Coursera Big Data Analytics Courses & Certifications

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.

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. 

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.

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).

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.

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 21 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 four-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. 

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 19 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 is the enormous amount of data that organizations have access to as a result of its scale and complexity, which makes it difficult for many analytics tools to handle or evaluate. The amount of data acquired, the frequency at which it is made available to an organization for evaluation, and the complexity or variety of that data can all be aided by tools for big data. The Google Cloud Big Data and Machine Learning Fundamentals online certification was created by Google Cloud and is taught by Google Cloud Training, which is provided through Coursera.

Google Cloud Big Data and Machine Learning Fundamentals online classes introduce the learners to the methods associated with big data and machine learning services on Google Cloud and products that enable the data-to-AI lifecycles. The Google Cloud Big Data and Machine Learning Fundamentals online course covers the steps, difficulties, and advantages of establishing a big data infrastructure and machine learning models using functionalities of Vertex AI on Google Cloud as well as the characteristics of tools like Qwiklabs, Apache Beam, AutoML, TensorFlow, BigQuery, and others.