| Category | Assignment | Subject | Computer Science |
|---|---|---|---|
| University | University of salford | Module Title | Big data tools and techniques |
| Assignment Title: | Clinical Trial Data Analysis and Pharmaceutical Insights |
| Word Limit: | 1200 Words |
This assignment, “Clinical Trial Data Analysis and Pharmaceutical Insights,” focuses on clinical trial data analysis using PySpark SQL, a powerful tool for big data processing. Task 1 is a mandatory section that begins with the given assignment. The setup includes the environment and tools needed to handle large datasets effectively.
The main part of the assignment is data cleaning and preparation, which are essential steps in big data analysis. It begins with a detailed description of the initial dataset, followed by step-by-step data cleaning procedures. All of these steps were implemented using PySpark SQL to ensure that the data was in the correct form, clean, and accurate enough for further analysis. The students will gain practical experience with managing big data environments and transforming raw clinical data into meaningful insights through this assignment. Such knowledge and skills will be invaluable for the operations of working with real-world pharmaceutical data and gaining actionable insights.
Task 1: Compulsory Part
1 1. Description of Setup
1 2. Data Cleaning and Preparation
Question 1
Question 2
Task 2: Machine Learning Implementation
1. Description of Setup
2. Loading Data and Exploratory Analysis
3. Data Preparation and Pre-Processing
4. Model Training and Evaluation .
Discussion of Results
Reference
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