Engineering and Technology
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.
In the field of data science, a crucial responsibility is comprehending the correlation between the physical location of data and its geographical context. This course aims to equip you with the skills to create visually appealing representations of geospatial data using the GeoPandas package. Through this course, you will gain proficiency in spatially joining datasets, thereby establishing connections between data and its contextual information. Additionally, you will learn how to overlay geospatial data onto maps, enhancing the spatial cues in your work. To facilitate your learning, various datasets from the City of Nashville's open data portal will be utilized. These datasets will enable you to explore intriguing aspects such as the distribution of chickens in Nashville and the neighborhoods with the highest concentration of public art.
by DataCamp
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package...
by DataCamp
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps...
by DataCamp
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
by DataCamp
Visualize seasonality, trends and other patterns in your time series data.
by DataCamp
Learn how to visualize time series in R, then practice with a stock-picking case study.
by DataCamp
Learn survey design using common design structures followed by visualizing and analyzing survey resu...
by DataCamp
Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful an...
by DataCamp
Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and mor...
by DataCamp
Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
by DataCamp
Explore HR data analysis in Tableau with this case study.