List of Online Courses and Certifications

BigQuery, a petabyte-scale, a moderate enterprise data warehouse for analytics from Google, enables users to process our big datasets dynamically. PostgreSQL is one of the most powerful, open-source relational database systems that has earned its reputation because of its dependability, feature strength, and efficiency Google BigQuery & PostgreSQL: Big Query for Data Analysis online certification is created by Start-Tech Academy, an educational platform serving in more than countries, which is offered by Udemy.

Google BigQuery & PostgreSQL: Big Query for Data Analysis online course is intended for candidates who want to have a thorough understanding of all the theories and techniques in SQL and Google BigQuery that are beneficial for doing data analysis in organizations. Candidates will receive more than 11.5 hours of prerecorded lectures with the Google BigQuery & PostgreSQL: Big Query for Data Analysis online classes, in addition to 7 articles and 5 downloadable resources that cover topics like data analysis, data visualization, SQL commands, subqueries, string functions, mathematical functions, and more.

MySQL is a free and open-source relational database management system.  This indicates all of this for WordPress websites, it aids the operator in storing all of their blog articles, subscribers, application statistics, etc. It is relational because it saves that data in a separate table and links it with variables. The Vertex Academy Team of Developers & Bootcamp Instructors created The Complete MySQL Bootcamp: From SQL Beginner to Expert-2022 online certification, which is provided by Udemy.

The Complete MySQL Bootcamp: From SQL Beginner to Expert-2022 online training offers 9 hours of prerecorded lectures that are jam-packed with tonnes of articles, downloadable materials, and exercises to help applicants advance quickly. The Complete MySQL Bootcamp: From SQL Beginner to Expert-2022 online course aims to help the applicants acquire the expertise to be able to work with database management systems like MySQL which could also be applied to virtually any other database management system.

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.

Informatica PowerCenter is by far the most popular extraction, transformation, and loading tool for developing enterprise data warehouses. The Informatica PowerCenter components help to extract data from its origin, convert it under business necessities, and bunch it into an intended data warehouse. Informatica PowerCenter - Beginner to Expert Level online certification is created by Smart Coders Hub - a virtual learning platform for data science courses and is offered by Udemy.

Informatica PowerCenter - Beginner to Expert Level online course offers more than 19.5 hours of extensive video-based study materials that focus on helping the students acquire the expertise and skills needed for Informatica development, architecture, and various transformations. With Informatica PowerCenter - Beginner to Expert Level online training, students will be taught about data warehousing, mapping, debugging, troubleshooting, and error handling as well will be taught about the methods and strategies for extracting raw data and loading it into the target domain certain transformations. 

The appropriate framework for utilizing and leveraging company data is provided by Informatica PowerCenter. Additionally, Informatica PowerCenter enables users to work with many sorts of data quickly, simply, and effectively. LEARNING PATH: Complete Roadway to Informatica Powercenter 9 certification course is developed by Packt Publishing - an educational platform that provides tech courses and is made available by Udemy for applicants who want to learn the techniques and strategies to utilize the data warehousing tools offered by Informatica Powercenter.

LEARNING PATH: Complete Roadway to Informatica Powercenter 9 online course offers insight into several Informatica administration interface features, including integration services, domains, and repositories. LEARNING PATH: Complete Roadway to Informatica Powercenter 9 online training includes 5 hours of learning materials that help candidates learn how to use various transformations and implement various slowly changing dimensions as well as how to master the more complex features of the Informatica client to build reusable transformations and mapplets.

The administrative processes for object classes like applications, interconnections, and licenses are consolidated by the application client called Informatica Powercenter. The Informatica Power Center Administration online certification was designed by Sid Inf - Data & ETL Architect and is provided by Udemy, which is meant for participants who wish to learn the most recent Informatica features and techniques related to updates to the administration console.

Informatica Power Center Administration online course focuses on assisting the participants in learning the procedures required to manage the Informatica architecture and discusses fundamental to advanced concepts of management of the Informatica environment. Informatica Power Center Administration online classes topics like cover Informatica administration, repository maintenance, grid management, scheduling, and version control as well as discuss the techniques for repository migration, importing or exporting metadata level.

IBM Netezza Training online course seeks to deliver in-depth knowledge of all IBM Netezza fundamentals, including architecture, analytics, Netezza performance server, Netezza events, and more, using real-world examples. IBM Netezza Training online certification is presented by MindMajix Technologies Inc., an online educational platform that provides users with learning resources and accreditation to help them advance in their professional journey.

