arguments and scope
  • Lambda functions and error-handling
Shield image course 1008 20170109 27 10tbzeg?1483974690

Writing Functions in R

Shield image course 1008 20170109 27 10tbzeg?1483974690

Writing Functions in R

Learn the fundamentals of writing functions in R so you can make your code more readable and automate repetitive tasks.

  • 19,372 Students
  • 86 Exercises
  • 19 Videos
  • 4 hours 
  • 7250 XP
Chapters
  • A quick refresher
  • When and how you should write a function
  • Functional programming
  • Advanced inputs and outputs
  • Robust functions
Data.table r

Data Analysis in R, the data.table Way

Data.table r

Data Analysis in R, the data.table Way

Master core concepts in data manipulation such as subsetting, updating, indexing and joining your data using data.table.

  • 37,655 Students
  • 37 Exercises
  • 10 Videos
  • 4 hours 
  • 2900 XP
Chapters
  • Data.table novice
  • Data.table yeoman
  • Data.table expert
Rmarkdown r

Reporting with R Markdown

Rmarkdown r

Reporting with R Markdown

Learn to create interactive analyses and automated reports with R Markdown and communicate your insights quickly and effectively.

  • 32,069 Students
  • 31 Exercises
  • 8 Videos
  • 3 hours 
  • 2550 XP
Chapters
  • Authoring R Markdown Reports
  • Embedding Code
  • Compiling Reports
  • Configuring R Markdown (optional)
Shield image course 1048 20161216 27 qmtv2h?1481899726

Machine Learning Toolbox

Shield image course 1048 20161216 27 qmtv2h?1481899726

Machine Learning Toolbox

This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

  • 5,340 Students
  • 88 Exercises
  • 24 Videos
  • 4 hours 
  • 6250 XP
Chapters
  • Regression models: fitting them and evaluating their performance
  • Classification models: fitting them and evaluating their performance
  • Tuning model parameters to improve performance
  • Preprocessing your data
  • Selecting models: a case study in churn prediction
Shield image course 1585 20170207 27 1gbme29?1486503526

Statistical Modeling in R (Part 1)

Shield image course 1585 20170207 27 1gbme29?1486503526

Statistical Modeling in R (Part 1)

This course was designed to get you up to speed with the most important and powerful methodologies in statistics.

  • 3,774 Students
  • 43 Exercises
  • 10 Videos
  • 4 hours 
  • 3800 XP
Chapters
  • What is statistical modeling?
  • Designing, training, and evaluating models
  • Assessing prediction performance
  • Exploring data with models
  • Covariates and effect size
Ggplot2 course2 r

Data Visualization with ggplot2 (Part 2)

Ggplot2 course2 r

Data Visualization with ggplot2 (Part 2)

Take your data visualization skills to the next level with coordinates, facets, themes, and general best practices in ggplot2.

  • 19,355 Students
  • 55 Exercises
  • 11 Videos
  • 5 hours 
  • 4750 XP
Chapters
  • Statistics
  • Coordinates and Facets
  • Themes
  • Best Practices
  • Case Study
Shield image course 1115 20170201 28 1jdnfx0?1485981703

Introduction to Databases in Python

Shield image course 1115 20170201 28 1jdnfx0?1485981703

Introduction to Databases in Python

In this course, you'll learn the basics of relational databases and why they're everywhere, along with how to interact with them.

  • 3,273 Students
  • 66 Exercises
  • 20 Videos
  • 4 hours 
  • 5450 XP
Chapters
  • Basics of Relational Databases
  • Applying Filtering, Ordering and Grouping to Queries
  • Advanced SQLAlchemy Queries
  • Creating and Manipulating your own Databases
  • Putting it all together
Shield image course 753 20160824 26 1dniha2?1477576440

Intermediate R - Practice

Shield image course 753 20160824 26 1dniha2?1477576440

Intermediate R - Practice

Strengthen your knowledge of the topics you learned in Intermediate R with a ton of new and fun exercises.

