Online IT Software Courses & Certifications

The Executive PGP in Software Development - Specialisation in Big Data is an online programme that consists of live sessions and online material. The course has been curated for working professionals and includes 400 hours of content and industry projects that encourage you to learn through real-life scenarios. You will also receive personalised feedback on your project work.

Furthermore, Upgrad’s Software Development - Specialisation in Big Data curriculum aims to turn you into a skilled data science professional according to the industry standards. You will learn from industry leaders and world-renowned faculty. The course also includes hangout sessions to help solve your academic queries and doubts and ensure maximum comprehension.

The course has been designed keeping in mind the busy schedules of working professionals. Thus, you can study alongside your job and only need 12 to 15 hours of time commitment in a week. By the end of the 13-month duration, when you finish all courses, assessments, and projects, you will be awarded a certificate in Software Development - Specialisation in Big Data by IIIT Bangalore.

Big Data is truly one of the fastest expanding industries across the globe and it is going through varying numbers of fields, establishing its sector essentiality in each one of them, subsequently producing greater demand as well as requirements. It has reached high-value domains like oil, waste management, molecular biology and sports and sales as well, which is what makes a Professional Certificate in Big Data course so popular. 

The course Professional Certificate in Big Data prepares its applicants for these in-demand opportunities by allowing them to achieve mastery in techniques that are used in the line of work and help them to better identify the hidden patterns of datasets. The concepts are taught in a perfectly detailed manner that leaves no doubts and strengthens the applicants’ predictive analysis tools.

The program will prepare the participants for a luxurious career in many fields by skilling them with the respective fields’ requirements such as big data engineers in the marketing field who will learn incredible insights into customer behavior.

The Master Diploma in Big Data, AWS and Hadoop certification course at the Boston Institute of Analytics is a meticulously crafted programme that offers a transformative learning experience. Aligned with industry trends, it equips participants with practical skills to analyse large datasets and make informed decisions, preparing them for real-world challenges.

Tailored to industry practices, the Big Data Analytics certification by BIA covers essential aspects of big data analytics, ensuring individuals gain expertise in handling data, understanding patterns, and making data-driven decisions. With a focus on practical skills, participants are well-prepared for the dynamic field of big data.

Also Read: Online Big Data Analytics Certification Courses

Investment interests are being observed by companies of all sizes in building Big Data capabilities to add value to their core business operations. Thus, the demand for Big Data Engineers skilled in Arithmetic, Business Management, and Technology is experiencing incremental developments. Moreover, especially applicable in developing nations, there is a lack of aptly skilled Big Data Engineers. Hence, recruiters are usually left with vacant spots in their organizations. This is where they are willing to chalk out very impressive remunerations for professionals in this field.

Globally, the advent of data and the kind of insights it can bring about is gold-dust, thereby catching the attention of businesses. Moreover, the quantum of data being tapped into has come a long way in the last 5 years and is only increasing every quarter. Additionally, there needs to be systems in place that can extract actionable insights from the data. It is then that it benefits the organization in its truest sense.

The Post Graduate Certification Program in Big Data Engineering will introduce the participants to the role of Linux, SQL, and Java in this arena. Moreover, there will be two Mid-Program projects and a final Industry-grade exposure. These facets will enable students to have a very realistic experience. Moving on, the Big Data Engineering program will dwell into the building blocks for big data, followed by Distributed and Parallel computing.

The “Advanced Certificate Programme in Big Data” certification is an online certification that is provided by upGrad in association with IIIT Bangalore. IIIT Bangalore is a recognised university by the UGC, and AICTE approved. Along with this as per the NIRF Rankings, it is ranked among the top 70 universities. So, this Big Data course is a prestigious one for candidates pursuing it.

Again, the “Advanced Certificate Programme in Big Data” syllabus is a mix of both theory and practical knowledge that is based on a cutting-edge curriculum. The curriculum also teaches about the various tools and languages required for the Big Data industry like Python, Kafka, Spark, Hadoop, and many more.

The “Advanced Certificate Programme in Big Data” online course provides 360-degree placement support and adding this certification can be beneficial for the candidates who are trying to make a career in Big Data Analytics. Not only this the mentors provide personalised feedback which is subjective according to a candidate’s submissions to help them improve more and more.

This course on Big data and data science is being conducted by IMT Ghaziabad. It will grant you post graduate Executive certification. In a country like India which, according to a recently done study by the c platform and the Analytics Magazine India, has become the world’s 2nd largest hub in the job field of analytics, a degree in Data Science and Big Data can improve your career prospects. Learning the trends and best practices along with the new-age tools like PYTHON, HADOOP and SAS can give you that required push for better advancements in the field of data science. 

