Data Science at the Command Line
Whether you're entirely new to the command line or already dreaming in shell scripts, by the end of this webcast you will have a solid understanding of how to leverage the power of the command line.
Data science
Data science ideas and resources.
Analyzing the Analyzers
An Introspective Survey of Data Scientists and Their Work
Practical Data Cleaning with Python
Katharine Jarmul will show you how to use Python libraries to speed up the data wrangling process and automate data cleaning, how to handle messy data, and how to write data unit tests that monitor data validity.
Building data science teams
Data science teams need people with the skills and curiosity to ask the big questions.
Simple Line Plots with Matplotlib
This recipe covers the basics of setting up a matplotlib plot, and how to create simple line plots.
Building and deploying large-scale machine learning pipelines
We need primitives, pipeline synthesis tools, and most importantly, error analysis and verification.
Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka
Jesse Anderson will show you how to recognize the opportunities, avoid the problems, and get the most value from your data.
Why the data center needs an operating system
It’s time for applications — not servers — to rule the data center.
Revealing the Uncommonly Common with Elasticsearch
This webcast looks at how Elasticsearch is taking search engine technology and branching it out to provide insightful analysis of large datasets.
Computational Thinking: Just Enough Math
The webcast introduces advanced math for business people, including graph theory, abstract algebra, optimization, bayesian statistics, and more advanced areas of linear algebra.
Surfacing anomalies and patterns in machine data
Compelling large-scale data platforms originate from the world of IT Operations
2013 Data Science Salary Survey
Tools, Trends, What Pays (and What Doesn't) for Data Professionals
Hadoop: What it is, how it works, and what it can do
Cloudera CEO Mike Olson on Hadoop's architecture and its data applications.
Moving beyond big data to smart data
William Plummer on the “closed loop of data.”