Online courses directory (13677)

Probably the only Forex course you'll ever need!

60 minute course from a Tantric Yoga Master on how to create and sustain a daily meditation practice

The Dalai Lama of Tibet dicusses....

Pink walks us through many important secrets to great speech writing and effective public speaking.

Find out how to become comfortable on the dance floor, have fun and not look silly! For men only!

Learn to dance the Charleston! Improve body movement, rhythm, coordination, get fit and have a load of FUN!

"Light will be thrown..." With these modest words, Charles Darwin launched a sweeping new theory of li

Learn entrepreneurship and thought leadership from professors at the University of Virginia's Darden School of Business

From Fortune 500 CEOs, to the world's top business journalists, to Hollywood's hot young producers, our visiti

Run a Business by the Numbers, Improve it Constantly and Project What Will Happen to be Ahead of the Competition

Learn to put people and processes on autopilot to give managers leverage and time to work "on", not just "in" the biz.

Most failure happens due to poor implementation process and understanding. This course lays out the process and pitfalls

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data. This course will introduce students to the field by covering state­-of-­the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include several case studies and hands-on work with the R programming language.

Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted by [John Tukey](http://en.wikipedia.org/wiki/John_Tukey), exploratory data analysis focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods. If you're interested in supplemental reading material for the course check out the Exploratory Data Analysis book. (Not Required) This course is also a part of our Data Analyst Nanodegree.

Learn data analytics in easy to follow stages for beginners

Learn how to extract the data from one application, modify and process it using business rules and load it to another

In this free course Data Analytics – Introduction to Machine Learning you will learn about machine learning methods that help automate the analysis of data. These computing methods help find hidden insights and information within the data without being explicitly programmed where or what to search for within the data.<br /><br />This course begins by introducing you to supervised and unsupervised learning. You will learn how to distinguish between each type of learning and how to use them to analyse data. You will also learn about linear regression and how it can be used. The course introduces concepts about regularization and how to avoid over-fitting by using regularization.<br /><br />Next, you will learn about using Excel and Matlab to perform simple and multiple regression. You will learn about confidence levels and subset selections. You will learn how to distinguish between R² and adjustment R² and what they both measure. The course will finish by introducing what the K-NN approach is in data analytics and when this approach should be used. <br /><br />This course will be of great interest to professionals who work in the areas of data analytics and data science and who would like to learn more about methods used in machine learning. It will also be of interest to learners who are interested in computer science and would like to learn more about how machine learning gives computers the ability to learn without being explicitly programmed.

In this free data analysis course Data Analytics - Mining and Analysis of Big Data you will be introduced to the concept of big data and to a number of techniques that are used to analyse and interpet big data. <br /><br />The course begins by introducing you to big data and lists the four V’s of big data. You will learn about associative rule mining, and about when association can be applied and the patterns that arise in mining. <br /><br />Next, you will learn about clustering analysis. You will examine the difference between clustering and classification and the different types of clustering. You will also learn about K-means clustering and K-meloids.<br /><br />Finally, you will learn about online and active learning. You will learn about experimentation and the difference between an online and offline context of creating data. You will be introduced to the n-arm bandit problem and how to find solutions for the multi-arm bandit problem. <br /><br />This free online course will be of great interest to professionals involved in data science and data analysis and any learner who wants to learn more about analysing big data using mining and clustering techniques.

Your practical application oriented guide to analyzing Big Data

Learn how to use easy web scraping and harvesting tools to collect, scrape and extract information from websites.