Sofvie Inc. Flask/Python SQL Website Development Project
The main goal for the project is to develop a website using Python and Flask with SQL for Sofvie Inc. The website will serve as a platform to enable the workforce in their operational excellence journey. The project will involve the following tasks for the back end developer: - Collaborating with the team to understand the company's mission and goals. - Building modules for the website using Python and Flask. - Integrating SQL for database management. - Ensuring the website is user-friendly and aligns with the company's vision for operational excellence.
Health Dashboard in Python/Flask
The project scope entails the development of a Python/Flask application for a health-related purpose, which will include the implementation of various charts. Learners participating in this project will have the opportunity to engage in a real-world application development scenario, focusing on data analysis and visualization within the context of health data. The dataset analysis will aim to provide insightful information that can significantly impact business outcomes and drive strategic decision-making. Throughout the project, learners will gain practical experience in data handling, analysis, and visualization using Python and Flask. They will be tasked with extracting valuable insights from the datasets, identifying trends, patterns, and correlations that could potentially contribute to improving processes and enhancing overall understanding within the health domain. Furthermore, learners will have the opportunity to contribute to the development of the app, implementing charts and visual representations to effectively communicate the findings derived from the dataset analysis. Participation in this project will provide learners with a comprehensive understanding of data analysis methodologies, emphasizing the significance of accurate interpretation and effective communication of findings. Additionally, learners will acquire valuable experience in utilizing Python and Flask for application development in the health sector, which can serve as a solid foundation for future career prospects in the fields of data science, software development, and health technology. The exposure to practical application development within the context of a health-related project will enable learners to refine their skills and foster a deeper understanding of the intersection between data analysis, technology, and healthcare, thereby preparing them to make meaningful contributions in the evolving landscape of the health industry.
Sofvie Inc. API Documentation and Roadmap Project
The main goal of this project is to create documentation, feature lists, gaps and a development plan for Sofvie Inc.'s APIs. This will involve several different steps for the students, including: - Analyzing Sofvie Inc.'s existing APIs. - Developing a comprehensive documentation and feature list for each API. - Identifying gaps in the existing APIs and developing a plan to address them. - Developing a roadmap for future development of the APIs.
Sofvie Inc. Data Analysis API Project
The main goal of this project is to build API's in Python that connect to a SQL database and help analyze data in various ways. This will involve several different steps for the students, including: - Understanding the existing database structure and data. - Developing API's to access and manipulate data from the database. - Creating algorithms to analyze data in various ways. - Optimizing software runtime performance and assessing areas for improvement. - Researching other variables that can improve the quality of data analysis. - Testing the developed software and making improvements based on additional data.
Data Science Internship with Sofvie
The main goal of this data science internship with Sofvie is to analyze and explore occupational health and safety data in order to gain insights that will help improve workplace safety and reduce the likelihood of accidents or injuries. The data science interns will be expected to develop data models, perform data cleaning and analysis, and create data visualizations that will help identify patterns and trends in the data. The ultimate outcome is to use these insights to inform data-driven decisions that can enhance workplace safety and protect employee health.
Explore data possibilities
The main goal of the Explore Data Possibilities project is to gather information from various sources and build APIs that can be used to develop metrics for Sofvie's products. The data science team is looking to research and understand the types of data that can be brought in from various industries, including the mining industry, to build better and more informed products. The outcome of the project is to identify new sources of data, assess their relevance, and develop metrics that can be used to improve products and services provided by Sofvie. The project also aims to improve the process of ingesting, processing, and serving data to both internal and external stakeholders. Ultimately, the goal is to enhance Sofvie's ability to deliver high-quality products that meet the needs of its clients.
Create PowerBI Dashboard templates
The main goal of the project is to develop Power BI dashboards that can retrieve data from various API endpoints created by the data science team at Sofvie. The aim is to create customizable templates that can be used by clients to create their own dashboards. The problem that the students will be solving is to design and implement a user-friendly and efficient dashboard that can display relevant data insights to the clients. The expected outcome is a functional and scalable dashboard solution that meets the needs of our clients.
