List of Online Courses and Certifications

One can hardly talk about Big Data without mentioning Hadoop. The explosive growth witnessed in the data sciences and engineering industry has created ample job vacancies. EduPristine’s Data Engineering with Hadoop programme is the most comprehensive and intensive training in data engineering and trains the participants in the skill-set required to thrive in this industry.

This Data Engineering with Hadoop course is targeted towards IT and analytics professionals, who are trained by EduPristine’s subject matter experts in various Big Data tools and given hands-on experiential training. Post the course completion; candidates also get end-to-end career support and job assistance. Candidates learn about the Big Data tools, including MapReduce, Apache HBase, HDFS, Apache Spark, Hive, Sqoop, Pig, Scala, Apache Oozie, among others. 

The curriculum is an amalgamation of theoretical and practical learning and provides you with a data engineering certification at the end of the course. Participants are taught by our expert instructors and provided guidance every step of the way, from installing the software to learning its niche functions and mastering it. Data Engineering with Hadoop certification training also requires you to complete a live project.

The importance of Data analysis has amplified in the last few years. The Advance Data Engineering training course will present you with the knowledge you require to evaluate data-sets with great expertise.

The Advance Data Engineering online course is self-paced. You will have access to industry-specific and industry-relevant study material. Furthermore, you will be groomed by industry experts in the art of Big Data Tools such as Apache NIFI, MongoDB, SparkStreaming, KAFKA, SparkRDD, HUE, SparkSQL, Python, FLUME, and DataFrame.

The practical projects will put you into a real-life simulation. There will also be after course engagement sessions and dedicated discussion forums to lay your doubts to rest. Furthermore, you will receive job updates, along with reliable career management and resume building aids. Additionally, you will also get unrestricted access to the LMS for a full year. 

Incidentally, the EduPristine Advance Data Engineering curriculum will provide you with ample opportunities to showcase your skills as a data engineer. Finally, you will be receiving the Advance Data Engineering Certification after completing this programme.

In the Capstone: Retrieving, Processing, and Visualizing Data with Python Programme, learners will explore all the fundamentals of visualising, processing and retrieving data using Python programming language. Projects will comprise all elements of the specialisation. The first part of the course will focus on acquainting students with present technologies and giving them enough knowledge to work on their own projects and visualise other data. 

This course covers Python 3 and deals with skills like Python Programming, Database (DBMS), Data Analysis and Data Visualization (DataViz) amongst everything else. It is a part of Python for Everybody Specialization course offered by the University of Michigan, thus honed by experts who have worked in the present field for years and brought their valuable insights and takeaways from the current domain for the candidates.

Besides this, the curriculum will also brief course takers with basic concepts surrounding programming, namely- networked application program interfaces, data structures and databases, all using Python which holds extreme significance in Data Analysis and Data Science.

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

We are witnessing and adapting to the fourth industrial revolution, Industry 4.0, powered by Big Data and AI. At the global level, data integration has become highly essential for organisations and businesses to achieve global competitiveness. With the prevalence of Big Data all around, it becomes highly relevant to explore the underlying information and reap optimum rewards. In this scenario, data science and analytics enable decision-makers and business leaders to understand, manage and utilise data effectively.

R is a free, open-source programming language that is widely used by data scientists and analysts for developing software and applications in a data science setting. R offers tools and techniques for data analysis, statistical computations and data visualisation. R is available to use on various operating systems and is widely recognised for its extensibility, which allows developers to develop and distribute their own software as add-on packages. These features make R programming an ideal choice for data science experts and data analysts to utilise R in a variety of fields and areas.

The R Programming Environment online certificate course offered by Johns Hopkins University via the Coursera platform aims at providing useful knowledge of R Programming Language to data scientists, data analysts and data science experts to efficiently work in data science settings. This 100% online programme is of intermediate level and the first course in the Mastering Software Development in R specialisation.

