# Content: References, Learning Guides, Etc. / Curricula

Change Search Criteria:### Learn Data Science

Curricula / Intro Guide / References, Learning Guides, Etc. / TutorialFrom GitHub: “A collection of Data Science Learning materials in the form of iPython Notebooks. Associated data sets. The initial beta release consists of four major topics Linear Regression Logistic Regression Random Forests K-Means Clustering Each of the above has at least three iPython Notebooks covering Overview (an exposition of the technique for the math-wary) Data Exploration (the nuts and bolts of real world data wrangling) Analysis (using the technique to … Continue Reading

### Learning AI if You Suck at Math

Curricula / References, Learning Guides, Etc.From Hackernoon: “If you’re like me, you’re fascinated with AI. Maybe you’d love to dig deeper and get an image recognition program running in TensorFlow or Theano? Perhaps you’re a kick-ass developer or systems architect and you know computers incredibly well but there’s just one little problem: You suck at math. That’s all right! I share your dirty little secret and I have some books and websites that will really … Continue Reading

### R Tutorial

Curricula / Intro Guide / References, Learning Guides, Etc. / TutorialThis series of text-based tutorials covering a variety of introductory topics in R: Input Basic Data Types Basic Operations and Numerical Descriptions Basic Probability Distributions Basic Plots Intermediate Plotting Indexing Into Vectors Linear Least Squares Regression Calculating Confidence Intervals Calculating pValues Calculating The Power Of A Test Two Way Tables Data Management Time Data Types Introduction to Programming Object Oriented Programming Case Study: Working Through a HW Problem Case Study II: … Continue Reading

### Statistics and Probability

Courses / Curricula / References, Learning Guides, Etc. / Self-paced online courseA 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

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

Curricula / References, Learning Guides, Etc.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 mentor to become a machine learning expert

Curricula / 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

### Weka – GUI way to learn Machine Learning

Curricula / References, Learning Guides, Etc.Weka is a collection of data analysis, data visualization, predictive modelling, and machine learning tools within a graphical user interface (GUI). From Analytics Vidhya: “In this era of data science where R and Python are ruling the roost, let’s take a look at another data science tool called Weka. Weka has been around for quite a while and was developed internally at University of Waikato for research purpose. What makes … Continue Reading

### Learning Path: Your Guide to Become a Tableau Expert

Curricula / References, Learning Guides, Etc.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

Curricula / References, Learning Guides, Etc.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

Curricula / References, Learning Guides, Etc.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

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