  • 12,637 Students
  • 52 Exercises
  • 0 Videos
  • 4 hours 
  • 4700 XP
Chapters
  • Conditionals and Control Flow
  • Loops
  • Functions
  • The apply family
  • Utilities
Shield image course 1549 20170201 28 1ae80ab?1485977179

Statistical Thinking in Python (Part 1)

Shield image course 1549 20170201 28 1ae80ab?1485977179

Statistical Thinking in Python (Part 1)

After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear,...

  • 3,752 Students
  • 61 Exercises
  • 18 Videos
  • 3 hours 
  • 4550 XP
Chapters
  • Graphical exploratory data analysis
  • Quantitative exploratory data analysis
  • Thinking probabilistically-- Discrete variables
  • Thinking probabilistically-- Continuous variables
Shield image course 1811 20161219 28 10h36rj?1482187596

ARIMA Modeling with R

Shield image course 1811 20161219 28 10h36rj?1482187596

ARIMA Modeling with R

In this course, you will become an expert in fitting ARIMA models to time series data using R. First, you will explore the nat...

  • 1,396 Students
  • 45 Exercises
  • 13 Videos
  • 4 hours 
  • 3600 XP
Chapters
  • Time Series Data and Models
  • Fitting ARMA models
  • ARIMA Models
  • Seasonal ARIMA
Shield image course 1498 20161115 27 1qgnd9v?1479253176

Data Visualization in R

Shield image course 1498 20161115 27 1qgnd9v?1479253176

Data Visualization in R

R supports four different graphics systems: base graphics, grid graphics, lattice graphics, and ggplot2. Base graphics is the d...

  • 2,002 Students
  • 60 Exercises
  • 15 Videos
  • 4 hours 
  • 5250 XP
Chapters
  • A quick introduction to base R graphics
  • Different plot types
  • Adding details to plots
  • How much is too much?
  • Advanced plot customization and beyond
Shield image course 1796 20170125 26 lpfkq5?1485370387

Exploratory Data Analysis

Shield image course 1796 20170125 26 lpfkq5?1485370387

Exploratory Data Analysis

Learn how to use graphical and numerical techniques to uncover the structure of your data and find variables that suggest inter...

  • 1,336 Students
  • 54 Exercises
  • 15 Videos
  • 4 hours 
  • 3950 XP
Chapters
  • Exploring Categorical Data
  • Exploring Numerical Data
  • Numerical Summaries
  • Case Study
Shield image course 935 20160907 28 l1e27c?1477576469

Text Mining: Bag of Words

Shield image course 935 20160907 28 l1e27c?1477576469

Text Mining: Bag of Words

Learn the bag of words technique for text mining with R.

  • 12,662 Students
  • 69 Exercises
  • 15 Videos
  • 4 hours 
  • 5700 XP
Chapters
  • Jumping into text mining with bag of words
  • Word clouds and more interesting visuals
  • Adding to your tm skills
  • Battle of the tech giants for talent
Shield image course 1761 20170201 28 1p0180v?1485981819

Introduction to Data Visualization with Python

Shield image course 1761 20170201 28 1p0180v?1485981819

Introduction to Data Visualization with Python

This course extends Intermediate Python for Data Science to provide a stronger foundation in data visualization in Python. The ...

  • 1,755 Students
  • 58 Exercises
  • 14 Videos
  • 4 hours 
  • 5000 XP
Chapters
  • Customizing plots
  • Plotting 2D arrays
  • Statistical plots with Seaborn
  • Analyzing time series and images
Shield image course 1650 20170201 29 sb7hyo?1485981702

Manipulating DataFrames with pandas

Shield image course 1650 20170201 29 sb7hyo?1485981702

Manipulating DataFrames with pandas

In this course, you'll learn how to leverage pandas' extremely powerful data manipulation engine to get the most out of your da...

