Training Workshop on Big Data Analytic and Data Visualization with JMP-SAS software
West Africa Young Statisticians Association (WAYSA) and Statistical Modelling Group (SMG) Department of Statistics, University of Ibadan Introduces a 4 day training workshop on Big Data Analysis and Data Visualization with JMP-SAS software (Free JMP-SAS License with installation instructions for all attendees) for students, industries, cooperate bodies, government agencies and researchers
VENUE: DEPARTMENT OF STATISTICS, UNIVERSITY OF IBADAN, IBADAN , NIGERIA.
DATE: 13 - 16 MAY, 2019 TIME: 9:00am - 4:00pm
JMP is a suite of computer programs for statistical analysis developed by the JMP business unit of SAS institutes created JMP in 1989 to empower scientists and engineers to explore data visually. Since then, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs.JMP is used in applications such as Six Sigma, quality control, and engineering, the design of experiments, as well as for research in science, engineering, and social sciences. The software is focused on exploratory visual analytics, where users investigate and explore data. These explorations can also be verified by hypothesis testing, data mining, or other analytic methods. In addition, discoveries made through graphical exploration can lead to a designed experiment that can be both designed and analyzed with JMP.
Also, an essential element of any research is statistical analysis and documentation of research findings. This is not limited to the science-based disciplines but peculiar to disciplines in the Social Sciences, Technology, Education, Medicine and even the Arts. The relative advantage of computer speed, accuracy and capacity to handle the large volume of data in a few seconds have necessitated the use of specialized software for some common and complex data structures.
An intensive training workshop on the use of JMP-SAS software for the analysis of high-frequency data. Participants will be exposed to the practical application of JMP by experienced and competent professional statisticians and specialists in academia and industry.
OBJECTIVE OF THE TRAINING
I. Teach computation of basic statistical information (data summaries, estimates, tests, confidence intervals, regression etc) Using JMP- SAS software.
II. To develop capacity on the use and applications of JMP-SAS software.
III. To expose participants to the theory, meaning and interpretation of some relevant statistical concepts
IV. To promote, inform researchers about JMP-SAS software and it important in modern day research work.
STATISTICAL PACKAGE TO BE OFFERED
The statistical software to be used for the training is JMP- SAS. Everyone who registers for the workshop and joins WAYSA on www.waysas.org will be given JMP- SAS license with guidelines to install free of charge.
The training will utilize a participatory approach for 4 days. It will include lectures, interactive teaching/learning methods. More hours will be devoted to a practise session.
RELATED INPUTS AND OUTPUTS
i. Well-designed users-friendly trained manuals
ii. The training friendly delivery strategy that encourages learning by doing hand on approach
iii. Self- appraisal and simple exercise to test the extent to which each trainee is benefiting from the learning process.
At the end of the training participants should be able to:
i. Implement common statistical procedures to analyze their own data sets.
ii. Conduct practical classes using the JMP-SAS software.
iii. Analyze primary data from the questionnaire.
iv. Know the appropriate approach to apply to different data structure
v. Relate with JMP-SAS more better than R, SPSS, STATA, PYTHON etc
i. Colleges, Polytechnic and University teachers of statistics (including teachers in colleges of education, medical colleges etc)
ii. Users of statistics in Natural Sciences, Social sciences, Business management Students (undergraduates and postgraduates) in the sciences and related fields.
iii. Directors, managers and policy makers in Federal and States Miniseries, as well as Department of Planning and Research in the local governments.
iv. Interested members of the general public.
DURATION AND TRAINING MODALITIES
The period of training shall be between the hours of 9:00 am and 4:00 pm. While we encourage participants to come with their laptops. We will ensure that each participant has a computer unit to him/her for effective teaching and learning. The challenge of erratic power supply will be adequately taken care of.
Resource persons are an experienced and highly skilled researchers from SAS, Universities and Research Institutes both in Nigeria and abroad.
1. Prof. Richard De Veaux, Professor of Statistics at Williams College, Williamstown, Massachusetts, USA http://sites.williams.edu/rdeveaux/
2. Mr Sam Korie, Biometric Unit, International Institute of Tropical Agriculture (IITA), Ibadan
3. Dr Taofik Dawud, Institute of Agricultural Research and Training (IAR&T), Ibadan
The resource persons will provide lecture notes to be duplicated and distributed among participants by organizers. Organizers can make copies
and collect a modest cost from participants.
#25, 000 (Nigeria Naira NGN) or $75.
It is important to join and pay WAYSA membership at NGN # 5000 (USD $ 15 )for Student, at NGN # 10,000 (USD $ 25) for Corporate and Free for Qualified Mentor at www.waysas.org
For membership and registration for the workshop kindly make your payment to the bank details below and send proof of payment to email@example.com :
Bank Name: Fidelity Bank Plc.
Bank Address: Beside UBA Bank Idi- Ape, Ibadan Oyo State, 200001, Nigeria
Account Name: West Africa Young Statistician Association.
Account No.: 6060321335
Swift Code/BIC: FIDTNGLA
THE PROGRAM COORDINATORS :
WEST AFRICA YOUNG STATISTICIAN ASSOCIATION (WAYSA)
STATISTICAL MODELLING GROUP (SMG) Department of Statistics, University of Ibadan
Register online via www.waysas.org
Local Organizing Committe (LOC) Contacts
Mr. Oyebimpe Adeniji +234- (0)8068496710
Prof. Shittu, Olanrewaju +234- (0) 8052114739
Dr. Chuckwu Angella +234- (0) 8033471273
Dr. Oyamakin Femi +234- (0) 8066266535
Mr Patrick Osatohanmwen +234- (0) 7034642574
1. SAS INSTITUTE https://www.sas.com/en_us/home.html
2. INTERNATIONAL STATISTICAL INSTITUTE (ISI) https://isi-web.org/
If you want to partner or sponsor this program you can mail us at firstname.lastname@example.org