The lot market is the main connection between machines and equipment in a factory of the digital world also called the cloud. IoT helps one to analyse, collect more data, and help make better decisions in the end. Today’s manufacturers know it is important to bring IT closer to operational technologies that control all their machines and equipment. The term industry 4.0 has now set manufacturing standards for all the manufacturers for creating smart factories where no much labor force is required just by using industrial loT.

But with the advancement of technology, there are a few dark sides of the advancements that everyone has to keep in mind and take care of, it is the security of all the systems that are used. Security is extremely necessary for the manufacturers from harmful viruses and other things that intend to harm their system and the data that is stored. This can lead to a huge loss to the manufacturers.

This course will help build employees of the future who will have the required skills and knowledge about the security problem and the Industrial lot markets. Help them to build a bright future ahead.

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

The Advanced R Programming certification course is the second one in the ‘Mastering Software Development in R Specialization’ series offered by Coursera. The course curriculum explores the advanced topics such as functional programming in R, object-oriented programming, robust error handling, profiling and benchmarking, debugging, as well as the proper design of functions.

The Coursera Advanced R Programming online course, offered in collaboration with Johns Hopkins University, aims to prepare students for unique data challenges and to identify everyday data analysis tasks. They will also learn how to define new data types in R, create functionalities specific to these for enabling cleaner execution of tasks related to data science, and stronger reusability within a team. All this is taught through pre-recorded videos, readings, graded quizzes, and assignments, for a valuable learning experience.

Furthermore, the Coursera Advanced R Programming online course is designed, keeping in mind the convenience of students. Hence, the modules are self-paced and entirely online to help students learn from the comfort of their own space. Upon satisfactory completion, participants get a \shareable certificate.

The Data Manipulation at Scale: Systems and Algorithms online course by Coursera is the first step in the Data Science at Scale Specialization series. The University of Washington offers the certification course in collaboration with Coursera.

The Data Manipulation at Scale: Systems and Algorithms online certification course aims to teach the landscape of relevant systems to the students and how these systems are evaluated along with the principles on which they rely. Students will also learn the context of data science as well as the history, skills and challenges that come while working with data. Moreover, students will get hands-on experience in learning how to structure a data science project. 

Additionally, the Data Manipulation at Scale: Systems and Algorithms class programme is a self-paced learning course so that students never have to worry about missing a class. At the same time, the course is 100% online so that they can learn from the comfort of their home. The students will be awarded a shareable certificate after completing the course, which can be shared on professional platforms. 

The programme Certificate in R programming is introduced by V skills academy to prioritize the career by programming with R. 

The main goal of the academy lies with the career-building to the students who are interested in programming and its basics. Therefore, the VSkills academy helps the candidates with conceptual learning and practical skills as well to educate the candidates with the key basics of R Programming.

R programming is used for data analysis and data visualization to sort the data, queue the data, and merge the data as well. 

R programming with combined data science has a better future for the candidates in the field of robotics, artificial intelligence, and machine learning. Therefore, there is a need to get the best skills in R programming, and thereby V skills academy comes into the act.

The academy has many joining hands with the MNCs and top global companies. So the academy helps the candidates to get them hired in their desired field with their skills and knowledge. The academy offers an e-certificate that is sharable to resume and CVs and the certificate is approved by the government. So it adds value to the resume and increases the chances of hiring the candidate.

The Certificate in Data Analysis with R programme offers in-depth knowledge about using R, an open-source programming language, in the field of data science. 

With constant technological and business advancements, data analysis has become a popular domain with fantastic career opportunities. It revolves around applying analytical and statistical techniques and analysing data sets. This helps the decision-making process and prediction of business tactics to a great extent.

The R language provides the various techniques used in statistical computing, graphical representation, and data analysis. The online course, Certificate in Data Analysis with R, deals with practices that involve classical statistical tests, clustering, linear and nonlinear modelling, classification, time-series analysis, etc. You can also boost your career with outstanding employment opportunities by receiving the government-authenticated course certificate. 

If you are hoping to get employed by IT companies, improving your skills with the Certificate in Data Analysis with R online training will not only polish your resume but also increase your chances of being recognized in the industry.

