List of Online Courses and Certifications

Workforce analytics is a sophisticated collection of metrics and tools for data analysis that allows for thorough evaluation and improvement of workforce performance. The method assesses the effect of employee behavior and associated elements on overall business performance. The Workforce Analytics for HR online certification was created by Jeff Higgins, a specialist in workforce analytics & planning, and is made available by Udemy to applicants who want to gain the knowledge necessary to maximize the return on HR's human capital investments.

Workforce Analytics for HR online training offers 3 hours of digital lectures supported by 5 articles, downloadable resources, quizzes, and case studies which aim to give applicants the background knowledge, concrete examples, and practical tools they need to successfully implement their workforce analytics journeys in any sector. Workforce Analytics for HR online classes revolve around topics like workforce planning, business communication, and business cases as well as explain the methodologies for measuring, tracking, and analyzing the effects of different workforce decisions.

HR analytics aims to offer insight into the most effective ways to manage employees and accomplish business objectives. Given the abundance of data available, it is crucial for HR teams to first determine which data is most pertinent and how to use it to get the best return on investment. Nilakantasrinivasan Janakiraman, a leader in customer experience and business transformation, developed the Hands-On HR Analytics Online Course for Human Resources certification, which is made available by Udemy.

Hands-On HR Analytics Online Course for Human Resources classes contains more than 6.5 hours of prerecorded lessons accompanied by 2 articles, 7 downloadable resources, and assignments that aim to provide learners a solid understanding of the concepts involved with HR analytics. Hands-On HR Analytics Online Course for Human Resources syllabus discusses the strategies and techniques associated with topics like hypothesis testing, descriptive analytics, diagnostic analytics, T-test, chi-squared, recruitment analytics, ANOVA, employee satisfaction analytics, and more.

The gathering and use of talent data for HR analytics are done to enhance important business and talent outcomes. HR analytics offer HR officials the ability to create data-driven additional insight to guide hiring decisions, enhance workforce operations, and foster a positive working environment. HR Analytics: Human Resource Management, HR Course Aug 22 certification is created by Robert Sullivan - MA, MBA, FistLM, FRSA FHEA, Business Academic, Entrepreneur & Coach to CEOs and is presented by Udemy.

HR Analytics: Human Resource Management, HR Course Aug 22 online classes comprise more than 2.5 hours of video-based training materials supported by downloadable resources which are intended for the students who want to pursue careers in the field of human resource management. HR Analytics: Human Resource Management, HR Course Aug 22 online training discusses topics like HR analytics, data analytics, business strategy, data modeling, staff empowerment, staff engagement, performance management, recruitment, talent development, performance appraisal, and more.

A human resource dashboard is a predictive analytics application that allows HR teams to record, analyze, and review HR key performance indicators (KPIs). Modern, experiential dashboards make use of an HR analytics solution, which enables the simple combination of data from all systems and deep exploration of this information directly within the dashboard. HR Analytics & Dashboarding - Beginner to Intermediate online certification is created by Edcorner Learning, a fantastic education company, and is available on Udemy.

HR Analytics & Dashboarding - Beginner to Intermediate online training incorporates more than 5.5 hours of video-based materials along with article and downloadable resource to provide applicants an understanding of the foundational concepts associated with HR analytics and HR dashboarding. With HR Analytics & Dashboarding - Beginner to Intermediate online course, applicants will be taught about various analytical operations including departmental analysis, training analysis, job rating analysis, time sheet late mark analysis, full & final analysis, age & tenure analysis, and more.

An HR Dashboard is an advanced analytics tool that enables Human Resource team members to monitor, assess, and document HR KPIs for the entire organization, assisting leaders in making decisions to improve the work environment and maximize employee productivity. HR Analytics & Dashboarding - Advanced Course certification was created by Edcorner Learning, an incredible learning platform, and is made available by Udemy for students who want to learn the advanced concepts of HR analytics and HR dashboarding to become certified human resource managers.

HR Analytics & Dashboarding - Advanced Course online classes comprise 8 hours of digital lectures supported by downloadable resources and articles that help students learn about the method for gathering and analyzing HR data to enhance an organization's workforce performance. HR Analytics & Dashboarding - Advanced Course online training discusses topics like data charts, animated macro charts, predictive attrition, headcount analysis, BGV analysis, goal seek analysis, payroll analysis, FNF analysis, exit analysis, leave analysis, and much more.

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.

AWS Certified DevOps Engineer: Get 3 Certifications online course is a triple certification course in which each certification supports learning in a certain profession, which includes AWS Cloud Practitioner Certification: This certification provides a comprehensive overview of AWS fundamental services, security, pricing, and support services. AWS Solutions Architect Associate aims to improve their AWS skills to assist organizations in designing and migrating their architecture to the cloud, while AWS Certified DevOps Engineer provides technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform.

