Programming for Data Science: R  (for experienced programmers)

Online Certificate Program

10 courses, 4 weeks each
$5,000

Programming for Data Science Certificate Program: R (for experienced programmers)

This program is for you if:

  • You are familiar with R and want to learn how to harness R to build predictive models, machine learning algorithms, and statistical methods in your work

Note:  If you are a newcomer to R, check out the Programming for Data Science Certificate Program: R (for novices), which includes the introductory R programming courses you need.


Program Contents

The Programming in Data Science Certificate Program R (for experienced programmers) consists of ten 4-week courses offered completely online at Statistics.com.  There are required topics and a selection of electives.  The workload for the entire program is the equivalent of about 30 credits in the U.S. academic system.  At the completion of the program you will have learned how to:

  • Use R for data analytics and data mining
  • Query databases with SQL
  • Extract, clean, prepare, and mine real data in a practicum, culminating the prototyping of a predictive model

Compare Statistics.com certificates to other graduate programs in analytics and data science

 

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In this certificate program, there are '8' required courses + you choose '2' electives

 
 

FULL PROGRAM LIST
 
Required Courses (8)

  • Customer Analytics in R
    Tuition: $469.00 (5.0 CEUs) Next three dates:
    May 24, 2019 to June 21, 2019November 22, 2019 to December 20, 2019May 22, 2020 to June 19, 2020November 20, 2020 to December 18, 2020May 21, 2021 to June 18, 2021
    show more dates >> Learn more and register >>
  • Forecasting Analytics
    This course will teach you how to choose an appropriate time series model, fit the model, to conduct diagnostics, and use the model for forecasting. Tuition: $499 (5.0 CEUs) Next three dates:
    March 22, 2019 to April 19, 2019July 26, 2019 to August 23, 2019November 22, 2019 to December 20, 2019March 20, 2020 to April 17, 2020July 24, 2020 to August 21, 2020November 20, 2020 to December 18, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics 1 - Machine Learning Tools - with R
    This course covers the two core paradigms that account for most business applications of predictive modeling: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel. Tuition: $469 (5.0 CEUs) Next three dates:
    January 18, 2019 to February 15, 2019May 10, 2019 to June 07, 2019September 27, 2019 to October 25, 2019January 17, 2020 to February 14, 2020May 22, 2020 to June 19, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics 2 - Neural Nets and Regression - with R
    This course covers the two core paradigms that account for most business applications of predictive modeling: classification and prediction. The course includes hands-on work with XLMiner, a data-mining add-in for Excel. Tuition: $469 (5.0 CEUs) Next three dates:
    February 22, 2019 to March 22, 2019July 12, 2019 to August 09, 2019November 15, 2019 to December 13, 2019February 21, 2020 to March 20, 2020June 26, 2020 to July 24, 2020October 23, 2020 to November 20, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules - with R
    This course covers key unsupervised learning techniques - association rules, principal components analysis, and clustering. The course will include an integration of supervised and unsupervised learning techniques. Tuition: $469.00 (5.0 CEUs) Next three dates:
    January 04, 2019 to February 01, 2019April 12, 2019 to May 10, 2019September 06, 2019 to October 04, 2019January 03, 2020 to January 31, 2020April 10, 2020 to May 08, 2020July 31, 2020 to August 28, 2020
    show more dates >> Learn more and register >>
  • Predictive Analytics Project Capstone
    A predictive modeling practicum Tuition: $499 (5.0 CEUs) Next three dates:
    March 01, 2019 to March 29, 2019August 23, 2019 to September 20, 2019February 28, 2020 to March 27, 2020
    show more dates >> Learn more and register >>
  • R Programming - Intermediate
    This course is intended for experienced data analysts looking to unlock the power of R.  It provides a systematic overview of R as a programming language, emphasizing good programming practices and the development of clear, concise code.  After completing the course, students should be able to manipulate data programmatically using R functions of their own design. Tuition: $489 (5.0 CEUs) Next three dates:
    March 29, 2019 to April 26, 2019September 20, 2019 to October 18, 2019March 27, 2020 to April 24, 2020September 18, 2020 to October 16, 2020March 26, 2021 to April 23, 2021
    show more dates >> Learn more and register >>
  • SQL - Introduction to Database Queries
    The purpose of this course is to teach you how to extract data from a relational database using SQL, and merge it into a single file in R, so that you can perform statistical operations. Tuition: $469 (5.0 CEUs) Next three dates:
    March 15, 2019 to April 12, 2019July 12, 2019 to August 09, 2019November 15, 2019 to December 13, 2019March 13, 2020 to April 10, 2020July 31, 2020 to August 28, 2020March 12, 2021 to April 09, 2021July 30, 2021 to August 27, 2021
    show more dates >> Learn more and register >>

