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  • Unsupervised Learning

Unsupervised Learning Courses

Unsupervised learning courses can help you learn clustering techniques, dimensionality reduction, and anomaly detection. You can build skills in data preprocessing, feature extraction, and interpreting complex datasets. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing these methods in projects. You'll also explore practical applications in areas like customer segmentation, image processing, and recommendation systems, enhancing your ability to derive insights from unlabelled data.


Popular Unsupervised Learning Courses and Certifications


  • Status: New
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    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Unsupervised Learning, Recommenders, Reinforcement Learning

    Skills you'll gain: Unsupervised Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    5.4K reviews

    Beginner · Course · 1 - 4 Weeks

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    University of Michigan

    Applied Unsupervised Learning in Python

    Skills you'll gain: Unsupervised Learning, Embeddings, Supervised Learning, Data Preprocessing, Python Programming, Exploratory Data Analysis

    Advanced · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra

    Intermediate · Course · 1 - 3 Months

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    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    38K reviews

    Beginner · Specialization · 1 - 3 Months

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    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    356 reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
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    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
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    593 reviews

    Advanced · Course · 1 - 3 Months

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    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

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    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
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    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Advanced Machine Learning with R: Apply & Predict

    Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Data Mining, Feature Engineering, Data Preprocessing, Model Evaluation, Exploratory Data Analysis

    Mixed · Course · 1 - 4 Weeks

Searches related to unsupervised learning

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supervised learning
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advanced ml algorithms & unsupervised learning
unsupervised learning and its applications in marketing
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1234…536

In summary, here are 10 of our most popular unsupervised learning courses

  • Machine Learning Fundamentals: Dartmouth College
  • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
  • Applied Unsupervised Learning in Python: University of Michigan
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Machine Learning: DeepLearning.AI
  • Unsupervised Machine Learning: IBM
  • The Nuts and Bolts of Machine Learning: Google
  • Machine Learning with Python: IBM
  • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Advanced ML Algorithms & Unsupervised Learning: Packt

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

Frequently Asked Questions about Unsupervised Learning

Unsupervised learning is a type of machine learning that involves training algorithms on data without labeled outcomes. This approach is crucial because it enables the discovery of hidden patterns and structures within data, allowing for insights that can drive decision-making in various fields. By identifying these patterns, businesses and researchers can make informed predictions, segment data, and enhance their understanding of complex datasets. The importance of unsupervised learning lies in its ability to handle vast amounts of unstructured data, which is increasingly prevalent in today's data-driven world.‎

Careers in unsupervised learning are diverse and can lead to roles such as data scientist, machine learning engineer, and business analyst. These positions often require a strong understanding of data analysis and algorithm development. Additionally, roles in marketing analytics and customer insights leverage unsupervised learning techniques to identify customer segments and improve targeting strategies. As organizations increasingly rely on data to inform their strategies, the demand for professionals skilled in unsupervised learning continues to grow.‎

To effectively learn unsupervised learning, you should focus on developing a solid foundation in statistics, linear algebra, and programming, particularly in Python or R. Familiarity with machine learning concepts and algorithms is essential, as is experience with data manipulation and visualization tools. Understanding clustering techniques, dimensionality reduction, and anomaly detection will also be beneficial. Additionally, gaining practical experience through projects or internships can enhance your skills and make you more competitive in the job market.‎

Some of the best online courses for unsupervised learning include Applied Unsupervised Learning in Python and Unsupervised Machine Learning. These courses provide hands-on experience with algorithms and practical applications, making them ideal for learners looking to deepen their understanding. Other notable options include Cluster Analysis and Unsupervised Machine Learning in Python and Unsupervised Algorithms in Machine Learning, which cover various techniques and their implementations.‎

Yes. You can start learning unsupervised learning on Coursera for free in two ways:

  1. Preview the first module of many unsupervised learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in unsupervised learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn unsupervised learning, start by selecting a course that aligns with your current knowledge and goals. Engage with the course materials, complete assignments, and participate in discussions to reinforce your understanding. Practice is key, so work on real-world datasets to apply the concepts you've learned. Additionally, consider joining online communities or forums to connect with others in the field, share insights, and seek guidance as you progress.‎

Typical topics covered in unsupervised learning courses include clustering algorithms (like K-means and hierarchical clustering), dimensionality reduction techniques (such as PCA), anomaly detection, and association rule learning. Courses may also explore the applications of these techniques in various domains, including marketing, finance, and healthcare. Understanding the theoretical foundations and practical implementations of these topics is essential for mastering unsupervised learning.‎

For training and upskilling employees in unsupervised learning, courses like Unsupervised Learning and Its Applications in Marketing and Unsupervised Learning, Recommenders, Reinforcement Learning can be particularly beneficial. These courses provide practical insights and applications that can enhance team capabilities in data analysis and decision-making, making them valuable resources for organizations looking to leverage data-driven strategies.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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