Applied Data Science with R

This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data analysis process, including data preparation, statistical analysis, and predictive modeling. You will also be able to create relational databases and query the data using SQL and R and communicate your data findings using data visualization techniques

• Perform basic R programming tasks like working with data structures, data manipulation, using APIs, webscraping, and using R Studio and Jupyter
• Create relational databases and tables, load them with data from CSV files, and query data using SQL and R using JupyterLab
• Complete the data analysis process, including data preparation, statistical analysis, and predictive modeling
• Communicate data analysis findings with data visualization charts, plots, and dashboards using libraries such as ggplot, leaflet and R Shiny

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities