Tag: data analysis

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

Demystifying Data Science Conference

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FREE Live Online Conference for Aspiring Data Scientists! September 27, 2017: 10:00 am – 10:00 pm EST Are you data curious? Join more than 25 incredible speakers who will demystify data science, and discuss the training, the tools, and the career path to the “best job in the United States.” Register to be notified of new speakers!

The R-Podcast

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“R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS … Continue Reading

Mode Analytics SQL Tutorial

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“This tutorial is designed for people who want to answer questions with data. For many, SQL is the ‘meat and potatoes’ of data analysis—it’s used for accessing, cleaning, and analyzing data that’s stored in databases. It’s very easy to learn, yet it’s employed by the world’s largest companies to solve incredibly challenging problems.” The tutorial is conducted in Mode, “an analytics platform that brings together a SQL editor, Python notebook, … Continue Reading

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

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From Amazon: “With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses … Continue Reading

Statistics with R Capstone

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This is course 5 of 5 in the Statistics with R Specialization. From Coursera: “The capstone project will be an analysis using R that answers a specific scientific/business question provided by the course team. A large and complex dataset will be provided to learners and the analysis will require the application of a variety of methods and techniques introduced in the previous courses, including exploratory data analysis through data visualization and … Continue Reading

Coursera Statistics with R Specialization

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From Coursera: “In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modeling to understand natural phenomena and make data-based decisions, communicate statistical results correctly, effectively, and in context without relying on statistical jargon, critique data-based claims and evaluated data-based decisions, and wrangle and … Continue Reading

Data Analysis and Interpretation Capstone

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This course is 5 of 5 in the Data Analysis and Interpretation Specialization. From Coursera: “The Capstone project will allow you to continue to apply and refine the data analytic techniques learned from the previous courses in the Specialization to address an important issue in society. You will use real world data to complete a project with our industry and academic partners. For example, you can work with our industry partner, … Continue Reading

Machine Learning for Data Analysis

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This course is 4 of 5 in the Data Analysis and Interpretation Specialization. From Coursera: “Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which … Continue Reading

Data Analysis Tools

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This course is 2 of 5 in the Data Analysis and Interpretation Specialization. From Coursera: “In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and … Continue Reading