Online Data Mining Courses & Certifications

The Practical Approach to Data Mining and Analytics online certification course is offered for the candidates to develop an understanding of the basic to advanced level concepts and principles of data mining and data analytics for processing and transferring data effectively for decision making. This certification course is provided by the TCS iON digital learning hub and this honors certification improves the skills and knowledge of data analysis in the students.

The course curriculum comprises several theoretical and practical methodologies that allow students to gain competence in data management in the business industry. The students of the online program are given academic and industrial guidance from mentors like Dr. Rajendra Pamula (Assistant professor in computer science and engineering) and Sugato Samanta(domain consultant in the Tata Consultancy Services). The students of the ‘Practical Approach to Data Mining and Analytics’ online training program will be given digital certificates according to their qualifications. The course duration is planned for five to six months.

The course is an ideal solution for all individuals who want to establish themselves in the field as professional Data Scientists. The two-month-long online certification course on Data Mining with Python by DataMites provides the students with expert guidance and supervision. The course will provide the students with an expert faculty who will be guiding the students to develop detailed skills in the subject of python and data mining. The students will also be practising multiple case studies to have their skills enhanced.

The aim of the Data Mining with R Course certification course is to educate students regarding the fundamentals of the R programming language as well as Machine Learning concepts and Data Science topics. The course can be pursued in both ways, virtually and in person. 

The course has flexible deadlines and does not limit the student in any way.  Candidates can complete the Data Mining with R Course certification syllabus within 3 months. The course material includes various projects, case studies, video lectures, and an exam. 

The course neither requires any specific academic eligibility nor professional eligibility so that every interested student can take up the programme and learn from it. The Data Mining with R Course online course provides certification upon the completion of the programme only after achieving passing grades in the exam for certification.

With the rise in competition in the market, to provide the best customer service the demand for Data Mining professionals is at an all-time high. Data Mining is the process of collecting raw data from a business and turning it into meaningful information, which can be researched to detect customer buying patterns, launching campaigns, and even detecting spam and fraud. Data Miners break down the data provided to find patterns as requested. 

Data Mining is decoding sequential patterns and associations to highlight any growing trend in customer behaviour. Companies can use Data Mining software to classify and detect information as requested. Such a technique is used in many industries such as restaurants and supermarkets.

The process of data mining involves different steps. First, data is loaded in data warehouses, then data is managed or stored in the cloud or in the company. The data is accessed by management teams, business analysts, and information technology professionals to determine how it will be organised. Then, the software forms the data on the basis of the user, and the data is then presented in an easy to share format.

Data mining is the study of algorithms. It finds patterns in large data sets. It is an interdisciplinary subject that involves machine learning, algorithms, and databases. The Data Mining program will provide a comprehensive and holistic view about this integral subject of modern industry. 

Participants of the course will learn about basic algorithms like classification, data pre-processing, visualization, association rules, and sequence mining. With regular assignments and case studies, participants are offered a well-rounded understanding of the subject of this course. 

Data Mining is an eight-week program presented on the online learning platform Swayam. The course syllabus is designed by the Indian Institute of Technology, Kharagpur Professor Pabitra Mitra will be teaching this course. It is an undergraduate course in the field of computer science and engineering. Candidates can also opt for certification, for which they will have to sit for an offline exam.

The Applied Data Mining with Business Applications course is open to all interested participants. Candidates who get enrolled in the course will be able to learn about data mining roles, usage of new software tools, the relationship between two variables, the role of data mining, etc. The course does not limit the students with any prerequisites or time limitations. 

Candidates can complete the Applied Data Mining with Business Applications course syllabus within 3 days and can take as much time as they require according to their schedules. The self-paced learning environment helps the candidate in learning from the contents to the fullest. 

The Informatica Certification Training Course programme by Edureka has been prudently tailored to align with the industry requirements and demands. The course curriculum covers the concepts and skills necessary for performing the configuration of Informatica PowerCenter. Also, you will learn about the architecture of Informatica, advanced transformations, installation, performance tuning, and data migration.

The course focuses on features like debugging, troubleshooting, and Informatica's handling of errors. You will also learn about the effective administration of the tool. Candidates will master identifying the best practices for the overall success of the ETL process and maintaining the repository efficiently. 

Industry professionals with relevant field experience have crafted the Edureka Informatica Certification Training Course programme. Besides, the course is an instructor-led training; hence you will get the opportunity to hold valuable interactions with the instructors. This certification will help you in accelerating your career.

If you want to be a professional in Data Mining and Warehousing, Vskills Data Mining and Warehousing Certified Professional program is the right place for you. Just like the actual Mining, it is the process of extracting information and other patterns from very large sets of bulky data with the use of different statistical techniques and methods & artificial intelligence skills and strategies with database management. 

The certification on Data Mining helps the learners to apply algorithms and strategic techniques to solve and convert the interesting and actual data mining challenges for the professionals.  Data quality and converting methods and techniques for pre-processing the large amounts of available, bulky data. 

Modeling and design of data warehouses, clustering and association rule analysis, application of Algorithms for classification. With the Practical use of software for data analysis, it helps in the field, for professionals to know the fundamentals.

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,  eleven articles, 32 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