Coursera – Applied Data Science with R Specialization 2024-2

Applied Data Science with R Specialization. This comprehensive course teaches the essential skills to transform raw data into valuable insights using R and SQL. Participants in this course learn how to collect and process sparse and heterogeneous data to achieve actionable, usable results. The specialization consists of five online courses that cover topics such as data preparation, statistical analysis, predictive modeling, and working with relational databases. Throughout the course, tools such as R Studio, Jupyter Notebooks, and popular R libraries such as dplyr, Tidyverse, ggplot2, and Shiny are used to give participants hands-on experience with real data. At the end of the course, a final project is designed that applies all the learning in the form of a real-world challenge involving data collection, analysis, hypothesis testing, visualization, and modeling. This course is suitable for people who want to enter the field of data science or strengthen their skills in this field and, by completing practical projects, create suitable portfolios for their presence in the job market.

What you will learn:

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

Who is this course suitable for?

• People who are interested in learning data science.
• Those looking to acquire the necessary skills to enter the field of data science.
• People who want to use R and SQL for data analysis.
• Those who want to develop their skills to become an entry-level data scientist.