Engineering and Technology
This course is an introduction to version control with Git for data scientists.
Version control is a fundamental tool in the realm of programming, enabling efficient tracking of actions, easy reversal of undesired changes, and seamless collaboration on a large scale. This course serves as an introduction to Git, a contemporary version control tool highly favored by data scientists and software developers. By mastering Git, you will enhance your productivity, accomplish tasks more swiftly, and minimize frustrations.
by DataCamp
This course is an introduction to version control with Git for data scientists.
by DataCamp
Learn how to use GitHub's various features, navigate the interface and perform everyday collaborativ...
by DataCamp
Learn how to use MLflow to simplify the complexities of building machine learning applications. Expl...
by DataCamp
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R w...
by DataCamp
Master the basics of data analysis with Python in just four hours. This online course will introduce...
by DataCamp
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
by DataCamp
Learn how to implement and schedule data engineering workflows.
by DataCamp
Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algori...
by DataCamp
Learn about AWS Boto and harnessing cloud technology to optimize your data workflow.
by DataCamp
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across...