Data Mining

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What Is Data Mining?

Data mining is the process of transforming large batches of raw data into usable information through the use of software. Data mining can be used to discover insights that lead to better marketing strategies, increased sales, decreased costs and reduced churn, and is dependent on proper data collection and warehousing techniques. Data mining is utilized alongside predictive analysis and machine learning to identify data patterns and investigate opportunities.

 

What Is Data Mining Used For?

Data mining provides a way to analyze large amounts of data to uncover a variety of potential business opportunities.

Data scientists and analysts use data mining techniques to dig through the noise in their data to uncover trends and patterns that can be used in decision-making, particularly when developing new business and operational strategies. The volume of data that exists in the world continues to double nearly every two years, with unstructured data alone making up 90 percent of all existing data. The opportunities that can be uncovered through data mining are virtually limitless.

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Data Mining Techniques

Data mining typically uses four techniques to create descriptive and predictive power: regression, association rule discovery, classification and clustering.

 

1. Regression Analysis

Regression analysis is the most straightforward version of predictive power and is used to predict the value of a feature based on the values of other features in a data set. Regression can be used to predict a product’s revenue based on similar products sold or predict stock market status, amongst many other uses.

 

2. Association Rule Discovery

Association rule discovery allows analysts to discover relationships between items, for example, products commonly purchased with each other. This is useful for recommendation systems of multiple varieties, whether for content, products, restaurants or others.

 

3. Classification

Classification is a function of data mining that assigns items in a collection to specific categories or classes. The goal of classification is to accurately predict the class for each case in the data. Classifications do not determine order and are intended to predict relationships between data points. Sorting clothing by color would be a real-world example of classification. 

 

4. Clustering

Finally, clustering determines object groupings so objects in a particular group will be similar to one other while objects in another group are not. A common example is clustering customers together for effectively building marketing strategies.

What Is Data Mining? | Video: IBM Technology

 

How Is Data Mining Done?

Data mining is accomplished by implementing several steps that ensure collected data is accurate and usable within a specific context.

There are five steps data analysts use to successfully perform data mining:

  1. Research: Conduct business research to get an understanding of enterprise objectives, resources that may be utilized and ongoing scenarios to set an effective data mining plan.
  2. Data Quality Check: Next comes data quality checks, which evaluate and match the data collected from multiple sources to avoid bottlenecks in integration and detect any anomalies before mining.
  3. Cleaning Data: Data is then cleaned to remove corrupt or inaccurate entries from the data set.
  4. Data Transformation: Data transformation is the next step in preparing data to be slotted into the final data sets and includes data smoothing, data summary, data generalization, data normalization and data attribute construction sub-processes.
  5. Data Modeling: Finally, data modeling is used to identify data patterns through the use of mathematical models.

 

Data Mining Examples

  • Mining customer data to determine buying habits and which products with which to target them
  • Mining claims data to detect potential insurance fraud
  • Determining the average wear and tear of production items in manufacturing based on previous orders and repair data 
Courses

Expand Your Data Mining Career Opportunities

Learn data mining and other in-demand skills through one of Udemy’s top-rated data science courses.

General Assembly

Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making.

4.5
(462)
Udemy

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Learn Database Design the easy way. Go from simple to complex with a real life example: online store's DB using MySQL.

 

What You'll Learn: 

  • Learn what a database is…
4.5
(2185)
Udemy

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Entity-Relationship Techniques and Best Practices

 

What You'll Learn:

  • Master the techniques needed to build data models for your organization.
  • Apply key…
4.4
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Udemy

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Learn advanced Excel for data analysis & business intelligence (Power Query, Power Pivot & DAX language. Excel 2013+)

 

What You'll Learn: 

  • Get up &…
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Certifications

Data Mining Certifications + Programs

Grow your career and develop your professional skills by earning a data science certification from Udacity.

General Assembly’s Data Analytics Immersive is designed for you to harness Excel, SQL, and Tableau to tell compelling stories with a data driven strategy. This program was created for analysts, digital marketers, sales managers, product managers, and data novices looking to learn the essentials of data analysis. 

 

What you'll accomplish

You will learn to use industry tools, Excel, and SQL to analyze large real world data sets and create data dashboards and visualizations to share your findings. The Data Analytics Accelerator culminates in a.

Throughout this expert-designed program, you’ll:

  • Use Excel, SQL, and Tableau to collect, clean, and analyze large data sets.
  • Present data-driven insights to key stakeholders using data visualization and dashboards.
  • Tell compelling stories with your data.
  • Graduate with a professional portfolio of projects that includes a capstone project applying rigorous data analysis techniques to solve a real-world problem

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Science Immersive is a transformative course designed for you to get the necessary skills for a data scientist role in three months. 

The Data Science bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you will be ready to succeed in a variety of data science and advanced analytics roles, creating predictive models that drive decision-making and strategy throughout organizations of all kinds. Throughout this expert-designed program, you’ll:

  • Collect, extract, query, clean, and aggregate data for analysis.
  • Gather, store and organize data using SQL and Git.
  • Perform visual and statistical analysis on data using Python and its associated libraries and tools.
  • Craft and share compelling narratives through data visualization.
  • Build and implement appropriate machine learning models and algorithms to evaluate data science problems spanning finance, public policy, and more.
  • Compile clear stakeholder reports to communicate the nuances of your analyses.
  • Apply question, modeling, and validation problem-solving processes to data sets from various industries to provide insight into real-world problems and solutions.
  • Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

 

General Assembly

General Assembly’s Data Analytics Immersive is a transformative course designed for you to get the necessary skills for a data analyst role in three months. 

The Data Analytics bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their tech hiring needs.

 

What you'll accomplish

As a graduate, you’ll have a portfolio of projects that show your knowledge of data analytics skills, as well as experience with visualization tools and frameworks that employers demand. Throughout this expert-designed program, you’ll:

  • Acquire, analyze, and visualize data sets in real time.
  • Master industry-standard tools like SQL, Excel, Tableau, PowerBI, and Python.
  • Turn data into stories that can influence and inform important decisions.
  • Ask the right questions and answer them with data-informed insights.
  • Demonstrate what you’ve learned with a solid professional portfolio.

 

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation. General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

 

Your next step? Submit an application to talk to the General Assembly Admissions team


 

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembl

 

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