The Certified Grid Computing Professional course from Vskills prepares candidates to provide for a company’s grid computing and transformation needs. 

It assesses their knowledge of terminologies and technical concepts as well as their practical application. Grid platforms like OGSI and OGSA, are covered well under the curriculum. Candidates will also learn about various other technologies used in grids, including XML, SOA, and cluster, and their implementation using the Globus Toolkit. 

Graduates looking for jobs in the computing and analysis departments should take up this course, for a competitive edge in the market. Professionals already working in these departments can also take up this Certified Grid Computing Professional training course to upskill themselves and excel in their careers. But otherwise, anyone interested in learning how to install and manage grids can apply for this online certification training. 

With 16 modules, this programme will make you a Certified Grid Computing Professional for life, and it will also help you find jobs on popular job-search platforms. You will receive ‘Vskills Certified’tags on your profile on Shine.com and Monsterindia.com after you complete this course.

The world is rapidly moving in the direction of Social, Mobile, Analytics and Cloud, and the industry is already on a fierce growth track to build on these fundamentals. Therefore, Vskills has designed this Certified SMAC Professional course to keep every professional and newbie updated about what these fields are and how you can utilise them to further progress in your career.

Vskills’ Certified SMAC Professional training in Social, Mobile, Analytics, and Cloud (SMAC) is an all-round, ideal option for every aspiring professional who wants to leverage the power of social media, analytics, mobile, and cloud computing. As a SMAC professional, you will be able to improve relationships with enterprises which are geographically apart.

To help you with the certification exam preparation, Vskills provides you with a comprehensive set of study material, both in the form of a soft copy and a hard copy, which covers all the topics relevant to the certification test. After passing the test, you will get a course completion certificate approved by the government and a ‘Vskills Certified’ tag which you can emblazon on platforms like Monsterindia and Shine.

The RDBMS PostgreSQL programme is a spoken tutorial course by Swayam. Relational database management system or RDBMS is the basis for SQL and all modern database systems such as Oracle, Microsoft Access, IBM DB2, MS SQL Server, and MySQL. In this course, the candidates will learn to handle the PostgreSQL database. 

The RDBMS PostgreSQL course offered by Swayam is designed and taught by Prof Kannan Moudgalya, the Principal investigator of the Spoken tutorial project from the Indian Institute of Technology, Bombay. This is a self-paced course, comprising nine audio-video spoken tutorials, specially designed to help the candidates learn RDBMS PostgreSQL with ease. 

The RDBMS PostgreSQL online programme is classified as both an undergraduate and a postgraduate-level course. The candidates can complete this course in six weeks, by following the guide provided on the course page. Each tutorial has an assignment at the end, which is solely for self-evaluation. Furthermore, it is an entirely online course.

As a learner of the SAS Training and certification online course, you will become adept at writing SAS code and analyzing real problems. Edureka has built the course curriculum to specifically teach concepts and develop skills of SAS Programming language, leading statistical techniques and several tools that are important for a successful Analytical professional.

The techniques taught in the SAS Training and certification course can be used to become an advanced SAS programmer. The training includes several practical learning exercises with a series of interactive activities to impart a lasting learning experience on the student.

Moreover, the candidates will learn a wide range of topics such as ‘Set and merge statements’, SAS arrays, useful SAS functions, Advanced SAS procedures, data optimization, PROC, clustering, data sorting and much more. In addition to learning theory, candidates will also get hands-on experience on various SAS topics.

The SAS Training and certification live online course prepares the students for the following certifications: SAS Certified Base Programmer for SAS 9 and SAS Certified Advanced Programmer for SAS 9.

Edureka’s Data Analytics with R Programming Certification Training course imparts the necessary skills and knowledge of a fluent analytics professional. Hence, the curriculum will help you learn core topics such as collaborative filtering, data mining, sentiment analysis, data visualisation, exploratory data analysis, regression, etc. You will also establish the command of using the R Studio for real-time case studies on social media and retail.

