List of Online Courses and Certifications

ITIL is regarded as the single point of interaction between both the service provider and the clients at a service desk. A pretty standard service desk manages occurrences and service requests, as well as user communication. A service desk application is a ticket management tool that enables businesses to implement efficient workflows for both inner and consumer-relevant departments. Juan Sebastian Garcia - Specialist in CHFI, CCNA, ENA, and ACE created the Service Desk and ITIL Fundamentals online certification, which is available on Udemy.

Service Desk and ITIL Fundamentals online training is a comprehensive program that teaches applicants a variety of details to better comprehend and enhance the effectiveness of any service desk or helpdesk as well as explains to them the best practices for integrating monitoring tools into an IT service, as well as the different types of events and how to manage them. With Service Desk and ITIL Fundamentals online classes, applicants will thoroughly consider various types of service desks and best practices for their approach focusing on a company's and its IT department's characteristics.

Apache CouchDB is a free and open-source Erlang-based memorandum database management system that is used to contain, transmit, and analyze its data, CouchDB makes CouchDB employs a variety of combinations and rules to manage. The programming language being used MapReduce is JavaScript, and the API is HTTP API, where data is stored in JSON format. Learn CouchDB- A Beginner to Advanced Guide certification course is designed by Techno Crats - an educational platform, which is made available through Udemy for the learners who want to obtain the knowledge of the foundational and advanced concepts associated with CouchDB to make a career in big data and NoSQL databases.

Learn CouchDB- A Beginner to Advanced Guide online training is a self-paced program with 4 hours of digital lessons that aim to provide learners with a thorough understanding of the fundamental and sophisticated methodologies of CouchDB. Learners will learn about all CouchDB-related topics in the Learn CouchDB- A Beginner to Advanced Guide online course, including CouchDB fauxton, HTTP API, CouchDB, MongoDB, creating documents, creating databases, updating documents, mango query, Postman API, and CouchDB connectivity using JAVA, Python, and PHP.

Information technology service management refers to the processes carried out by an organization to construct, develop, deliver, manage, and regulate the information technology services provided to customers. IT Service Management: develop SLA, Service Catalog, OLA certification course is designed by Danil Dintsis - Project Management & IT Service Management Expert and delivered by Udemy for learners who want to gain knowledge of the principles and strategies involved with IT service management.

IT Service Management: develop SLA, Service Catalog, and OLA online classes provide an hour-long prerecorded lecture accompanied by 9 downloadable resources and assignments that teach learners about the techniques and strategies to generate SLA, OLA, and PBA. IT Service Management: Develop SLA, Service Catalog, and OLA online training aims to provide the best IT management practices and assist both IT managers and business managers in creating business value through the use of IT services. With this service management course, learners will also gain knowledge about service catalogs, catalog management, service level management, service demand management, IT services, and more.

IT management, also known as information technology management, refers to how individuals organize their company's information system. This can include experts in charge of managing their company's innovation, management software, or any other related events. Emilio Aguero - IT Professional & Instructor created the IT Management Fundamentals - From IT Tech to IT Manager online certification, which is available through Udemy.

IT Management Fundamentals - From IT Tech to IT Manager online classes are designed for candidates who to improve their skillset and responsibilities to progress into the department of IT management to advance in their professional careers. IT Management Fundamentals - From IT Tech to IT Manager online course is a 5-hour long program supported by 46 downloadable resources that will provide candidates with the extremely important knowledge and management skills, responsibilities, and obligations they need to understand to become excellent and efficient IT managers.

Build apps with Ionic 3, PouchDB, CouchDB and use Offline online certification is created by Nataniel Paiva - Engineering Leader & Teacher, which is offered by Udemy which is aimed at the participants who want to acquire the knowledge of the strategies and techniques utilized to build an application using the core functionalities and approaches associated with programs like PouchDB, CouchDB and Ionic to advanced in their professional careers.

