Analytics

Top 6 online courses to learn Data mining

With the help of data mining, many businesses gain a competitive advantage over others by analysing their data and making it more useful to grow their business further. Data mining finds applications in industries like healthcare, education, insurance, transportation, banking, retail, manufacturing, etc. Since data mining has a huge scope, learning this technology will help you to develop a fruitful career. 

If you are a beginner and very much interested to learn data mining, this article suggests you with some of the best online data mining courses for beginners.

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1. Data Analytics using R


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Data mining techniques

Following are the techniques used in data mining to make the process more efficient:

Classification - It is a complex data mining technique that helps to collect valuable information and classify them to draw conclusions.

Clustering - It is similar to classification but groups data based on their similarities. For example, you can predict how often a customer visits your store or how much they are spending on a single visit. 

Regression - It is a data mining method of analyzing and identifying relationships between variables. 

Prediction - Prediction is the combination of various data mining techniques like sequential, trends, patterns, classification, clustering, etc. It analyzes past data or events and predicts future outcomes. 

Sequential pattern - This data mining technique helps to uncover events that happen in a sequence. For example, using this technique cloth shops can identify customer behaviour like what they are buying just after purchasing cloth or shoe and recommend the same to spur sales.

Data cleaning and preparation - It is an integral part of the data mining process. The raw data should be formatted and cleaned for further processing of data. It is necessary to understand the basic features of data to determine its best use. 


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Below are the other important data mining techniques:

  • Association
  • Tracking patterns
  • Outlier detection
  • Decision trees
  • Statistical techniques
  • Visualization
  • Neural networks
  • Data warehousing
  • Long-term memory processing
  • Machine learning and artificial intelligence

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Benefits of data mining

  1. Data mining helps industries to obtain knowledge-based information.
  2. It also helps companies to make critical decisions based on user data like launching a new product, marketing campaigns, etc.
  3. It helps companies to optimise their websites based on the user interactions
  4. Branding - Data mining helps companies to improve their branding by optimizing marketing campaigns using data mining techniques.
  5. Customer satisfaction - Data mining is used by e-commerce and online media providers to recommend better products and services to their customers. 

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Top widely used data mining tools 

This part of the article gives you the best data analytics tools used by industry professionals.

  • Python
  • R programming
  • Orange
  • Rattle
  • Kaggle
  • Teradata
  • Weka
  • Rapid miner
  • Oracle
  • KNIME

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Top 6 online courses to learn data mining

Below are some data mining online courses that teach you industry-grade data mining tools by building various projects.

1. Data analytics using R

R programming is an open-source programming language used for statistical computing and graphics. It is widely used by data scientists to interpret and analyse data. In this online data mining, you will learn to work with the R programming language and perform data analysis. As part of this course, you will work with world happiness and diamond quality datasets. You will work with packages like ggplot2 and dplyr in R. 

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2. House price prediction using Boston housing dataset

In this data mining online course, you will use machine learning a data mining technique to predict the house prices in Boston. You will use Boston housing dataset to predict the house prices of the area. As part of this data mining online course, you will learn to import and process a dataset and also learn about machine learning algorithms. 

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3. Handwritten digits recognition using MNIST dataset

In this data mining online course, you will learn to extract data from handwritten documents like bank statements, vehicle number plates, handwritten forms, etc. As part of this data mining course, you will learn to develop a neural network for handwritten digit classification using MNIST dataset. You will also work with libraries like TensorFlow and Keras. 

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4. Credit card fraud detection 

The advancement in technology has also increased the number of online frauds. This data mining online course helps you to identify fraudulent credit card transactions by analysing the previous bank transactions. As part of this course, you will learn about:

  • SelectKBest features
  • Confusion Matrix
  • Linear regression
  • Mean Squared error function
  • Gaussian Naive Bayes algorithm

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5. Movie recommendation system

This data mining online course teaches the concept behind the recommendation system used in Netflix, Amazon and various other online e-commerce and media platforms. As part of this online course, you will learn to develop a model to predict movies based on the previous watching history. You will learn about mean squared error function, clustering in machine learning, KNearest neighbours, etc. 

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6. Python for data science

In this data science online course, you will learn how python is used in data mining and the basics of data science concepts. You will learn about data mining process like data clearing, data manipulation, plotting graphs, etc. As part of this course, you will also learn about various machine learning techniques and visualization. 

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Data mining is one of the upcoming fields and it is widely used by industry professionals to improve their productivity. Developing skill in this field will help you to develop a successful career. Thus enrol in the above-mentioned data mining online courses to become a successful data scientist. 

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Top 6 online courses to learn Data mining
Skyfi Labs Last Updated: 2020-06-28





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