Data Mining Courses
Data mining is the process of exploring and analyzing extensive data for discovering information and meaningful patterns to predict future outcomes. Data mining courses help you get comfortable managing different structured and unstructured data to resolve critical business predicaments with the help of machine learning and deep learning techniques. With practical training and hands-on experience of theoretical concepts and business perspectives, applicants can learn flexible and cost-efficient data mining methods. These certification classes teach practical ways of data integration, data refining, pattern evaluation, and data presentation. Check out the following data mining courses online to master the skill at your own pace.
List of The Best Data Mining Courses with Training & Certification
Numpy, Pandas, Matplotlib, Seaborn, Neural Networks, Time Series, Market Basquet Analysis, GUIs, MySQL and much more!!
Develop SSAS cubes from data warehouse on Multidimensional & Tabular modes with Dimensional & Data Mining Models
Learn how to create Machine Learning algorithms in Python and use them in Data Mining
This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital sp... read more
All data science begins with good data. Data mining is a framework for collecting, searching, and filtering raw data in a systematic matter, ensuring ... read more
Process mining is the missing link between model-based process analysis and data-oriented analysis techniques.
Analyze Text, Discover Patterns, Visualize Data. Solve real-world data mining challenges.
Learn Regression Techniques, Data Mining, Forecasting, Text Mining using R
Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.
A proper predictive analytics and data-mining project can involve many people and many weeks. There are also many potential errors to avoid.
Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications.
In this course, you will gradually and practically learn the basic concepts of Data Mining, along with the algorithms most used today.
How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.
Learn the theory behind running a mine and see if you've got what it takes to explore, plan, operate and close a mining operation.
Outlier Detection in Data Mining, Data Science, Machine Learning, Data Analysis and Statistics using PYTHON,R and SAS
Learn to use the "Data Mining with R" (DMwR) package and R software to build and evaluate predictive data mining models.
Learn Data Mining - Clustering Segmentation Using R,Tableau
Learn to use the GUI-based comprehensive Data Miner data mining software suite implemented as the rattle package in R
Unraveling the mysteries of Data Mining and Big Data, this course is a must-have for any budding Data Scientist.