  • 1,463 Students
  • 75 Exercises
  • 19 Videos
  • 4 hours 
  • 6300 XP
Chapters
  • Extracting and transforming data
  • Advanced indexing
  • Rearranging and reshaping data
  • Grouping data
  • Bringing it all together
Shield image course 1074 20161216 28 1321gip?1481899618

Joining Data in R with dplyr

Shield image course 1074 20161216 28 1321gip?1481899618

Joining Data in R with dplyr

This course will show you how to combine data sets with dplyr's two table verbs.

  • 2,989 Students
  • 84 Exercises
  • 20 Videos
  • 4 hours 
  • 6550 XP
Chapters
  • Mutating joins
  • Filtering joins and set operations
  • Assembling data
  • Advanced joining
  • Case study
Shield image course 1296 20160920 24 148x3hh?1477576656

Financial Trading in R

Shield image course 1296 20160920 24 148x3hh?1477576656

Financial Trading in R

This course covers the basics of financial trading and how to use quantstrat to build signal-based trading strategies.

  • 4,865 Students
  • 65 Exercises
  • 20 Videos
  • 5 hours 
  • 5150 XP
Chapters
  • Trading basics
  • A boilerplate for quantstrat strategies
  • Indicators
  • Signals
  • Rules
Shield image course 1025 20160629 28 fu494h?1477576498

Credit Risk Modeling in R

Shield image course 1025 20160629 28 fu494h?1477576498

Credit Risk Modeling in R

Learn to apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

  • 16,490 Students
  • 52 Exercises
  • 16 Videos
  • 4 hours 
  • 4000 XP
Chapters
  • Introduction and data preprocessing
  • Logistic regression
  • Decision trees
  • Evaluating a credit risk model
Shield image course 1606 20170202 27 bvk5uq?1486046078

Importing Data in Python (Part 2)

Shield image course 1606 20170202 27 bvk5uq?1486046078

Importing Data in Python (Part 2)

Further improve your Python importing skills and learn to work with more web and API data.

  • 2,930 Students
  • 29 Exercises
  • 7 Videos
  • 2 hours 
  • 2400 XP
Chapters
  • Importing data from the Internet
  • Interacting with APIs to import data from the web
  • Diving deep into the Twitter API
Shield image course 1127 20160920 24 9dee7r?1477576560

Manipulating Time Series Data in R with xts & zoo

Shield image course 1127 20160920 24 9dee7r?1477576560

Manipulating Time Series Data in R with xts & zoo

The xts and zoo packages make the task of managing and manipulating ordered observations fast and mistake free.

  • 4,678 Students
  • 55 Exercises
  • 15 Videos
  • 4 hours 
  • 4500 XP
Chapters
  • Introduction to eXtensible Time Series, using xts and zoo for time series
  • First Order of Business - Basic Manipulations
  • Merging and modifying time series
  • Apply and aggregate by time
  • Extra features of xts
Shield image course 985 20160906 27 1nic45s?1477576472

Introduction to Portfolio Analysis in R

Shield image course 985 20160906 27 1nic45s?1477576472

Introduction to Portfolio Analysis in R

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

  • 9,652 Students
  • 57 Exercises
  • 14 Videos
  • 5 hours 
  • 4450 XP
Chapters
  • The building blocks
  • Analyzing performance
  • Performance drivers
  • Optimizing the portfolio
Shield image course 1478 20170102 30 kekwsc?1483364842

Importing Data in R (Part 2)

Shield image course 1478 20170102 30 kekwsc?1483364842

Importing Data in R (Part 2)

Learn how to parse data in any format. Whether it's flat files, statistics software, databases, or web data, you'll handle it all.

  • 2,201 Students
  • 48 Exercises
  • 10 Videos
  • 3 hours 
  • 3950 XP
Chapters
  • Importing data from databases (Part 1)
  • Importing data from databases (Part 2)
  • Importing data from the web (Part 1)
  • Importing data from the web (Part 2)
  • Importing data from statistical software packages
Shield image course 1392 20170201 28 16r9g65?1485981800

Interactive Data Visualization with Bokeh

Shield image course 1392 20170201 28 16r9g65?1485981800

Interactive Data Visualization with Bokeh

Learn how to create versatile, data-driven graphics using Bokeh.