IBM Netezza Training online classes is a hands-on course that lasts for 54 hours in total. The course covers subjects ranging from basic to advanced in IBM Netezza, such as NPS AMPP architecture, Netezza 7.2 appliance types, Netezza appliance migration, Netezza CLI, Netezza Replication, DR Architecture, and much more. Mindmajix will also provide students with premium content such as a personalized resume generator, career guidance, and practice interviews.

MindMajix Technologies Inc. designed the Matillion For Snowflake Training certification course for participants who wish to obtain the skills and competence in Matillion for Snowflake to easily integrate data into their snowflake cloud platform. The Matillion For Snowflake Training online course is designed in such a way that participants can enroll in a learning plan that best suits their learning preferences.

Matillion For Snowflake Training online classes by MindMajix Technologies include 20 hours of HD video-based learning resources and video-based lab training to help users develop practical knowledge of Matilion for Snowflake to optimize the value of their data. This program uses expert educators to teach participants how to extract, process, and load data into Snowflake from various sources using Matillion ETL. This course involves a project-based learning style to ensure that participants receive hands-on experience applying their new ETL knowledge and skills to explore, migrate, and load data, automate data loading, and so on.

Informatica Tutorial: Beginner to Expert Level online certification is designed by Sid Inf - Data/ETL Architect which is made available through Udemy, to provide individuals with enough learning resources to help them understand the roles and responsibilities of an ETL developer to develop the skills and expertise. The Informatica Tutorial: Beginner to Expert Level online course by Udemy is designed for both novices and experienced persons who wish to learn and improve their skill set to advance in their professional careers.

Informatica Tutorial: Beginner to Expert Level online classes feature 35 hours of pre-recorded HD video tutorials as well as 17 different downloadable resources that start with data warehousing concepts, Informatica PowerCenter configuration, ETL, ELT, and progress to more complex topics like dimensional modeling, XML processing, repository service, integration service, and many more.

SAP BW/4HANA is a cloud-based succeeding data warehouse technology that gives businesses a new option for flexible enterprise data warehousing (EDW) architecture and faster service of business analytics and reporting needs. With a singular, reliable source for actual information, SAP BW/4HANA accelerates operations and fosters development. Uplatz Training, one of the fastest-growing IT training organizations worldwide, produced the SAP BW/4HANA Certification Training (beginning to expert) online course, which is offered via Udemy.

SAP BW/4HANA Certification Training (beginner to expert) syllabus is designed for individuals who are interested in learning skills in reporting, planning, data integration, dashboarding, data engineering, predictive analytics, and prescriptive analytics. The SAP BW/4HANA Certification Training (beginner to expert) online classes are divided into 23 sections that cover topics such as SAP SW/4HANA, SAP HANA modeling, HANA analysis process, big data, SAP extractor, SAP HAAN smart data access, SAP HANA smart data integration, data models, data provisioning, data lifecycle management, data warehouse, and more.

The Training for Snowflake course is meticulously designed to help the participants master data warehousing on the cloud. The participants will learn to load and transform data in Snowflake, scale virtual warehouses for performance and concurrency, share data, and work with semi-structured data. This Training for Snowflake course also covers query constructs, DDL and DML operations, managing and monitoring Snowflake accounts and Snowflake’s continuous data protection methods. The participants will benefit from real-time interactions with industry experts, hands-on projects and lifetime access to course materials. 

Disclaimer: We are not affiliated or endorsed by Snowflake, Inc.

Since the era of technology is changing, big companies are looking for new experts in various fields. The companies using modern technology require trained professionals to utilise their skills in a productive manner. Data Analytics using Keras is a part of mathematical analytics which has brought a whole new change in the technology world. It is a great way to start using digitalization and technical aspects of work in the workplace.

Nowadays, the need for such trained professionals is enhancing day by day. Big companies such as Amazon, Flipkart, Google are looking for trained professionals with a deep understanding of Keras. 

With Certified in Deep Learning with Keras, can access different skills to be professionally trained in using Keras. Online classes and supportive faculty contribute a lot to this course to be the right choice for learners seeking these skills. After getting certified through this course, learners will get several job opportunities from recruiters and other modes.

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.

TensorFlow Developer Certificate in 2022: Zero to Mastery online training was developed by Daniel Bourke, a machine learning engineer, writer, and video producer, and Andrei Neagoie, the founder of zerotomastery.io. Zero To Mastery is an educational platform that teaches in-demand skills and is made available through Udemy for students who want to acquire the skills to solve machine learning and deep learning problems using Tensorflow to obtain the TensorFlow developer certificate.