AWS Certified DevOps Engineer: Get 3 Certifications online training is designed by Syed Raza - CEO of ClayDesk.com, Enterprise Architect, Senior Project Manager & Instructor and is made available through Eduonix, an educational company that offers technical courses to both beginners and professionals in the market. AWS Certified DevOps Engineer: Get 3 Certifications syllabus includes more than 22.99 hours of pre-recorded lecture covering every topic from basic to advanced AWS topics, giving students ample opportunities to enhance all of their skills as DevOps engineers.

Bigdata with AWS - From Beginner to Expert online certification is developed by Saif Shaikh - Professional Data Engineer & Trainer and is presented by Udemy which is aimed at individuals who want to improve their big data skills by utilizing AWS's features. Bigdata with AWS - From Beginner to Expert online course by Udemy focuses on teaching the core functionalities of tools like Hadoop, Hive, Spark, Scala, Kafka, and more.

Bigdata with AWS - From Beginner to Expert online classes comprise 81 hours of thorough video-based lectures as well as rich learning resources aimed at teaching big data analytics fundamentals. AWS, Sqoop, Hive, Cassandra, Scala, Kafka, Hadoop, Spark, and more tools are covered in this course. Individuals will be prepared to operate in an independent industry environment by the end of this course, which will help them acquire confidence in coding as codes are written from scratch.

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.

The PySpark Essentials for Data Scientists (Big Data + Python) online certification, created by Layla AI - Data Scientist Consultant & Instructor, is offered by Udemy to participants who want to learn the practical PySpark concepts they will need to know daily to become qualified data scientists and data engineers.

PySpark Essentials for Data Scientists (Big Data + Python) online training by Udemy comprises more than 17.5 hours of virtual lessons along with 28 articles and 139 downloadable resources which provide a strong foundation for big data concepts using Python. Participants in the PySpark Essentials for Data Scientists (Big Data + Python) online course will learn about a variety of subjects including data streaming, application development, data wrangling, machine learning, natural language processing, spark structured streaming, hyperparameter tuning, cross-validation, topic modeling, Gaussian mixture modeling, and much more.

The accountabilities of an Apache PySpark developer encompass creating Spark tasks for data aggregation and transformation, drafting test scripts for Spark helper and transformation methods, writing Scaladoc-style documentation for all code, and designing data processing channels. Complete PySpark Developer Course (Spark with Python) online certification is created by Sibaram Kumar - Data Engineer & Instructor, which is offered by Udemy.

Complete PySpark Developer Course (Spark with Python) online classes are intended for candidates looking for a comprehensive program to help them learn the core functionalities of PySpark to become data engineers and data scientists. Complete PySpark Developer Course (Spark with Python) online training covers topics such as Spark RDD, HDFS, Spark SQL, SparkSession, DataFrames, DataTypes, and ETL, as well as the strategies involved in the effective big data processing.

Python and Apache Spark have teamed up to create PySpark. As opposed to Python, which is a general-purpose, high-level language of programming, Apache Spark is an open-source cluster computing framework focused on speed, usability, and streaming analytics. Apache PySpark Fundamentals certification course is developed by Johnny F. - Programmer & Instructor and is made available by Udemy for learners who want to become professional PySpark developers.

Apache PySpark Fundamentals online training is a comprehensive program that incorporates 1.5 hours of digital lessons supported by downloadable learning materials that focus on teaching the basics of Apache Spark with Python and equip students with all the knowledge they need to create Spark applications using PySpark. Apache PySpark Fundamentals online course covers topics such as Spark functions and resilient distributed datasets, and it offers an understanding of Apache Spark and how it can help with data science and big data analytics.

Python's PySpark provides an interface for Apache Spark. Along with offering the PySpark shell for collaborative data analysis in a distributed environment, PySpark allows users to create Spark applications using Python APIs. The majority of Spark's features, including Spark SQL, DataFrame, Streaming, MLlib, and Spark Core, are supported by PySpark. Learning PySpark online certification is designed by Packt Publishing - a learning platform that is intended to offer certifications to help applicants improve their knowledge and is delivered by Udemy.

Learning PySpark online training is a short-term program that contains 2.5 hours of video lectures along with downloadable resources which begins by offering applicants a solid understanding of Apache Spark and how to set up a Python environment for Spark. With the help of Learning PySpark online classes, applicants will learn about Spark SQL, Spark DataFrame, API, lazy execution, data sorting, data aggregation, and data transformation as well as will learn how to process data using Spark DataFrames and master data collection methods by distributed data processing.

Taming Big Data with Apache Spark and Python - Hands On online certification is developed by Sundog Education, Online Learning Platform, Frank Kane, Founder - Sundog Education and Machine Learning Professional and offered by Udemy Inc., a US-based online learning platform to help individuals boost their careers.

