Marketing Analysis using JMP       .        Data Visualization & Modeling in JMP      

Basic JMP is vital to develop analytical skills. Better decisions are outcome of such skills and it‘s for both researchers and business managers.

Basic JMP Training 

What you will learn:
1. Quantitative data collection,
2. Data entry, data cleaning, analysis and decision making using JMP
3. From problem statement to research questions and frameworks (models) and/or hypothesis testing using JMP
4. Differentiate and use different statistical tests to solve problems using JMP
5. Writing Interpretation and report. 

The focus of this class is on using SPSS to solve problems.

Subjects that we cover:
- Basic Statistics using JMP
- Inferential Statistics using JMP
- Type of variables and measurement levels in JMP
- Sample and Population
- Data with JMP
- Entering and Cleaning Data using JMP
- Descriptive Statistics using JMP
- Frequency tables, Pie chart, Bar chart, Histogram using JMP
- Mean, Mode, Median using JMP
- Skewness, Standard Deviation, Variance using JMP 
- Hypothesis Testing for differences
- t-tests using JMP( 1-sample test , 2-smaple test and paired t-test)
- Analysis of Variance (ANOVA) using JMP
- Hypothesis Testing for Relations using JMP
- Graphing scatter diagram using JMP
- Correlations and Regression Analysis using JMP(Simple linear regression)
- graphing results using JMP and data visualization basics
Decision Analysis using the results of JMP
Interpretation, sensitivity analysis, writing report, conclusion and more.


- Review of Descriptive Statistics, 

- Scale of Measurement
- Tests & Assumptions
- Multivariate Statistics using JMP
     Why Study Multivariate Statistics using JMP
     Univariate and Bivariate Statistics using JMP
- Reliability using JMP

- Data Appropriate for Multivariate Statistics using JMP
     Correlation and Partial Correlation using JMP
     Hypothesis Testing using JMP
- Multiple Regression using JMP (1)
     General Purpose and Description using JMP
     Theoretical Issues: Assumptions using JMP
     Data Analysis and Interpretation using JMP
- Multiple Regression using JMP (2)
     Factor Analysis using JMP(Exp. & Com.)
     Basics of Logistic Regression using JMP(LR)
     Interpretation of LR
- Statistical technics to compare groups using JMP(1)
      Non Parametric statistics using JMP
      T test using JMP
      One way ANOVA using JMP
- Statistical technics to compare groups using JMP(2)
      Two ways ANOVA using JMP
      MANOVA using JMP
      Analysis of Covariance using JMP(ANCOVA)
      Introduction to SEM using JMP (Structural Equation Modelling)

Link to : Basic Excel training   -   Excel training  -  SPSS training  -  DEASolver training  -   Microsoft Word Training  -  Microsoft PowerPoint Training

Why JMP?

JMP is an integrated set of analysis tools and modules for the whole analysis process from questionnaire design and improvement, data collection and data cleaning to organizing, data visualization, graphing, presenting and analyzing data. JMP is very user friendly and more informative than many other softwares. In addition, JMP can be connected to SAS and you can create SAS codes using JMP.

Using SPSS , you can analyze, find relations among factors, predict effect of factors on each other with confidence and based on the results you can make better decisions.

SPSS provides a professional tool for instructors to teach statistics and decision making effectively.

SPSS provides professional analytics tools for a wide range of subjects in Colleges and Universities such as social sciences, management, economics, mathematics and statistics, tourism, education, engineering and many others.

Why SPSS is better than Microsoft Excel

It is much easier to use SPSS because it has been designed for statistical analysis.

SPSS is more powerful than Excel because of more analytics tools available in the package.

SPSS has better design when it comes to data entry, organizing data and analytical graphs.

Pivot tables is SPSS are more flexible and more powerful than in Excel.

SPSS has almost 99% of statistical tests in the packages built in the software plus some management tools such as factor reduction, quality control tools, categorical data analysis and random data creator based on required probability distributions.

SPSS has better presentation of results and that helps a lot in interpretation and report writing.



