KGMU notifies on workshop organised by IISE Lucknow, Science-Tech Institute, Faculties, residents can participate
Uttar Pradesh- International Institute for Special Education (IISE), Lucknow in collaboration with Science-Tech Institute, Lucknow is going to organise a 5th One week Online Workshop on Optimising Statistical Insights: Advanced Data Analysis with SPSS. On this, King George Medical University (KGMU) has shared a detailed information about the program through an advertisement.
This workshop will be held from May 21-27, 2024 from 6:30 pm to 8:30 pm.
Interested and eligible candidates can register through the link given in the advertisement. The last date for registration is 20th May 2024 till midnight. Meanwhile, candidates will have to pay the registration fee while registering for the program, where Indian participants will have to pay Rs 600/- and foreign participants will have to pay USD($) 10/-. However, the registration fee is non-refundable for both the Indian and Foreign participants.
After successful registration, the participants will receive a confirmation via email. Candidates are instructed to keep on checking the spam folder of the email as the bulk email sent may end up in the spam folder. An official group has also been made for communication with the participants on “WhatsApp.“ The link to join the official group will also be provided in the confirmation mail.
WHO CAN PARTICIPATE?
Faculties, Residents from Medical Colleges, Nursing Colleges, Agriculture College, Law College and Engineering, College, SIHFW and Demographers, Epidemiologists, Statistical officers, Data Analyst and other researchers who are interested in learning data from Govt. and Pvt. organisations are eligible to apply and also all Faculty members (regular/adhoc/temporary/guest) from any Indian/Foreign University/College, PhD (Research Scholars) and UG, PG Students of MBBS & MD, B. Tech & M. Tech. , B.Sc.& M. Sc. BCA & MCA, B. Com. & M. Com. LLB and LLM of all the disciplines.
PROGRAMME SCHEDULE
S.NO | DAY | DATE | COURSE |
1 | Day- 1 | 21 May, 2024 | 1Descriptive Statistics. 2 Graphical representation of Data. 3 Testing of Normality. 4 Testing of Homogeneity. |
2 | Day- 2 | 22 May, 2024 | 1 One sample t-test. 2 Independent t-test. 3 Paired t-test. 4 ANOVA. 5 Repeated measures ANOVA. |
3 | Day- 3 | 23 May, 2024 | 1 Mann Whitney U-test. 2 Wilcoxon Rank Signed test. 3 Kruskal Wallis Test. 4 Friedman ANOVA. 5 Chi-square test. |
4 | Day- 4 | 24 May, 2024 | 1 Bivariate Regression Analysis. 2 Logistic Regression Analysis. 3 Multinomial Logistic Regression Analysis. |
5 | Day- 5 | 25 May, 2024 | 1 Exploratory Factor Analysis. 2 Interpretation of Exploratory Factor Analysis. |
6 | Day- 6 | 26 May, 2024 | 1 Cluster Analysis. 2 Interpretation of Cluster Analysis. |
7 | Day- 7 | 27 May, 2024 | 1 Discriminant Analysis. 2 Interpretation of Discriminant Analysis. |
OBJECTIVE
The course will explain the fundamental concepts of advanced statistical data Analysis techniques using SPSS. It will be delivered through video lectures and reading materials.
METHODOLOGY
The methodology of the course will comprise of:
1 Online lecture
2 Participatory discussion
3 Demonstrations
4 Problem-solving (exercises and data analysis in each session).
To view the advertisement, click the link below
Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.
NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.