Tag: databases

Enterprise Data World

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Next Event: April 27-28, 2018 San Francisco, CA “The 21st Annual Enterprise Data World (EDW) Conference is recognized as the most comprehensive educational conference ondata management in the world. Your Transformation to Data-Driven Business Starts Here!” 2018 Registration Videos from previous conferences

Databases (Stanford University)

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This Database course from Stanford University consists of a set of “mini-courses” that are “based around video lectures and/or video demos. Many of them include in-video quizzes to check understanding, in-depth standalone quizzes, and/or a variety of automatically-checked interactive programming exercises. Each mini-course also includes a discussion forum and pointers to readings and resources.” The courses are organized into suggested pathways, as follows: Practical Relational Databases and SQL Practical Relational Databases and SQL … Continue Reading

Codecademy – Learn SQL

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From Codecademy: “In this course, you’ll learn how to communicate with relational databases through SQL. You’ll learn–and practice with 4 projects–how to manipulate data and build queries that communicate with more than one table. Why learn SQL? We live in a data-driven world: people search through data to find insights and inform strategy, marketing, operations, and a plethora of other categories. There are a ton of businesses that use large, … Continue Reading

The Complete SQL Bootcamp

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From Udemy: “You’ll learn how to read and write complex queries to a database using one of the most in demand skills – PostgreSQL. These skills are also applicable to any other major SQL database, such as MySQL, Microsoft SQL Server, Amazon Redshift, Oracle, and much more. Learning SQL is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In … Continue Reading

EuroPython

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2017 Event: July 9 -16 – Rimini, Italy EuroPython is the largest Python conference in Europe. Follow EuroPython‘s blog to stay up-to-date on upcoming events! EuroPython 2017 Live Streams

PyData Berlin

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2017 Event: June 30- July 2 From PyData Berlin:  “PyData brings together both users and developers of data analysis tools to share ideas and learn from each other. The goals are to provide data science enthusiasts, across various domains, a place to discuss how best to apply languages and tools to the challenges of data management, processing, analytics, and visualization.” 2017 Talk and Tutorial Schedule  

Intro to SQL: Querying and managing data

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From Khan Academy: “Learn how to use SQL to store, query, and manipulate data. SQL is a special-purpose programming language designed for managing data in a relational database, and is used by a huge number of apps and organizations.” The course includes the following steps: SQL basics – “We’ll show you the basics of creating tables and selecting data in various different ways.” More advanced SQL queries – “Learn how … Continue Reading

Advanced SQL for Data Scientists

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From LinkedIn: “There is an increased need for data scientists and analysts to understand relational data stores. Organizations have long used SQL databases to store transactional data as well as business intelligence related data. If you need to work with SQL databases, this course is designed to help you learn how to perform common data science tasks, including finding, exploration, and extraction within relational databases. The course begins with a brief … Continue Reading

Intro to Relational Databases

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From Udacity: “This course is a quick, fun introduction to using a relational database from your code, using examples in Python. You’ll learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database. You’ll also learn a bit about protecting your database-backed web apps from common security problems. After taking this course, you’ll be able to … Continue Reading

Data Wrangling with MongoDB

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From Udacity: “In this course, we will explore how to wrangle data from diverse sources and shape it to enable data-driven applications. Some data scientists spend the bulk of their time doing this! Students will learn how to gather and extract data from widely used data formats. They will learn how to assess the quality of data and explore best practices for data cleaning. We will also introduce students to … Continue Reading