The Data Analytics with R Programming Certification Training curriculum features instructor-led live online classes, practical assignments, a 24x7 online support, a community forum for peer interaction, and immersive project work. These will enable you to undergo an interactive and fruitful learning journey, establishing a firm foundation of Data Analytics with R. 

Once you complete all the lessons, project work, and case studies, you will receive the Data Analytics with R Programming Certification Training. The accreditation will help you showcase your acquired skills and pursue employment profiles in coveted organisations. Besides, Edureka will also provide a ‘resume builder tool’ with your e-learning LMS to help you form a robust resume and ace recruitment. 

Python is one of the most sought after programming languages. This Python with Data Analysis course is being offered by E & ICT Academy, IIT Kanpur, and an online programme. You will gain acquaintance with Python's fundamentals and then gradually learn the advanced Python concepts. It is a 25-day training programme that has a self-directed training approach.

The Python with Data Analysis training programme has an extensive course curriculum delivered to you via high-quality video lectures. You require a basic understanding of mathematical and logical reasoning to enrol in this course. Also, you can access the course content at any time, anywhere.

The Python with Data Analysis online course houses several assignments and a term-end evaluation quiz. The quiz has an MCQ-type format. Once you qualify for this quiz with more than 60 per cent, you will be eligible for the course completion certificate. The certificate contains E & ICT Academy, IIT Kanpur, and MeitY logos. 

The R Programming - A Practical Approach course enables learners to become proficient in dealing with concrete datasets. Analysis of data is one of the highest valued skills employability, which makes this course unique. Candidates will get hands-on data analysis experience. This training programme carries a 67 credit score.

The R Programming certification training ensures that the learners have a detailed understanding of the various fundamentals of the R language. This includes using data sets and designing analysis charts like pie charts, bar graphs, histograms, 3D scatter plots and box plots. As this is a paid programme, candidates can access the course content after paying the programme fee. The course fee provides them with access to the course content for six weeks.  

Moreover, the R Programming online certification allows the students to explore various applications of the R language. They will learn how it can best be applied in various domains like machine learning, statistics, and data analysis. The course welcomes all students, faculties, and working professionals of the IT/CS domain.

Students who enrol for Google Data Analytics Capstone: Complete a Case Study certification course will be able to attend online sessions with no restrictions regarding time limitations. The course is offered by Google and talks about data analysis. The course helps the student prepare for jobs in the relevant field.

The Google Data Analytics Capstone: Complete a Case Study online course includes video sessions, readings, practice papers, quizzes, assignments as the study material of the programme. Along with the available pedagogy, the course also involves a case study that helps the students gain information on how the organizations work in the market.

The course is a part of the Google Data Analytics Certificate and needs only 13 hours for completion. The course is available for free as well as with a subscription. The course also allows students to have financial aid according to their requirements. By the time the course ends, students get an opportunity to achieve a certificate after completion of their graded assignments.

The Data Wrangling with MongoDB online course is a part of the Data Analyst Nanodegree, offered by MongoDB, in association with Udacity. It will teach you about data wrangling from diverse sources and how to shape it to facilitate data-centred applications. You will also learn how to extract and gather data from popular data formats.

The Data Wrangling with MongoDB certification syllabus includes the fundamentals of data extraction, assessing data quality, and data cleaning’s best practices.  The curriculum has seven broad lessons that are further divided into different modules. What’s more, instructors will familiarise you with MongoDB, data storing essentials, MongoDB’s query language, and its aggregation framework.

The Data Wrangling with MongoDB training by Udacity is a self-paced intermediate course that consists of multiple learning aids. These include instructional videos, practice exercises and quizzes. This is an excellent course if you want to apply for entry-level data science positions or are a working professional.

The Master of Data Science Certification Course is an online course that aims to enhance and develop your skills and knowledge in the basic concepts of programming, statistics, machine learning, and deep learning. The course will discuss the tools and techniques involved in R programming, OpenCV, TensorFlow, deep learning, machine learning with Python using Scikit-learn or R programming language.