Build apps with Ionic 3, PouchDB, and CouchDB, and use Offline online classes by Udemy involve 2 hours of digital lectures accompanied by 6 downloadable resources which will enable participants to create an application simply, synchronize the app data with a NoSQL database, and store internal information with the PouchDB database. By building apps with Ionic 3, PouchDB, and CouchDB and using an Offline online course, participants will also be taught to generate apk for Android, as well as publish a web version to GitHub pages and operate the database on Google cloud.

Apache NiFi is an integrated information logistic support platform for computerizing data movement among distributed components. It offers actual control, making it simple to handle data movement between any origin and any destination. Stephane Maarek - AWS Certified Cloud Practitioner, Kafka Expert, Solutions Architect & Developer created the Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online certification, which is available through Udemy.

Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online classes contain 2 hours of prerecorded lessons supported by 3 articles and downloadable resources that are aimed at applicants who want to learn about the foundations of Apache NiFi technology. With the Introduction to Apache NiFi | Cloudera DataFlow - HDF 2.0 online course, applicants will learn about Cloudera dataflow, data streaming, and HDF, as well as how to establish their connectors, processors, and how to interpret their FlowFiles to make the most of what NiFi has to provide.

The Projects in Hadoop and Big Data - Learn by Building Apps certification course was created by Eduonix Learning Solutions in collaboration with Eduonix Tech & Eduonix Support and is offered by Udemy, which is intended for students who want to use Hadoop and big data functionalities at work and who want to become proficient in the methods for implementing big data technologies.

Projects in Hadoop and Big Data - Learn by Building Apps online course is a short-term program that consists of 10 hours of lectures accompanied by an article and 19 downloadable resources with the goal of assisting the students in learning the techniques to develop Hadoop solutions that will address real-world issues. With the help of the Projects in Hadoop and Big Data - Learn by Building Apps online classes, students will learn about the theories and methods underlying big data analytics, application development, data science, real-time streaming, Hadoop analytics, data visualization, and much more.

Hadoop is a free and open-source framework. Apache provides it to analyze and visualize huge amounts of data. Hadoop is implemented in Java and is presently used by companies like Facebook, Google, LinkedIn, and Twitter. Big Data and Hadoop for Beginners - with Hands-on Certification is a course developed by Andalib Ansari - Big Data Architect and made available by Udemy for learners who want to learn the fundamental and advanced concepts of big data and Hadoop.

Big Data and Hadoop for Beginners - with Hands-on online training is a 3-hour program that includes 2 articles and 7 downloadable resources to help learners comprehend the intricate architecture of Hadoop and its components, as well as guide them in the correct direction to begin working with Hadoop and its elements. Big Data and Hadoop for Beginners - with Hands-on online course covers big data analytics, HDFS, data pipelines, sample queries, data lakes, data sets, Hive, and Pig, as well as provides an understanding of the big data market, job roles, technology trends, Hadoop history, and Hadoop ecosystem.

Amazon Web Services offers a comprehensive and fully integrated portfolio of cloud computing services that can help individuals in developing, securing, and deploying big data applications. Individuals can focus their assets on revealing new insights because there is no equipment to purchase and no infrastructural facilities to maintain and scale with AWS. The Big Data on Amazon Web Services (AWS) online certification was created by Learnsector LLP, an educational organization that offers information technology courses, and is delivered by Udemy.

Big Data on Amazon web services (AWS) online course involves 7 hours of digital lectures accompanied by 5 articles and 5 downloadable resources which are created to help participants gain practical experience with AWS and big data strategies on the cloud. Big Data on Amazon Web Services (AWS) online classes aimed at simplifying the process of using big data tools on AWS while also discussing various concepts and strategies related to cloud computing, business intelligence,  data warehousing, artificial intelligence, data migration, machine learning, big data analytics, and more.

Apache Hadoop is an open-source platform for storing and processing huge databases ranging in size from megabytes of data to petabytes. Instead of storing and processing data on a single large computer, Hadoop allows for the grouping of multiple computers to analyze huge datasets in parallel more rapidly. Big Data Hadoop - The Complete Course certification was developed by Telcoma Global, an organization that provides services to the Telecom & IT industries, and is offered by Udemy.

