PST107 - Problem Based Data Analysis Project - IT Assignment Help

Assignment Task -                 
 

Learning Outcomes

a) Recognise the fundamentals of probability theory and its  application 

b) Identify probability laws via Bayes’ rule and use method of  moments generating functions 

c) Explain the concepts of statistical distribution and statistical  inference. 

d) Examine standard uni-variate distribution and their key  properties 

e) Relate data and represent data through data analysis f) Interpret data using statistical methods using statistical  tools and apply method of maximum likelihood estimation

Context 

This assessment has been designed to assess your ability of choosing and employing the best  statistical methods and tools to analyse simplified real-world datasets. You will be playing the role of  a data scientist in this assessment to perform(EDA). EDA allows data  scientists to summarise the main characteristics of a dataset, which is usually done using a wide  range of statistical approaches and visualisations. EDA is also very helpful for analysing data before  using any Artificial Intelligence (AI) or Machine Learning (ML) to ensure that their results will be  valid.  

In this assessment, we will be using (or other similar repositories recommended by your  learning facilitator), which is an online community of AI, ML, and data science experts and  enthusiasts. You are supposed to thoroughly analyse one of the datasets in this website using the  statistical techniques that you learned in this subject.

Task Summary 

As mentioned above, you have to first choose a dataset from Kaggle or other similar websites recommended by your learning facilitato As the only limitation, the dataset  must have at least four columns (features). To avoid similar submissions, the dataset should be  checked with your learning facilitator. In some trimesters, the learning facilitator might assign you a  specific dataset. After the approval of the dataset you will then have to analyse the dataset using the  following statistical methods:  

1 Univariate analysis 

2 Bivariate analysis  

3 Distribution analysis  

4 Mean, Median, Standard deviation 

5 Inference and parameter estimation  

6 Correlation analysis 

7 Hypothesis testing  

8 Visualisation  

When you finish applying these methods, you are required to write a document with a minimum of  1500 words to explain the statistical methods you used and the conclusion that can be drawn from  your dataset based on the methods you applied. You are writing this report for someone who wants  to understand this dataset. In other words, you are trying to tell a story with data, analysis, and  visualisation. Please do not forget to use as many visualisations as you can to make your report more  engaging.

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