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Data science courses

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67 results

Introduction to Python

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

ClockOver 3 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Introduction to R

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

ClockOver 3 hoursTagProgrammingUserJonathan CornelissenLearncourses

Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

ClockOver 3 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Introduction to Functions in Python

Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.

ClockOver 3 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Intermediate R

Continue your journey to becoming an R ninja by learning about conditional statements, loops, and vector functions.

ClockOver 3 hoursTagProgrammingUserFilip SchouwenaarsLearncourses

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

ClockOver 3 hoursTagProgrammingUserDavid RobinsonLearncourses

Python Toolbox

Continue to build your modern Data Science skills by learning about iterators and list comprehensions.

ClockOver 3 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid unnecessary overhead.

ClockOver 3 hoursTagProgrammingUserLogan ThomasLearncourses

Introduction to Git

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

ClockOver 3 hoursTagProgrammingUserGeorge BoormanLearncourses

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.

ClockOver 3 hoursTagProgrammingUserHillary Green-LermanLearncourses

Object-Oriented Programming in Python

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and optimize code.

ClockOver 3 hoursTagProgrammingUserAlex YaroshLearncourses

Intermediate Python for Developers

Dive into the Python ecosystem, discovering modules and packages along with how to write custom functions!

Clock2-3 hoursTagProgrammingUserGeorge BoormanLearncourses

Introduction to SQL Server

Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.

ClockOver 3 hoursTagProgrammingUserDataCamp Content CreatorLearncourses

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good documentation.

ClockOver 3 hoursTagProgrammingUserShayne MielLearncourses

Introduction to Shell

The Unix command line helps users combine existing programs in new ways, automate repetitive tasks, and run programs on clusters and clouds.

ClockOver 3 hoursTagProgrammingUserFilip SchouwenaarsLearncourses

Data Structures and Algorithms in Python

Explore data structures such as linked lists, stacks, queues, hash tables, and graphs; and search and sort algorithms!

ClockOver 3 hoursTagProgrammingUserMiriam AntonaLearncourses

Introduction to Docker

Gain an introduction to Docker and discover its importance in the data professional’s toolkit. Learn about Docker containers, images, and more.

ClockOver 3 hoursTagProgrammingUserTim SangsterLearncourses

GitHub Concepts

Learn how to use GitHub's various features, navigate the interface and perform everyday collaborative tasks.

Clock2-3 hoursTagProgrammingUserJasmin LudolfLearncourses

Software Engineering Principles in Python

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

ClockOver 3 hoursTagProgrammingUserAdam SpannbauerLearncourses

Intermediate SQL Server

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analysis.

ClockOver 3 hoursTagProgrammingUserGinger GrantLearncourses

Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

ClockOver 3 hoursTagProgrammingUserMaria Eugenia InzaugaratLearncourses

Developing Python Packages

Learn to create your own Python packages to make your code easier to use and share with others.

ClockOver 3 hoursTagProgrammingUserJames FultonLearncourses

Data Types in Python

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples, leveraging them to solve Data Science problems.

ClockOver 3 hoursTagProgrammingUserJason MyersLearncourses

Building Web Applications with Shiny in R

Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.

ClockOver 3 hoursTagProgrammingUserRamnath VaidyanathanLearncourses