  • 2,859 Students
  • 75 Exercises
  • 20 Videos
  • 4 hours 
  • 6100 XP
Chapters
  • Basic plotting with Bokeh
  • Layouts, Interactions, and Annotations
  • High-level Charts
  • Building interactive apps with Bokeh
  • Putting It All Together! A Case Study
Shield image course 1760 20161229 28 61899y?1483046924

Foundations of Inference

Shield image course 1760 20161229 28 61899y?1483046924

Foundations of Inference

Learn about the practice of drawing conclusions about a larger population from a sample of data: a process known as statistical...

  • 604 Students
  • 58 Exercises
  • 17 Videos
  • 4 hours 
  • 4400 XP
Chapters
  • Introduction to ideas of inference
  • Completing a randomization test: gender discrimination
  • Hypothesis testing errors: opportunity cost
  • Confidence intervals
Shield image course 1057 20161216 28 x2hwxn?1481899653

Working with the RStudio IDE (Part 2)

Shield image course 1057 20161216 28 x2hwxn?1481899653

Working with the RStudio IDE (Part 2)

Further your knowledge of RStudio and learn how to integrate Git, LaTeX, and Shiny

  • 1,034 Students
  • 77 Exercises
  • 29 Videos
  • 3 hours 
  • 3850 XP
Chapters
  • Packages
  • Version Control
  • Reporting
Ggvis r

Data Visualization in R with ggvis

Ggvis r

Data Visualization in R with ggvis

Learn to create interactive graphs to display distributions, relationships, model fits, and more using ggvis.

  • 35,421 Students
  • 45 Exercises
  • 11 Videos
  • 4 hours 
  • 3700 XP
Chapters
  • The Grammar of Graphics
  • Lines and Syntax
  • Transformations
  • Interactivity and Layers
  • Customizing Axes, Legends, and Scales
Shield image course 1816 20161216 28 1bg9574?1481899707

Working with Geospatial Data in R

Shield image course 1816 20161216 28 1bg9574?1481899707

Working with Geospatial Data in R

Where should you buy a house to get the most value for your money? Your first step might be to make a map, but spatial data can...

  • 2,156 Students
  • 58 Exercises
  • 15 Videos
  • 4 hours 
  • 5000 XP
Chapters
  • Basic mapping with ggplot2 and ggmap
  • Point and polygon data
  • Raster data and color
  • Data import and projections
Shield image course 2000 20161215 27 lmi6de?1481827667

Object-Oriented Programming in R: S3 and R6

Shield image course 2000 20161215 27 lmi6de?1481827667

Object-Oriented Programming in R: S3 and R6

Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.

  • 1,755 Students
  • 56 Exercises
  • 18 Videos
  • 4 hours 
  • 4300 XP
Chapters
  • Introduction to Object-Oriented Programming
  • Using S3
  • Using R6
  • R6 Inheritance
  • Advanced R6 Usage
Shield image course 1414 20161216 27 j45jf6?1481899464

Exploratory Data Analysis in R: Case Study

Shield image course 1414 20161216 27 j45jf6?1481899464

Exploratory Data Analysis in R: Case Study

Once you've started learning tools for data manipulation and visualization like dplyr and ggplot2, this course gives you a chan...

  • 1,451 Students
  • 58 Exercises
  • 15 Videos
  • 4 hours 
  • 4800 XP
Chapters
  • Data cleaning and summarizing with dplyr
  • Data visualization with ggplot2
  • Tidy modeling with broom
  • Joining and tidying
Shield image course 1550 20170201 28 2kcce2?1485976867

Statistical Thinking in Python (Part 2)

Shield image course 1550 20170201 28 2kcce2?1485976867

Statistical Thinking in Python (Part 2)

After completing Statistical Thinking in Python (Part 1), you have the probabilistic mindset and foundational hacker stats skil...

