Online Big Data Analytics Courses & Certifications

We are witnessing a phenomenal era, which is digitally powered with technologies flourishing exponentially. With the strong presence of Big Data, computer systems are now capable of deriving acute information and desired results through analysis of this structured and unstructured data, which ultimately forms the ‘big data’. It is also witnessed that such analysis of Big Data is highly relevant and informative for large organisations, businesses and professionals to optimize their performances.

Considered to be information assets, Big Data enables effective decision making, optimizing processes and cost effectiveness in large, medium as well as small organisations. However, to yield the benefits of this high volume, high velocity and high variety of big data, it becomes essential to analyse this big data using various tools and techniques. This is where the knowledge of using Hive, Spark SQL, DataFrames and GraphFrames comes very handy. Analysts engaged in big data analysis are highly in demand and using these tools, one can efficiently analyse the big data to facilitate important decision making and process optimisation in their employer organisations.

The Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames online programme offered by Coursera will impart key skills to the participants in using big data analysis tools and pursue their careers in the area of big data analysis. 

The Online Programme on Big Data and AI Techniques by FORE School of Management aims to explore Big Data Analytics techniques and enable learners to apply it in their research work or teaching. The programme focuses more on practice than theory, and as such, learners will have to undertake several practical assignments.

The Online Programme on Big Data and AI Techniques Training is 40 hours long and spread across six weeks. Therefore, learners will have to devote around six hours to the programme each week. Classes are live on weekdays between 2 PM and 5 PM. They can also indulge in real-time interactions with the course educators, clarifying all their doubts and queries.

For the practical exercises that are part of the Online Programme on Big Data and AI Techniques Certification Syllabus, learners need laptops with at least 4 GB RAM. The student and the teacher will work on their respective laptops and simultaneously solve each assignment. Even though it is an online programme, the learning experience is as if the teacher and the students are in a laboratory working together.

The Big Data for Reliability and Security program will be teaching the students the key practices and principles of big data for developing and improving the security and reliability of computing systems. The students will be learning about the big data technology that is at present changing the way of doing business and transactions. The Online Certification Course on Big Data for Reliability and Security by edX will deal with the various techniques that pertain to computer science. 

The curriculum includes- Flink, containers, spark streaming, apache-spark, Mesos, and apache.  The techniques for solving various issues that currently exist in the computing world. The students will be provided with a set of challenging projects and assignments to solve. The Big Data for Reliability and Security training covers ways to analyze the data sheets that will be taught to the students. The participating candidates will be learning to formulate strategies and techniques. The various ways of presenting data will also be taught in the Big Data for Reliability and Security certification course. 

Two different tracks for enrolling and learning the course are available on edX which may be opted for by the students. Both the tracks are self-paced but some major differences may considered before rolling. During the verified track, the candidates will have to submit some fee to start accessing the course for an unlimited period. In the same way, if someone chooses the audit track, they will be able to learn the programme without any cost.

Analyzing Big Data with SQL Certification by Coursera offers its learners an extensive analysis of the SQL SELECT statement and its main clauses. Candidates will have the opportunity to study big data SQL engines Apache Impala and Apache Hive. Additionally, their acquired learning can be implemented to SQL with traditional RDBMS as well. The experienced instructor from Cloudera comprehensively deals with the differences between MySQL and PostgreSQL.

This beginner-level, free-flowing course has been made for a wider audience who wish to learn about querying big data with modern distributed SQL engines. Now that traditional relational databases have become insufficient for large packets of data, the data cannot be stored in commercial data warehouses anymore. As a result, the concepts of distributed clusters and cloud storage have started to gain momentum. 

Learning about the cost-efficient and infinitely scalable data stores in Analyzing Big Data with SQL Certification Syllabus will expose them to newer concepts of the SQL engine. Course modules have holistically covered open-source SQL engines capable of querying enormous datasets. All in all, this course proves to be highly relevant for data analysts.

