Tag: data manipulation

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

TDWI Chicago Conference

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Next Event: May 6-11, 2018 – Chicago, IL From TDWI Website: “In one week, at one location, you will get the most applicable training on your top data challenges from the industry’s most respected thought leaders and practitioners. Modernizing your data warehouse? Implementing cloud services? Working to develop a successful data architecture strategy for your self-service analytics and data science endeavors? Need to ensure your dashboards and KPIs are driving … Continue Reading

PyData – Seattle

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2017 Event: July 5th – 7th From PyData Seattle:  “PyData conferences bring together users and developers of data analysis tools to share ideas and learn from each other. The PyData community gathers to discuss how best to apply Python tools, as well as tools using R and Julia, to meet evolving challenges in data management, processing, analytics, and visualization. We aim to be an accessible, community-driven conference, with tutorials for … Continue Reading

PyCon.DE

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2017 Event: October 25-27 – Karlsruhe, Germany From PyCon.DE: “Hosted in Germany and held in the English language, the conference welcomes all Python professionals and enthusiasts whether near or far. PyCon.DE is where Pythonistas in Germany can meet to learn about new and upcoming Python libraries, tools, software and data science. We welcome Python enthusiasts, programmers and data scientists from around the world…”  

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

R Reference Card for Data Mining

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This cheat sheet covers the following aspects in data mining in R: Association Rules & Frequent Itemsets Sequential Patterns Classification & Prediction Regression Clustering Outlier Detection Time Series Analysis Text Mining Social Network Analysis and Graph Mining Spatial Data Analysis Statistics Graphics Data Manipulation Data Access Big Data Parallel Computing Generating Reports Interface to Weka Editors/GUIs Other R Reference Cards RDataMining Website, Package, Twitter & Groups

LeaRning Path on R – Step by Step Guide to Learn Data Science on R

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One of the common problems people face in learning R is lack of a structured path. They don’t know, from where to start, how to proceed, which track to choose? Though, there is an overload of good free resources available on the Internet, this could be overwhelming as well as confusing at the same time. To create this R learning path, Analytics Vidhya and DataCamp sat together and selected a comprehensive set of … Continue Reading

DataCamp – Manipulating DataFrames with pandas

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From DataCamp: “In this course, you’ll learn how to leverage pandas’ extremely powerful data manipulation engine to get the most out of your data. It is important to be able to extract, filter, and transform data from DataFrames in order to drill into the data that really matters. The pandas library has many techniques that make this process efficient and intuitive. You will learn how to tidy, rearrange, and restructure your … Continue Reading