Free Big Data Analytics Courses & Certifications

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.

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.

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 ‘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.