Python

Skills taught include many Data Science skills including, but not limited to, Python, R, Javascript, Excel, and Statistics. LinkedIn learning is free as long as you connect with the LinkedIn account using the University’s email system and you will be able to access the courses free of charge.

Python is the most popular programming language across all boards because it is general and versatile. Learning Python will be a good foundation for Data Scientists. 25 hours to complete and self-paced.

A beginner course for learning how to analyze and visualize earth and environmental science data using Python. Get familiar with a suite of open source tools often used in open reproducible science workflows including bash, git/GitHub, and Jupyter Notebook. No prerequisites required.

A set of tutorials, videos, and challenges composed by the University of Helsinki in order to help students better understand the fundamental concepts of coding and learning the Python language. The course is organized by the Department of Geosciences and Geography and is composed of specific tutorials and data tasks.

This introductory course goes over Python basics, manipulating lists, functions and packages, Numerical Python, different types of data visualizations, and Panda DataFrame—the key data structure for Data Science in Python. 6 weeks with 2-4 hours per week to complete. Self-paced.

This 3 module course involves a very basic overview of data science. This course goes over some applications of Python (no prior knowledge of Python required). Self-paced.

Online resource for lessons on Data and Software training. Their lessons are compiled on their website and function through Github. They also have workshops taught by instructors. Lessons are self-paced and available for free. Lessons last from 2-10 hours depending on which lesson is chosen. Introduction to programming with Python with those who have little experience doing programming in Python.

This is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding.

An intermediate and multidisciplinary online course that teaches students to use the analytical tools necessary to undertake exploration of heterogeneous “big” scientific data. Assumes prior knowledge of Python, git/GitHub, and Jupyter Notebook. Highly technical.

An online resource for lessons on Data and Software training. Their lessons are compiled on their website and function through Github. They also have workshops taught by instructors. Course built around doing simple Data Analysis of a real world data set using Python.

Commerce Data Academy (CDA) is a set of tutorials originally accumulated in order to teach employees at the Department of Commerce standard programming, Data Science, and computational skills. Learn basic syntax and how to get up running with Python 2.7.

Where the lessons that are completed at Github can be followed and/or referenced to. There are physical workshops but the course is open and can be completed accordingly.

A channel that is focused on creating tutorials and walkthroughs for software developers, programmers, and engineers.

Includes video lectures on Python.

Comprehensive video courses covering many coding languages such as Python and Java for beginners.

Covers content from introduction material on data analytics and geostatistics to spatial data analytics to machine learning. He also covers various programming languages like R and Python while also giving lectures on how to apply them using real-world data.

A tutorial covering basic Python programming such as scripting, lists and indexing, basic flow control, objects, and string manipulation.

Gives access to extra tutorials and instructional lessons that help supplement the instruction portion of the course while including other informational videos about Comp. Sci. topics.

Tutorials on topics such as basics of R, Python, data manipulation and visualisation, modelling, spatial data, Google Earth Engine, and Fortran.

Geostats guy a.k.a Michael Pyrcz is an Associate Professor and University of Texas at Austin. He is also the principal investigator at the Texas Center for Geostatistics. A set of python demos in Jupyter Notebooks for statistical and geostatistical methods.

A cache of free online courses, tutorials, and tools for analyzing earth science data in R and Python. Created by the Earth Lab at CU Boulder.

An organization that was forged to help those trying to learn programming and web development processes. Python, Javascript, CSS, SQL, and HTML tutorials on their platform that are taken at your own pace.

A set of python utilities to support the integration of python Data Analytics, Data Mining and Machine Learning into geostatistical workflows. Go along with his recorded lectures.

Skills taught include many Data Science skills including, but not limited to, Python, R, Javascript, Excel, and Statistics. LinkedIn learning is free as long as you connect with the LinkedIn account using the University’s email system and you will be able to access the courses free of charge.

Python is the most popular programming language across all boards because it is general and versatile. Learning Python will be a good foundation for Data Scientists. 25 hours to complete and self-paced.

A beginner course for learning how to analyze and visualize earth and environmental science data using Python. Get familiar with a suite of open source tools often used in open reproducible science workflows including bash, git/GitHub, and Jupyter Notebook. No prerequisites required.

A set of tutorials, videos, and challenges composed by the University of Helsinki in order to help students better understand the fundamental concepts of coding and learning the Python language. The course is organized by the Department of Geosciences and Geography and is composed of specific tutorials and data tasks.

Explore a variety of workshops that cover a wide range of topics from finding and managing data to spatial data analysis. Learn how to perform a specific workflow using a specific tool that is commonly used in the earth data science field.

This handcrafted guide exists to provide both novice and expert Python developers a best practice handbook to the installation, configuration, and usage of Python on a daily basis.

Learn how to plot using key packages for plotting in Python including matplotlib. This is an ongoing textbook—more sections to be added.

Explore and utilize a variety of free computing tools to access and manipulate data. Includes custom pre-set docker containers that have a set of software programs, libraries, and tools to process data.