10 Best Data Mining Udemy Courses and Certifications Online 2023

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There are countless online Udemy Courses and classes that will assist you enhance your Data Mining skills and earn your Data Mining certificate.

In this article, our specialists have actually put together a curated list of the 10 Best of the Best Data Mining Udemy Courses, tutorials, training programs, classes and certifications that are offered online right now.

We have included just those Udemy Courses that satisfy our high-quality requirements. We have put a great deal of time and effort into gathering these all for you. These Udemy Courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these Udemy Courses and what they have to offer for you!

10 Best Data Mining Udemy Courses and Certifications Online

Course Name	Enrolled Students (Count)	Reviews (count)
1. Master Data Mining in Data Science & Machine Learning Our Best Pick	16884+	111+
2. “SQL Server Analysis Services – SSAS, Data Mining & Analytics”	7998+	1260+
3. R Data Pre-Processing & Data Management – Shape your Data!	4575+	620+
4. “Regression, Data Mining, Text Mining, Forecasting using R”	4470+	505+
5. Data Mining with R: Go from Beginner to Advanced!	4458+	397+
6. Data Science:Data Mining & Natural Language Processing in R	3702+	339+
7. More Data Mining with R	2557+	110+
8. Outlier Detection Algorithms in Data Mining and Data Science	2157+	207+
9. Data Analysis & Mining in Python & PySpark (2 Udemy Courses in 1)	1094+	350+
10. Professional Certificate in Data Mining & Machine Learning	755+	123+

1. Master Data Mining in Data Science & Machine Learning by Data Is Good Academy Udemy Course Our Best Pick

“Learn about Data Mining Standard Processes, Survival Analysis, Clustering Analysis, Various algorithms and much more.”

As of right now, more than 16884+ people have enrolled in this course and there are over 111+ reviews.

Course Content

Introduction to Data Mining
Data Mining Standard Processes
Survival Analysis
Cox Hazard Regression
Introduction to Clustering Analysis
Dimensionality Reduction
Association Rule Learning
Tree Based Models
Introduction to Boosting Models
Model Explanationability
Outro Section
Bonus Section

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2. “SQL Server Analysis Services – SSAS, Data Mining & Analytics” by Siddharth Mehta Udemy Course

Develop SSAS cubes from data warehouse on Multidimensional & Tabular modes with Dimensional & Data Mining Models

As of right now, more than 7998+ people have enrolled in this course and there are over 1260+ reviews.

Course Content

Introduction
Fundamentals and Technology Overview
SQL Server Analysis Services (SSAS) Installation
Cube Design and Development
Multidimensional Expressions – Practical code development
Administration
Advance Techniques
Performance Tuning
Basics of Data Mining Concepts and Data Mining Algorithms
Developing Data Mining Models using SQL Server and SSAS
Tabular SSAS – Installation and Setup
SSAS Tabular Data Model – Design and Development
Conclusion

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3. R Data Pre-Processing & Data Management – Shape your Data! by R-Tutorials Training Udemy Course

Learn how to prepare your data for great analytics in R.

As of right now, more than 4575+ people have enrolled in this course and there are over 620+ reviews.

Course Content

Introduction
Data Import and Data Structuring
Cleaning Your Data
Querying and Filtering Data with data.table
Queries and Filtering Exercises
Using dplyr on one and multiple Datasets
Integrate SQL into R
Detecting Outliers
Working with Strings – Regular Expressions
Working with Dates and Time

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4. “Regression, Data Mining, Text Mining, Forecasting using R” by ExcelR Solutions Udemy Course

“Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R”

As of right now, more than 4470+ people have enrolled in this course and there are over 505+ reviews.

Course Content

Introduction To Data Science
Basic Statistics
Hypothesis Testing Introduction
Hypothesis Testing- Parametric
Hypothesis Testing-Non Parametric
BASICS OF R-PROGRAMMING
Predictive Analytics
Data Mining/Clustering Using R
Clustering on Mixed Data
High Dimension Data Analysis – Dimension Reduction
Relationship Mining – Association Rules
Recommendation System
Text Mining Using R
Forecasting Using XL Miner
Bonus: Forecasting Model Based Approaches
Bonus: Forecasting Data Driven Approaches
Interview Q&A’s

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5. Data Mining with R: Go from Beginner to Advanced! by “Geoffrey Hubona, Ph.D.” Udemy Course

“Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.”

As of right now, more than 4458+ people have enrolled in this course and there are over 397+ reviews.

Course Content

“Data Types and Structures in R
Data and File Input and Output
Visualizing (Getting to Know) your Data
Decision Trees and Random Forests
Linear Modeling (Regression) and Generalized Linear Modeling (GLMs)
K-Means, K-Medoids, and Hierarchical Cluster Analysis Approaches
Density-Based and Agglomerative Hierarchical Clustering
More Cluster Analysis Examples, Graphics, and Detecting Outliers
K-Means TAM Residuals Cluster Analysis Software Case example”

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6. Data Science:Data Mining & Natural Language Processing in R by Minerva Singh Udemy Course

“Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples”

As of right now, more than 3702+ people have enrolled in this course and there are over 339+ reviews.

Course Content

INTRODUCTION TO THE COURSE: The Key Concepts and Software Tools
Reading in Data from Different Sources in R
Exploratory Data Analysis and Data Visualization in R
Data Mining for Patterns and Relationships
Machine Learning for Data Science
Unsupervised Classification- R
Dimension Reduction
Supervised Learning Theory
Supervised Learning: Classification
Supervised Learning: Regression
Introduction to Artificial Neural Networks (ANN)
More Web-scraping and Text Data Mining
Gaining Insights from Text Data- Text Mining and Natural Language Processing (NL
Text Data and Machine Learning
Miscellaneous Lectures

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7. More Data Mining with R by “Geoffrey Hubona, Ph.D.” Udemy Course

“How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.”

