Even though most data engineering courses will teach you all you need to handle big data, you can also still benefit from learning some specific data mining skills.
In order to learn data mining yourself, you’ll need to take the best data mining courses online that will teach you the right tools. By becoming a data mining expert, you’ll be able to clean raw data, find patterns in the data, as well as test these data models.
However, you’ll still need at least intermediate skills in machine learning, probability, and statistics as well as database design systems, including SQL and NoSQL.
In this article, we are going to look at the best data mining courses and certifications online to help you become a data mining specialist.
You’ll pick up skills in SQL server analysis, forecasting using R, machine learning using Python, as well as pattern discovery in big data.
Let’s get started.
1. Data Mining Specialization | Coursera
How would you like to master data mining through a Coursera specialization?
This data mining specialization on Coursera will teach you the data mining techniques for both structured data; data which conforms to a clearly defined schema, and unstructured data; data which exists in the form of natural language text.
It is one of the best data mining courses online as it starts you off with the general concepts of data mining along with basic methodologies and applications, then dives into one subfield in data mining called pattern discovery.
After that, the instructor takes you through search engine technologies, which play an important role in any data mining applications involving text data. This is important because modern search engines are needed to help analysts interpret any patterns discovered in the data.
So by the end of this data mining tutorial, you’ll know different methods for data-driven phrase mining and some interesting applications of pattern discovery.
2. Predictive Analytics and Data Mining | Coursera
This popular data mining course online will introduce you to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space.
Once you take this training, you’ll acquire the skills and foundation you need as a business manager to decisively apply data analytics to the real-world challenges that you confront daily in your workplace or professional lives.
First, the instructor begins by teaching you how to wisely identify the ideal analytic tool for your specific needs or based on your current data mining project.
At the end of this tutorial, you’ll be able to comprehensively understand valid and reliable ways to collect, analyze, and visualize data.
So you’ll finally be able to utilize business or customer data in decision making for your agency, organization or clients so that you can make the most of the business opportunities that present themselves to you on a daily basis.
3. R Data Pre-Processing & Data Management – Shape your Data! | Udemy
Learning data mining online involves first taking a deep dive into data analytics because it is what enables you to work with large datasets.
In this course you’ll start off by learning how to import data. You will take a look at a standard way of importing csv files, where you’ll learn how to use the very fast fread method.
I included it as one of the best data mining courses online because it helps you with cleaning up your data. So you will learn how tidyr can help you in getting your data into a clean and tidy format.
In addition to that, there are also lessons on data querying and filtering. When you have a huge dataset you need to filter for the desired parameters. You will learn the combination of parameters and implementation of advanced filtering methods.
For you to follow along you should already have a basic knowledge of R programming.
4. Regression, Data Mining, Text Mining, Forecasting using R | Udemy
In this course you’ll learn data mining using R. This means you’ll cover the majority of the capabilities of R programming from an analytics and data science perspective.
To begin with, the instructor takes you through the basics of statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, and probability distribution.
You’ll then move onto more complex topics like the scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required to properly understand linear regression.
By the time you finish this best selling data mining course online, you’ll have understood the science behind text mining, word cloud, and sentiment analysis using R.
I’d recommend this course if you are an IT professional with no experience in data mining. However, it is best suited for professionals with experience in data analysis, data warehouse, data mining, business intelligence, reporting, and data science.
5. Data Science Foundations: Data Mining Online Class | LinkedIn Learning
Great data science projects begin with good data.
By learning data mining, you’ll get equipped with a framework for collecting, searching, and filtering raw data in a systematic manner, which ensures you have clean data from the very beginning.
You’ll also be able to parse large data sets, and get at the most meaningful, useful information without spending hours on end working on it.
In this data mining course you’ll acquire a very solid point of entry to all the tools, techniques, and tactical thinking behind data mining.
The instructor, Barton Poulson, takes you through data sources and types, the languages and software used in data mining (including R and Python), and specific task-based lessons that help you practice the most common data-mining techniques: text mining, data clustering, and association analysis.
I’d particularly recommend this course if you are interested in joining the data science workforce, as well as if you need to obtain more experience in data mining.
Lerma is our expert in online education with over a decade of experience. Specializing in e-learning and e-courses. She has reviewed several online training courses and enjoys reviewing e-learning platforms for individuals and organizations.