Machine Learning (ML) is rapidly transforming the world. The Big Data Applications: Machine Learning at Scale certification programme is an advanced-level online course to provide you with comprehensive ML knowledge. During the course, you will explore what type of real-life problems can be solved with ML.

Offered by Yandex, the Big Data Applications: Machine Learning at Scale training by Coursera will equip you with skills to build ML models through practical assignments. You will also learn how to create your recommender system.

Throughout the Big Data Applications online training’s five-week duration, you will go through extensive reading material, practise exercises and quizzes. It will also include exclusive video lessons delivered by top-rated instructors.

Coursera’s Big Data Applications online course will educate you on the various applications of Big Data and ML. The skills you develop will enable you to undertake different kinds of pragmatic machine learning tasks. Upon course completion, you can also earn the coveted e-certificate, which is purchasable.

Two prominent instructors, Ian Cook and Glynn Durham of the Cloudera institute offer the Managing Big Data in Clusters and Cloud Storage online course. The online course takes a total duration of 20 hours to complete and includes a verified certificate of completion. The course will be taught in English, however, the subtitles are available in nine different languages. The Managing Big Data in Clusters and Cloud Storage syllabus is an online-based five-week course and is provided as a part of the “Modern Big Data Analysis with SQL Specialization” programme. The Managing Big Data in Clusters and Cloud Storage by Coursera is a flexible beginner-level course that provides practical experience in SQL based engines such as Apache Impala and Apache Hive. 

This Foundations for Big Data Analysis with SQL certification course offers the students an overview of how to use SQL for big data, beginning with an overview of data, databases, and the standard querying vocabulary (SQL) then during the Foundations for Big Data Analysis with SQL training, candidates discover the features of large data systems and SQL methods. The candidates will also add a training system (virtual machine) during their learning process. 

The students will have the ability to explore the databases and tables in this environment for the first time. The candidates can have access to the certificate and can attain Foundations for Big Data Analysis with SQL certification by the end of the programme. The candidates must download and configure a virtual computer and tools to use it correctly to use the practical framework for this training. This course holds a specialisation in modern big data analytics along with SQL specialisation, candidates can master the field with effective learning of this particular programme. 

Big Data Analytics plays a major role in examining, extracting, and dealing with complex data. Knowing the importance of this, the National Institute of Electronics and Information Technology, Gorakhpur (NIELIT) makes sure that the course takers will be equipped with various skills and techniques which are used in Big Data Hadoop like storing large amounts of data, handling complex tasks, processing data, creating multiple copies of data and so on.

Big Data Analytics Using Hadoop certification course also teaches several additional topics like Sqoop, Hive, PIG, Java, and HBase. The course is designed in such a manner that it covers all the major concepts of Big Data Analytics right from the fundamentals. It is an online course coupled with instructor-led training where students will have a detailed and in-depth learning experience. The duration of the course is just 4 weeks such that students need not spend a lot of time on the course. After completing the course and fulfilling the necessary tasks, students will be awarded a certificate of completion by NIELIT. 

Big Data Analytics Using Hadoop course by NIELIT extracts the best output from students who want to become professionals in Big Data Analysis.

The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund programme. The aim is to perturb various types of human cells with different types of perturbations, genetic manipulations, and more. The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center provides you with extensive knowledge of the functionality of LINCS and its practical application. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online course aims to familiarise students with molecular networks which are affected by these disturbances. The curriculum includes different variables of measurement, like mRNAs, proteins, metabolites, and cellular phenotypic changes. The BD2K-LINCS Data Coordination and Integration Center (DCIC) provides this data along with other publicly available relevant resources. 

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online programme also includes computational methods such as gene-set enrichment analysis, data clustering, interactive supervised learning, and data visualization. Candidates can also work on crowdsourcing or citizen-science projects in this 100% online training.

