List of Online Courses and Certifications

Data storytelling is the art of using narratives and visualizations to effectively convey insights from a dataset. It could be used to put data and insights into the frame of reference and motivate your audience to act on them. How to tell a story with data certification course is created by Mike X Cohen - Neuroscientist, writer & professor, which is offered by Udemy for applicants who are willing to develop their skills in storytelling using data to advance in their professional careers.

How to tell a story with data online training provides 1.5 hours of virtual lessons along with 2 articles, downloadable resources, and quizzes that aim to help the applicants how to engage their audience and help them remember the key points of their data graphs. How to tell a story with data online course covers topics like data stories, data storytelling, and presentation as well as discusses the methodologies and concepts involved with the 5 stage arc of storytelling.

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.

The creation and coding of Hadoop applications is the responsibility of Hadoop developers. An open-source framework called Hadoop is used to store and manage big data applications that are run inside of cluster architectures. In essence, a Hadoop developer develops applications to maintain and manage big data for a business. Hadoop Developer In Real World online certification is developed by Hadoop In Real World - Expert Big Data Consultants and is offered by Udemy.

Hadoop Developer In Real World online course involves more than 20.5 hours of extensive learning materials along with 4 articles and 88 downloadable resources which are aimed at the participants who want to acquire the knowledge of the concepts involved with Hadoop and big data to become certified in Hadoop developers. Hadoop Developer In Real World online training covers topics like data analysis, cloud computing, and Cloudera manager and discusses the functionalities of various big data technologies including Flume, Sqoop, YARN, Kafka, AWS, Pig, Hive, and more.

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.

The stock market is renowned for its turbulence, dynamic, and nonlinear nature. Due to a variety of factors, including politics, the state of the global economy, unforeseen occurrences, a company's financial performance, and others, accurately predicting stock prices is very difficult. The Mammoth Interactive - Instructor & John Bura Web, App & Game Developer-designed the Detect Fraud and Predict the Stock Market with TensorFlow certification course, which is offered by Udemy.

Detect Fraud and Predict the Stock Market with TensorFlow online classes are intended for individuals who want to become experts in the artificial intelligence methodologies used to highlight stock market fraud. Individuals will learn about Tensorflow, linear regression, and Python in the Detect Fraud and Predict the Stock Market with TensorFlow online course, as well as about the techniques and resources needed to create stock market prediction applications.

Data Engineering on Google Cloud Platform online certification was developed by Cloud Resident, an education platform that offers courses in the cloud, data engineering, analytics, and architecture, and is offered by Udemy, which is intended for candidates looking for a thorough training program that could help them master the concepts and methods associated with Google Cloud Platform (GPC) for data engineering.

Data Engineering on Google Cloud Platform online classes is a short-term program that contains 10 hours of hands-on study materials supported by 42 downloadable resources which aim to offer the most useful answers to real-world scenarios for data engineering on the cloud. With Data Engineering on Google Cloud Platform online training, candidates will also be taught about strategies involved with PySpark structured streaming, real-time event data streaming, event time data processing, automation, data transformation, data ingestion, and more.

Data engineering is the practice of developing large-scale data collection, storage, and analysis systems. Applications for data engineering can be found in almost every industry. Data Engineering - ETL, Web Scraping, Big Data, SQL, Power BI certification course is developed by Bluelime Learning Solutions and is made available by Udemy for learners who want to acquire the skills and expertise to interact with various types of data.

Data Engineering - ETL, Web Scraping, Big Data, SQL, Power BI online training is a self-paced program that involves more than 12.5 hours of video-based lessons, 11 downloadable learning resources, and articles to assist students in understanding the concepts related to web-scraping, big data, Power BI, SQL, and ETL. Data Engineering - ETL, Web Scraping, Big Data, SQL, Power BI online courses evolve around topics like data modeling, data transformation, data visualization, data extraction, data cleaning, database interaction, and more.

Data Analysts analyze numerical data and use it to assist businesses in making better decisions. Data Engineers are involved in data preparation. They design, build, test, and maintain the entire architecture. Bluelime Learning Solutions created the Data Engineer/Data Analyst - SQL | Azure | ETL | SSIS | BI online certification, which is offered by Udemy to participants who want to master the tools and techniques associated with data analysis and data engineering to become certified data engineers and data analysts.

Data Engineer/Data Analyst - SQL | Azure | ETL | SSIS | BI online training comprises 7 hours of prerecorded lectures accompanied by 3 articles and 10 downloadable resources which focus on teaching the functionalities of various powerful tools like SQL, Azure, Power BI, SSIS, ETL. With Data Engineer/Data Analyst - SQL | Azure | ETL | SSIS | BI online classes, participants will be taught about data analysis, data transformation, data extraction, data visualization, filtering data, sorting data, and much more.

Data engineering is a discipline that requires skills that fall somewhere between software development and programming on the one hand and advanced analytics skills such as those required by data scientists on the other hand. Durga Viswanatha Raju Gadiraju - CEO at ITVersity & CTO at Analytiqs, Inc, Asasri Manthena - Marketing & Sales Manager at ITVersity, Inc, and Perraju Vegiraju - Certified Instructor designed the Data Engineering using AWS Data Analytics online certification, which is delivered by Udemy.

Data Engineering using AWS Data Analytics online training incorporates more than 25.5 hours of prerecorded lessons, 18 downloadable resources, and 112 articles for applicants who want to master AWS Analytics services for data engineering activities. Data Engineering using AWS Data Analytics online classes will walk applicants through the process of building data engineering pipelines using the AWS data analytics stack and will explain concepts such as data pipelines, web server streaming, data processing, CRUD operations, and more.

Organizations generally use ETL as a data and AI solution to improve the functionality and performance of their ETL pipeline projects. To help improve business outcomes, Databricks can be used to develop, test, and deploy machine learning and analytics applications. Asasri Manthena, Marketing & Sales Manager at ITVersity, Inc., Durga Viswanatha Raju Gadiraju, CEO at ITVersity & CTO at Analytiqs, Inc., and Asasri Gadiraju created the Data Engineering using Databricks on AWS and Azure certification course, which is offered by Udemy.

Data Engineering using Databricks on AWS and Azure online course contains 18.5 hours of comprehensive video lectures along with 31 articles and 55 downloadable resources that are intended for students who want to learn about data engineering using Databricks. With Data Engineering using Databricks on AWS and Azure online training, students will be taught about topics like Azure CLI, Databricks CLI, application development, application development life cycle, spark structured streaming, incremental file processing, and more.

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.

Data Engineering for Beginner using Google Cloud & Python online certification was developed by Timotius Pamungkas - Java Software Engineer & Architect and is available on Udemy, which is intended for applicants looking for a comprehensive training program that will assist them in acquiring knowledge of the foundational concepts and strategies associated with Google Cloud Platform (GPC) and Python programming for data engineering activities to become professionals.

Data Engineering for Beginner using Google Cloud & Python online course involves 8 hours of comprehensive lectures supported by 2 articles and downloadable resources, that are designed to provide applicants with an overview of the fundamentals of data engineering. Data Engineering for Beginner using Google Cloud & Python online training discusses strategies and techniques associated with topics like the relational database, database modeling, data lake, NoSQL database, and data warehousing as well as teaches about the tools like Hadoop, Pandas, Spark, Python, PostgreSQL, and more.

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.

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.