Big Data Hadoop - The Complete Course online training comprises more than 11.5 hours of digital lessons supported by two articles and is aimed at students seeking both basic and advanced skills in big data Hadoop. Big Data Hadoop - The Complete Course online classes covers the topics ranging from beginner to advanced level expertise for big data Hadoop certification, such as grid computing, data querying, data storage, data ingestion, and more.

Big Data is a massive collection of data that is growing rapidly over time. It is a data set that is so big and complicated that traditional data processing tools cannot store or process it proficiently. Big data is a type of information that is extremely massive in size. Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online certification is developed by Navdeep Kaur Instructor & Founder of TechnoAvengers.com and is offered by Udemy.

Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online course involves more than 11.5 hours of prerecorded lessons, 5 articles, and 21 downloadable resources which begin with an explanation of what the Hadoop distributed file system is along with the most prevalent Hadoop commands required to operate with Hadoop file system. Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo online training will also cover topics such as data migration, data ingestion, CRUD operations, data frames, and the functionalities of tools such as MySQL, Cassandra, Sqoop, Flume, Hive, and MongoDB.

The fields of big data, data science, and artificial intelligence are all interconnected in terms of research and technological advancement. Big data technology makes use of AI concepts and methods, and AI depends on abundant data sources and related big data technologies to advance and develop decision-making attributes. Intro to Big Data, Data Science, and Artificial Intelligence online certification is designed by Julia Mariasova- Management Consultant & Media Producer, which is made available through Udemy.

Intro to Big Data, Data Science, and Artificial Intelligence online training is a self-paced program that comprises 10 articles, 10 downloadable resources, and assignments that are intended for candidates who are interested in big data, machine learning, and artificial intelligence to advance in their professional careers. With Intro to Big Data, Data Science, and Artificial Intelligence online classes, candidates will also be taught about the functionalities of big data and data science in the fields like healthcare, manufacturing, logistics, transportation, real estate, and property management.

Big data processing is a collection of methods or programming models for gaining access to enormous amounts of data and extracting information that can be used to advise and assist management. Big data is used by businesses to enhance operations, deliver better customer service, develop individualized marketing campaigns, and carry out other tasks that can ultimately boost sales and profits. From 0 to 1: Hive for Processing Big Data certification course is designed by Loony Corn - IT Profesional & Instructor, which is delivered by Udemy.

From 0 to 1: Hive for Processing Big Data online classes offer more than 15.5 hours of extensive lectures supported by 137 downloadable study materials which are designed to help individuals learn how to manage Hive as their data warehousing solution and master the understanding of the techniques and tools available for big data analysis. From 0 to 1: Hive for Processing Big Data online training discusses the techniques and methodologies involved with query optimization, bucketing, partitioning, big data analytics, analytical queries, and more.

The Big Data and Hadoop for Absolute Beginners online certification have been created by Udemy IT Skills In Demand, an educational platform that teaches difficult skills in a straightforward manner, which is made available by Udemy for participants who want to transform themselves into big data engineers and Hadoop developers to advance in their careers by mastering the concepts and methods involved with big data and Hadoop from the ground up.

Big Data and Hadoop for Absolute Beginners online classes comprise more than 3.5 hours of digital learning resources that cover all the terms and concepts related to big data and Hadoop, including DataNode, NameNode, Secondary NameNode, TaskTracker, and JobTracker. The Big Data and Hadoop for Absolute Beginners online course explain the features of applications like HDFS, YARN, Amazon EC2, VMWare, and development environment as well as will learn about all the terms related to MapReduce programming and how to write programs using MapReduce.

Big data is a collection of organized, semi-organized, and unstructured data collected by businesses that can be extracted for knowledge and applied to advanced analytics tasks like predictive modeling and machine learning. Sundog Education, an educational platform that offers extremely advantageous skillsets in big data, data science, and machine learning in collaboration with Frank Kane, founder of Sundog Education, has created The Ultimate Hands-On Hadoop: Tame your Big Data certification course, which is made available through Udemy.

