Udemy Data Mining Courses & Certifications

The Data Science: Data Mining & Natural Language Processing in R online course is a study about the clustering, classification, and regression of data in R with the help of data preprocessing, data visualization, and machine learning. The course is provided by the online education platform Udemy for the students who are interested in learning data science with R fundamentals and strategies.

The course curriculum is developed with thirteen hours of video content, four articles, and ten downloadable resources that can be learned by the students at their speed and convenience. The educator for this online program is Minerva Singh who will guide the students with discussions on data mining, web-scraping, text mining, and natural language processing. 

The Data Science: Data Mining & Natural Language Processing in R training program enables the students to gain knowledge through experimental learning strategies and applications. The candidates are given the course certificate after completing the online training.

The ‘Information Retrieval and Mining Massive Data Sets’ online course is developed for the learners to gain knowledge about the different methodologies and strategies required to create an Information Retrieval system. The program is provided by the online education platform Udemy. The course curriculum consists of thirty-nine hours of videos and lectures which can be learned independently by the students at their own pace.

The course instruction is provided along with the English language subtitles that aid in a better understanding of the concepts. The theoretical concepts and the practical application of information retrieval and mining large data sets are engaged by the students and guided by the course instructors, Omkar Despande and the Mentors Net.

The ‘Information Retrieval and Mining Massive Data Sets’ training program equips students with the opportunity to have access to the course materials any time and the students will receive the course completion certificate after finishing the course.

The Outlier Detection Algorithms in Data Mining and Data Science online course is about the basic and advanced techniques and strategies of outlier detection with improving the programming skills with the algorithm application in Python, R, and SAS. The Outlier Detection Algorithm course is developed and provided by the online education platform Udemy for students interested in learning fraud detection and intrusion detection.

The course curriculum consists of two and half hours of video content and ten downloadable resources available to the students at any time to access after joining the program. The course instruction is offered by the KDD expert, a data scientist, and a professional with data mining, data analysis, and machine learning. 

The ‘Outlier Detection Algorithms in Data Mining and Data Science’ training program is a self-paced learning program that provides the students a course completion certificate after finishing the course study. The online program helps the students gain an opportunity in learning about the theoretical and practical applications of the outlier detection techniques in data mining and data science.

Data mining is the process of turning raw data into data that makes sense. Research is the foundation of data mining, so many organizations use the data mining process to turn data into useful information. It helps organizations come up with more creative strategies, boost sales, bring in more money, and grow their businesses by cutting costs. Data-driven projects need to mine and analyze data well in order to be successful. All of the data is stored in the data warehouse before it is used for business intelligence. Data mining and data analysis are both parts of business intelligence, but the terms for them are different. Data mining and data analysis are similar, which makes it hard to tell them apart. SQL Server Analysis Services - SSAS, Data Mining & Analytics certification is made available by Udemy to those interested in gaining expertise with SQL server analysis services language for expressing queries over tabular and other forms of data.

SQL Server Analysis Services - SSAS, Data Mining & Analytics online training Includes 7.5 hours of video,20 articles, six downloadable resources, and one practice test. and a digital certificate upon course completion.

SQL Server Analysis Services - SSAS, Data Mining & Analytics online classes consist of fundamentals and technology, SSAS installation, Data Source, and Data Source Views, multidimensional expression, administration, advanced techniques, performance tuning, and basics of data mining using SQL.

Data management collects, organises, protects, and stores an organisation's data for business decisions. Data management solutions are needed to make sense of massive amounts of data as organisations create and consume it at unprecedented rates. Leading data management software ensures that accurate, current data drives decisions. The software prepares, catalogs, searches, and governs data, making it easy to find for analysis. Data management is the first step to scaling data analysis, which yields valuable customer insights and increases revenue. Effective data management allows organisation-wide access to trusted data for queries. R Data Pre-Processing & Data Management - Shape your Data! certification available by Udemy to candidates who want to learn how to prepare their data for excellent R-based analytics.

R Data Pre-Processing & Data Management - Shape your Data! online training Includes six hours of video,14 articles, five downloadable resources, and a digital certificate upon course completion.

R Data Pre-Processing & Data Management - Shape your Data! Online classes consist of introduction, data importing, data cleaning, and querying with data. table, query exercises, dplyr,  integrate SQL, outlier detection, working with strings, and data management and time series

Data mining is the process of sifting through large data sets to identify patterns and relationships that can be utilized in data analysis to solve business problems. Techniques and tools for data mining enable businesses to anticipate future trends and make more informed business decisions. Data mining is a crucial component of data analytics and one of the fundamental disciplines of data science, which employs advanced analytics techniques to extract useful information from data sets. Data mining is a component of the knowledge discovery in databases (KDD) process, which is a data science methodology for collecting, processing, and analyzing data. 

