The programme is created to provide participants with an opportunity to further enhance their understanding in the module of Data Analytics.
The 2-day programme will introduce students to the foundations of data analytics. The students will be able to learn types of data, apply descriptive statistics, understand the concepts of probability and probability distributions, sampling distribution and central limit theorem and apply hypothesis testing in real life examples.
The objectives of this module are:
- Describe data and data generation process and their basic statistics
- Undertake hypothesis testing to infer characteristics of populations under study and relations between two or more variables
- Implement steps in data analysis from statements of hypotheses to inferences and implications using regression models
- Interpret descriptive and inferential statistics generated from the applications of data modelling techniques
Who Should Attend
Open to any Individuals who wish to enhance their understanding on Data Analytics.
Face-to- face training.
|Data and Data Analytics – A Primer||Correlation Analysis|
|Descriptive Statistics||Analysis of Variance (ANOVA)|
|Probability and Probability Descriptions||Regression Analysis – A Primer|
|Sampling Distribution and Central Limit theorem||Bivariate Regression – Specification and Estimation|
|Hypothesis Testing||Bivariate Regression – Testing and Inferences|
|Testing Means||Multiple Regression – Specification and Estimation|
|Testing Proportion||Multiple Regression – Testing and Inferences|
|2-3 August 2023||8.30 am – 5.00 pm|
For more information, you can visit https://www.libf.ac.uk/study/professionalqualifications/
|Package||Life student||General Public|
Download Brochure Here