TensorFlow Developer Certificate in 2022: Zero to Mastery online training incorporates 63 hours of extensive lectures accompanied by 5 downloadable resources, 42 articles, and coding exercises which is intended to provide learners the opportunity to demonstrate their machine learning knowledge and experience in a global employment market that is becoming more and more AI-driven. TensorFlow Developer Certificate in 2022: Zero to Mastery online classes take learners from beginners with TensorFlow for producing excellent deep neural networks by explaining the concepts involved with deep learning, convolutional neural networks, computer vision, and natural language processing.

Google created the open-source TensorFlow library, which is primarily used for applications involving deep learning. Additionally, it claims to support conventional machine learning. Complete Guide to TensorFlow for Deep Learning with Python online certification is developed by Jose Portilla - Head of Data Science at Pierian Training which is delivered by Udemy for candidates who want to master the concepts and strategies associated with TensorFlow for deep learning activities.

Complete Guide to TensorFlow for Deep Learning with Python online course provides 14 hours of thorough lectures along with 5 downloadable learning resources and 7 articles which aim to teach the candidates about the techniques necessary to create artificial neural networks for deep learning operations. The Complete Guide to TensorFlow for Deep Learning with Python online training explains the theories behind image classification, CNN, GNN, and RNN, as well as acts as a comprehensive manual for using the TensorFlow framework following its intended purposes while demonstrating to candidates the most recent deep learning methods.

TensorFlow is an open-source framework for a variety of different machine learning problems, whereas Keras is a neural network framework. Both high-level and low-level APIs are offered by TensorFlow, whereas Keras only offers high-level APIs. Complete Tensorflow 2 and Keras Deep Learning Bootcamp certification course is designed by Jose Portilla - Head of Data Science at Pierian Training which is presented by Udemy for applicants interested in learning about TensorFlow 2 for deep learning and artificial intelligence.

Complete Tensorflow 2 and Keras Deep Learning Bootcamp online classes contain 19 hours of extensive lectures supported by 3 downloadable resources and 2 articles which guide applicants to build artificial neural networks using the TensorFlow 2 framework for deep learning operations. With Complete Tensorflow 2 and Keras Deep Learning Bootcamp online training, applicants will be taught about machine learning, natural language processing, and time series analysis as well as strategies for utilizing the Keras API to build Tensorflow 2 models more quickly.

Tensorflow is the world's most widely used deep learning framework, and it was created by Google. Tensorflow is the machine learning and artificial intelligence library of preference for many businesses. Deep Learning with TensorFlow 2.0 online certification is created by 365 Careers, an Udemy-affiliated educational platform that creates opportunities for finance and data science students.

Deep Learning with TensorFlow 2.0  online classes offers 6 hours of prerecorded lessons supported by 18 articles and 20 downloadable resources which are targeted at the students interested in mastering the strategies to code and build deep learning algorithms and machine learning algorithms from scratch to become certified data scientists. Deep Learning with TensorFlow 2.0 online training revolves around topics like neural networks, standardization, machine learning, initialization, normalization, pre-processing, training, validation, overfitting, underfitting, and more.

A large neural network library that integrates with TensorFlow is called Keras. TensorFlow is an open-sourced end-to-end framework and library for many tasks involving machine learning. A Complete Guide on TensorFlow 2.0 using Keras API certification course is developed by Hadelin de Ponteves - AI Entrepreneur, Ligency I Team - an educational organization that helps data scientists in acquiring skills & Luka Anicin AI Engineer & Entrepreneur and is made amiable by Udemy.

A Complete Guide on TensorFlow 2.0 using Keras API online training comprises 13 hours of digital lessons accompanied by 13 articles and 3 downloadable resources and is arranged to cover every topic from neural networks and training to put it in use. With A Complete Guide on TensorFlow 2.0 using Keras API online course, individuals will learn about data validation, dataset preprocessing, machine learning, CNN, ANN, and RNN as well as how to create a stock trading bot using reinforcement learning.

For building Deep Learning models, Google introduced the TensorFlow framework. Artificial neural networks are a key component of the deep learning class of machine learning models. Tensorflow Deep Learning - Data Science in Python online certification is developed by Minerva Singh- Instructor & Data Scientist and is offered by Udemy for candidates who want to master the concepts involved with TensorFlow for data science operations using python programming.

Tensorflow Deep Learning - Data Science in Python online course contains 7 hours of video-based lessons supported by 3 articles and 45 downloadable resources to provide candidates a thorough understanding of statistical modeling, data visualization, machine learning, and fundamental deep learning using the Tensorflow framework in Python. By the end of the Tensorflow Deep Learning - Data Science in Python online training, candidates will be able to use packages such as Numpy, Pandas, and Matplotlib to collaborate with actual data in Python.

