DataCamp – Introduction to Databases in PythonCourses / Interactive tutorial style course
From DataCamp: “In this Python SQL course, you’ll learn the basics of using Structured Query Language (SQL) with Python. This will be useful since whether you like it or not, databases are ubiquitous and, as a data scientist, you’ll need to interact with them constantly. The Python SQL toolkit SQLAlchemy provides an accessible and intuitive way to query, build & write to SQLite, MySQL and Postgresql databases (among many others), all … Continue Reading
DataQuest – Working with Large DatasetsCourses / Interactive tutorial style course
This is step 9 of 11 in the DataQuest Data Scientist Path. “Learn topics like Map-Reduce and Spark to process large datasets.” The curriculum for this step includes: Introduction to Spark Spark Installation and Jupyter Notebook Integration Transformations and Actions Spark DataFrames Spark SQL
DataQuest – Working with Data SourcesCourses / Interactive tutorial style course
This course is step 4 of 6 in the DataQuest Data Analyst Path step 4 of 11 in the DataQuest Data Scientist Path. “Learn about working with data in different locations, including databases and on the web.” The curriculum for this step includes the following: APIs and Web Scraping: Working with APIs Intermediate APIs Web Scraping SQL and Databases: Beginner Introduction to SQL Logical Operators and Ordering Querying SQLite from Python … Continue Reading
Data Science For DummiesBooks / physical books or multiple formats
From uncovering rich data sources, to managing large amounts of data within hardware and software limitations, and beyond, you’ll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization.
Data Science from Scratch: First Principles with PythonBooks / physical books or multiple formats
In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.