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15 best data science bootcamps for boosting your career

CIO Business Intelligence

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. On-site courses are available in Munich. Remote courses are also available. DataScientest. WeCloudData.

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How Do Super Rookies Start Learning Data Analysis?

FineReport

You may be full of doubts and yearnings for SQL, Python, R, etc. For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. From Google. There are two points here. One is how to gain insights from the data.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

Introduction. Lately I’ve been developing curriculum for a client for their new “Intro to Data Science” sequence of courses. Educational materials are available online for their Data 8 foundations course and their Data 100 intermediate course, as well as their textbook, Inferential and Computational Thinking.

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Understanding Causal Inference

Domino Data Lab

Introduction. Chapter Introduction: Causal Inference. This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. A complementary Domino project is available. .

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

Introduction Time series forecasting enjoys a rich and luminous history, and today is an essential element of most any business operation. So it should come as no surprise that Google has compiled and forecast time series for a long time. Hand-Drawn Time Series of Google “Results Pages”, November 1998 through July 2004.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. But humans often disagree, and groups of humans may disagree with each other systematically (say, experts versus laypeople). Some of this data is human-labeled. Some of this data is human-labeled.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. Forecasting (e.g. The bsts package is open source.