The Ultimate Hands-On Hadoop: Tame your Big Data online training is a self-paced program that provides more than 14.5 hours of video-based lessons accompanied by 8 articles and 2 downloadable resources which are intended for students who want to comprehend the broader Hadoop ecosystem and use it to store, analyze, and sell big data at scale. The Ultimate Hands-On Hadoop: Tame your Big Data online course covers various data engineering technologies including Cassandra, MongoDB, MySQL, Kafka, Spark, Hive, Flink, Storm, Presto, Hbase, ZooKeeper, Sqoop, Hue, Flume, Oozie, Mesos, Phoenix, Drill, and more.

Apache Spark is a strong and united analytics engine for handling large amounts of data. It involves Java, Scala, Python, and R APIs, as well as an optimized engine that supports general implementation graphs. Apache Spark with Scala - Hands On with Big Data online certification is designed by Sundog Education  - an educational platform that provides valuable professional skills in big data, data science, and machine learning in association with Frank Kane- Founder of Sundog Education, which is presented by Udemy.

Apache Spark with Scala - Hands On with Big Data online course offers 9 hours of hands-on lectures along with 3 articles which are designed to help candidates learn the technique of framing data analysis difficulties as spark problems using over 20 hands-on illustrations, and then scaling them up to operate on cloud computing services. Apache Spark with Scala - Hands On with Big Data online classes discuss topics like big data analysis, machine learning, data streaming, caching, partitioning, graph structures, structured data, data frames, Hadoop clusters, datasets, and more.

Big Data Testing is a process that involves looking over and confirming the capabilities of Big Data Applications. Big Data is the term for acquiring huge amounts of information that traditional storage solutions cannot manage. Learn Big Data Testing with Hadoop and Hive with Pig Script certification course is developed by Big Data Engineer and is made available by Udemy which is created for the learners who want to gain a thorough understanding of the methods involved with big data testing from the ground up.

Learn Big Data Testing with Hadoop and Hive with Pig Script online training contains 11 hours of video-based learning resources which focus on providing learners with the knowledge of the methodologies associated with big data testing to make their careers in the domain of big data testing. Learn Big Data Testing with Hadoop and Hive with Pig Script online course discusses topics like Unix, Linux, SED commands, AWK commands, and shell scripting as well as will acquire an understanding of the Hive query language for Hadoop data integration.

Developed by eBay Inc., Apache Kylin is a free software distributed analytics engine that supports multi-dimensional assessment (OLAP) on Hadoop and supports extremely large sets of data. Apache Kylin: Implementing OLAP on the Hadoop platform online certification is designed by Michael Enudi - Certified Instructor and is delivered by Udemy which is targetted at applicants who want to master the concepts and strategies related to the implementation of online analytical processing on the Hadoop platform using the functionalities of Apache Kylin.

Apache Kylin: Implementing OLAP on the Hadoop platform online training is a 6-hour education program accompanied by articles and case studies that will teach participants how to create and use Apache Kylin to query big data OLAP cubes. Apache Kylin: Implementing OLAP on the Hadoop platform online classes revolve around topics such as data streaming and big data analytics, as well as techniques for writing sophisticated aggregation queries of large datasets with low latency reaction times.

The Hadoop ecosystem is a framework or software that offers a variety of offerings to fix big data problems. Hadoop comprises Apache projects as well as a variety of commercial services and analytics. Learn Big Data: The Hadoop Ecosystem Masterclass certification course is designed by Edward Viaene - DevOps, Cloud & Big Data Specialist, and delivered by Udemy, which is intended for individuals who want to master big data concepts using Hadoop's functionalities.

