Description
General Information
Announcements
Prior knowledge of programming in R and statistics is not required. We shall lay a good foundation in the basic quantitative analysis & upgrade into a more advanced statistical analysis involving: statistical tests, different classes of regression models: fixed & mixed-effect regression models, machine learning algorithms, advanced data visualization, data cleaning, use of existing libraries/packages for data analysis in R, amongst others. The use of R IDEs like R studio and Jupyter Notebook is demonstrated with lots of other tasks/examples.
Main Objectives:
1. Brief introduction to mathematical/statistical programming and important info on data analyses (e.g., variables, data structures, inferential tests & model fitting).
2. Description of R IDEs including installation & loading of packages (e.g., R studio, Jupyter Notebook).
3. Setting working directory, importing and exporting data of different extensions (.CSV, .TXT, XLS/XLXS, SPSS, SAS, STATA, etc.).
4. Sourcing of external R scripts/Complex R Functions, descriptive summaries & data visualisations in R.
5. Interesting Practice Task (Instructor will describe the problem): Using statistics to aid in forensic or crime detection investigation of a mummy with the help of a GLM classification model.
You can watch the recorded video on YouTube (which has been split into two parts/videos) via:
Part 1: https://www.youtube.com/watch?v=JviptQyTm_c&t=883s
Part 2: https://www.youtube.com/watch?v=jFE0sy_NhFc&t=1119s
Please help me to grow this channel by subscribing, and do share with your contacts if you can. Do have a wonderful day, cheers.
#R #Statistics #Programming #Advanced Data Analysis
Announcement
This is a detailed presentation on Advanced Quantitative Analysis for Research. It was a talk organized by a UK-based professor in his master class (Prof Gokahโs Master Class dated April 10, 2021), and I was honoured to present on Advanced Quantitative Analysis for Research. You can comment, share with your contacts and subscribe to the YouTube Channel to motivate us for more interesting packages. There are very interesting 12 videos on advanced data analysis in R software already on the YouTube channel (Clement Twumasi Educative Channel) for students to learn at their own pace.
The beamer slide for this presentation can be found in the link below (can also be found on my Piazza website resource section for those who have access):๐๐
For the YouTube video:๐
Brief information on statistics, statistical methods, data variables, different kinds of data structures and other methods of analysis (Qualitative and Mixed methods) were also covered. Finally, advanced statistical tests (univariate & multivariate tests) and a range of statistical models (fixed-effect regression models, mixed-effect regression models, Functional data analysis and Machine learning algorithms) were further elaborated.
The National Union of Ghanaian Students in China (NUGS-China) organized an intensive 4-day event on Advanced Data Analysis in R programming software (dated 17-20th March 2021); which was advertised here on this platform some days ago. The event was recorded and uploaded on YouTube for interested students to learn at their own pace. All scripts/R codes and data used have been uploaded on my Piazza website, and you can have access for free at no cost once you are already enrolled on my Piazza platform.
To enrol on Piazza, you can send me an email via twumasic@cardiff.ac.uk for an invitation link. There are already 8 exclusive videos + these 4 new ones on R programming on my YouTube channel: Clement Twumasi Educative Channel. You can search for the channel name. I would be glad if you could also subscribe to my YouTube channel & share it with your contacts. This will help grow the channel and encourage the production of much more exciting contents at no cost. This is my little contribution to humanity.
Thank you all once again, and I hope my initiatives become very useful to all. Have a wonderful day.
This is the first YouTube video on Introduction to R & importing of different data formats (e.g. SAS, STATA, SPSS, etc) in R [1 of 4].
https://www.youtube.com/watch?v=VB34QLEa1bE
This is the second YouTube video on Loops & apply functions in R, & Parallelization of R codes in Linux and Windows computers [2 of 4].
https://www.youtube.com/watch?v=m9H_nCJRRR0&t=2947s
This is the third YouTube video on Creating/running your own complex functions based on any formula, & Data Visualization in R [3 of 4].
https://www.youtube.com/watch?v=776adY_f6RI&t=3317s
This is the fourth YouTube video on Time Series Analysis in R, and other advanced statistical tests & different models in R [4 of 4].
#pin*Quick announcement: *โ๏ธโ๏ธ
Four interesting YouTube videos (1 hour max) on the Advanced Data Analysis in R organised by the National Union of Ghanaian students in China (NUGS-China) will be made available in few days on my YouTube channel. Donโt forget to subscribe and share with your contacts. So stay tuned and watch to improve your own employability. Every company or institution works with data in recent times. You donโt have to only be a statistician before you encourage yourself to be versatile especially in Data Analysis & programming. Add extra value to yourself and this is my little contributions to humanity ๐๐๐ฟ. Itโs never too late and donโt be scared. Itโs just a matter of time. Good luck in all your endeavours.
๐จ Don't Miss Out on This Exclusive Masterclass! ๐จ
On December 7th, 2024, the National Union of Ghana Students in China, in collaboration with NEC and other student unions, hosted a groundbreaking statistical masterclass. This 3-part series is packed with advanced statistical techniques and practical applications that every researcher, analyst, and data enthusiast should know!
๐ In Part 1: Learn about powerful models like Generalized Linear Models (GLMs), Mixed-Effects Models, and cutting-edge Machine Learning Methods for prediction.
๐ Part 1: https://youtu.be/nmiMANLYJL4
๐ In Part 2: Dive deep into Dimension Reduction Techniques (PCA, t-SNE, UMAP), Time Series Analysis, Functional Data Analysis, Network Analysis, and more!
๐ Part 2: https://youtu.be/Ul9KFR1maIo
๐ฉบ In Part 3: Get hands-on with Survival Analysis, Multi-State Markov Models, and learn how to work with medical data using R programming.
๐ Watch now and level up your statistical skills!
๐ Part 3: https://youtu.be/FHrn7el7qqQ
๐ฅ Whether you're a medical researcher, data scientist, or R enthusiast, this series is a game-changer. Don't forget to like, comment, and subscribe for more insightful content! ๐๐
| Name | Office Hours | |
|---|---|---|
Mildred Aduamoah | When? Where? | |
Clement Twumasi | When? Where? |