Statistics schools/courses

Managerial Statistics

This foundation course introduces students to statistics useful for their MBA studies and for solving managerial problems. Students will learn a variety of techniques and tools to solicit, evaluate and communicate information for problem solving purposes. The course teaches the concepts and applications of business statistics, as well as providing the students the opportunity to observe and actually carry out computer-generated solutions using SPSS and Microsoft Excel.

Statistics for Management

Learn how statistical methods are used to analyze practical business and social science problems. Theory, mathematical derivation, and jargon are de-emphasized in our examination of both the traditional tools of analysis and new techniques. Topics include measures of central tendency and variability, probability, statistical inference, tests of hypotheses, and simple regression.

Statistics

Covers the basic elements of how to find, synthesize, and interpret different types of data, both quantitative and qualitative. The course will provide an introduction to the use of statistical software such as Microsoft Excel, SPSS and STATA. By the end of the course, students will be able to create a simple database, run basic statistical analyses, and prepare and analyze univariate and multivariate regressions.

Statistics and Decision Making

The objective of this course is to help you learn to analyze data and use methods of statistical inference in making business decisions. This course will focus on the application of fundamental concepts covered in Probability and Decision Making to the problem of drawing inferences from data on observed outcomes. Topics covered during the first part of the course will include statistical sampling and sampling distributions, point estimation and confidence intervals, hypothesis testing, and correlations among variables. The second part of the course will focus on multivariate analysis, with special attention paid to the inferences that may drawn with respect to prediction and causality. Microcomputer statistical packages support the course content.

Making Effective Decisions with Business Statistics

You Will Learn How To

Fully support your business decisions through proven statistical techniques
Manage contingencies and risks to enhance your business strategies
Optimize your decisions by applying measurements and tests to your data
Leverage survey techniques to effectively evaluate data
Prepare your organization for future trend fluctuations through statistical forecasting methods
Present information with precision and clarity

Course Benefits

In today’s uncertain economic climate, professionals need to ensure that their business decisions are based on correct factual analysis. This introductory course takes the mystery out of statistics so that you can analyze your data with clarity and precision. By evaluating data using proven statistical business tools and techniques, you learn to make effective, fact-based business decisions.

Statistics

This course module is intended to develop the statistical concepts and techniques that are needed to make business decisions. Topics to be covered include detailed coverage of descriptive statistics, probability theory (including Bayes�Theorem), and discrete and continuous probability distributions with an emphasis on business applications. A survey of modern statistical methods covering sampling distributions, interval estimation, hypothesis testing, and regression and correlation analysis will be discussed.

Healthcare Statistics and Research

In this course, students apply statistical analysis tools, epidemiological principles, and biomedical research methodologies and protocols to health information management processes and cases. Descriptive statistics, nonparametric methods, and inferential concepts are used to organize health data and present health information.

Business Statistics

This course will introduce you to the importance of statistics in the business world. Statistics is the science of collecting, organizing, and analyzing data in order to make more effective decisions. Understanding statistical techniques can help any manager responsible for marketing, management, accounting, sales, or other business functions.

After completing this course, you’ll be able to:
•Differentiate between descriptive and inferential statistics
•Distinguish between the 4 different scales of measurement: nominal, ordinal, interval, and ratio
•Identify the appropriate graphical or tabular method for presenting your data
•Create frequency distributions
•Create meaningful presentations and graphs including:
•frequency polygons
•bar graphs
•pie charts
•line graphs
•histograms

•Calculate probability and explain its practical application
•Compute the mode, median, and mean of a dataset
•Calculate the variance and st... [Read More]

Accounting & Statistics

This course is the first of two stand-alone but integrated courses designed to give students without a Finance undergraduate degree background the information, terminology, and skills to begin the study of finance at the master’s level. This first course is a very quick paced course will cover the essentials of Financial Accounting and Statistics, which will be assumed knowledge in all Finance required courses and electives. The course focuses on US Financial Accounting techniques and terminology. Additionally, students will be introduced to the utilization of financial calculators and computer spreadsheets, and an introduction to the case method of study which is heavily used in graduate business classes

Quality Control: Online Certificate

Course Description

Quality Control (QC) ensures that products and services are designed and produced to meet or exceed customer expectations. ",Quality Control", is a course that introduces the basics for understanding, developing, and implementing a quality control program. We review several key definitions, tools used (basic statistics and graphs), and emerging industry techniques- such as Six Sigma and Lean. We also present relevant case studies that show implementation steps for several industry and government quality control programs, and the challenges faced.

This course also provides an excellent foundation for further study in Six Sigma, Lean, Total Quality Management, or Operations Management.

Course Outcome

After completing Quality Control, students will be equipped with a basic understanding of the following:

quality control terminologies
regulations
basic statistics
graphical techniques
quality control ... [Read More]

Quality Manufacturing (Certificate)

Program Description

The Quality Manufacturing Certificate Program is designed to teach professionals how to remove waste, reduce development costs, and deliver superior quality products that meet the initial and continuing needs and expectations of the customers by using the continuous quality improvement philosophy to achieve excellence in quality, service, and productivity. The program introduces the fundamentals, activities, and tools needed to maintain a desired level of excellence. This includes creating and implementing quality planning and assurance, as well as quality control and quality improvement at all stages of design and production.

The Quality Manufacturing Certificate Program is composed of the following four courses:

Statistics: An Introduction for Beginners

",Statistics: An Introduction for Beginners", is a course specifically designed for students who desire a basic working knowledge of statistics. The basic ideas of desc... [Read More]

Applied Statistics (Certificate)

The Applied Statistics graduate certificate program is designed to enhance degree programs for graduate students and skills for working professionals who need a statistical background for their current positions or to advance in their career.

Learning new proficiencies in applied statistics can lead to a wider range of employment opportunities in a variety of fields and also provide the tools to enhance research skills.

Research and Statistics for Managerial Decision Making

Applied Managerial Statistics stresses the practical use of statistics in collecting, organizing, analyzing, interpreting, and presenting data. Areas covered include descriptive statistics, inferential statistics, regression analysis, and time series analysis. Attention is devoted to the use of statistical thinking in improving the managerial decision making process.