Health and Wellness Scorecard Website
The main goal of this project is to develop a web application that provides employees, companies, and administrators with a health scorecard based on four metrics. The health scorecard will be generated using data from previous health assessments and will provide a comprehensive overview of an employee's health status. The aim is to improve the health and well-being of employees by providing them with a tool that allows them to track and understand their health metrics, and to help companies and administrators make informed decisions about the health and well-being of their employees.
Sofvie UX UI for Website and Web App
The main goal for the Sofvie UX/UI for Website and Web App project is to enhance the user experience and interface of the website and web application. A team of students will work together over a seven-week period to understand and solve a UX/UI design problem faced by the company. The students will use their design thinking, research, and teamwork skills to identify areas for improvement and suggest solutions that will result in a more user-centered design. The expected outcome is an improved and more user-friendly website and web app that better serves the needs of its users.
Data to map the energy sector
The main goal for the project is to create an analysis of companies involved in the energy sector using publicly available data. The students are expected to collect and organize data from various sources to create a comprehensive map of the energy sector. The outcome of the project should be a detailed analysis of the companies involved in the energy sector. This data will then be used by the data science and marketing teams. This analysis will provide valuable insights for the company, helping it make informed decisions about investments and partnerships in the energy sector.
Evaluate cloud software for analytics
The main goal of the project is to evaluate and compare the pros and cons of using AWS or Google Cloud for hosting analytics APIs and software versus developing in-house APIs using Python and FastAPI. The outcome expected by the end of the project is to make an informed decision on the best approach for the company, considering factors such as cost, long term scalability, security, performance, and ease of maintenance.
Strategic data science software development roadmap - features and ideas
The main goal for this project is to develop a strategic data science software development roadmap for Sofvie, a company that specializes in occupational health and safety. The goal is to identify research questions of interest and set a roadmap for the development of future modules. The problem that students will be solving is to determine how the various elements that Sofvie works with can be integrated to support the data science team in their efforts to improve occupational health and safety. This will involve hypothesis testing to see if variables are related and describing ideas for future modules at the intersection of our data (what we can figure out) and helping build future development plans. This roadmap will include specific modules and features that can be implemented in the future, and will be based on research questions of interest and the integration of various elements that Sofvie works with.
Refactoring and Documentation of Python Code
The main goal for this project is to improve the maintainability and understandability of an existing Python codebase by refactoring and documenting it. The problem that students will be solving is to take existing code that may be difficult to understand or modify, and make it more organized, efficient, and clear. By the end of the project, students should have improved the codebase so that it is easier for other developers to understand and work with, and more likely to be sustained in the long term. The outcome that is expected to be achieved for the company by the end of the project is a more robust and maintainable codebase that can be more easily updated and extended to meet new requirements.
Data Science Team HR
The main goal for the project is to gain insight into the HR aspect of the data science team, including roles and tasks. The project will likely involve researching and analyzing data related to data science team dynamics, and may include interviews with team members to gather more information. The end goal is to help Sofvie improve the efficiency and effectiveness of their data science team.
Time series analysis
For this project, students will be tasked with using Python, SQL, and PySpark to analyze occupational health and safety data and make predictions. The goal of the project is to use time series analysis techniques to identify trends and patterns in the data, and to develop models that can be used to make informed predictions about future incidents and accidents. Once the data has been analyzed, students will need to use time series analysis techniques to identify trends and patterns, and to develop predictive models that can be used to forecast future incidents and accidents. These models may be implemented using machine learning algorithms or other statistical methods. Finally, students will need to present their findings and recommendations to stakeholders, possibly in the form of a report or presentation. This may involve creating visualizations or dashboards to help communicate the results of the analysis.
Generating interactive network graphs in Python
The main goal of this project is to create interactive network graphs in Python using JSON data and serve them through FastAPI and the web. The students will be expected to use their programming skills to extract and process the data from the JSON files, and then use a library such as NetworkX or Plotly to create the network graphs. They will also need to implement the necessary code to serve the graphs through FastAPI and the web, possibly using a framework like Flask. The end result should be a set of interactive network graphs that can be accessed and interacted with through a web interface.