Introduction to R – Data Handling

Here you will get a basic introduction to R and its use in organizing and exploring data. The emphasis is on understanding and working with fundamental R data structures and we will introduce some basic R programming techniques. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, and summarize data using R; you will also have the proper foundation to build your programming skills in R and take advantage of the full power of R. Join Dr. Paul Murrell’s online course Introduction to R – Data Handling at Statistis.com. For more details please visit at http://www.statistics.com/R.

Who Should Take This Course:

Anyone who wants to wants to learn the fundamentals of data handling and begin their study of programming in R.

Course Program:

Course outline: The course is structured as follows

SESSION 1: Getting Started with R

• The R command line
• Function calls, symbols, and assignment
• Packages
• Getting help on R

SESSION 2: Data Structures and Subsetting

• Data Types and data structures
• Subsetting data
• Type coercion

SESSION 3: Import/Export and Data Manipulation

• Text files, XML, Spreadsheets, and binary files
• Large data sets
• Tabulating and aggregating

SESSION 4: Advanced Data Manipulation

• Merging, Splitting and Reshaping
• Text Processing
• Data Formatting

The instructor, Dr. Paul Murrell, is a Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. Paul has been a member of the core development team for R since 1999, with a focus on the graphics system in R. He has served as Chair of the Section for Statistical Graphics of the American Statistical Association.  He has recently served as Editor-in-Chief of "R News", the newsletter of the R project, and is an Associate Editor for "Computational Statistics" and "The Journal of Statistical Software".  

This course takes place over the internet at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. The course typically requires 15 hours per week. Course participants will be given access to a private discussion board so that they will be able to ask questions and exchange comments with instructor, Dr. Paul Murrell. The class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune.

For India Registration and pricing, please visit us at www.india.statistics.com.

Email: info@c-elt.com

Call: 020 66009116

Websites:

www.india.statistics.com

www.c-elt.com

Graphics in R

Do you like to learn how to produce statistical plots of data using the R language and environment for statistical computing and graphics?

We will cover the creation of standard plots such as scatterplots, bar plots, histograms, and boxplots and we will spend some time on the underlying model used to produce plots in R so that you can extensively customize these plots. We will also look at producing Trellis plots in R and how to customize them.

Finally, we will introduce the grid graphics system and look at producing unique plots from the ground up using basic components.

Learn all this and more with Dr. Paul Murrell’s online course Graphics in R at Statistics.com. For more details please visit at http://www.statistics.com/graphicsR/.  

Who Should Take This Course:

Anyone who needs to produce displays of data, whether for exploratory or confirmatory analysis. R graphics is particularly suited to producing publication-quality plots, so this course is particularly useful for anyone who needs to produce articles or reports or even web sites containing plots.

Course Program:

Course outline: The course is structured as follows

SESSION 1: Basic Plots

• An overview of R Graphics
• Functions for producing standard plots
• Controlling colour, fonts, etc

SESSION 2: Customising Plots

• Adding extra data or labels to a plot
• Mathematical formulas on plots
• Plotting multiple plots on a page

SESSION 3: The Lattice Package (Trellis plots)

• Lattice formulas
• Multipanel displays
• Panel functions
• Customising lattice plots

SESSION 4: Grid Graphics (drawing pictures)

• Graphical primitives and units
• Viewports and layouts
• Customising lattice plots

The instructor, Dr. Paul Murrell, is noted members of the R development community. Dr. Paul Murrell is Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. Dr. Murrell has been a member of the core development team for R since 1999, with a focus on the graphics system in R. He is a fellow of the American Statistical Association, and is an Associate Editor for Computational Statistics and The Journal of Statistical Software.

Participants can ask questions and exchange comments with Dr. Paul Murrell via a private discussion board throughout the period. The course takes place online at statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week. Participate at your own convenience; there are no set times when you are required to be online.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune.

For India Registration and pricing, please visit us at www.india.statistics.com.

Email: info@c-elt.com

Call: 020 66009116

Websites:

www.india.statistics.com

www.c-elt.com

Interactive Data Visualization

A picture is worth a thousand words; less if it's a PowerPoint show, more if it's a good interactive data display.  Dr. Galit Shmueli covers the statistically-appropriate techniques and principles you can use to explore and investigate your data in "Interactive Data Visualization," statistics.com. For more details please visit at http://www.statistics.com/Visualization/.

Aim of the course:

"Interactive Data Visualization" is about the interactive exploration of data using state-of-the-art data visualization software. Participants will learn to explore a range of different data types and structures. They will learn about various interactive techniques for manipulating and examining the data and producing effective visualizations.

The course is very hands-on in terms of the learning process. Participants will be guided through an exploration of quantitative business data to discern meaningful patterns, trends, relationships, and exceptions that reveal business performance, potential problems and opportunities.

Who Should Take This Course:

Statistical analysts and data miners who need to explore and graph multivariate data, either to form impressions of the data or as a preliminary step to performing statistical tests or building models.

