10 Best Data Mining Courses To Grow Your Data Skills
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Data mining—the process of analyzing large sets of data for trends and patterns—is one of the most in-demand data skills today. And so whether you’re a data science professional looking to upskill, or if you’re completely new to data, a data mining course can be a great way to boost your career.
But with so many options available, how do you know which one to pick? It can be hard to tell, especially if this is your first experience with online courses. From the syllabus and tutors to schedules and pricing, there are a lot of factors you need to consider before making a decision, and with so many courses available, this isn’t a quick and easy process.
That’s why we compiled this comprehensive list of our favorite data mining courses to help speed things up for you. Our selection includes both paid and free courses with varying durations to suit all tastes and goals. Whether you’re planning a career change or studying for fun, this list will have something for you.
Is a Data Mining Course Worth It?
Data mining courses are a great way to learn practical skills in data mining and analysis. With online materials, you can follow along with tutorials and lectures at your own pace and learn how to mine valuable business insights from formerly incomprehensible data.
10 Best Data Mining Courses
|Data Science Career Track||4.64||$9,900||Learn More|
|Data Mining Specialization||4.5||$39||Learn More|
|Mining Massive Datasets||3.4||$149||Learn More|
|Data Science A-Z™ Course||2.4||$99.99||Learn More|
|Data Mining for Business in Python||2.4||$19.99||Learn More|
|Fundamentals of Data Mining||4.66||$725||Learn More|
|Data Mining Course||4.9||N/A||Learn More|
|Data Mining with R: Go from Beginner to Advanced||2.4||$84.99||Learn More|
|Data Mining Course||4.74||N/A||Learn More|
|Data Science Foundations: Data Mining||4.4||$39||Learn More|
Course Report: 4.64 out of 5 (1,295 ratings)
The Springboard Data Science Career Track covers everything from data wrangling to advanced machine learning and aims to take students from beginner-level programmers to job-ready graduates. The curriculum is delivered by industry expert tutors, and students are supported throughout the course through 1:1 sessions with their personal mentor and career coach.
Students need to have a basic knowledge of a general-purpose programming language like Python, R, Java, or C++ to enroll in the course. However, if you’re not quite there yet, you can take the 8-week prep course before starting the career track at no extra cost.
The course lasts six months at 15-20 hours per week, or eight months when including the prep course.
The upfront price of the career track is $9,900, with monthly payments, deferred tuition, and credit loans available.
Coursera: 4.5 out of 5 (1,892 ratings)
In this data mining specialization course, you can learn how to mine both structured and unstructured data. Modules on pattern discovery, clustering, text retrieval, text mining, and analytics will teach you the details of the mining process. You’ll then learn the best practices for visualizing data and presenting your findings.
This course is aimed at students with a basic knowledge of probability, statistics, and programming with multiple languages.
At the suggested pace of four hours per week, you can complete this course in around eight months.
Anyone can audit this course for free, or pay the $39 monthly subscription to access project grading and qualify for a certificate.
Trustpilot: 3.4 out of 5 (1,264 ratings)
In association with Stanford Online, this course on mining massive datasets covers a range of topics, including:
- MapReduce systems and algorithms
- Social-network graphs
- Dimensionality reduction
- Machine learning algorithms
This is an advanced course aiming to take experienced computer science graduates into the field of data mining.
Students study 5-10 hours per week on average and complete the course in seven weeks, but the course is self-paced and can be worked through at any speed.
You can gain limited access to this course for free, or purchase the verified track for $149.
Trustpilot: 2.4 out of 5 (964 ratings)
The Data Science: A-Z course on Udemy will walk you through the entire data science journey and show you how to fix the common problems data scientists face. You’ll also learn the skills needed to resent your findings and communicate the value of your data to your audience.
The only prerequisite listed for this course is a passion for success, but you will also need a computer.
Students can progress through the 21 hours of content on this course at any pace.
This course is available for a one-time purchase of $99.99.
Trustpilot: 2.4 out of 5 (964 ratings)
The self-paced course on Udemy focuses specifically on mining data with Python and introduces nine useful algorithms, including supervised machine learning, unsupervised machine learning, and explainable artificial intelligence. The syllabus also focuses on explaining data mining applications in business and how insights can guide stakeholder decisions.
To make the most of this course, you’ll need some background knowledge of probability and statistics, as well as some basic skills in Python.
There are nine hours of content for students to work through at their own pace.
The upfront cost of this course is $19.99.
Course Report: 4.66 out of 5 (39 ratings)
UC San Diego offers a number of data science courses, including this Fundamentals of Data Mining course. Aimed at experienced programmers, this course covers topics such as Bayesian learning, association rules, classification and prediction methods, and linear regression.
It is recommended for students to complete the Statistics for Data Analytics and Linear Algebra for Machine Learning courses with UC San Diego, or have commensurate experience before enrolling in this course.
The course runs for approximately two months.
The cost for this course is $725, and it is offered in the fall and spring.
Facebook: 4.9 out of 5 (36 ratings)
The syllabus for this course begins with introductory material before moving on to different methods for classifying, analyzing, and visualizing data. You’ll then learn about modules covering different applications of data mining within the business and the future of this field.
The curriculum for this course is suitable for advanced undergraduate students or first-year graduate students in computer science and related fields. The course is completely self-paced and taught through video lectures and readings.
This is described as a one-semester course and contains 19 modules.
This course is offered for free and was funded by an education grant.
Trustpilot: 2.4 out of 5 (964 ratings)
This program focuses on data mining with the R programming language and aims to take students from beginner to advanced levels. The course begins with basic data types and structures and ends with advanced cluster analysis examples, covering a large amount of ground in a short course.