  • 1,121 Students
  • 67 Exercises
  • 15 Videos
  • 4 hours 
  • 5450 XP
Chapters
  • Parameter estimation by optimization
  • Bootstrap confidence intervals
  • Introduction to hypothesis testing
  • Hypothesis test examples
  • Putting it all together: a case study
Sas spss stat r

R for SAS, SPSS and STATA Users

Sas spss stat r

R for SAS, SPSS and STATA Users

Learn to translate your knowledge of SAS, SPSS, or Stata into R using the same statistics techniques you're familiar with.

  • 28,766 Students
  • 196 Exercises
  • 52 Videos
  • 16 hours 
  • 14450 XP
Chapters
  • Introduction
  • Installing & Maintaining R
  • Help & Documentation
  • RStudio Basics
  • Programming Language Basics
Ggplot2 course3 r

Data Visualization with ggplot2 (Part 3)

Ggplot2 course3 r

Data Visualization with ggplot2 (Part 3)

This course covers some advanced topics including strategies for handling large data sets and specialty plots.

  • 1,057 Students
  • 87 Exercises
  • 19 Videos
  • 6 hours 
  • 7650 XP
Chapters
  • Statistical plots
  • Plots for specific data types (Part 1)
  • Plots for specific data types (Part 2)
  • ggplot2 Internals
  • Data Munging and Visualization Case Study
Shield image course 1294 20161216 27 masufy?1481899667

Importing & Cleaning Data in R: Case Studies

Shield image course 1294 20161216 27 masufy?1481899667

Importing & Cleaning Data in R: Case Studies

In this series of four case studies, you'll revisit key concepts from our courses on importing and cleaning data in R.

  • 3,020 Students
  • 35 Exercises
  • 0 Videos
  • 4 hours 
  • 3500 XP
Chapters
  • Ticket Sales Data
  • MBTA Ridership Data
  • World Food Facts
  • School Attendance Data
Shield image course 1586 20161216 28 1u9dnc3?1481899725

Statistical Modeling in R (Part 2)

Shield image course 1586 20161216 28 1u9dnc3?1481899725

Statistical Modeling in R (Part 2)

In this follow-up course, you will expand your stat modeling skills from part 1 and dive into more advanced concepts.

  • 903 Students
  • 41 Exercises
  • 10 Videos
  • 4 hours 
  • 3600 XP
Chapters
  • Effect size and interaction
  • Total and partial change
  • Sampling variability and mathematical transforms
  • Variables working together
Shield image course 1698 20170104 28 1er4bay?1483554073

Bond Valuation and Analysis in R

Shield image course 1698 20170104 28 1er4bay?1483554073

Bond Valuation and Analysis in R

Why value bonds? Bonds are securities issued by governments or corporations that pay interest over a fixed schedule and are the...

  • 716 Students
  • 43 Exercises
  • 13 Videos
  • 4 hours 
  • 3250 XP
Chapters
  • Introduction and Plain Vanilla Bond Valuation
  • Yield to Maturity
  • Duration and Convexity
  • Comprehensive Example
Shield image course 1964 20170131 29 1afh932?1485861925

Manipulating Time Series Data in R: Case Studies

Shield image course 1964 20170131 29 1afh932?1485861925

Manipulating Time Series Data in R: Case Studies

This follow-up course on manipulating time series data in R does not cover new data manipulation concepts. Instead, you will st...

  • 901 Students
  • 50 Exercises
  • 12 Videos
  • 4 hours 
  • 4000 XP
Chapters
  • Flight Data
  • Weather Data
  • Economic Data
  • Sports Data
Shield image course 943 20161216 28 fyql29?1481877349

Exploring Pitch Data with R

Shield image course 943 20161216 28 fyql29?1481877349

Exploring Pitch Data with R

Use a rich baseball dataset from the MLB's Statcast system to practice your data exploration skills.

  • 5,024 Students
  • 69 Exercises
  • 14 Videos
  • 4 hours 
  • 6200 XP
Chapters
  • Exploring pitch velocities
  • Exploring pitch types
  • Exploring pitch locations
  • Exploring batted ball outcomes
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