With storage being filled and the world’s information continuously increasing at a rapid pace, organizations around the world are looking for Data Engineers which can help sort and derive meaningful conclusions from the datasets they have. One of these techniques is called Data Mining which basically looks for patterns within large datasets through a combination of statistics and Machine Learning.
In this article, we will look at free courses to learn the fundamentals of Data Mining:
1. Data Mining using an Open Source Machine Learning Software – Udemy
This course will teach you to use WEKA (Waikato Environment for Knowledge Analysis) which is a machine learning suite developed using Java. You will learn about data pre-processing, clustering techniques, regression and visualization of data using the tool. You will learn to make predictions using datasets through WEKA and learn the basics of Data Science and Machine Learning models along the way. The course consists of 3.5 hours worth of content which is fairly good if you are on a tight schedule and need to learn the basics of Data Mining quickly.
2. Data Analytics – Mining and Analysis of Big Data – Alison
Data Analytics is the main branch which covers the concept of Data Mining. You will learn association rule mining and frequent patterns and how they can be grouped together to form a conclusion. The apriori algorithm will also be explained as well as fundamentals of Big Data and K-means clustering. The course ends off by devising some solutions for multi-arm bandit problem and a brief explanation of what stochastic problems are.
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