Category | Assignment | Subject | Computer Science |
---|---|---|---|
University | University of salford | Module Title | Big data tools and techniques |
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.
UPTO55%
Avail The Benefit Today!
To View this & another 50000+ free
Are you struggling with your Big Data tools and techniques assignment? Then our expert PhD writers will guide you to get the solution for your work. Whether it is data mining machine learning dissertation, or even complex concepts, our team is ready to deliver accurate, high-quality solutions for you. We provide online assignment help With in-depth knowledge and years of experience we are able to deliver customized samples according to your needs. From data analysis methods to some practical applications, we cover all the important places where you will perform well. Need Computer Science assignment help in UK? Trust us for timely and professional help that ensures clarity and accuracy. Choose expert-written solutions for a successful academic life.
Let's Book Your Work with Our Expert and Get High-Quality Content