Use these data analytics portfolio project ideas for beginners to build your own, and get some expert advice for your data portfolio in this guide.
You shouldn’t limit yourself to these five projects, of course. I strongly advise you to come up with your owndata analytics project ideas. When you think of a project, think of the following: Goal:The project's goal should be to create something using modern data science and something t...
This project begins by collecting extensive datasets on climate variables (temperature, precipitation, etc.) and agricultural production (crop yields, livestock data) from various sources. Advanced data analytics and ML models are employed to identify patterns and correlations between climate change and ...
This project offers a robust data pipeline solution designed to efficiently extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. Leveraging a blend of industry-standard tools and services, the pipeline ensures seamless data processing and integration. ...
Choosing what to include in your data science portfolio during the job search is the most important part of the process. Each project should be well-structured so that a hiring manager can assess your skills quickly. To help you get started, we highlight
Apache Hama Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce. Weka Weka is a collection of machine learning algorithms for data mining tasks. Octave GNU Octave is a high-level interpreted language, primarily intended for numerical compu...
Apache Hama Apache Hama is an Apache Top-Level open source project, allowing you to do advanced analytics beyond MapReduce. Weka Weka is a collection of machine learning algorithms for data mining tasks. Octave GNU Octave is a high-level interpreted language, primarily intended for numerical compu...
Ten Most Popular Python Libraries for Data Analytics Python is a high-level, object-oriented programming language that’s popular among those working with data. It has a variety of libraries that can be used for data visualization: Plotly: This graphic library can create a variety of interactive...
A revised and expanded version of the peterjamesthomas.comData and Analytics Dictionaryhas been published. The previous Dictionary was not the easiest to read on mobile devices. Because of this, the layout has been amended in this release and the mobile experience should now be greatly enhanced....
2.3. Big Data Analytics to Improve Public Health and Chronic Diseases A major focus of this theme is on how big data analytics can improve public health and chronic diseases [21,22,23,24,25,26]. The first paper, “Study on the Impact of Income Gap on the Health Level of Rural Resident...