Tag: data visualization

A Course for Visualization in R, Taking You From Beginner to Advanced

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From FlowingData: “The point of this course is to remove the guesswork and guide you from beginner up to advanced. I recommend a four-week schedule — 5 to 10 hours per week — but you can learn at your own pace. You start with the basics of R and then jump right into visualization. The focus of the course is all about the how. You work through tutorials and pause to … Continue Reading

PyData @ PyCon PL

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From PyData @ PyCon PL’s website: “PyData@PyCon PL will be held in Ossa during PyCon PL 2017 the tenth edition of the PyCon PL Conference. PyData@PyCon PL will provide a meeting place where data scientists and engineers could join efforts, aiming at establishing a strong Polish PyData community.” Next Event: August 17-20, 2017 – Ossa, Poland Presenting initial partial list of talks and workshops, more coming soon Proposed Talks and Workshops for 2017: … 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

RStudio Cheat Sheets

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“These cheat sheets below make it easy to learn about and use some of our favorite packages.” Data Import Cheat Sheet: “reminds you how to read in flat files…,work with the results as tibbles, and reshape messy data with tidyr. Use tidyr to reshape your tables into tidy data, the data format that works the most seamlessly with R and the tidyverse.” Data Transformation Cheat Sheet: “dplyr provides a grammar … Continue Reading

Python Data Visualization: Bokeh Cheat Sheet

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“DataCamp recently launched the Interactive Data Visualization with Bokeh course….Now, DataCamp has created a Bokeh cheat sheet for those who have already taken the course and that still want a handy one-page reference or for those who need an extra push to get started. In short, you’ll see that this cheat sheet not only presents you with the five steps that you can go through to make beautiful plots but … Continue Reading

Newbie to D3.js Expert: Complete path to create interactive visualization using D3.js

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From Analytics Vidhya: “I think that the popularity of D3.js in data science fraternity is not in sync with its true potential. The main reason being that it requires a different skill set (for e.g. HTML, CSS and knowledge about JavaScript) than most of the mainstream tools for data science or machine learning. Also, there are readily available tools like QlikView and Tableau which provide this facility. However, when you … Continue Reading

Learning Path: Your Guide to Become a Tableau Expert

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From Analytics Vidhya: “Tableau is one of the fastest evolving Business Intelligence (BI) and data visualization tool. It is very fast to deploy, easy to learn and very intuitive to use for a customer. Here is a learning path to all those people who are new to Tableau. This path will help you to learn Tableau in a structured approach. Beginners are recommended to follow this path religiously. If you already have … Continue Reading

QlikView – Learning Path from a Starter to a QlikView Expert

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From Analytics Vidhya: “Data Visualization is one of the fastest evolving areas in Analytics and Data Science. With data increasing by the second, we need people who can not only visualise huge amount of data but also communicate data based stories to their customers…. QlikView is one of the fastest evolving Business Intelligence (BI) and data visualisation tool. It is very fast to deploy, easy to learn and very intuitive … Continue Reading

Comprehensive learning path – Data Science in Python

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From Analytics Vidhya: “So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page is to provide a comprehensive learning path to people new to python for data analysis. This path provides a comprehensive overview of steps you need to learn to use Python for data analysis. … Continue Reading

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