Course Program:

Course outline: The course is structured as follows

SESSION 1

• Information visualization characterization and history
• Elements of visual perception
• Software introduction and data preparation (merging data, getting started, export)

SESSION 2

• Interaction techniques
• Distribution analysis
• Hands-on visual exploration of business data

SESSION 3

• Time Series
• Multivariate views (scatterplots, parallel coordinate plots, trellising)
• Treemaps for hierarchical data

SESSION 4

• Specialized visualizations
• Video demonstrations of novel techniques
• From visualization to visual analytics

The instructor, Dr. Galit Shmueli, Professor of Data Analytics at the Indian School of Business (SRITNE) in Hyderabad, is a co-author of "Data Mining for Business Intelligence," "Modeling Online Auctions," and "Statistical Methods in e-Commerce Research."

You will be able to ask questions and exchange comments with the Dr. Galit Shmueli via a private discussion board throughout the course.   The courses take place online at statistics.com in a series of 4 weekly lessons and assignments, and require about 15 hours/week.  Participate at your own convenience; there are no set times when you must be online. You have the flexibility to work a bit every day, if that is your preference, or concentrate your work in just a couple of days.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune (www.c-elt.com).

For India Registration and pricing, please visit us at www.india.statistics.com.

If you have any query please feel free to call me or write to me. 

For More details contact at

Email: info@c-elt.com

Call: 020 66009116

Websites:

www.india.statistics.com

www.c-elt.com

Quantitative Risk Analysis

Risk is the handmaiden of economic activity.  Protection from risk was first offered as a separate product in Genoa in 1347, and is now a large industry in its own right. Attaching a value to risk is the province of risk analysis and risk modeling, the subject of Dr. Huybert Groenendaal's and Mr. Greg Nolder's online course "Introduction to Quantitative Risk Analysis," at Statistics.com. For more details please visit at http://www.statistics.com/risk/.

In this course you learn how to conduct accurate and effective risk analyses, including framing a risk analysis problem, best practices of risk modeling, selecting the appropriate probability distribution, using data and expert opinion, and presenting risk analysis results. In addition, the course will cover an introduction to probability and statistics theory and various stochastic processes, which are critically important to a solid understanding of quantitative risk analysis.

The course will also familiarize participants with risk analysis modeling environments (in this case @RISK, Crystal Ball and/or ModelRisk with Excel), but the lessons and techniques apply equally well to other modeling environments). The course will also cover common mistakes made when doing quantitative risk analysis and how to avoid them.

Who Should Take This Course:

Anyone in business, government and science with an interest in quantitative risk analysis such as professionals needing to perform quantitative risk analysis in areas indcluding, but not limited to, finance, business development, economics, operations, engineering, six sigma, project risk analysis, marketing, epidemiology and microbiology.

Course Program:

Course outline: The course is structured as follows

SESSION 1: Introduction to Risk Analysis

• Core ideas of risk analysis
• Going from data to knowledge to a decision-making tool
• Introduction to statistical descriptors
• Mean, mode, standard deviation, skewness, kurtosis, percentiles
• Probability concepts

SESSION 2: Probability Theory

• Graphical representations of risk events: Venn diagrams, fault trees and event trees
• Introduction to risk modeling
• Monte Carlo simulation, ModelRisk, @RISK, Crystal Ball and Excel
• Brief tutorial on ModelRisk, @RISK, and Crystal Ball
• Calculation vs. simulation - the pros and cons of Monte Carlo

SESSION 3: Building Risk Analysis Models

• Most commonly used probability distributions
• Good practices in risk modeling
• Common mistakes and how to prevent them

SESSION 4: Presenting Results

• Typical risk analysis results, their presentation and interpretation
• Example quantitative risk analyses, including:
• Project costs risk analysis
• Engineering
• Marketing
• Operations
• Financial risk analysis
• Health and Epidemiology

Dr. Huybert Groenendaal, Managing Partner at EpiX Analytics, helps clients in industry and government with financial investment evaluations, project risk analysis, forecasting, operations, transportation logistics, epidemiology and more.  He also organizes and teaches "Quantitative Risk Analysis", "Project Risk Analysis", and "Corporate Risk Analysis" courses and workshops worldwide and has taught on risk analysis in the executive MBA program of the University of Texas at Dallas.

Mr. Greg Nolder, is an experienced risk analysis consultant having worked with numerous clients from diverse industries such as computer hardware, pharmaceuticals, banking, finance, construction, mining, oil & gas, chemicals, consumer packaged goods, transportation and engineering.  He has particular interest in systems involving stochastic optimization, general QRA and applying analytics to amateur and professional sports. Participants can ask questions and exchange comments with Dr. Groenendaal and Mr. Nolder via a private discussion board throughout the period.

Participants can ask questions and exchange comments with Dr. Phadke via a private discussion board throughout the period. The course takes place online at statistics.com in a series of 4 weekly lessons and assignments, and requires about 15 hours/week. Participate at your own convenience; there are no set times when you are required to be online.

For Indian participants statistics.com accepts registration for its courses at special prices in Indian Rupees through its partner, the Center for eLearning and Training (C-eLT), Pune.

For India Registration and pricing, please visit us at www.india.statistics.com.

Email: info@c-elt.com

Call: 020 66009116

Websites:

www.india.statistics.com

www.c-elt.com