Statistics schools/courses

programs, certificates, diplomas and degrees (On campus, Online or On-site)
Total 71 training courses/programs at schools in New York, NY, USA



Metropolitan College of New York

Campus/Training Center: New York City
Phone No.: 212 343 1234

Managerial Statistics

Course Format: Public Course/Instructor-Led/Open Enrollment  V

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.


New York University School of Continuing and Professional Studies

Campus/Training Center: New York City
Phone No.: (212) 998-7200

Statistics for Management

Course Format: Public Course/Instructor-Led/Open Enrollment

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.


The City College of New York

Campus/Training Center: New York City
Phone No.: (212) 650 7000

Statistics

Course Format: Public Course/Instructor-Led/Open Enrollment  V

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

Course Format: Public Course/Instructor-Led/Open Enrollment  V

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.


Learning Tree International

Campuses/Training Centers: Annapolis, Atlanta, Baltimore, Boston, Chicago, Dallas, Los Angeles, New York, Philadelphia
Phone No.: 1-888-843-8733

Making Effective Decisions with Business Statistics

Course Format: Public Course/Instructor-Led/Open Enrollment  V

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.


NobleProg

Campus/Training Center: Else
Phone No.: +1 415 692 4083


Introduction to R Workshop

Course Format: Else  V

Introduction and preliminaries

Making R more friendly, R and available GUIs
The R environment
Related software and documentation
R and statistics
Using R interactively
An introductory session
Getting help with functions and features
R commands, case sensitivity, etc.
Recall and correction of previous commands
Executing commands from or diverting output to a file
Data permanency and removing objects
Simple manipulations, numbers and vectors

Vectors and assignment
Vector arithmetic
Generating regular sequences
Logical vectors
Missing values
Character vectors
Index vectors, selecting and modifying subsets of a data set
Other types of objects
Objects, their modes and attributes

Intrinsic attributes: mode and length
Changing the length of an object
Getting and setting attributes
The class of an object
Ordered and unordered factors
Read More]


Statistics for Researchers Workshop

Course Format: Else  V

Scientific Method, Probability &, Statistics

Very short history of statistics
Why can be &,quot,confident&,quot, about the conclusions
Probability and decision making
Preparation for research (deciding &,quot,what&,quot, and &,quot,how&,quot,)

The big picture: research is a part of a process with inputs and outputs
Gathering data
Questioners and measurement
What to measure
Observational Studies
Design of Experiments
Analysis of Data and Graphical Methods
Research Skills and Techniques
Research Management
Describing Bivariate Data

Introduction to Bivariate Data
Values of the Pearson Correlation
Guessing Correlations Simulation
Properties of Pearson&,#146,s r
Computing Pearson&,#146,s r
Restriction of Range Demo
Variance Sum Law II
Exercises
Probability

Introduction
Basic Concepts
Conditional Probabi... [Read More]


Statistics for Managers Workshop

Course Format: Else  V

Introduction to Statistics

What are Statistics?
Importance of Statistics
Descriptive Statistics
Inferential Statistics
Variables
Percentiles
Measurement
Levels of Measurement
Basics of Data Collection
Distributions
Summation Notation
Linear Transformations
Common Pitfalls

Biased samples
Average, mean or median?
Misleading graphs
Semi-attached figures
Third variable problem
Ceteris paribus
Errors in reasoning
Understanding confidence level
Understanding Results

Describing Bivariate Data
Probability
Normal Distributions
Sampling Distributions
Estimation
Logic of Hypothesis Testing
Testing Means
Power
Prediction
ANOVA
Chi Square
Case Studies

Discussion about case studies chosen by the delegates.


Statistics Level 1 Workshop

Course Format: Else  V

Introduction

Descriptive Statistics
Inferential Statistics
Sampling Demonstration
Variables
Percentiles
Measurement
Levels of Measurement
Measurement Demonstration
Basics of Data Collection
Distributions
Summation Notation
Linear Transformations
Exercises
Graphing Distributions

Qualitative Variables
Quantitative Variables
Stem and Leaf Displays
Histograms
Frequency Polygons
Box Plots
Box Plot Demonstration
Bar Charts
Line Graphs
Exercises
Summarizing Distributions

Central Tendency
What is Central Tendency
Measures of Central Tendency
Balance Scale Simulation
Absolute Difference Simulation
Squared Differences Simulation
Median and Mean
Mean and Median Simulation
Additional Measures
Comparing measures
Variability
Measures of Variability
Estimating Variance Simulation
S... [Read More]


Statistics Level 2 Workshop

Course Format: Else  V

Describing Bivariate Data

Introduction to Bivariate Data
Values of the Pearson Correlation
Guessing Correlations Simulation
Properties of Pearson&,#146,s r
Computing Pearson&,#146,s r
Restriction of Range Demo
Variance Sum Law II
Exercises
Probability

Introduction
Basic Concepts
Conditional Probability Demo
Gamblers Fallacy Simulation
Birthday Demonstration
Binomial Distribution
Binomial Demonstration
Base Rates
Bayes&,#146, Theorem Demonstration
Monty Hall Problem Demonstration
Exercises
Normal Distributions

Introduction
History
Areas of Normal Distributions
Varieties of Normal Distribution Demo
Standard Normal
Normal Approximation to the Binomial
Normal Approximation Demo
Exercises
Sampling Distributions

Introduction
Basic Demo
Sample Size Demo
Central Limit Theorem Demo
Read More]


Minitab for Statistical Data Analysis Workshop

Course Format: Else

Descriptive Statistics
Normal Distribution
Correlation
Regression
Trend analysis &, forecasting
Confidence intervals
t-tests
proportion tests
variance tests
Anova
Chi Squared tests


Forecasting with R Workshop

Course Format: Else  V

Forecasting with R

Introduction to Forecasting
Exponential Smoothing
ARIMA models
The forecast package
Package &,#146,forecast&,#146,

accuracy
Acf
arfima
Arima
arima.errors
auto.arima
bats
BoxCox
BoxCox.lambda
croston
CV
dm.test
dshw
ets
fitted.Arima
forecast
forecast.Arima
forecast.bats
forecast.ets
forecast.HoltWinters
forecast.lm
forecast.stl
forecast.StructTS
gas
gold
logLik.ets
ma
meanf
monthdays
msts
na.interp
naive
ndiffs
nnetar
plot.bats
plot.ets
plot.forecast
rwf
seasadj
seasonaldummy
seasonplot
ses
simulate.ets
sindexf
splinef
subset.ts
taylor
tbats
thetaf ... [Read More]


Northeastern University College of Professional Studies

Campus/Training Center: Online
Phone No.: 1.877.668.7727

Statistics

Course Format: Online/Virtual Classroom/Webinar

Introduces the collection and organization of data, including the measurement, presentation, and uses of elementary set theory, measures of central tendency and variability, basic probability, and probability distributions.

Pages: 1 2 3 4 5 6



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