Bioinformatics Network Recommendations Part 3 - Data Science


 Data science

Data Science: Foundations using R Specialization
This Specialization covers foundational data science tools and techniques, including getting, cleaning, and exploring data, programming in R, and conducting reproducible research.
https://www.coursera.org/specializations/data-science-foundations-r#courses

Introduction to Data Science Specialization
The specialization entails understanding what is Data Science and the various kinds of activities that a Data Scientist performs. It will familiarize learners with various open source tools, like Jupyter notebooks, used by Data Scientists.
https://www.coursera.org/specializations/introduction-data-science

Genomic Data Science Specialization
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
https://www.coursera.org/specializations/genomic-data-science

Data Science: Statistics and Machine Learning Specialization
This specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products
https://www.coursera.org/specializations/data-science-statistics-machine-learning

Introduction to R
In Introduction to R, you will master the basics of this widely used open source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis.
https://learn.datacamp.com/courses/free-introduction-to-r

Introduction to Python
Python is a general-purpose programming language that is becoming ever more popular for data science. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Unlike other Python tutorials, this course focuses on Python specifically for data science. In our Introduction to Python course, you’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.
https://learn.datacamp.com/courses/intro-to-python-for-data-science

Codecademy - Learn Python 2
Interactive lessons and problems of increasing complexity. Learn syntax. Directly use the interface to run Python.
https://www.codecademy.com/learn
Codecademy - Learn R
Interactive lessons and problems of increasing complexity. Learn syntax. Directly use the interface to run R scripts.
https://www.codecademy.com/learn

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