This is a beginner-friendly course that welcomes anyone with interest in data mining and analysis. The course also uses free software that anyone can download.
There are 80 lectures totaling 11 hours and 54 minutes.
You can buy this entire course for $84.99.
Course Report: 4.74 out of 5 (193 ratings)
As a free certificate program, the Data Mining course at Great Learning is a useful tool for beginners in data science to test out their affinity for the field. Covering a range of topics from regression analysis to machine learning, you’ll receive a useful introduction to all of the key data mining concepts.
Advertised as intermediate level, basic knowledge of data science is recommended in order to get the most out of this course.
The course contains two and a half hours of video lectures.
You can take the entirety of this course free of charge and gain lifetime access.
G2: 4.4 out of 5 (563 ratings)
Designed as an entry-level course into the world of data science, this curriculum will teach you how data is collected and prepared for analysis and how this results in meaningful information. Students will get hands-on experience through task-based lessons covering topics such as data clustering, text mining, and association analysis.
Described as a beginner and intermediate course, LinkedIn Learning’s Data Science Foundations is aimed at anyone aiming to enter the data science industry. The course is self-paced and doesn’t include any deadlines.
The duration of this course is approximately five hours.
LinkedIn Learning is a paid subscription service that costs $39 a month.
How Do You Choose a Data Mining Course?
Not all data mining courses have the same content or are aimed at the same audience, so it’s important to check a few more things than the title before signing up. Here are some things to consider when picking an online course.
From courses that cover data mining from scratch to advanced courses focusing on a niche, there are a lot of different areas a data science course can cover. If you want to find the right course for you, check out the syllabus before signing up. Some providers will have the syllabus right on their web page, while others might require you to download it or fill in a form to request a more detailed version.
Quality and Expertise of Instructors
Regardless of your reasons for studying, you deserve the best education you can get, and that means having the best teachers. For practical career courses like data mining, professional experience is more relevant than PHDs and high educational honors. Learning from a mining specialist who has worked as a data scientist before will help you gain a better understanding of the industry and the role, as well as data mining skills.
High-quality courses that aim to produce job-ready graduates often provide career guidance to help students define their career goals and refine their resume and interview skills. This is a great resource to have if you’re hoping to start a career in data science, so we highly recommend favoring courses with this benefit.
Reviews and Ratings
While a course might say all the right things on its website, it doesn’t mean much if they don’t produce satisfied customers. Before signing up for a data mining bootcamp, it’s best to check out sites and forums like Coursereport, Career Karma, Indeed, and Reddit to see what the community and alumni have to say.
The pricing of data mining courses can be extremely varied, with both free programs and programs costing upwards of $10,000. This means that, depending on what you want from your course, you may not need to pay any money at all. If you do want the full 1:1 tutor experience and job guarantee, however, be sure to consider the different payment options available to you and read the terms and conditions.
No course website wants to scare potential students away by advertising strict schedules and deadlines, but that doesn’t mean they don’t exist. In some cases, you need to read a little closer to find out exactly how flexible the course is. In general, online courses either have live sessions which require schedules and a set time commitment or use recorded lectures only, which allow the course to be completely self-paced. In this case, the website might include a suggested number of hours per week, but you’re free to deviate from this.
Projects and Practical Experience
Choosing a course with projects not only provides you with practical experience—it also gives you content to include in your professional data science portfolio. We recommend looking for online data mining courses with projects that cover areas such as:
- Machine learning and deep learning
- Anomaly and outlier detection
- Mining algorithms
- Regression analysis
- Sentiment analysis
- Linear regression
- Statistical programming
- Model building
- Probability distribution
- Analytic tools
- Market basket analysis
- Cluster analysis
- Predictive models
Data mining certification courses provide graduates with an official certificate upon completion that you can list on your resume and display on LinkedIn. This is beneficial if you’re planning to search for an entry-level data mining job after you’ve finished studying, as the certificate program can act as a qualification and proof of your skills.
Making the Most Out of Your Data Mining Course
Understanding how online data mining courses work is essential to getting the most out of them, so ask yourself the following questions to get the most out of your course.
How Does the Course Work?
Courses will typically walk you through the entire data science process, covering the business goals data scientists aim to discover valuable insights on and the mining techniques they use to do this. Video lectures are used to provide mining tutorials on complex topics, so you can follow the process step by step. Students typically use special software to complete practical data mining projects that you then hand in to be graded. Some courses also include a capstone project at the end of the course, which makes a great addition to your professional portfolio.
What Should You Expect To Learn During a Data Mining Course?
Most courses will teach you basic mining principles and how to turn your analysis into actionable insights relevant to business intelligence. Understanding the application of data in business is an important part of the mining process, and some courses will focus on this as much as the mining itself.
What Will Your Schedule Look Like?
If you choose a self-paced course, your schedule will be completely determined by you and can even change week by week if necessary. If you choose a course with a time commitment and live sessions, your schedule will either include weekday evening classes or weekend classes.
FAQs About Data Mining Courses
We’ve got the answers to your most frequently asked questions.
Are There Any Common Prerequisites for a Data Mining Course?
Prerequisite knowledge is very common for data mining courses, as this topic is considered an advanced area of study. Most courses will expect a working knowledge of one or multiple programming languages and some basic understanding of probability and statistics.
Is Data Mining Hard To Learn?
If you take a course at the right level for you, learning data science will be accessible and achievable if you have the necessary motivation. If you feel you might struggle with the content, there are courses and prep courses that cover the basics of data analysis and the programming languages used.
Does Data Mining Require Coding?
Although there is software that reduces the amount of coding necessary, many data scientists use programming languages like Python and R on a daily basis to mine and analyze data. If you don’t have experience with coding yet, consider taking a prep course to catch up on basic Python.
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