SPSS Training in Noida, SPSS Training Institute in Noida

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SPSS Training in Noida & Best SPSS Training Institute in Noida

SPSS Training in Noida is organized by Croma Campus. Croma Campus is a leading Industrial training institute in Noida & Delhi NCR. We provide most learning environment for major technical course at affordable price. The best SPSS training institute in Noida offers the best technical IT training for the regarding course. We provide basic and advanced level SPSS Training in Noida with proper practically knowledge. At Croma Campus, SPSS Training is offered by industry experts having 8-10 Yrs. Of experience.

SPSS Training in Noida- Croma Campus

Croma Campus has well prepared hardware lab for SPSS training in Noida. Hardware & Software are required to learn all the skills set for SPSS training. Our trainers organize job oriented SPSS training. Croma Campus is one of the well-equipped SPSS training center in Noida. We provide training on a real-time project which helps to student in a better understanding. Croma Campus & our trainers also help to student to get placement in top MNCs by preparation at different strategies. We have designed SPSS course content and syllabus to achieve their professional goals.

Focusing on high quality education, Croma Campus is also providing advanced SPSS Training institute in Noida which is specifically conducted, keeping the latest industry requirement in mind. SPSS is an advanced statistics and data analysis program for businesses, governments, research institutes, and academic organizations. We, known as highly reputed SPSS Training in Noida, Delhi NCR, nurture the students as per the demand going on in the industry. Additionally, in order to provide the best theoretical and practical knowledge, we have highly experienced trainers who have been associated with different leading firms running across the industry.
All our trainers endeavor to make the students efficient in handling all the complicated tasks related to SPSS so that they can utilize their skills in any organization and can provide their career a perfect shape. Apart from it, keeping the packed time schedule of our students and other working professionals in mind, we are also providing SPSS Course Online. In this course, we take a practical, visual, and non-mathematical approach to SPSS. From importing spreadsheets to creating regression models, to exporting charts, this course covers all the topics, with an emphasis on clarity, interpretation, communicability, and application.

Furthermore, Croma Campus is the well-known SPSS training center in Noida with high tech infrastructure & lab facilities. We also provide access of servers so that candidates will implement the projects at home easily. More than 3000+ candidates are mentored by Croma campus in SPSS training in Noida at very affordable fees.

SPSS Training & Placement in Noida

In addition, Croma Campus built-in multi-facilitate class rooms with installed projectors. So that, candidates can better understand the topic in the better way. Our strong associations with top organizations like HCL, Wipro, Dell, Birlasoft, TechMahindra, TCS, IBM etc. make us capable to place our students in top MNCs across the globe. Croma Campus is one of the best SPSS training center in Noida with 100% placement support. We have placed thousands of students according to their skills and area of interest that makes us student’s preferred SPSS training institute in Noida. Next, we closely monitor the growth of students in our training and assist them to increase their performance and level of knowledge.

During our SPSS Training in Noida, we will teach you below

• Building charts, scatter plots, and box plots
• Calculating descriptive statistics such as means and standard deviations
• Use inferential statistics such as t-tests and chi-squares
• How to enter and read data
• Creating new variables and cross tabulations
• Model associations with correlations, contingency tables, and multiple-regression analysis
• Format and export presentations to share your data

Apart from above, being a reputed SPSS Training Institute in Noida, Delhi NCR, we not only provide the subject training but also provide the tactics to crack the interview by conducting mock interview sessions. Moreover, our associations with leading companies like Wipro, TCS, HCL make us capable to place our students as per their skills and caliber. We are providing SPSS Training in Noida at very affordable fee so that maximum students can be benefitted with our course or program designed by the experts in the field of SPSS.

Key Features of SPSS Training are:

  • Design POC (Proof of Concept): This process is used to ensure the feasibility of the client application.
  • Video Recording of every session will be provided to candidates.
  • Live Project Based Training.
  • Job-Oriented Course Curriculum.
  • Course Curriculum is approved by Hiring Professionals of our client.
  • Post Training Support will helps the associate to implement the knowledge on client Projects.
  • Certification Based Training are designed by Certified Professionals from the relevant industries focusing on the needs of the market & certification requirement.
  • Interview calls till placement.