The Android Machine Learning with TensorFlow lite in Java/Kotlin certification course was designed by Hamza Asif, an Android Developer, Flutter Developer, and Instructor, and is made available through Udemy, which is aimed at students who want to become proficient in the machine learning tools and methodologies to implement machine learning models in their android applications using the functionalities of TensorFlow Lite.

Android Machine Learning with TensorFlow lite in Java/Kotlin online classes encompass more than 5.5 hours of prerecorded lectures supported by 19 downloadable study materials which are geared toward teaching students how to use Android Studio and TensorFlow Lite to incorporate machine learning and computer vision into their applications for Android. Android Machine Learning with TensorFlow lite in Java/Kotlin online course discusses topics like application development, classification, and regression as well as explains the functioning of various tools like Keras, Java, Kotlin, Pandas, Numpy, and Matplotlib.

Deep learning is a branch of artificial intelligence and machine learning that resembles how learners understand specific types of information. Data science, which also includes statistical data and predictive modeling, includes deep learning as a crucial aspect. TensorFlow 101: Introduction to Deep Learning online certification is created by Sefik Ilkin Serengil - Software Engineer, which is delivered by Udemy for the participants who are interested in learning the TensorFlow framework and concepts involved with artificial intelligence, machine learning, and data science.

TensorFlow 101: Introduction to Deep Learning online training is a self-paced program that offers 4 hours of digital lessons accompanied by downloadable learning resources and assignments which is aimed at the participants who want to acquire a foundational understanding of the concepts involved with deep learning from scratch. TensorFlow 101: Introduction to Deep Learning online classes discusses topics like deep neural networks, segmentation analysis, time series analysis, supervised learning, unsupervised learning, face recognition, machine learning models, and more.

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.

A unique class of machine learning algorithms called artificial neural networks is based on how the human brain processes. ANN can learn from the data and produce outputs in the manner of forecasts or categorization, much like the neurons in our nervous system can do. The Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online certification was created by data scientist Kirill Eremenko, AI entrepreneur Hadelin de Ponteves, and the Ligency Team, which is available on Udemy.

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online course is intended for learners interested in understanding the more advanced principles of deep learning and machine learning, including logistic regression and linear regression. With Deep Learning A-Z™: Hands-On Artificial Neural Networks online classes, learners will be provided with 22.5 hours of videos along with 38 articles and 5 downloadable resources which explain the functionalities of tools like TensorFlow and PyTorch as well as discuss the strategies involved with ANN intuition, CNN intuition, RNN intuition, and SOM intuition.

Neural networks, which help compensate for deep learning models, are typically built in a sequence of increasing the scale and abstraction. Neural networks are developed from a group of interconnected components that, like the synapses in the brain, can communicate with one another to function as interconnecting brain cells and understand and make decisions more like human beings. The Neural Networks in Python: Deep Learning for Beginners certification course is offered by Udemy and was designed by Start-Tech Academy, an institution of higher learning with over 160 locations worldwide.

Neural Networks in Python: Deep Learning for Beginners online course includes 9.5 hours of study material along with 4 articles, downloadable resources, practice exercises, assignments, and quizzes that revolve around topics like artificial neural networks, data processing, data manipulation, and statistical computation. Neural Networks in Python: Deep Learning for Beginners online classes also explain the functionalities of tools like Python, Keras, Tensorflow, Pandas, Numpy, and Seaborn to create neural networks for deep learning operations.

Apache Spark In-Depth (Spark with Scala) course is an online short certificate course created by Harish Masand, a Technical Lead, that helps the participants to possess an in-depth understanding of Apache Spark. The learners will explore all the aspects of  Apache Spark which is an open-source unified analytics engineer for big data processing with in-built modules for graph processing, streaming, machine learning, and SQL.

Apache Spark In-Depth (Spark with Scala)  online course, provided by  Udemy, enables the students to learn the Apache Spark from the very beginning to the advanced concepts including simple word count program, Application Development and Deployment, Performance Tuning, Optimization, Spark Structure Streaming, Batch Processing, and whatnot. The candidates who are looking forward to taking the programme are recommended to have the fundamentals of  Hadoop and Scala. Apache Spark In-Depth (Spark with Scala)  certification is designed specifically for those who want to pursue a career in Data Engineering, Big Data, Hadoop, or  Spark. Udemy will provide the learners with a certificate of completion at the end and lifetime access to the learning materials. The interested folk can join the programme by giving the payment of a fee.