About the Course
SPSS is one of the most widely used tools for visualizing and analyzing data sets for market research, healthcare research or any sort of statistical research purpose. Now a days, the companies are investing heavily upon the market research wings and thus there is a rise in demand of Analysts across industries. This course will train the learners about the intricacies of data analysis and thus will groom them as analysts. This course will also benefit those who are pursuing higher academics in the fields of economics, statistics, marketing, healthcare, social science since the scholars will be well versed with different analytical techniques and thus can dive deep into their data to bring out deep insights on their thesis statement.
The course has 3 parts :
i. Data Visualization.
ii. Data Preparation
iii. Data Analysis
Data Analysis is again sub categorized into:
a. Theoretical Concepts of Different Analytical Techniques
b. Application of the Analytical Techniques with SPSS.
TRAINING METHODOLOGY -
a. Theory discussion
b. Practical Implementation
c. Case studies from different sectors
e. Knowledge Tests
TRAINING MATERIALS -
a. SPSS (Version 19/ 20/ 21)
b. Printed Handouts
d. PDF files
TOTAL DURATION -
60 Hours Classroom Training.
COMPLEMENTARY SERVICE -
a. Building an eye catching CV as an analyst.
b. Interview Preparation for the profile of an analyst.
Topics CoveredSPSS TRAINING CURRICULUM
•Data Files And Data Editor
•Data Preparation And Data Transformation
•File Handling N Transformation And Working With O/P
•Frequencies , Descriptives
•Explore And Crosstabs
•Summarize And Means
•T Tests And 1-Way Anova
•2 - Way ANOVA, 3 - WAY ANOVA,, MANOVA
•Bivariate Correlations And Partial Correlations
•Linear Regression And Curve Estimation
•Factor Analysis And Choosing A Procedure For Cluster
•2 Step Cluster Analysis And Hierarchial Cluster Analysis
•K Means Cluster Analysis
•Non Parametric Tests
•Multiple Response Analysis And Reliability Analysis
•Overview Of The Chart Facility And Roc Curves
•Choosing A Procedure For Binary Logistic And Logistic Regression
•Multinomial Logistic Regression And Probit Analysis
•Nonlinear Regression And Weight Estimation
•Introduction To Time Series , Time Series Modeler And Apply Time Series Models
•Seasonal Decomposition And Spectral Plots
Who should attendM.B.A. (Any Specialization)
M.A. / M.SC in any branch of Maths, Economics or Statistics
B.A. / B.SC in Maths , Economics or Statistics
B.COM with Statistics as a paper in Graduation
Ph.D and Research Scholars in any discipline of Science, Economics and Social Science
Pre-requisitesBasic knowledge of Statistics (Mean, Median, Mode)
Basic understanding of English.
What you need to bringStudent needs to carry his/her Laptop
Notepad and Pen will be provided
Key TakeawaysBe proficient in SPSS data analysis and be job ready for the analytics industry
Become a proficient statistical analyst.