 Cities we serve outside USA (Worldwide)

Tokyo, Japan
Jakarta, Indonesia
Seoul, South Korea 
Delhi, India 
Shanghai, China 
Manila, Philippines 
Karachi, Pakistan  
Sao Paulo, Brazil 
Mexico City, Mexico
Cairo, Egypt 
Beijing, China  
Osaka, Japan
Mumbai (Bombay), India 
Guangzhou, China 
Moscow, Russia
Calcutta, India 
Dhaka, Bangladesh
Buenos Aires, Argentina 
Istanbul, Turkey 
Rio de Janeiro, Brazil
Shenzhen, China
Lagos, Nigeria
Paris, France 
Nagoya, Japan 
Lima, Peru
Chicago, USA
Kinshasa, Congo (DRC) 
Tianjin, China 
Chennai, India
Bogota, Colombia
Bengaluru, India
London, United Kingdom 
Taipei, Taiwan 
Ho Chi Minh City (Saigon), Vietnam
Dongguan, China
Hyderabad, India
Chengdu, China 
Lahore, Pakistan 
Johannesburg, South Africa
Tehran, Iran
Essen, Germany
Bangkok, Thailand 
Hong Kong, Hong Kong 
Wuhan, China
Ahmedabad, India
Chongqung, China
Baghdad, Iraq
Hangzhou, China 
Toronto, Canada
Kuala Lumpur, Malaysia
Santiago, Chile
Quanzhou, China
Shenyang, China
Belo Horizonte, Brazil
Nanjing, China
Madrid, Spain
Xi'an-Xianyang, China
Milan, Italy 
Luanda, Angola
Pune, India
Singapore, Singapore
Riyadh, Saudi Arabia
Khartoum, Sudan 
Saint Petersburg, Russia
Atlanta, USA
Surat, India
Bandung, Indonesia 
Surabaya, Indonesia
Yangoon, Myanmar
Alexandria, Egypt
Guadalajara, Mexico
Harbin, China 
Zhengzhou, China
Qingdao, China
Abidjan, Cote d'Ivoire
Barcelona, Spain 
Monterrey, Mexico
Ankara, Turkey
Suzhou, China
Salvador, Brazil 
Porto Alegre, Brazil
Rome, Italy
Accra, Ghana
Sydney, Australia
Recife, Brazil 
Naples, Italy
Dalian, China 
Fuzhou, China Medellin, Colombia

 Cities we serve inside USA

New York, New York
Los Angeles, California
Chicago, Illinois
Houston, Texas
Philadelphia, Pennsylvania
Phoenix, Arizona
San Diego, California
San Antonio, Texas
Dallas, Texas
Detroit, Michigan
San Jose, California
Indianapolis, Indiana
Jacksonville, Florida
San Francisco, California
Columbus, Ohio
Austin, Texas
Memphis, Tennessee
Baltimore, Maryland
Charlotte, North Carolina
Fort Worth, Texas
Boston, Massachusetts
Milwaukee, Wisconsin
El Paso, Texas
Washington, District of Columbia
Nashville-Davidson, Tennessee
Seattle, Washington
Denver, Colorado
Las Vegas, Nevada
Portland, Oregon
Oklahoma City, Oklahoma
Tucson, Arizona
Albuquerque, New Mexico
Atlanta, Georgia
Long Beach, California
Kansas City, Missouri
Fresno, California
New Orleans, Louisiana
Cleveland, Ohio
Sacramento, California
Mesa, Arizona
Virginia Beach, Virginia
Omaha, Nebraska
Colorado Springs, Colorado
Oakland, California
Miami, Florida
Tulsa, Oklahoma
Minneapolis, Minnesota
Honolulu, Hawaii
Arlington, Texas
Wichita, Kansas
St. Louis, Missouri
Raleigh, North Carolina
Santa Ana, California
Cincinnati, Ohio
Anaheim, California
Tampa, Florida
Toledo, Ohio
Pittsburgh, Pennsylvania
Aurora, Colorado
Bakersfield, California
Riverside, California
Stockton, California
Corpus Christi, Texas
Lexington-Fayette, Kentucky
Buffalo, New York
Paul, Minnesota
Anchorage, Alaska
Newark, New Jersey
Plano, Texas
Fort Wayne, Indiana
St. Petersburg, Florida
Glendale, Arizona
Lincoln, Nebraska
Norfolk, Virginia
Jersey City, New Jersey
Greensboro, North Carolina
Chandler, Arizona
Birmingham, Alabama
Henderson, Nevada
Scottsdale, Arizona
North Hempstead, New York
Madison, Wisconsin
Hialeah, Florida
Baton Rouge, Louisiana
Chesapeake, Virginia
Orlando, Florida
Lubbock, Texas
Garland, Texas
Akron, Ohio
Rochester, New York
Chula Vista, California
Reno, Nevada
Laredo, Texas
Durham, North Carolina
Modesto, California
Huntington, New YorK
Montgomery, Alabama
Boise, Idaho
Arlington, Virginia
San Bernardino, California