Engineering and Technology
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.
This course aims to enhance your proficiency in Google Sheets by broadening your understanding of its features. Throughout the course, you will delve into various data types, refine your skills in manipulating numeric and logical data, examine missing data and error types, and learn how to calculate summary statistics. Additionally, you will have the opportunity to explore diverse datasets, including those related to 100m sprint world records, asteroid close encounters, benefit claims, and butterflies. By the end of this course, you will have significantly expanded your knowledge and capabilities in utilizing Google Sheets effectively.
by DataCamp
Expand your spreadsheets vocabulary by diving deeper into data types, including numeric data, logica...
by DataCamp
Improve your Python data importing skills and learn to work with web and API data.
by DataCamp
Build multiple-input and multiple-output deep learning models using Keras.
by DataCamp
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-bas...
by DataCamp
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world us...
by DataCamp
Learn how to clean data with Apache Spark in Python.
by DataCamp
Master the complex SQL queries necessary to answer a wide variety of data science questions and prep...
by DataCamp
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples,...
by DataCamp
Learn to create your own Python packages to make your code easier to use and share with others.
by DataCamp
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.