Free Big Data Analytics Courses & Certifications

Big Data Analytics Using Spark course will be helping the students in analyzing the big data sets using the mechanisms of MapReduce, Jupyter notebooks and spark technologies. The ten week Big Data Analytics Using Spark course is the fourth in a series of the “Micro Master” programme by edX. Students will be learning about the difficulties that arise in the parallel computation system. Students will be taught both unsupervised and supervised methods of performing machine learning functions on data sets in the Big Data Analytics Using Spark programme. 

The candidates will also be learning about the machine learning library (MLLiB) mechanism in detail and in a comprehensive manner. Big Data Analytics Using Spark by edX will be conducted by experts of computer science. During the course, students will be provided with assignments and video lectures for comprehensive learning. The students will gain and build experience in the machine learning environment using the various tools available. The Big Data Analytics Using Spark certification will be guiding the candidates advanced level. 

There are 2 tracks namely the audit and the verified track which are self-paced. The candidates may choose any of these tracks and can be enrolled. The main differences between these 2 tracks are access to the course materials and certificate of participation. During the audit track, the access is limited and no certification is given whereas during the verified track, access is unlimited and a certification is also offered.

Big Data Analytics is an online programme available on edX that falls under the subject of Computer Science. The programme is designed and administered by AdelaideX, which is the massive open online course (MOOC) platform of the University of Adelaide providing free online courses to students worldwide. 

The Big Data Analytics Certification is designed to train the participants on major tools and techniques to come up with important business information and make business decisions by storing, processing, and analysing large-scale data such as R and Apache Spark. By joining the Big Data Analytics Certification by AdelaideX offered by edX, the participants will develop the potential to creatively approach the major issues and challenges of data science. 

The Big Data Analytics Certification Syllabus will help the students build a detailed understanding of big data analytics, cloud-based big data analysis, predictive analytics, etc, and sharpen their programming and mathematical skills. There are two modes to take the self-paced programme; verified and audit-free modes. In the free mode, the learners will get only limited duration and in the verified track, they can get unlimited access and a certificate of completion. 

Big Data Analytics in Healthcare Certification Course is to analyze and extract usable information from Big Data, to be precise Medical facilities like hospitals and colleges use both structured and unstructured data in their practice. Structured data has a predetermined schema, it is extensive, freeform, and comes in a variety of forms and formats. On the other hand, unstructured data also referred to as Big Data (BD), does not fit into the typical data processing form and format.

Candidates learn how to use Big Data Analytics techniques and tools to analyze and extract information from Big Data (BD). And such results of Big Data Analysis can be used to predict the future, help in creating trends about the past, and neutralize them. When it comes to healthcare, Big Data Analysis allows the study and examination of large datasets from thousands of patients, identifying clusters and correlations between data sets.

Big Data Analytics in Healthcare Classes will enable candidates to take data-driven decision making, receiving better-personalized predictions about prognosis and responses to treatments, that influence health at the patient level.

All candidates undertaking the course shall receive Big Data Analytics in Healthcare Certification by the Georgia Institute of Technology through Udacity.

The large quantum of data that is being generated from laboratories and clinics has the potential to unearth trends and inferences which can transform our efficiency in providing patient care. This management of data is a mighty task for most of the community.

The Demystifying Biomedical Big Data: A User’s Guide online course aims at the rudimentary understanding of the data being generated, its analysis, and subsequent interpretation for those professionals who are involved in the bioinformatics field. You will find most of the catchphrases being demystified over the course of this engagement.

The US National Institutes of Health is gracious enough to fund the operations of the Demystifying Biomedical Big Data: A User’s Guide program, and to deploy competent resources that make this program understandable by the participants by putting in 3 to 6 hours per week. It’s a self-paced program and can be taken while keeping one’s job.