As of right now, more than 2557+ people have enrolled in this course and there are over 110+ reviews.

Course Content

“Introduction to R and to Data Mining
Association Analysis (part 1)
Association Analysis: Online Radio and Predicting Income
Social Network Analysis: iGraph Visualizations
Social Network Analysis (part 2)
Text Mining Twitter Data
Text (String) Manipulation
Time Series Data Mining
Case Study: Forecasting House Price Indices in Canberra, Australia”

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8. Outlier Detection Algorithms in Data Mining and Data Science by KDD Expert Udemy Course

“Outlier Detection in Data Mining, Data Science, Machine Learning, Data Analysis and Statistics using PYTHON,R and SAS”

As of right now, more than 2157+ people have enrolled in this course and there are over 207+ reviews.

Course Content

Introduction
Detection Outliers in Univariate space
Detection Outliers in Multivariate space
Detection Outliers in High-Dimensional space
Final

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9. Data Analysis & Mining in Python & PySpark (2 Udemy Courses in 1) by Data Science Guide Udemy Course

“Learn Data Analysis and Mining, Machine Learning, Deep Learning in Python & PySpark”

As of right now, more than 1094+ people have enrolled in this course and there are over 350+ reviews.

Course Content

Introduction to Data Mining & Machine Learning in Python (Course 1)
Setup Programming Environment
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Deep Learning
Introduction to Learn Data Analysis in PySpark (Course 2)
Introduction to PySpark Development Environment
Cleaning and Transformation Data in PySpark
Performing Data Analysis in PySpark
Appendix: Statistics Overview

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10. Professional Certificate in Data Mining & Machine Learning by Academy of Computing & Artificial Intelligence Udemy Course

Learn All the Skills to Become a Data Mining & Machine Learning Scientist [2022] [COMPREHENSIVE MASTERCLASS]

As of right now, more than 755+ people have enrolled in this course and there are over 123+ reviews.

Course Content

“Introduction
********** Setting up the Environment ************
Setting up the Environment for Python Machine Learning
********** Python Basics For Machine Learning ***********
Python For Absolute Beginners – Lectures
Software Design for Beginners
********** Understanding Data With Statistics ********
Statistics For Data Scientists & Machine Learning Engineers
********** Data Pre-processing ************
Data Visualization with Python
********** Machine Learning **************
Artificial Neural Networks [ Comprehensive Sessions]Naive Bayes Classifier with Python [Lecture & Demo]Natural Language Processing for Data Scientists
Linear regression
Logistic regression
Decision Trees
Introduction to clustering [K – Means Clustering ]********** Deep Learning Masterclass 2022 ****************
Deep Learning Masterclass 2022 (Video Sessions and from Top Universities)
New York University : NYU Deep Learning SP21
Deep Convolutional Generative Adversarial Networks (DCGAN) & GAN 1
Extra Reading
********** Java & Web For Data Scientists ********
Java programming for Data Scientists
Java – Concurrent Programming
Web Development for Data Scientists
********** Machine Learning / Deep Learning Projects with Source code *****
Self-supervised learning in Computer Vision with Yann LeCun, Alfredo Canziani,
AutoNovel: Automatically Discovering and Learning Novel Visual Categories [code]Facebook AI Releases ‘BlenderBot 2.0’: An Open Source Chatbot [Code & Paper]Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval [Code & Paper]Image Search multilingual text2image search for 50+ languages.
Presentation video for “Depth from Camera Motion and Object Detection,”CVPR 2021
Real-Time Super-Resolution System of 4K-Video Based on Deep Learning[Code,Paper]DeepFace 0.0.60 Deepface is a lightweight face recognition and facial attribute
TensorFlow 2 quickstart for beginners
TensorFlow 2 quickstart for experts
Basic classification: Classify images of clothing [Code & Guidance]Basic text classification – Code [ TensorFlow ]Introduction to Autoencoders
Audio recognition: Recognizing keywords
40 Machine Learning Algorithms with source code and guided tutorial
500+ Artificial Intelligence Projects with source
********** Live Class Recordings 2022 *********
Live Class Recordings – Introduction to Program Design
Live Class Recordings – Concurrent Programming
Live Class Recordings – Machine Learning & Data Mining -L5 [2022]Research Discussions
Live Class Recordings – Machine Learning & Data Mining -L7 [2022]Advanced Big Data Analytics”

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Here are some frequently asked questions about learning Data Mining

How Long Does It Take to Learn Data Mining?

The answer to the question “How long does it ttake to learn Data Mining” is … it depends. Everyone has different needs, and everyone is working in different situations, so the answer for one person might be entirely different than for somebody else.

Think about these questions: What are you trying to Learn Data Mining for? Where is your starting point? Are you a newbie or do you have experience with Data Mining? How much can you practice? 1 hour per day? 40 hours each week? Check out this course about Data Mining.

Is Data Mining Easy Or Hard to Learn?

No, learning Data Mining isn’t hard for many people. Check this course on how to Learn Data Mining in no time!

How to Learn Data Mining Fast?

The fastest way to Learn Data Mining is to first get this Data Mining course, then practice whatever you learn whenever you can. Even if its simply 15 minutes a day of practice. Consistency is essential.

Where to Learn Data Mining?

If you want to explore and learn Data Mining, then Udemy offers you the best platform to learn the Data Mining. Check this course on how to Learn Data Mining in no time!

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