Taming Big Data with Apache Spark and Python - Hands-On online course is quite interactive for learners where they will spend the majority of their time working along with the instructor to build, evaluate, and run real code – both locally and in the cloud using Amazon's Elastic MapReduce service. Taming Big Data with Apache Spark and Python - Hands-On online training offers  20+ downloadable materials and 7 hours of pre-recorded lectures to help learners create, run, and study. The course will also cover spark-based technologies such as spark SQL, spark streaming, GraphX, etc. Interested candidates can enrol themselves in the course by making an online payment through any online mode of payment to purchase the lifetime subscription to the course.

With the SQL Essentials Training and Certification programme, you will learn how to write programmes in SQL using MS SQL Server Management Studio. You will gain proficiency in retrieving, sorting, grouping, and filtering the data which is stored in a Server DB. The certification course curriculum touches down on calculating and aggregating the data. 

The Edureka SQL Essentials Training and Certification online course certifies you as a SQL expert. You will learn to work with existing data and to modify or to manipulate it using various operations. As the training programme involves working on a live project, you will gain hands-on experience in working with SQL. The training also allows you to incorporate recently learned skills and abilities to improve the learning process further.

Furthermore, the SQL Essentials Training and Certification course is a self-paced training course that enables you to learn at your speed, depending on your convenience. Through videos, practical, and real-life case studies, assignments, PDFs, and presentations, you will also develop a deeper understanding of the concepts. 

The Hadoop Administration Certification Training Course will help you to become a certified Hadoop Administrator. You will learn how to manage and operate large and complex Hadoop Clusters. This course will also prepare you for Hadoop administration roles and enable you in cluster installation, cluster planning, cluster monitoring, cluster configuration, and tuning. 

The Hadoop Administration Certification Training Course also covers the primary roles and functions of a Hadoop Administrator. The program includes sections helps you with practical preparation for the industry-based challenges faced by Hadoop Administrators.

Moreover, the Hadoop Administration Certification Training course by Edureka also provides proficiency in all the open source components and deployments of Cloudera Hadoop 2.0. You will understand the proper security implementation of Kerberos and Hadoop v2 via real-world industry-level case studies.

You will receive the training from the industry expert practitioners with years of experience in the field. The training is instructor-led interactive live sessions to meet the needs of individuals with different capacities.

Besides, the course also provides you with a perspective to understand Big Data and analyse the limitations of conventional solutions. 

One can hardly talk about Big Data without mentioning Hadoop. The explosive growth witnessed in the data sciences and engineering industry has created ample job vacancies. EduPristine’s Data Engineering with Hadoop programme is the most comprehensive and intensive training in data engineering and trains the participants in the skill-set required to thrive in this industry.

This Data Engineering with Hadoop course is targeted towards IT and analytics professionals, who are trained by EduPristine’s subject matter experts in various Big Data tools and given hands-on experiential training. Post the course completion; candidates also get end-to-end career support and job assistance. Candidates learn about the Big Data tools, including MapReduce, Apache HBase, HDFS, Apache Spark, Hive, Sqoop, Pig, Scala, Apache Oozie, among others. 

The curriculum is an amalgamation of theoretical and practical learning and provides you with a data engineering certification at the end of the course. Participants are taught by our expert instructors and provided guidance every step of the way, from installing the software to learning its niche functions and mastering it. Data Engineering with Hadoop certification training also requires you to complete a live project.

Hadoop Training online certification is offered by MindMajix Technologies which is designed to help individuals gain an in-depth understanding of all Big Data and Hadoop tools topics, from the fundamentals to advanced level methods. Hadoop Training online course is available in two formats: self-paced videos in which applicants can learn at their own pace using e-learning materials, or live mode in which the teacher conducts online class through Zoom or Google Meet.

The online Hadoop Training classes include 40 hours of comprehensive HD video lectures on big data and Hadoop topics such as Hadoop architecture, Hadoop MapReduce frameworks, and more analytical tools such as Hive, Pig, Sqoop, Flume, MongoDB, Apache Spark, and others. Candidates will also receive hands-on experience by participating in two real-time industry-based projects related to this curriculum.

Hands-on HADOOP Masterclass - Tame the Big Data online course deals with two of the important aspects in the field of data science i.e., big data and Hadoop. Big data is a group of data that cannot be processed using typical methods. It collects and processes data using a variety of tools and techniques. Hadoop is an open-source software framework for storing information of any form and launching applications on a large number of devices. Hadoop has a significant amount of power to handle a lot of operations. 

Hands-on HADOOP Masterclass - Tame the Big Data online certification was created by EDUCBA and is accessible on Udemy which is intended for individuals who want to receive practical knowledge of Hadoop for data analysis. Hands-on HADOOP Masterclass - Tame the Big Data online classes comprise over 67 years of thorough video lectures aimed at teaching the fundamentals of big Data and technologies that enable big data analytics, such as MapReduce, NoSQL, Oozie, Storm, Spark, Cloudera, Mahout, Flume, and many more.

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.

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 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.

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.

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.