Research methods

  • Statistics?
    • The Research Process
    • Initial Observation
    • Generate Theory
    • Generate Hypotheses
    • Data collection to Test Theory
    • What to measure
    • How to Measure
    • Analyze data
  • Descriptive Statistics: Overview
  • Central Tendency
  • Measure of variation
  • Coefficient of Variation
  • Fitting Statistical Models
  • Conclusion


  • Building statistical models
  • Types of statistical models
  • Populations and samples
  • Simple statistical models
  • The mean as a model
  • The variance and standard deviation
  • Central Limit Theorem
  • The standard error
  • Confidence Intervals
  • Test statistics
  • Non-significant results and Significant results:
  • One- and two-tailed tests
  • Type I and Type II errors
  • Effect Sizes
  • Statistical power

SPSS Environment

  • Accessing SPSS
  • To explore the key windows in SPSS
    • Data editor
    • The viewer
    • The syntax editor
  • How to create variables
  • Enter Data and adjust the properties of your variables
  • How to Load Files and Save
  • Opening Excel Files
  • Recoding Variables
  • Deleting/Inserting a Case or a Column
  • Selecting Cases
  • Using SPSS Help

Exploring data with graphs

  • The art of presenting data
  • The SPSS Chart Builder
    • Histograms: a good way to spot obvious problems
    • Boxplots (box–whisker diagrams)
  • Graphing means: bar charts and error bars
    • Simple bar charts for independent means
    • Clustered bar charts for independent means
    • Simple bar charts for related means
    • Clustered bar charts for related means
    • Clustered bar charts for ‘mixed’ designs
  • Line charts
  • Graphing relationships: the scatterplot
    • Simple scatterplot
    • Grouped scatterplot
    • Simple and grouped -D scatterplots
    • Matrix scatterplot
  • Simple dot plot or density plot
  • Drop-line graph
  • Editing graphs

Exploring assumptions

  • What are assumptions?
  • Assumptions of parametric data
  • The assumption of normality
  • Quantifying normality with numbers
  • Exploring groups of data
  • Testing whether a distribution is normal
  • Kolmogorov–Smirnov test on SPSS
    • Output from the explore procedure
    • Reporting the K–S test
  • Testing for homogeneity of variance
    • Levene’s test
    • Reporting Levene’s test
  • Correcting problems in the data
    • Dealing with outliers
    • Dealing with non-normality and unequal variances
    • Transforming the data using SPSS


  • Looking at relationships
  • How do we measure relationships?
    • Covariance
    • Standardization and the correlation coefficient
  • The significance of the correlation coefficient
  • Confidence intervals for r
  • Correlation in SPSS
    • Bivariate correlation
    • Pearson’s correlation coefficient
    • Spearman’s correlation coefficient
    • Kendall’s tau (non-parametric)
    • Biserial and point–biserial correlations
    • Partial correlation
    • The theory behind part and partial correlation
    • Partial correlation using SPSS
    • Semi-partial (or part) correlations
  • Comparing correlations
  • Comparing independent rs
  • dependent rs
  • Calculating the effect size
  • How to report correlation coefficients


  • An introduction to regression
  • Some important information about straight lines
  • The method of least squares
  • Assessing the goodness of fit: sums of squares, R and R2
  • Doing simple regression on SPSS
    • Interpreting a simple regression
    • Overall fit of the model
    • Model parameters
    • Using the model
  • Multiple regression: the basics
    • An example of a multiple regression model
    • Sums of squares, R and R2
    • Methods of regression
    • How accurate is my regression model?
    • Assessing the regression model I: diagnostics
    • Assessing the regression model II: generalization
  • How to do multiple regression using SPSS
    • Some things to think about before the analysis
    • Main options
    • Statistics
    • Regression plots
    • Saving regression diagnostics
    • Interpreting multiple regression
  • Descriptive
    • Summary of model
    • Model parameters
    • Excluded variables
    • Assessing the assumption of no multicollinearity
    • Casewise diagnostics
  • Checking assumptions
    • What if I violate an assumption?
    • to report multiple regression

