The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases.

In this module you will learn the basic concepts of using Python to connect to databases. In a Jupyter Notebook, you will create tables, load data, query data using SQL magic and SQLite python library.

Unlock the power of Applied Data Analytics with Python and SQL, gaining hands-on experience in data manipulation, querying, and analysis. This course will teach you how to efficiently use Python for processing and analyzing data, while leveraging SQL to manage and query databases.

This module will take an in-depth look at how to use the powerful Python libraries pandas and NumPy to perform key tasks such as loading, querying, cleaning, summarizing, and visualizing data.

In this module, you will learn how to use Python scripting techniques to work with SQL. You will create a database, store data, and query that data with SQL from Python.

Transform you career with Coursera's online SQL courses. Enroll for free, earn a certificate, and build job-ready skills on your schedule. Join today!

Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes.

Apr 8, 2025 · How long it takes you to learn Python will depend on several factors, including how much Python you need to know to achieve your desired goal. In general, it takes around two to six months to learn the fundamentals of Python.

Feb 4, 2025 · Data analysts use SQL (Structured Query Language) to communicate with databases, but when it comes to cleaning, manipulating, analyzing, and visualizing data, you’re looking at either Python or R.