Analytics for Data Science
Analytics for Data Science Online Certificate
This program is for you if:
- You are a business or data analyst needing to add data mining to your skill set to interface with vendors or programmers
- You are a manager reponsible for analytics teams or vendors
- You are a 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)
Job seekers: 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.
You will 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)
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 25, 2016 to April 22, 2016July 29, 2016 to August 26, 2016November 25, 2016 to December 23, 2016March 24, 2017 to April 21, 2017July 28, 2017 to August 25, 2017November 24, 2017 to December 22, 2017March 23, 2018 to April 20, 2018July 27, 2018 to August 24, 2018November 23, 2018 to December 21, 2018show 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 12, 2016 to March 11, 2016June 10, 2016 to July 08, 2016October 28, 2016 to November 25, 2016February 10, 2017 to March 10, 2017June 09, 2017 to July 07, 2017October 27, 2017 to November 24, 2017February 09, 2018 to March 09, 2018June 08, 2018 to July 06, 2018October 26, 2018 to November 30, 2018show more dates >> Learn more and register >>
Introduction to Social Network Analysis (SNA)
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 26, 2016 to March 25, 2016August 12, 2016 to September 09, 2016February 24, 2017 to March 24, 2017August 11, 2017 to September 08, 2017February 23, 2018 to March 23, 2018August 10, 2018 to September 07, 2018show 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:August 19, 2016 to September 16, 2016January 06, 2017 to February 03, 2017August 18, 2017 to September 15, 2017January 05, 2018 to February 02, 2018August 17, 2018 to September 14, 2018show 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:May 27, 2016 to June 24, 2016September 23, 2016 to October 21, 2016January 20, 2017 to February 17, 2017May 26, 2017 to June 23, 2017September 29, 2017 to October 27, 2017January 19, 2018 to February 16, 2018May 25, 2018 to June 22, 2018September 28, 2018 to October 26, 2018show 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 26, 2016 to March 25, 2016July 01, 2016 to July 29, 2016October 28, 2016 to November 25, 2016February 24, 2017 to March 24, 2017June 30, 2017 to July 28, 2017October 27, 2017 to November 24, 2017February 23, 2018 to March 23, 2018June 29, 2018 to July 27, 2018October 26, 2018 to November 23, 2018show 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: $499 (5.0 CEUs) Next three dates:April 15, 2016 to May 13, 2016August 05, 2016 to September 02, 2016January 13, 2017 to February 10, 2017April 14, 2017 to May 12, 2017August 04, 2017 to September 01, 2017January 05, 2018 to February 02, 2018April 13, 2018 to May 11, 2018August 03, 2018 to August 31, 2018show 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 06, 2016 to June 03, 2016November 18, 2016 to December 16, 2016May 05, 2017 to June 02, 2017November 17, 2017 to December 15, 2017May 04, 2018 to June 01, 2018November 16, 2018 to December 14, 2018show 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:June 03, 2016 to July 01, 2016June 02, 2017 to June 30, 2017June 01, 2018 to June 29, 2018show 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:May 13, 2016 to June 10, 2016May 12, 2017 to June 09, 2017May 11, 2018 to June 08, 2018show 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 23, 2016 to October 21, 2016September 22, 2017 to October 20, 2017September 21, 2018 to October 19, 2018show 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 11, 2016 to April 08, 2016September 02, 2016 to September 30, 2016March 10, 2017 to April 07, 2017September 01, 2017 to September 29, 2017March 02, 2018 to March 30, 2018August 31, 2018 to September 28, 2018show 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 04, 2016 to April 01, 2016July 15, 2016 to August 12, 2016March 03, 2017 to March 31, 2017July 14, 2017 to August 11, 2017March 02, 2018 to March 30, 2018July 13, 2018 to August 10, 2018show 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 04, 2016 to April 01, 2016August 26, 2016 to September 23, 2016March 03, 2017 to March 31, 2017August 25, 2017 to September 22, 2017March 02, 2018 to March 30, 2018August 24, 2018 to September 21, 2018show more dates >> Learn more and register >>
Spatial Statistics with Geographic Information Systems
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:April 08, 2016 to May 06, 2016October 28, 2016 to November 25, 2016April 07, 2017 to May 05, 2017October 27, 2017 to November 24, 2017April 06, 2018 to May 04, 2018November 02, 2018 to November 30, 2018show 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 11, 2016 to April 08, 2016September 16, 2016 to October 14, 2016March 10, 2017 to April 07, 2017September 15, 2017 to October 13, 2017March 09, 2018 to April 06, 2018September 14, 2018 to October 12, 2018show more dates >> Learn more and register >>
Tuition and Fees: $5,002
This estimate includes the cost of any texts you need to buy, the application fee, the registration fee, individual course fees that you pay as you progress through the program, as well as various tuition savings available to you once you are a matriculated certificate candidate at the Institute. The actual total cost of the program may vary slightly depending on several factors and may differ slightly from the estimate above; fees are subject to change without prior notice.
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 application fee is $75, which you can pay here. 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!
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 by the State Council of Higher Education for Virginia (SCHEV).
Still have questions?
Email the registrar (ourcourses [at] statistics.com) with your questions or to schedule a call.