Regression, Data Mining, Text Mining, Forecasting using R online training Includes 33 hours of video, five articles, 36 downloadable resources, and a digital certificate upon course completion. Regression, Data Mining, Text Mining, Forecasting using R online classes comprised of data science, statistics, hypothesis, basic programming using R, predictive analytics, data mining, mixed data, and dimension data analysis

Companies mine data for insights. Businesses can better understand their customers, boost sales, and cut costs by using software to find patterns in large data sets. Data mining requires data collection, storage, and processing. Data is collected and loaded into data warehouses, next, they store and manage data on in-house or cloud servers. Management, business analysts, and IT professionals organize the data. Then, the application software sorts the data based on the user's results, and the end user shares the data in a graph or table. Data Mining with R: Go from Beginner to Advanced! certification is made available by Udemy to candidates who want to learn R software can be used to analyze data, show how it looks, and do numerous data mining tasks.

Data Mining with R: Go from Beginner to Advanced! online training Includes 12 hours of video,17 downloadable resources, and a digital certificate upon course completion.

Data Mining with R: Go from Beginner to Advanced! online classes consist of data types and structures in R,  data and file input and output,  visualizing data, decision trees, linear modeling regression, regression and GLM, agglomerative hierarchical clustering, and cluster analysis

Python is a general-purpose, high-level programming language. Its design philosophy prioritizes code readability by employing extensive indentation. There is dynamic typing and garbage collection in Python. It's compatible with a number of programming styles, including procedural, object-oriented, and functional. It has a large standard library, so it is often called a "batteries included" language. Python can be used for more than one type of programming. Full support for Object-Oriented and Structured Programming; partial support for Functional and Aspect-Oriented Programming including metaprogramming and metaobjects. Extensions support numerous other paradigms, including design by contract and logic programming. Learn Data Mining and Machine Learning With Python certification is made available by Udemy to candidates who want to master all aspects of data mining and its applications.

Learn Data Mining and Machine Learning With Python online training Include 8.5 hours of video,  eight articles, 38 downloadable resources, and a digital certificate upon course completion.

Learn Data Mining and Machine Learning With Python online classes consists of an introduction to data mining, Installation of anaconda package, supervised learning algorithms, unsupervised, and deep learning

Companies mine data for insights. Businesses can use software to find customer patterns in large data sets to improve marketing, sales, and costs. Gathering, storing, and processing data are all necessary steps in data mining. Each piece of data is mined in a series of five steps. Information is gathered and stored in data warehouses. Finally, they use local or remote servers to keep everything organized and safe. Information technology, business analysis, and management coordinate the data organization. The data is then organized by the app based on the user's input, and the final product can be shared with others in the form of a table or graph. More Data Mining with R certification is made available by Udemy to candidates who want to master market basket analyses and association analysis concepts.

More Data Mining with R online training Includes 10.5 hours of video, 11 downloadable resources, and a digital certificate upon course completion. More Data Mining with R online classes incorporates an introduction to R and data mining,  association analysis, association rules and lift, social network analysis, preprocessing Twitter data, string manipulation, and time series

Its fast data analysis makes tableau popular. Dashboards and worksheets visualize data. Tableau lets one create dashboards with actionable insights to advance the business. When configured properly, Tableau products run in virtualized environments. Data scientists use tableau for unlimited visual analytics. maps, graphs, charts, and other visuals are used to visualize data. Data visualization makes dataset trends, insights, patterns, and connections easy to understand. Many enterprises and businesses use Tableau to better understand their data and provide the best customer experience. Data Mining - Clustering/Segmentation Using R, Tableau certification is made available by Udemy to candidates who want to learn about the usage of R for building various models

Data Mining - Clustering/Segmentation Using R, Tableau online training Include seven hours of video,  one article, six downloadable resources, and a digital certificate upon course completion.

Data Mining - Clustering/Segmentation Using R, Tableau online classes consists of clustering using R, understanding tableau, analysis of Variance, clustering using tableau, and cluster analysis.

Data mining involves the use of methods from machine learning, statistics, and database management systems to discover and extract patterns from large data sets. The goal of data mining, which spans the disciplines of computer science and statistics, is to take a dataset and, with the help of algorithmic analysis, derive useful insights from it. Data mining is the "knowledge discovery in databases" (KDD) analytical phase. In addition to the raw analysis, it consists of database and data management, data pre-processing, model and inference considerations, interestingness metrics, interconnectivity aspects, post-processing of discovered structures, visualization, and online updating. Data Mining with Rattle certification is made available by Udemy to candidates who wish to learn more about life-cycle data mining with the widely used data miner

Data Mining with Rattle online training includes 15 hours of video, 15 resources that can be downloaded, and a digital certificate when the course is done.

Data Mining with Rattle online classes consisting of rattle interface and tabs, introduction to data mining, loading and describing data in rattle, interactive data exploration, cluster analysis, association analysis, decision trees, random forests