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.
Some points apply to every course of this kind; see how we rank.
IBM is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (84/100).
This is CS50’s introduction to databases using a language called SQL. Learn how to create, read, update, and delete data with relational databases, which store data in rows and columns. Learn how to model real-world entities and relationships among them using tables with appropriate types, triggers…
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
Harvard University · edX
An introduction to the intellectual enterprises of computer science and the art of programming.
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
https://15445.courses.cs.cmu.edu/fall2019/ Carnegie Mellon University 15-445/645 Intro to Database Systems Fall 2019
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