The main aim of the Foundations of mining non-structured medical data certification course is to offer education regarding the structure of big data that is generated in the health sector. The course provides information that can help the participants of the relevant field to extract important data from the big data that can be later used in different departments of the health domain. 

The course is an online programme that can be pursued for free for those who cannot afford the course fee every month. Those who can afford the fee can take the subscription of the course. The Foundations of mining non-structured medical data certification syllabus needs only 6 hours of time to complete it entirely. 

This beginner-level course offers self-paced learning through which students can choose their own timings and do not have to follow any specific guidelines for the video sessions, admission, or attendance percentage. Those participants who take up the subscription of the course will have access to the graded assignments and quizzes. Participants will also be able to attain a Foundations of mining non-structured medical data online course of the programme.

Managing Big Data with MySQL certification is offered by Duke University by associating with the online education provider platform Coursera. This course is offered as part of the Specialization - Excel to MySQL: Analytic Techniques for Business. Taking around 27 hours to get completed, this certification is course 4 of 5 in the specialization. To make the participant’s life easier there are 11 languages in which subtitles can be accessed.

Managing Big Data with MySQL training is basically introduced for making the participants aware of relational databases. These databases are important for conducting business analysis. The applicants shall also make entity-relationship diagrams for displaying data structures within the database. This online course is apt for participants who can help in understanding what, and how data can be captured for business purposes. It will also enlighten on the aggregation statements used by business analysts for real databases so there is no need for waiting for others to give data insights. 

The ‘Big data and Language 2’ online certification course is offered for the students to learn about the various aspects of the functions and features of language learning from the context of the techniques involved with big data. This language learning course is provided by Coursera and the course content is developed by the Korea Advanced Institute of Science and Technology (KAIST). This certification program is designed for the students to complete the course within an approximate period of five hours.

The instructor for this beginner-level learning English course is Seonmin Park from KAIST. The students of this course are engaged with online learning methodologies such as video lectures, reading, and practice exercises with subtitles of languages such as French, Portuguese, Russian, English, Spanish for the students from different linguistic backgrounds to access the course materials without hassle.

The candidates of this ‘Big data and Language 2’ online certification program are equipped with a course completion certificate after finishing the course of study and assessments.

Big Data Modeling and Management Systems is an online course with a minimum completion time of 13 hours. The online course discusses management tools of big data modeling, types of data models in big data, and data genres. Big Data Modeling and Management Systems Certification Course is the second programme in the three-course Big Data Specialization. The online course is a joint venture between Coursera and the University of California San Diego. 

Provided by Coursera, Big Data Modeling and Management Systems Certification by Coursera explores big data, data modeling for big data, data modelling, big data modeling techniques, Impala, Neo4j, AsterixDB, HP Vertica, SparkSQL, and Redis. The learners will be acquainted with techniques and practical exposure through real-time projects. Though there are no prior requirements for the programme, the learners will be needed some technical requirements (hardware and software).

Big Data Foundation Course online certification is created by Board Infinity, an online educational infrastructure targeting job applicants and learners that will enable them to grow and succeed by allowing people to function effectively. Big Data Foundation Course online classes by Board Infinity are for learners who are seeking a comprehensive training initiative to enhance their knowledge and skills in big data so that they can become skilled big data specialists from the ground up.

The Big Data Foundation Course syllabus features more than 14 hours of prerecorded video lessons that aim to help learners comprehend market dynamics, uncertain relations, and client preferences, and discover trends that enable companies to make data-driven decisions. Learners will also learn how to use tools like Hadoop, Hive, Apache Spark, MySQL, Apache Pig, PySaprk, Sqoop, MapReduce, and others to methodically extract information and analyze data sets that are too huge and complex.

Big Data Analytics (Online) certification is a 6 days course which is produced by the Indian Institute of Management, Ahmedabad. With this online course, candidates will come to know how important it is to implement Big Data Analytics in business so that correct decisions can be made.