Learn Big Data: The Hadoop Ecosystem Masterclass online classes incorporate 6 hours of video-based learning resources supported by articles and downloadable resources designed to provide individuals with foundational understanding to discuss real-world challenges and solutions with industry experts. Learn Big Data: The Hadoop Ecosystem Masterclass online training covers topics such as Pig, Hive, Spark, Hbase, HDFS, Hadoop stack, Hadoop security, high availability, query optimization, and how to utilize the commercial software in the big data industry presently, using both batch and real-time processing.

Azure data engineers incorporate, modify, and strengthen data from various structured and unstructured data system applications into structures suitable for constructing analytics solutions. Wadson Guimatsa - Data Engineer created the Data Engineering on Microsoft Azure: The Definitive Guide certification course, which is presented by Udemy and is intended for individuals who want to learn how to design data models, create data pipelines, and navigate large datasets on the Azure platform.

Data Engineering on Microsoft Azure: The Definitive Guide online course contains 12 hours of video-based lessons along with 23 downloadable study materials and 4 articles that focus on assisting individuals in the development of data warehouses, data lakes, and lakehouse architecture. Data Engineering on Microsoft Azure: The Definitive Guide online classes cover topics such as relational databases, data transformation, data analysis, and database query, as well as how to create a contemporary data and analytics platform using the extensive features of Azure data services.

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.

AWS data engineering guarantees fast constantly questioning to operate data analytics on massive amounts of information and feed data to various business intelligence tools, dashboards, and other implementations. Tushar Bhalla - Data Solutions Architect designed the Learn AWS Data Engineering certification course, which is delivered by Udemy for learners who want to gain both basic and advanced knowledge of the concepts associated with data engineering on the AWS platform.

Learn AWS Data Engineering online course is a short-term program that incorporates 1.5 hours of prerecorded learning resources to provide learners with a detailed understanding of the strategies involved to ingest data into AWS and build data warehouses. Learn AWS Data Engineering online classes cover data engineering and ETL framework as well as explain the methodologies associated with AWS Athena, AWS S3, AWS Kinesis, AWS Lambda, Amazon RDS, Amazon SQS, and more.

Spark Structured Streaming is a Spark SQL-based stream processing engine that processes data incrementally and upgrades the official outcome as new streaming data is received. Durga Viswanatha Raju Gadiraju - CEO at ITVersity and CTO at Analytiqs, Inc - created the Data Engineering using Kafka and Spark Structured Streaming online certification, which is offered by Udemy for candidates who want to master the concepts and strategies involved with data engineering using Apache Kafka and Spark structured streaming features.

Data Engineering using Kafka and Spark Structured Streaming online classes incorporates more than 9.5 hours of detailed learning resources along with 3 articles that help candidates learn about strategies for building streaming pipelines by integrating Kafka and Spark structured streaming. Data Engineering using Kafka and Spark Structured Streaming online training walks candidates through various data engineering topics such as data processing, incremental data processing, and data ingestion, as well as features of programs such as Hadoop, GCP, Hive, YARN, HDFS, and others.

BigQuery, a data warehouse product from Google, allows its users to store and search through terabytes or even petabytes of data without having to set up or maintain any infrastructure. Timotius Pamungkas, a software architect and Java software engineer, developed the Data Engineering with Google BigQuery & Google Cloud certification course, which is made available by Udemy to students who are interested in learning data engineering skills and knowledge to become qualified software engineers, data analysts, and data engineers.

Data Engineering with Google BigQuery & Google Cloud online training is a self-paced program that involves more than 6.5 hours of video-based lectures supported by 2 articles that aim to help the students gain the knowledge to understand how the Google cloud platform could integrate into the larger data and application architecture. With Data Engineering with Google BigQuery & Google Cloud online course, students will also be taught about topics like data sheets, data cleaning, data loading, data visualization, data preparation, data studio, file databases, and more.

Big data organize large datasets gathered from IoT devices, such as traffic conditions and residential efficiency information, into comprehensible datasets that inform businesses on how to optimize their processes. Implied Concepts AI - Authorized Academy & Consultancy designed the Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka certification course, which is presented by Udemy for learners who want to master the concepts and strategies associated with big data and IoT.

