data analytics -- 2
Budget: $30 – $250 USD
Exploratory data analysis is used by many individuals within the healthcare field, including clinical data analysts, pharmaceutical testers, healthcare-economics researchers, senior policy analysts, compliance operations analysts, and public health informatics scientists.
Exploratory data analysis is important for understanding the following healthcare considerations
Predicting and diagnosing illnesses while using the following tools:
Project ideation
Data fetching/API integration
Data analysis
Testing
Visualizations (20 points)
6–8 visualizations of data (at least two per question) (10 points)
Clear and accurate labeling of images (5 points)
Visualizations supported with ample and precise explanation (5 points)
Analysis and Conclusion (20 points)
Write-up summarizes major findings and implications at a professional level (5 points)
Each question in the project proposal is answered with precise descriptions and findings (5 points)
Findings are strongly supported with numbers and visualizations (5 points)
Each question response is supported with a well-discerned statistical analysis from lessons (e.g., aggregation, correlation, comparison, summary statistics, sentiment analysis, and time series analysis) (5 points)
Exploratory data analysis is important for understanding the following healthcare considerations
Predicting and diagnosing illnesses while using the following tools:
Project ideation
Data fetching/API integration
Data analysis
Testing
Visualizations (20 points)
6–8 visualizations of data (at least two per question) (10 points)
Clear and accurate labeling of images (5 points)
Visualizations supported with ample and precise explanation (5 points)
Analysis and Conclusion (20 points)
Write-up summarizes major findings and implications at a professional level (5 points)
Each question in the project proposal is answered with precise descriptions and findings (5 points)
Findings are strongly supported with numbers and visualizations (5 points)
Each question response is supported with a well-discerned statistical analysis from lessons (e.g., aggregation, correlation, comparison, summary statistics, sentiment analysis, and time series analysis) (5 points)