Analytics for Data Science
10 courses, 4 weeks each
Analytics for Data Science Online Certificate
Program in Analytics and Statistical Studies (PASS)
Are you a ...
- Business or Data Analyst needing to add data mining to your skill set to interface with vendors or programmers
- Manager responsible for analytics teams or vendors
- Data Scientist, Software Engineer, or IT professional seeking a deeper dive into analytics (but see our "Programming for Data Science" certificate if you need to learn the programming tools for this)
Learn how to:
- Choose and fit time-series forecasting models
- Construct predictive models using a variety of statistical and machine learning algorithms, and assess their performance
- Identify customer segments and generate purchase recommendations
- Use interactive graphical techniques to visualize and analyze data
- Solve constrained optimization problems using linear programming and other techniques
- Describe, visualize and analyze social network data
- Conduct Monte Carlo simulation to account for risk
- Specify and solve queuing problems
- Analyze location and other spatial data (elective)
- Apply the key concepts in natural language processing (elective)
Take courses and interact with the authors of these texts
- Mr. Anthony Babinec
- Dr. Jennifer Golbeck
- Dr. Catherine Plaisant
- Dr. Cliff Ragsdale
- Dr. Galit Shmueli
Compare Statistics.com certificates to university graduate programs, MOOC's, bootcamps...
The Analytics for Data Science Certificate Program consists of ten, 4-week online courses at Statistics.com. There are 8 required courses and 2 electives. The workload for the entire program is the equivalent of 28 credits in the U.S. academic system which are transferable via the American Council on Education.
Planning my Program
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, 2020show more dates >> Learn more and register >>
Interactive Data Visualization
This course covers the principles of the visual display of data, both for presentation and analysis. Tuition: $499 (5.0 CEUs) Next three dates:February 08, 2019 to March 08, 2019June 28, 2019 to July 26, 2019October 25, 2019 to November 22, 2019February 07, 2020 to March 06, 2020June 26, 2020 to July 24, 2020October 23, 2020 to November 20, 2020February 05, 2021 to March 05, 2021show more dates >> Learn more and register >>
Introduction to Network Analysis
This course will teach a mix of quantitative and qualitative methods for describing, measuring and analyzing social networks. Tuition: $469 (5.0 CEUs) Next three dates:February 22, 2019 to March 22, 2019August 09, 2019 to September 06, 2019February 21, 2020 to March 20, 2020show more dates >> Learn more and register >>
Optimization - Linear Programming
The course introduces the use of mathematical models for managerial decision making and covers how to formulate linear programming models for decision problems where multiple decisions need to be made in the best possible way while simultaneously satisfying a number of logical conditions (or constraints). You will learn how to use spreadsheet software to implement and solve these linear programming problems. Tuition: $499 (5.0 CEUs) Next three dates:January 04, 2019 to February 01, 2019August 16, 2019 to September 13, 2019January 03, 2020 to January 31, 2020August 14, 2020 to September 11, 2020show more dates >> Learn more and register >>
Predictive Analytics 1 - Machine Learning Tools
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:December 14, 2018 to January 11, 2019January 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, 2020September 25, 2020 to October 23, 2020January 15, 2021 to February 12, 2021show more dates >> Learn more and register >>
Predictive Analytics 2 - Neural Nets and Regression
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, 2020show more dates >> Learn more and register >>
Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules
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, 2020show more dates >> Learn more and register >>
Risk Simulation and Queuing
This course covers modeling technique making decisions in the presence of risk or uncertainty. Specific topics include risk analysis using Monte Carlo simulation for risk simulation, queuing theory for problems involving waiting lines, and decision trees for analyzing problems with multiple discrete decision alternatives. Tuition: $499 (5.0 CEUs) Next three dates:May 03, 2019 to May 31, 2019November 15, 2019 to December 13, 2019May 01, 2020 to May 29, 2020November 13, 2020 to December 11, 2020show more dates >> Learn more and register >>
In this online course, “Cluster Analysis,” you will learn how to use various cluster analysis methods to identify possible clusters in multivariate data. Methods discussed include hierarchical clustering, k-means clustering, two-step clustering, and normal mixture models for continuous variables. Tuition: $499 (5.0 CEUs) Next three dates:May 31, 2019 to June 28, 2019June 05, 2020 to July 03, 2020show more dates >> Learn more and register >>
Discrete Choice Modeling and Conjoint Analysis
After taking this course, participants will be able to design appropriate conjoint and choice studies, using surveys, panels, and designed experiments. They will also be able to analyze and interpret the resulting data. Tuition: $499 (5.0 CEUs) Next three dates:August 30, 2019 to September 27, 2019August 28, 2020 to September 25, 2020show more dates >> Learn more and register >>
Financial Risk Modeling
This course teaches participants how to model financial events that have uncertainties associated with them. Tuition: $499 (5.0 CEUs) Next three dates:June 14, 2019 to July 12, 2019June 12, 2020 to July 10, 2020show more dates >> Learn more and register >>
Integer & Nonlinear Programming and Network Flow
This course covers a number of advanced topics in optimization. You will learn: 1) how to formulate and solve network flow problems, 2) how to model and solve optimization problems where some or all of the decision variables must be integers, 3) how to deal with multiple objectives in optimization problems, and 4) techniques for handling optimization problems where the objective function or constraints are not linear functions of the decision variables. Tuition: $499 (5.0 CEUs) Next three dates:September 20, 2019 to October 18, 2019September 18, 2020 to October 16, 2020show more dates >> Learn more and register >>