The Knowledge Management and Big Data in Business program presented by the platform of Edx provides learning freedom to all candidates interested in business and management. The course is an 8-week learning program. Students should invest 6-8 hours weekly to complete this management and big data business certificate programme. The Hong Kong Polytechnic University has designed the Knowledge Management and Big Data in Business training in collaboration with Edx. Interested candidates willing to study in this management training program will learn about subjects such as management and business. 

The online course on big data in business and knowledge about management provides introductory-level knowledge about the concepts related to the field. There are two options to pursue the Verified Knowledge Management and Big Data in Business certification, namely, verified and audit. In the verified mode, the learners can get this certification program after paying the required fee. Aspirants can avail themselves of this program free of cost in the free audit mode. 

There has been a surge in the use of online and software-based learning tools and their applications in the education sector in recent times. This has resulted in an increase in data generated that can be used for improving educational effectiveness. This can also help in supporting research for learning. The Big Data and Education by edX is one such initiative to make candidates learn about the methods and key analytics techniques for data mining and its uses in education.  This Big Data and Education certification will teach candidates about the various techniques and methods being used by researchers and developers in the data mining of the education domain. 

The various methods covered in the Big Data and Education certification syllabus are using and applying Python and other tools such as RapidMiner etc. The practical aspects of this like determining the trustworthiness and other application shortcomings will also be covered. The learners have two modes to join the programme; free and verified. In the verified mode, the learners need to pay the fee and will get the certificate whereas in the audit mode, the candidates can join the course free of cost and get a limited duration. 

The Biostatistics for Big Data Applications training starts with statistical concepts and terminology, and a brief introduction to the R statistical software package, creating a foundation for learners to build on. Later on, the fundamental components of the bio statistical methodologies used in both omics and population health research are discussed.

Examples will be discussed after each topic in the Biostatistics for Big Data Applications certification syllabus. There will also be self-assessment opportunities for learners to gauge their understanding. Moreover, to improve their R programming skills, participants can undertake practice exercises and use real datasets that will be provided to them.

The Biostatistics for Big Data Applications programme is developed by the University of Texas Medical Branch (UTMB). The video lectures are delivered in English, and their transcripts are also available only in English. To complete the programme comfortably within eight weeks, learners should spend around 2-3 every week, studying.

Offering 2 credits, and having a course level of postgraduate, the Big Data Computing certification is an 8-week course. This certificate course has been curated by NPTEL and IIT Patna, on the Swayam platform. The curriculum is the presentation of the IIT Patna faculty mainly for students. Or engineers or even scientists of all fields of studies who want to seek ideas related to Big Data Computing and its applications.

Big Data Computing training is very important in this world of gathering different data components of social media, transactions records of purchases made, cell phone GPS signals, climate information, and more. Big data computing will help participants to solve data problems related to such a big variety. This certificate course which is free will guide all the participants through the applications, problems, and technologies that are used by big data. Moreover, this certification has the backing of several big tech companies like Microsoft, Amazon,  IBM, Google, and Facebook 

For candidates looking forward to making a successful career in the big data industry, this certificate course on Big Data Essentials: HDFS, MapReduce and Spark RDD is the best way to get started. This course gives you new tools and reading materials to direct you in the right direction. Technologies like MapReduce, HDFS and Spark are all covered in this certificate by Coursera. The 6 course is of 6 weeks and helps candidates learn the basics of technologies in the Big Data field. It guides you throughout the system internals as well as its applications in the real world.

Candidates can expect to learn about the distributed file system, the reason for their existence and their functions. This course will guide candidates to build a stronger understanding of the big data technology and concepts to better utilize them in their work. The programme focuses on developing skills in learners to learn and use these tools in creating a solution for social networks, finance, telecommunications and other fields.

The Big Data Essentials: HDFS, MapReduce and Spark RDD programme offer relevant assignments that impart practical knowledge and experience to solve the most pressing problems in the field of big data. It presents an opportunity to evaluate the assignments of candidates on a real cluster.

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.

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.

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.

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.