Almost every large company you might want to work at uses Hadoop in some way, including Amazon, eBay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images. The Udemy course "The Ultimate Hands-On Hadoop - Tame your Big Data!" is comprehensive, covering … [Read more...]
Learn Business Data Analysis with Microsoft Excel and Power BI
Microsoft Excel is the world's most used and versatile business analysis, reporting and strategy software. Having a deep practical knowledge of Excel will increase your productivity and you will be seen as a very efficient, highly competent and indispensable partner in the organization's progress. Power BI is Microsoft's business intelligence and dashboarding tool that enables … [Read more...]
Python Programming: Complex Decisions and Events – Free Course
In the data science industry, Big Data, Hadoop, Data Mining go hand in hand with Python. Alison's free online course "Python Programming - Working with Complex Decisions and Events" can help you with some of the complex concepts of Python, applicable in the professional world of data science. This will be of great interest to those learners who wish to get started in … [Read more...]
Get a Practical Insight into Big Data Analytics – A Free Course
Data is everywhere and can be obtained from many different sources. Digital data can be obtained from social media, images, audio recordings and sensors, and electronic data is quite often available as real-time data streams. Many of these datasets have the potential to provide solutions to important problems, and advice in making decisions in health, science, sociology, … [Read more...]
Apply Mathematical Modeling Methods to Analyze Big Data – Free Course
Have you ever wondered how mathematics can be used to solve big data problems? . Mathematics is everywhere, and with the rise of big data it becomes a useful tool when extracting information and analyzing large datasets. The free online course "Big Data: Mathematical Modeling" will show you how maths underpins big data analysis. Big Data: Mathematical Modeling … [Read more...]
MapReduce and Hadoop Tutorial
MapReduce is a programming model for processing and generating large data sets with a parallel, distributed algorithm on a cluster. MapReduce libraries have been written in many programming languages, with different levels of optimization. A popular open-source implementation that has support for distributed shuffles is part of Apache Hadoop. 1: Learn MapReduce with Playing … [Read more...]
Machine Learning (Stanford)
This course (CS229) -- taught by Professor Andrew Ng -- provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, … [Read more...]
Awesome Big Data Algorithms – A Free Course
A practical introduction, with live demos and bad jokes, to this fascinating algorithmic nic. Random algorithms and probabilistic data structures are algorithmically efficient and can provide shockingly good practical results. Speaker: Titus Brown … [Read more...]
Analyzing Big Data with Twitter – A Free Course
How to store, process, analyze and make sense of Big Data is of increasing interest and importance to technology companies, a wide range of industries, and academic institutions. In this course, UC Berkeley professors and Twitter engineers will lecture on the most cutting-edge algorithms and software tools for data analytics as applied to Twitter microblog data. Topics will … [Read more...]
Learning From Data: An Introductory Machine Learning Course – Free
A real Caltech course, not a watered-down version. This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience … [Read more...]
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