Logistic regression extends ordinary least squares (OLS) methods to model data with binary (yes/no, success/failure) outcomes. Rather than directly estimating the value of the outcome, logistic regression allows you to estimate the probability of a success or failure. Tuition: $509 (5.0 CEUs) Next three dates:March 08, 2019 to April 05, 2019July 19, 2019 to August 16, 2019March 06, 2020 to April 03, 2020July 17, 2020 to August 14, 2020show more dates >> Learn more and register >>
Machine Learning with Weka
Tuition: $469 (5.0 CEUs) Next three dates:February 08, 2019 to April 05, 2019February 07, 2020 to March 06, 2020show more dates >> Learn more and register >>
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, 2020show more dates >> Learn more and register >>
Natural Language Processing
This course is designed to give you an introduction to the algorithms, techniques and software used in natural language processing (NLP). Tuition: $469 (5.0 CEUs) Next three dates:March 01, 2019 to March 29, 2019July 12, 2019 to August 09, 2019February 28, 2020 to March 27, 2020show more dates >> Learn more and register >>
Persuasion Analytics and Targeting
This course will teach you how to apply predictive modeling methods to identify persuadable individuals, and to target voters in political campaigns. 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, 2020August 21, 2020 to September 18, 2020show more dates >> Learn more and register >>
Spatial Statistics for GIS - Using R
Spatial statistical analysis uses methods adapted from conventional statistics to address problems in which spatial location is the most important explanatory variable. This course will explain and give examples of the analysis that can be conducted in a geographic information system such as ArcGIS or Mapinfo. Tuition: $499 (5.0 CEUs) Next three dates:May 31, 2019 to June 28, 2019October 25, 2019 to November 22, 2019June 05, 2020 to July 03, 2020October 23, 2020 to November 20, 2020show more dates >> Learn more and register >>
The course describes the various methods used for modeling and evaluating survival data, or time-to event data. Tuition: $499 (5.0 CEUs) Next three dates:March 01, 2019 to March 29, 2019September 13, 2019 to October 11, 2019March 06, 2020 to April 03, 2020September 11, 2020 to October 09, 2020show 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: $5,782
We encourage you to check out our job market in data analytics page, conduct some job searches, find jobs that interest you, and see what skills are needed. Statistics.com can help you acquire most of the analytics skills you need.
Is there an application deadline?
Applications are accepted year round on a rolling basis and courses begin every month.The timeline tool in the "Program" tab shows you the recommended sequence of courses so you can choose your starting date.
Are there admission requirements?
We'd like you to have a Bachelor's degree from an accredited college or university.
Also, you should have recently had introductory statistics, equivalent to Statistics.com's Statistics 1 and Statistics 2. If you haven't, or if you'd like to go over that ground again, no worries. We'll put you in Statistics 1 and 2 at no charge once we accept your application! Statistics 1 starts at the beginning of each month.
What are the fees?
The enrollment fee is $495, which includes free enrollment in Statistics.com's Statistics 1 and Statistics 2 courses if needed. Once you are enrolled, you register and pay for each course as you go at a discounted rate. The required text that you need to purchase are listed on this Amazon Wish List.
Is there any particular way I should schedule my courses?
Scheduling is flexible with courses offered throughout the year. The format does not require you to be online at any specific time. Most certificate students take one course at a time and we encourage you to plan your program with the courses that fit into your schedule.
Can I get credit for courses I have already taken at Statistics.com?
Ideally, you will have one course from us already to make sure that our format works for you. We will transfer up to three courses to your program, provided you got adequate marks.
If I have already mastered a topic from my work or prior academic experience, do I need to repeat it?
We do not want to waste your time. Just share with us how you covered the topic and we'll swap out that course for something else.
The courses in the certificate don't exactly match what I need. Can I craft a custom program?
Tell us what you have in mind. We can work together to create a program that makes sense. A customization fee is charged.
How long do I have to complete the certificate?
If you take one course at a time, most programs can be completed in 12-15 months. We know that sometimes life takes unexpected turns, so you have 3 years to complete the certificate.
Are the certificate programs accredited?
- The American Council on Education (ACE) has recommended academic credit for all the required courses in the Analytics for Data Science Certificate Program, so they can be easily transfered to another educational institution that accepts ACE CREDIT.
- The Institute for Operations Research and the Management Sciences (INFORMS) chose Statistics.com as a Recognized Analytics Education Provider that supports the Certified Analytics Professional (CAP®) program.
- Each course has C.E.U.'s granted, based on the length of the course. (Typically 5.0 CEUs for 4 week courses.)
- The Institute for Statistics Education itself is not an accredited academic institution, but is
certified to operate by the State Council of Higher Education for Virginia (SCHEV).
Still have questions?
Email the registrar (ourcourses [at] statistics.com) with your questions or call (703)522-5410. We're EST.
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