Big Data Analytics (Online) certification syllabus contains topics like Data Management infrastructure, Analytics, and Analytic Strategies. Any organization that takes big data analysis into account then they can be a leader in the market, and they can cross major hurdles while managing big data. The learners will also be able to communicate the analytic results and by using both storytellings with data.

Big Data Analytics (Online) training will allow the applicants to foresee different challenges, and issues, that help in implementing big data analytics in those organizations. The learners will be able to identify how to hire, nurture, and then retain the correct analytical candidates who will be responsible for using the data analytics tool correctly.

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Big Data Analytics Certification Courses

The certified big data engineering course is offered and developed by the leading data science institute and online education platform in collaboration with the International Business Machines Corporation. The course is organized for 210 hours which includes thirty classes, e-learning sessions, and eight to ten hours of every week for independent study.

In this program, the learners gain the highly demanded knowledge and skills of big data analytics that drives data processing and management in industries. This course enables the students to become big data professionals who are required in the fields like Information Technology and Information technology-enabled services. The experiential learning techniques with the projects, assignments and other practical exercises provide the students with a wholesome learning experience.

 In this certification program, the students will get an opportunity to receive dual certification partnered with IBM. The certified big data engineering course is a skill development program that also provides career guidance for the participants.

The Online Big Data course by Digital Vidya has been designed to help students explore the fundamental principles of Big Data Analytics. The training, in collaboration with NASSCOM SSC FutureSkills, provides candidates with the skills and techniques of data management and data analysis required for Big Data Analytics positions and roles.

The Digital Vidya Online Big Data Course consists of course material crafted by trained experts, PDFs and PPTs, real-time projects, hands-on assignments, and over nine tools to help you learn the workings of the Big Data industry. The Online Big Data Course’s self-paced curriculum focuses on laying a good foundation of Big Data and its management for the participants. 

Additionally, the Certified Online Big Data Course talks about the various critical tools used in Big Data Analytics, including Spark MLlib & GraphX. The programme covers all the parameters of Big Data Analytics to help you become a fluent professional in this field. You will receive two certifications from Digital Vidya and NASSCOM SSC FutureSkills Foundation after completing the Online Big Data Course training.

The AWS Data Analytics Certification Training Course covers topics like Kinesis streams, AWS big data storage, processing, analysis, s3, DynamoDB, and security services. The AWS Big Data Certification course includes essential AWS methodologies and techniques, enabling students to get industry-ready and land a coveted job of their choice.

The course also offers a lot of hands-on experience, with many practice and industry-based projects for the students to dabble in. The projects also help candidates get a clear picture of what’s expected in the industry. Moreover, AWS Data Analytics Certification Training Course by Simplilearn will also enable candidates to prepare for the AWS Certified Data Analytics - Specialty exam.

Moreover, AWS Data Analytics Certification Training Course by Simplilearn also aims to provide the candidates with exhaustive knowledge about various elements of cloud computing and its deployment tactics via eLearning content, practice simulation tests, and industry-based projects. Candidates also receive 24x7 learner assistance for any queries. Upon course completion, successful candidates will receive a course completion certificate.

The world is becoming a marketing analytics giant, as every industry relies on the open-sourced data that is collected and put together for reflective and effective outcomes. With Vskills Certified Logstash professional course, you will be able to learn and gain an in-depth knowledge of Logstash.

Logstash is an open-source processor for collecting, parsing and storing data. It consumes data from qualified sources and channels it into effective outcome windows to enhance data intelligence and productivity. 

The software works on improving the data along with modifying and transforming it into refined outsourced data. Candidates will understand comprehensive and extensive tools under Logstash. The V Skills certified Logstash professional programme curriculum covers core lessons such as Logstash installation, configuring, managing, modules, data transformations, scaling, and deployment. 

After completion of the online course, the candidates will receive a government-recognized certificate, commending and acknowledging the course and its curriculum. To receive this, they must pass the course-end online test.