The Master of Data Science Training Course offered on the V Skills platform provides students an opportunity to gain professional skills in data science from industry experts and certified instructors. The online certification course will not only help learners in heightening their theoretical knowledge but also provide them a platform to explore the practical applications of the subject.

The Master of Data Science Online Course is delivered through informative video tutorials and academic content. The candidates are assessed through a one hour long online examination carrying 50 marks. Upon the successful completion of the exam, candidates will receive a final course certificate. You can also get the 'Vskills Certified' tag after course completion.

The deep learning with python online course is developed and offered by the online education provider Analytixlab for the students who wish to upskill themselves with the deep learning skills and technologies that drive state-of-the-art applications in the domain of artificial intelligence.

The course is scheduled for the candidates with the knowledge of fundamentals of data science and Python programming language and will take a hundred and thirty hours to complete the program.

The course training consists of twenty classes and the students are allowed to work with ten assignments and projects to exhibit the theoretical knowledge and concepts gained during the exploration of the artificial intelligence and deep learning domain in data science. 

The deep learning with python training enables the students to gain expertise in deep learning and the candidates are provided with a dual certification by Analytixlab partnered with the International Business Machines Corporation and continuous support in finding job opportunities.

The Outlier Detection Algorithms in Data Mining and Data Science online course is about the basic and advanced techniques and strategies of outlier detection with improving the programming skills with the algorithm application in Python, R, and SAS. The Outlier Detection Algorithm course is developed and provided by the online education platform Udemy for students interested in learning fraud detection and intrusion detection.

The course curriculum consists of two and half hours of video content and ten downloadable resources available to the students at any time to access after joining the program. The course instruction is offered by the KDD expert, a data scientist, and a professional with data mining, data analysis, and machine learning. 

The ‘Outlier Detection Algorithms in Data Mining and Data Science’ training program is a self-paced learning program that provides the students a course completion certificate after finishing the course study. The online program helps the students gain an opportunity in learning about the theoretical and practical applications of the outlier detection techniques in data mining and data science.

The Machine Learning, Data Science, and Deep Learning with Python online course is a 15.5 hours on-demand course provided by Udemy. The course teaches about Keras and Tensorflow that are used to create artificial neural networks. The course also teaches about deep learning that may be used to classify data, pictures, and feelings.

Machine Learning, Data Science, and Deep Learning with Python training teachers to use linear regression, multivariate regression, and polynomial regression to make predictions. The course teaches about Seaborn and MatPlotLib that are used to visualize data. Candidates will learn to deploy machine learning at a huge scale with Apache Spark's MLLib.

The Machine Learning, Data Science, and Deep Learning with Python syllabus covers the use of Support Vector Machines (SVM), K-Means clustering, KNN, Naive Bayes, PCA, and Decision Trees to classify data. The course teaches to develop a movie recommendation system that combines user-based and item-based collaborative filtering.

The ‘Data Analytics and Reporting’ online course is designed for the students to develop a comprehensive understanding of the principles of data analytics, data preprocessing and the techniques and tools associated with data analysis. This certification program is provided by TCS iON digital learning hub for students who fulfill the eligibility criteria.

This industry honors certification by TCS iON will impart expertise in data analytics for machine learning and for statistical algorithms. The students are engaged with virtual learning methodologies aided by digital resources, lectures, practical sessions, and the online classroom. The course mentors are the academic professionals and industry experts such as the associate professor from IIT Patna, consultants, and managers from TCS. 

The ‘Data Analytics and Reporting’ online certification course equips students with professional skills for internships and career development with five-course credits after completion of the course. Digital certificates are given to participants of the program.

The ‘SAS Macro Language’ online certification program is designed for the students to gain expertise with the statistical analytical system by learning about the tools and techniques for Data steps and processes to handle the data. This intermediate-level course is provided by the Coursera education portal with the SAS. The students can finish the course classes within twenty hours during three weeks.

