Analytics for Data Science
10 courses, 4 weeks each
Analytics for Data Science Online Certificate
Are you a ...
- Business or Data Analyst needing to add data mining to your skill set to interface with vendors or programmers
- Manager reponsible 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:November 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:October 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:To be scheduled.show 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 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:September 28, 2018 to October 26, 2018May 22, 2020 to June 21, 2020show 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:October 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:To be scheduled.show 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:November 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:To be scheduled.show 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 31, 2018 to September 28, 2018August 30, 2019 to September 27, 2019show 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:To be scheduled.show more dates >> Learn more and register >>
Geospatial Data Mapping with QGIS
Tuition: (5.0 CEUs) Next three dates:February 22, 2019 to March 22, 2019show 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 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:August 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:To be scheduled.show 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:August 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:November 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:September 14, 2018 to October 12, 2018show 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 of paying in monthly installments, or on a course-by-course basis:
- Pay for your program upon enrollment (check or credit card): $5000
- Pay for program upon enrollment via training or purchase order, or if needing quote or invoice: $5500
- Pay in 18 monthly installments: $290/month
- Pay as you go: $5,884
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 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 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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