Categorical predictor in multiple regression

  • Dummy coding
  • SPSS output for dummy variables

Logistic regression

  • Background to logistic regression
  • What are the principles behind logistic regression?
  • Assessing the model: the log-likelihood statistic
  • Assessing the model: R and R2
    • The Wald statistic
    • The odds ratio: Exp (B)
  • Methods of logistic regression
    • Assumptions
    • Incomplete information from the predictors
    • Complete separation
    • Overdispersion
    • Binary logistic regression
    • The main analysis
    • Method of regression
    • Categorical predictors
    • Obtaining residuals
  • Interpreting logistic regression
    • The initial model
    • Step: intervention
    • Listing predicted probabilities
    • Interpreting residuals
    • Calculating the effect size
  • How to report logistic regression
  • Testing assumptions
    • Testing for linearity of the logit
    • Testing for multicollinearity
  • Predicting several categories: multinomial logistic regression
  • Running multinomial logistic regression in SPSS
    • Statistics
    • Other options
    • Interpreting the multinomial logistic regression output
    • Reporting the results

Comparing two means (t-test)

  • Looking at differences
  • A problem with error bar graphs of repeated-measures designs
    • Step : calculate the mean for each participant
    • Step : calculate the grand mean
    • Step : calculate the adjustment factor
    • : create adjusted values for each variable
  • The t-test
  • Rationale for the t-test
    • Assumptions of the t-test
    • The dependent t-test
    • Sampling distributions and the standard error
    • The dependent t-test equation explained
    • The dependent t-test and the assumption of normality
    • Dependent t-tests using SPSS
    • Output from the dependent t-test
    • Calculating the effect size
  • Reporting the dependent t-test
    • The independent t-test
    • The independent t-test equation explained
    • The independent t-test using SPSS
    • Output from the independent t-test
    • Calculating the effect size
  • Reporting the independent t-test
  • Between groups or repeated measures?
  • The t-test as a general linear model

Comparing several means: ANOVA (GLM)

  • The theory behind ANOVA
  • Inflated error rates
  • Interpreting f-test
  • ANOVA as regression
    • Logic of the f-ratio
    • Total sum of squares (SST)
    • Model sum of squares (SSM)
    • Residual sum of squares (SSR)
    • Mean squares
    • The f-ratio
  • Assumptions of ANOVA
  • Planned contrasts
  • Post hoc procedure
  • Running one-way ANOVA on SPSS
  • Planned comparisons using SPSS
  • Post hoc tests in SPSS
    • Output from one-way ANOVA
    • Output for the main analysis
    • Output for planned comparisons
    • Output for post hoc tests
    • Calculating the effect size
    • Reporting results from one-way independent ANOVA
    • Violations of assumptions in one-way independent ANOVA


  • Analysing categorical data
  • Theory of analysing categorical data
    • Pearson’s chi-square test
    • Fisher’s exact test
  • The likelihood ratio
  • Yates’ correction
  • Assumptions of the chi-square test
  • Doing chi-square on SPSS
    • Running the analysis
    • Output for the chi-square test
    • Breaking down a significant chi-square test with standardized residuals
    • Calculating an effect size
  • Reporting the results of chi-square

Please write to us at info@cromacampus.com for the course price, schedule & location.

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Frequently Asked Questions:


All training courses offered by us are through IT Professional with 10+ years of experience. Freshers/College Students/Professionals(IT & Non-IT) can spot the quality of training by attending one lecture. Hence, we provide one free demo class to all our trainees so that they can judge on their own.


No, you don’t have to pay anything to attend the demo class. You are required to pay the training fee after free demo only if you are fully satisfied and want to continue the training.


To register for free demo, visit our campus or call our counsellors on the numbers given on contact us page.


Yes, all the trainees shall work on live projects provided by Croma Campus after completing their training part.


You will never lose any lecture. You can choose either of the two options:
View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch.

Please note, access to the course material will be available for lifetime once you have enrolled into the course.


Yes, Training certificate & Project completion will be issued by Croma Campus(ISO 9001-2000 Certified Training Center)


Yes, Croma Campus conduct special training programs on week end for college students throughout the year.


Croma Campus is the largest education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don’t guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.


Yes, Course Fee can be paid in two equal installments with prior Approval.


Yes, Croma Campus offer various group or special discounts.


No, Lab is open from 8 A.M. to 8 P.M. seven days a week. This time can be extended upto 11 PM if need arises.


Yes, students can take breaks during their exams and can resume it later without paying any fee. Apart from this, Students can attend batches for revision even after completion of their courses.


Batch strength differ from technology to technology. Minimum batch strength at Croma Campus is 10 and maximum batch strength is 30.

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