The IT industry is expanding every minute with multiple other sectors in constant need of data analysis. As a result, working opportunities are wide open for certified professionals. By availing of this online course, you can build a strong skillset for your professional services. 

The Vskills Certified MapReduce Professional online course is designed to help candidates in developing skills for operational data and statistical computation.

The Certified MapReduce Professional certification course will comprehensively cover the fundamentals of the MapReduce programming model. Additionally, the online course will make you adept in various MapReduce features from user commands to job output. By the end, you will master the premium software for managing detailed data and information seamlessly. 

Apply for the Certified MapReduce Professional programme, and gain access to easy and effective learning methods. Complete the entire certification course at your convenience via productive online classes. Once you finish the modules, appear for the certification exam, and become a certified MapReduce professional. 

The Big Data on AWS certification course provides the learners with a clear understanding of the fundamentals of the big cloud data principles and Amazon Web Services. This includes Amazon Kinesis, Amazon Redshift, Amazon Elastic Map Reduce(EMR) and Amazon DynamoDB, etc., to name a few.

AWS can be utilised in designing scalable, robust, and top-notch quality systems. The Big Data on AWS course by E&ICT Academy of IIT Kanpur ensures that the candidates get 360-degree knowledge of the advantages and disadvantages of each of the Amazon web services. The prestigious IIT Kanpur’s E&ICT Academy has created this course.

The Big Data on AWS certification course will let the students explore a wide array of the cases used in solving specifically big data problems by using Amazon web services. Thus, students will become proficient in designing low-priced, robust, and big data environments using AWS. Candidates will also be awarded a certificate of completion.

Informatica Big Data Integration Training Course helps you to understand the Informatica Big Data Integration in detail and learn how to design and build data integration making use of Informatica and ELT mappings on the Hadoop database. The curriculum will discuss the numerous concepts related to Informatica Big Data Integration such as Hadoop ingestion, Problem formulation, data analysis, Data configuration, concerts of big data, and the like.

Informatica Big Data Integration Training online course, offered by Mindmajix Technologies, will facilitate the students to be proficient in application development using the high-level architecture of big data integration, data management, data cluster management, etc. Informatica Big Data Integration Training certification will expose the learners to both theoretical and practical knowledge of Informatica Big Data Integration with the help of practical projects and use cases. The learners can enroll in the programme by the means of any of the three available ways. 

Big Data on AWS Training Course familiarizes the learners with developing and managing big data solutions on the platform of AWS (Amazon Web Services) and prepares them with the skills and knowledge to become certified AWS Big Data developers. In this online training by Mindmajix Technologies, the students will study a wide range of topics related to big data on AWS such as cluster management, application of big data in real-time situations, structured and unstructured data, and the like. 

Big Data on AWS Training online course demands having knowledge and understanding of the following topics as the prerequisites to be eligible for enrolling in the course, namely, basics of big data,  Apache Hadoop, SQL/NoSQL querying, HDFS, MapReduce, database design, relational database systems, data warehousing along with the working knowledge of key functionalities of AWS. After the Big Data on AWS Training certification, plenty of professional and career opportunities are available for the candidates; AWS Big Data specialist, Big Data AWS Architect, AWS - Spark Scala Developer, AWS & Big Data Designer, Big Data developer, to name a few. 

MindMajix Technologies Inc. created the Bigdata Greenplum DBA Training certification course for students who wish to advance in their careers by learning the core topics such as Greenplum's big data principles and big data analytics methodologies in order to be better prepared for future employment prospects.

Bigdata Greenplum DBA Training online classes will educate you on how the database takes a global perspective of execution throughout the computer network and how to implement potential execution strategies. Bigdata Greenplum DBA Training online course is separated into 15 sections that cover major Greenplum subjects such as Greenplum architecture, broadcasting, distribution policy, distributed database, Greenplum security, monitoring, data distribution optimization, and much more. The course also includes Mindmajix's premium services such as resume building, counselling, and mock interviews.