List of Online Courses and Certifications

Edureka’s Data Analytics with R Programming Certification Training course imparts the necessary skills and knowledge of a fluent analytics professional. Hence, the curriculum will help you learn core topics such as collaborative filtering, data mining, sentiment analysis, data visualisation, exploratory data analysis, regression, etc. You will also establish the command of using the R Studio for real-time case studies on social media and retail.

The Data Analytics with R Programming Certification Training curriculum features instructor-led live online classes, practical assignments, a 24x7 online support, a community forum for peer interaction, and immersive project work. These will enable you to undergo an interactive and fruitful learning journey, establishing a firm foundation of Data Analytics with R. 

Once you complete all the lessons, project work, and case studies, you will receive the Data Analytics with R Programming Certification Training. The accreditation will help you showcase your acquired skills and pursue employment profiles in coveted organisations. Besides, Edureka will also provide a ‘resume builder tool’ with your e-learning LMS to help you form a robust resume and ace recruitment. 

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 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 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

The Learn Data Science + Machine Learning Online certification course is provided by CodingNomads. The online course in Learn Data Science + Machine Learning Online deals with topics such as Machine Learning algorithms, data science, data modeling, and evaluation, etc. Candidates who enrol in the course get to learn through the in-built study material that includes projects, quizzes, documentation pages, along video lectures. 

The Learn Data Science + Machine Learning Online certification syllabus takes around 12 weeks of time to get completed if students decide to spend 5-15 hours per week. Students need to have just 3 months of work experience to apply for the course. Also, students must have basic python coding skills and knowledge of algebra to get into the programme. The Learn Data Science + Machine Learning Online classes by CodingNomads can also be joined freely at zero cost. The Learn Data Science + Machine Learning Online course allows flexibility and can be attended by the student at any time depending upon their schedules. In the end, students get to acquire a certificate of completion. 

The Master's Program in Data Science and Machine Learning Online Course focuses on the concepts and techniques of data science and machine learning. This Master's programme taught by experts aims to explore the role of data-driven strategies in the modern digital world.

The Master's Program in Data Science and Machine Learning Certification Course is suitable for students interested in the domains of computer science and computer science engineering. The programme constitutes 6 main courses that delve deep into the theoretical and practical applications of machine learning and data science.

After the successful completion of the Master's Program in Data Science and Machine Learning Live Course, learners will receive a course certificate. Candidates have the option to attend demo sessions of the course from technical specialists before deciding to enrol.

The Python for Data Science and Machine Learning Bootcamp online course is a study about Data Science that focuses on the software programming language Python to assess data, create data visualizations, and techniques to utilize machine learning algorithms. This online course is provided by the online education provider Udemy for the students who wish to develop their skills in Data Science.

The course instruction is done by the course educator Jose Portilla, the head of Data Science at Pierian Data Inc. This Data Science program engages students in theoretical concepts and practical learning of the programming language and algorithms. This online course enables the students to upskill themselves as Data Scientists.

The online video lectures, articles, and other resources aid in the enhanced discussion of concepts and principles of data science. The student of the ‘Python for Data Science and Machine Learning Bootcamp’ training program is given the course certificate after completing the course.

The Python for Machine Learning & Data Science Masterclass is a pretty small certification course that is designed by Udemy. This course will teach Python along with tools like Pandas, Numpy, Scikit-Learn, Matplotlib, and more. The certificate has a very high rating of 4.7 stars out of 5. This course is made ready for students who already know a little bit of Python but are definitely ready to dive deeper to get accustomed to the skills of Python for Data Science and Machine Learning.

With the Python for Machine Learning & Data Science Masterclass training, the participants can be working in the largest tech companies as data scientists. They get trained in such ways that they turn out to be extremely hirable, and favourable candidates in today's workplace environment. Designed to be delivered both in-person, this course is balanced shuffling between the practical, and real-world case studies with the theory of mathematics.

The Learn Data Science and Machine Learning with R from A-Z online certification address the real statistical computer science topics such as programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organising and commenting on R code as well as how to utilise R for successful data analysis, visualisation, and practical data application.

Learn Data Science and Machine Learning with R from A-Z certification course is created by Juan E Galvan - Entrepreneur, Web Developer & Instructor and offered by Eduonix, an E-learning platform focused at both beginners and experts to help them develop new skills and polish the existing. Learn Data Science and Machine Learning with R from A-Z syllabus covers six main sections such as Data Science + Machine Learning course + R Programming Intro, Data Types/Structures in R, Data Manipulation in R, Data science in R, Machine Learning, and Starting a Data Science Career. The course offers more than 28.83 hours of pre-recorded videos in 81 separate lectures. 