Learn Big-Data with PySpark, Spark Streaming, Spark ML and Kafka online classes encompass more than 3.5 hours of video-based lessons supported by articles and 15 downloadable resources which focus on teaching learners about IoT and big data using PySpark, Spark streaming, and Kafka. Learn Big-Data-IoT with PySpark, Spark Streaming, and Kafka online training cover topics like big data preprocessing, and data ingestion as well as cluster-based cloud computing with AWS EMR, Azure HDInsight, and GCP DataProc and Spark streaming with IoT data pipelines utilizing Kafka.

Data Analytics with Pyspark online certification was created by Wajahatullah Khan - Data Architect at Afiniti and is available on Udemy for applicants who want to learn the functionalities and concepts involved with PySpark for data analytics to build more scalable analyses and data pipelines to transform themselves into professional data engineers and data analysts and advance in their professional careers.

Data Analytics with Pyspark online classes by Udemy begins with an introduction to PySpark's ability to analyze large datasets and techniques for interacting with Spark from Python and connecting to Spark on Windows as individual computers. The Data Analytics with Pyspark online course includes 2 hours of learning materials, articles, downloadable resources, and quizzes on topics such as PySpark DataFrames, PySpark SQL, data extraction, data visualization, resilient distributed datasets, and will acquire the skills to perform better data analytics and use PySpark to easily analyze large datasets at scale in their organizations.

Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.

Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much more.

Apache Spark is an open-source distributed software framework and collection of library services for real-time, massive data processing, and PySpark is its Python API. Learning PySpark will help individuals build more configurable pipelines and analyses. The Hands-On PySpark for Big Data Analysis online certification was developed by Packt Publishing and is made available by Udemy, an education platform that offers programs to help participants advance their technical knowledge.

Hands-On PySpark for Big Data Analysis online course is a short-term program that involves 3.5 hours of learning material and 26 downloadable resources, which are intended for participants who want to learn the methods for analyzing big data sets and building big data platforms for machine learning models and business intelligence applications. Hands-On PySpark for Big Data Analysis online training discusses topics like data wrangling, data analysis, data cleaning, and structured data operations as well as explains the functionalities of Spark notebooks, Spark SQL, and resilient distributed datasets.

Big data pipelines are data pipelines that are built to facilitate one or more of the three characteristics of big data. The speed of big data makes it attractive to create big data streaming data pipelines. Data can be gathered and handled in real time, allowing for action to be taken. EBISYS R&D - Big Data Engineering and Consulting created the Building Big Data Pipelines with PySpark + MongoDB + Bokeh certification course, which is available on Udemy.

Building Big Data Pipelines with PySpark + MongoDB + Bokeh online course is a self-paced program that is aimed at students who want to master the skills and strategies useful for creating data pipelines using the core functionalities of tools like PySpark, Bokeh, and MongoDB. Building Big Data Pipelines with PySpark + MongoDB + Bokeh online classes cover topics like data preprocessing, data loading, data extraction, data manipulation, data transformation, and data visualization as well as explain the techniques to create machine learning scripts, PySpark ETL scripts, and dashboard server.

Pyspark is a big data application that employs the Python programming language for real-time streaming and offers a better and more effective way to perform all types of calculations. PySpark for Data Science - Beginners online certification is developed by Exam Turf - an educational organization that provides competitive exam preparation and test series, which is delivered by Udemy for the candidates who want to master the concepts involved with data science using PySpark to become PySpark developers, and data scientists.

PySpark for Data Science - Beginners online training is a short-term training program that involves 2.5 hours of prerecorded lectures to educate candidates about the fundamental ideas and procedures related to PySpark for data science activities. With PySpark for Data Science - Beginners online course, candidates will be taught about big data, Spark, and Python as well as will be taught about the concept of resilient distributed datasets and other fundamental capabilities and terminologies employed in the particular instance of Spark