The instructors for this course are academic and industry professionals such as Stacey Syphus, a senior manager of Education. This certification program is offered as part of the SAS advanced performer professional certificate and the students are allowed to study with adjustable deadlines for the assessments and tests. The students from different language backgrounds will benefit from the subtitles that are available in French, Portuguese, Russian, English, Spanish for the course materials.

The ‘SAS Macro Language’ online training program equips students with the course certificate at the end of the course after completion of the training, graded assessments, tests.

The Complete Python/PostgreSQL Course 2.0 certification course is created by Codestars by Rob Percival - Teaching the Next Generation of Coders, Teclado by Jose Salvatierra - Software Development For Everyone, and Jose Salvatierra - Founder of Teclado and Software Engineer and is offered by Udemy Inc., an online learning platform that aides amateurs in learning new skills and knowledge and professional people in enhancing their competencies to enhance their skills.

The Complete Python/PostgreSQL Course 2.0 online course is designed for individuals who want to improve their database skills, learn about PostgreSQL and use it from Python. Learners will be skilled enough to apply their learning in other database systems such as MySQL, Microsoft SQL Server, and Oracle.

The Complete Python/PostgreSQL Course 2.0 online training is focused to help the learners get an understanding of the following topics such as user-defined functions, stored procedures, locking, and async database connections of advanced PostgreSQL.  The interested learners could enrol on the course by paying the fee. Early birds will be given a discount if available.  

Deep Learning: Recurrent Neural Networks in Python online certification is a compelling course presented by an inspiring instructor. The cases are well-chosen, demonstrating foundations through fun, creative projects rather than lecturing on abstract concepts. The course is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an ed-tech organization based in the United States that supports students with the greatest and most up-to-date skills through online courses in more than 180 countries.

As the Deep Learning: Recurrent Neural Networks in Python online training involves complex concepts, candidates should have prior knowledge of the following topics to get the most out of the course: matrix addition, multiplication, basic probability, python coding, Numpy coding, matrix, and vector operations, loading a CSV file. The course also provides 12 hours of prerecorded English lectures and an article for understanding the topics at their own pace.

Spark and Python for Big Data with PySpark online certification are designed to develop one of the most demanding and valuable skills in the field of technology i.e., big data analytics technology which is widely used among technology firms including Google, Meta, Netflix, Amazon, and Airbnb i.e., Apache Spark. Spark is up to 100 times quicker and efficient than Hadoop MapReduce, resulting in strong growth in the need for skilled professionals. Due to the newness of the Spark 2.0 DataFrame framework, individuals with skills are considered among the most valuable professionals in the industry.

Spark and Python for Big Data with PySpark online course is a short-term programme developed by Jose Portilla, Head of Data Science, Pierian Data Inc., and offered by Udemy Inc., a US-based online learning platform that provides courses for both amateurs and professionals.

Spark and Python for Big Data with PySpark syllabus include topics such as fundamentals of Spark DataFrames, optimization of Spark 2.0 syntax. The course also provides content for MLlib Machine Library with DataFrame syntax and Spark, Spark SQL, Spark streaming and Gradient Boosted Trees which learners will learn through 10+ hours of video content, articles and downloadable materials. 

Data Analysis with Pandas and Python online course is developed by Boris Paskhaver, Software Engineer, Consultant, Author, and Instructor and offered by Udemy Inc., a US-based online learning platform to help beginners learn new skills and professionals to polish their existing skills. 

Data Analysis with Pandas and Python online certification will make you familiar with the famous Pandas library, which is based on the Python programming language. Pandas is a comprehensive tool that allows individuals to perform tasks with big data sets, including analysing, organising, sorting, filtering, pivoting, aggregating, munging, cleaning, and calculating.

Data Analysis with Pandas and Python online training will take you through Pandas stepwise, from installation to visualisation through 21.5 hours of pre-recorded lectures, articles, downloadable materials, coding exercises, etc. where hundreds of methods, characteristics, features, and capabilities are crammed into a fantastic package for an outstanding understanding of all the topics. Interested candidates can enrol themselves in the course by making a one-time payment.