Complete A.I. & Machine Learning, Data Science Bootcamp certification course is designed by Andrei Neagoie - Founder of zerotomastery.io & Senior Software Developer, Daniel Bourke - Machine Learning Engineer, Writer, Videomaker and Instructor, and Zero To Mastery, which is offered by Udemy. Complete Machine Learning & Data Science Bootcamp 2022 online course focuses on offering the most up-to-date learning resources regarding machine learning and data science, so students do not have to go through outdated learning materials.

Complete A.I. & Machine Learning, Data Science Bootcamp online training is a thorough and project-based course that introduces learners to all of the abilities that a data scientist must possess. This course includes more than 40 hours of extensive video lectures that aim to teach the core concepts of data science and machine learning, as well as topics such as data visualization, data analysis, and teaches about various technologies that allow individuals to gain real-world experience with data science projects, such as Python, TensorFlow, neural networks, deep learning, and NumPy.

SQL is required for handling structured data by a data scientist. Considering that relational databases are used to store structured data. Therefore, a data scientist needs to be well-versed in SQL commands to query these databases. Master SQL For Data Science certification course is designed by Imtiaz Ahmad - Senior Software Engineer & Trainer, which is delivered by Udemy for learners who wish to master the fundamentals of data science using the features of the structured query language.

Master SQL For Data Science online classes encompasses 9 hours of video-based learning materials along with 4 downloadable study resources and assignments that are intended to offer learners a foundation in SQL and dealing with data so they can start analyzing it for data science applications. Master SQL For Data Science online course covers the fundamentals of SQL statements, SQL queries, CASE clauses, window functions, and advanced querying methods including aggregations, subqueries, rollups, cubes, joins, transposing & ranking data, and using conditional expressions.

Data integration from a variety of sources is made possible by the Microsoft cloud service Azure Data Factory, which is part of the Azure platform. When creating combination extract-transform-load (ETL), extract-load-transform (ELT), and data integration pipelines, Azure Data Factory is the optimal solution. David Charles Academy - Big Data Engineer & Consultant at ABN AMRO, developed the Azure Data Factory for Beginners - Build Data Ingestion online certification, which is provided by Udemy.

Azure Data Factory for Beginners - Build Data Ingestion online course involves more than 12.5 hours of lectures supported by 6 downloadable resources, which is intended for those who want to learn data engineering methods for creating metadata-driven frameworks using Azure data engineering tools like Azure data factory, Azure SQL, and Azure DevOps. Azure Data Factory for Beginners - Build Data Ingestion online classes also discusses the concepts and strategies involved with email notifications, event-driven ingestion, version management, data lake, and more. 

Python for data engineering primarily consists of data manipulation such as restructuring, integrating, and connecting widely divergent sources, as well as comparatively tiny ETL, API interaction, and automation. The Academy of Computing & Artificial Intelligence designed the Data Engineering with Python online certification, which Udemy presents for applicants who want to learn how to develop effective data architecture, streamline data processing, and maintain large-scale data systems.

Data Engineering with Python online classes offers 14 hours of comprehensive lectures supported by downloadable resources and 3 articles that aims to help the applicants to improve their python programming skills to move into domains such as data science, machine learning, and artificial intelligence. Data Engineering with Python online course discusses supervised learning, unsupervised learning, clustering, logistic regression, linear regressions, random forest, trees, naive Bayes, and more.

Business Analytics Course is a online certification that aims to provide a comprehensive understanding of analytics in the business context. This course covers a broad spectrum of relevant topics. The Business Analytics Course certification by SkillSlash lays a strong foundation in analytics, ensuring participants acquire a fundamental understanding of data analysis and interpretation. This foundational knowledge serves as a crucial building block for more advanced concepts introduced later in the course.

One key aspect of The Business Analytics Course certification is its practical application. The course incorporates hands-on exercises, case studies, and real-world scenarios to provide participants with practical experience. This approach bridges the gap between theoretical concepts and their real-world implementation, enhancing the participants' ability to apply analytical skills in professional settings.

A significant focus of the Business Analytics Course is on developing decision-making skills. Participants will learn how to derive actionable insights from data, empowering them to make informed decisions that contribute to the success of their organisations. This emphasis on decision-making aligns with the strategic role that analytics plays in modern business environments.

Moreover, the Business Analytics Course certification offers industry-relevant insights, ensuring that participants are exposed to analytics scenarios applicable to various professional domains. This diversity prepares them for the challenges of working in different industries and sectors, enhancing the versatility of their skills.

Also Read: Business Analytics Certification Courses

The Customized Corporate Training course is being offered by Boston Institute of Analytics (BIS). This Customized Corporate Training course is designed to empower organisations by upskilling employees in emerging technologies and business-critical skills. This Customized Corporate Training course offers a flexible, fully tailored curriculum that aligns with participants' company's unique requirements. This Customized Corporate Training course leverages hands-on projects, real world case studies and expert mentorship to ensure that participants gain practical expertise applicable immediately in their roles.