Engineering and Technology
Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreSQL.
The primary responsibility of a data scientist is to transform unprocessed data into valuable insights that can be acted upon. In today's world, a vast amount of raw data exists in structured databases, encompassing various domains like electronic medical records and customer transaction histories. To excel in the field of data science, it is crucial to possess the skills to efficiently manipulate and extract data from these databases using SQL, a widely-used language. This comprehensive course focuses on teaching the syntax of SQL, which is applicable across multiple database systems including PostgreSQL, MySQL, SQL Server, and Oracle. By the end of this course, you will have acquired all the essential knowledge required to commence working with databases proficiently.
by DataCamp
Master the basics of querying tables in relational databases such as MySQL, SQL Server, and PostgreS...
by DataCamp
Accompanied at every step with hands-on practice queries, this course teaches you everything you nee...
by DataCamp
Master the complex SQL queries necessary to answer a wide variety of data science questions and prep...
by DataCamp
In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data analys...
by DataCamp
Learn about the world of data engineering in this short course, covering tools and topics like ETL a...
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
Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuples,...