Elective Courses (2 required)

  • Matrix Algebra Review
    This course will provide the basics of vector and matrix algebra and operations necessary to understand multivariate statistical methods, including the notions of the matrix inverse, generalized inverse and eigenvalues and eigenvectors. After successfully completing this course, you will be able to use and understand vector and matrix operations and equations, find and use a matrix inverse, and use and understand the eigenset of a symmetric matrix. Tuition: $469 (5.0 CEUs) Next three dates:
    March 29, 2019 to April 26, 2019August 16, 2019 to September 13, 2019March 27, 2020 to April 24, 2020August 14, 2020 to September 11, 2020
    show more dates >> Learn more and register >>
  • Multivariate Statistics
    This course covers key multivariate procedures such as multivariate analysis of variance (MANOVA), principal components, factor analysis and classification. Tuition: $499 (5.0 CEUs) Next three dates:
    February 01, 2019 to March 01, 2019July 05, 2019 to August 02, 2019January 31, 2020 to February 28, 2020
    show more dates >> Learn more and register >>
  • R Programming - Advanced
    This course covers key concepts for writing advanced R code, emphasizing the design of functional and efficient code.  It will set students down the road to mastering the intricacies of R.  After completing the course, students should be able to read, understand, modify, and create complex functions to perform a variety of tasks. Tuition: $489 (5.0 CEUs) Next three dates:
    April 26, 2019 to April 26, 2019January 03, 2020 to January 31, 2020June 19, 2020 to July 17, 2020January 01, 2021 to January 29, 2021
    show more dates >> Learn more and register >>
  • Regression Analysis
    In this course you will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether your data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models. Tuition: $499 (5.0 CEUs) Next three dates:
    January 18, 2019 to February 15, 2019May 10, 2019 to June 07, 2019October 04, 2019 to November 01, 2019January 17, 2020 to February 14, 2020May 08, 2020 to June 05, 2020October 02, 2020 to October 30, 2020
    show more dates >> Learn more and register >>
  • Visualization in R with ggplot2
    ggplot, created by Hadley Wickham, is an implementation of the grammar of graphics in R.  It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, while maintaining the ability to build up a plot step by step from multiple data sources. It also implements a more sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. ggplot won the 2006 John Chambers Award for Statistical Computing. Tuition: $469 (5.0 CEUs) Next three dates:
    January 11, 2019 to February 08, 2019July 19, 2019 to August 16, 2019January 10, 2020 to February 07, 2020July 17, 2020 to August 14, 2020
    show more dates >> Learn more and register >>

Tuition and Fees:  $5000  

The above estimate includes the program registration fee, and individual course fees.  It reflects considerable savings that are available if you pay the program cost upon enrollment.  You also have the option to pay on a course-by-course basis:

  • Pay for your program upon enrollment:  $5000
  • Pay as you go: $5,632

 

Detailed Fees Description

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We’re trying to make it easier for patients to get their prosthetic arms to do exactly what they want them to do. I’ve applied what I’ve learned through my statistics.com courses, such as Baysian statistics, computing techniques, biostatistics, clinical trials, analysis and sensitivity software, bioavailability, probability distributions, data mining, and designing experiments to map brain impulses to muscle movement, which ultimately will help make prosthetics work on thought impulses.

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