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Data science courses

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65 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.

Clock4 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.

Clock4 hoursTagProgrammingUserJonathan CornelissenLearncourses

Intermediate Python

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

Clock4 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

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.

Clock4 hoursTagProgrammingUserDavid RobinsonLearncourses

Python Data Science Toolbox (Part 1)

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

Clock3 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

Intermediate R

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

Clock6 hoursTagProgrammingUserFilip SchouwenaarsLearncourses

Python Data Science Toolbox (Part 2)

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

Clock4 hoursTagProgrammingUserHugo Bowne-AndersonLearncourses

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.

Clock4 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.

Clock4 hoursTagProgrammingUserHillary Green-LermanLearncourses

Introduction to PySpark

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

Clock4 hoursTagProgrammingUserNick SolomonLearncourses

Writing Efficient Python Code

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

Clock4 hoursTagProgrammingUserLogan ThomasLearncourses

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.

Clock4 hoursTagProgrammingUserDataCamp Content CreatorLearncourses

Object-Oriented Programming in Python

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

Clock4 hoursTagProgrammingUserAlex YaroshLearncourses

Writing Functions in Python

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

Clock4 hoursTagProgrammingUserShayne MielLearncourses

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.

Clock4 hoursTagProgrammingUserDataCamp Content CreatorLearncourses

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.

Clock4 hoursTagProgrammingUserTim SangsterLearncourses

Data Structures and Algorithms in Python

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

Clock4 hoursTagProgrammingUserMiriam AntonaLearncourses

Introduction to Google Sheets

Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

Clock2 hoursTagProgrammingUserJames ChapmanLearncourses

Software Engineering Principles in Python

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

Clock4 hoursTagProgrammingUserAdam SpannbauerLearncourses

Data Types for Data Science in Python

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

Clock4 hoursTagProgrammingUserJason MyersLearncourses

Intermediate SQL Server

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

Clock4 hoursTagProgrammingUserGinger GrantLearncourses

Introduction to Bash Scripting

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Clock4 hoursTagProgrammingUserAlex ScrivenLearncourses

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.

Clock4 hoursTagProgrammingUserkaelen medeirosLearncourses