Statistics and ProbabilityCourses / Curricula / References, Learning Guides, Etc. / Self-paced online course
A list of courses from the Khan Academy covering the following topics: Introduction to statistics Analyzing categorical data Displaying and comparing quantitative data Summarizing quantitative data Modeling data distributions Exploring bivariate numerical data Study design Probability Counting, permutations, and combinations Random variables Sampling distributions One-sample confidence intervals One-sample z and t significance tests Two-sample inference for the difference between groups Inference for categorical data (chi-square tests) Advanced regression (inference and … Continue Reading
R Reference Card for Data MiningCheat Sheets / References, Learning Guides, Etc.
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
NumPy Cheat Sheet – Python for Data ScienceCheat Sheets / References, Learning Guides, Etc.
“It’s common when first learning NumPy to have trouble remembering all the functions and methods that you need, and while at Dataquest we advocate getting used to consulting the NumPy documentation, sometimes it’s nice to have a handy reference, so we’ve put together this cheat sheet to help you out.” This cheat sheet covers the following topics: Key and Imports Importing/Exporting Creating Arrays Inspecting Properties Copying/sorting/reshaping Adding/removing Elements Combining/splitting Indexing/slicing/subsetting Scalar Math … Continue Reading
Pandas Cheat Sheet – Python for Data ScienceCheat Sheets / References, Learning Guides, Etc.
“It’s common when first learning pandas to have trouble remembering all the functions and methods that you need, and while we at Dataquest advocate getting used to consulting the pandas documentation, sometimes it’s nice to have a handy reference, so we’ve put together this cheat sheet to help you out!” This cheat sheet covers the following topics: Key and Imports Importing Data Exporting Data Create Test Objects Veiwing/Inspecting Data Selection … Continue Reading
Learning Path: Your mentor to become a machine learning expertCurricula / References, Learning Guides, Etc.
From Analytics Vidhya: “Through this learning path, we hope to provide you an answer to this problem. We have deliberately loaded this learning path with a lot of practical projects. You can not master machine learning with the hard work! But once you do, you are one of the highly sought after people around. Since this is a complex topic, we recommend you to strictly follow the steps in sequential … Continue Reading
Intro to Inferential StatisticsCourses / Self-paced online course
From Udacity: “Inferential statistics allows us to draw conclusions from data that might not be immediately obvious. This course focuses on enhancing your ability to develop hypotheses and use common tests such as t-tests, ANOVA tests, and regression to validate your claims.” The course consists of seven lessons: Estimation Hypothesis Testing t-tests ANOVA Correlation Regression Chi-squared Tests This course is a preliminary step towards the Udacity Data Analyst Nanodegree Program, designed to … Continue Reading
Intro to Descriptive StatisticsCourses / Self-paced online course
From Udacity: “Statistics is an important field of math that is used to analyze, interpret, and predict outcomes from data. Descriptive statistics will teach you the basic concepts used to describe data. This is a great beginner course for those interested in Data Science, Economics, Psychology, Machine Learning, Sports analytics and just about any other field.” The course consists of seven lessons: Intro to Research Methods Visualizing Data Central Tendency … Continue Reading
The SuperDataScience PodcastBlogs, Podcasts, Etc. / Podcasts
From iTunes: “The goal of the Super Data Science podcast is to bring you he most inspiring Data Scientists and Analysts from around the World to help you build your successful career in Data Science. Data is growing exponentially and so are salaries of those who work in analytics. This podcast can help you learn how to skyrocket your analytics career. Big data, visualization, predictive modeling, forecasting, analysis, business processes, … Continue Reading
Demystifying Data Science ConferenceConferences / Gatherings and Organizations
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!