Analytics and data science are emerging fields where the job market has almost doubled just in a year from 2018 - 2019. This is sharply in contrast to what the increase in the percentage of analytics jobs was in the years 2015 - 2017. Almost a 76% increase was seen from the year 2018 making it one of the in-demand fields for professionals. A predictive number of 50000 jobs are said to have been available for suitable candidates by some reports, however, a certain number cannot be ascertained. Huge top-tier companies such as Capgemini, IBM, Amazon, Goldman Sachs and many others have some of the highest numbers of job openings in the country.

The Diploma in Big Data, AWS and Hadoop certification course at the Boston Institute of Analytics is a meticulously crafted programme that offers a transformative learning experience. Aligned with industry trends, it equips participants with practical skills to analyse large datasets and make informed decisions, preparing them for real-world challenges.

Tailored to industry practices, the Big Data Analytics certification by BIA covers essential aspects of big data analytics, ensuring individuals gain expertise in handling data, understanding patterns, and making data-driven decisions. With a focus on practical skills, participants are well-prepared for the dynamic field of big data.

Also Read: Online Big Data Analytics Certification Courses

The Big Data, AWS and Hadoop certification course at the Boston Institute of Analytics is a meticulously crafted programme that offers a transformative learning experience. Aligned with industry trends, it equips participants with practical skills to analyse large datasets and make informed decisions, preparing them for real-world challenges.

Tailored to industry practices, the Big Data Analytics certification by BIA covers essential aspects of big data analytics, ensuring individuals gain expertise in handling data, understanding patterns, and making data-driven decisions. With a focus on practical skills, participants are well-prepared for the dynamic field of big data.

Also Read: Online Big Data Analytics Certification Courses

The pressing need for the requirement of a unified analytics engine for large-scale data processing cannot be underestimated in today’s era. Individuals passionate about building a career in a niche like Artificial Intelligence which involves dealing with a large amount of data find that machine learning is essential for big data to function smoothly. This programme is a boon for such people.

This certification course on Machine Learning With Pyspark For Big Data by Jigsaw Academy caters a special focus on Spark MLib by adopting Python or Scala language. Understanding that Spark or PySpark could be an essential asset for those willing to broaden their knowledge horizons in the field of Big Data, experts at Jigsaw Academy have endeavoured to include all the instrumentalities in Machine Learning With PySpark For Big Data.

Since the course is self-paced and in online mode, candidates can easily access the modules at the comfort spaces of their homes. This would also ensure that they get an in-depth insight into each concept without rushing with the same. The aspect which makes the course stand out is the extra reading sources it provides so that the learning does not stop.

The career and scope in technology and data engineering has widened. Not only in technology but big data engineering (BDE) also plays a unique role in the field of business as well. With the emerging importance of data technologies in the world, it is necessary for the engineers and technologists to gain appropriate and enough knowledge for the same and to have access to such knowledge and information you need an appropriate course for the same. 

Hence, certified by Jigsaw Academy, Big Data Engineering programme is one such course that is developed in a way that enhances and improves the data skills of the candidates. The course is conceptualized in a way that it lays emphasis on how to automate data pipelines, handle enormous data, build databases and models. At Jigsaw Academy, participants will be able to master different tools and technologies included in the Big Data Engineering programme. 

The person who loves programming and is cognizant of Java, SQL, and scripting languages should consider the course of Certificate Program in Big Data on Cloud (Developer). The course provided by TCS iON shall enhance the skills as a developer and also introduce learners to advanced knowledge in the same field. The course prepares learners for TCS iON Procert- big data development. In addition to this learners can make their way to the big industries like TCS and many more. 

Certificate Program in Big Data on Cloud (Developer) training is of 12 weeks duration. The course will develop skills in Kafka, spark python, java, and many more computer languages. Working professionals in the IT industry or big data development industry can take advantage of the course for boosting their skills and step up the ladder in their careers. The one-time fee for the course is Rs. 18000 which should be paid by the candidate at the time of registration. After completing the course and the related assessments the candidate will receive Certificate Program in Big Data on Cloud (Developer) certification by TCS iON and 361° minds. 

Also read, 

Big Data Modeling and Management system certification course

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.

Data Analytics Certification Course is a highly relevant training program that explores a wide range of topics under the broad spectrum of data analytics. The course has been designed for the online platform, and you can avail free trial. Every week you will be presented with modules with a higher level of difficulty that will train you with practical and theoretical knowledge.

One of the essential aspects of the Data Analytics Certification program is that it is a globally accredited certification and live educator support to all students. The course curriculum has been carefully curated to bring international focus and a high level of understanding. You will also get the benefit of regular evaluation and assessments through exams and tests. 

The Data Analytics Certification Course is offered by Upskillist to help you gain a solid understanding of the field and build a foundation in statistics. It offers flexibility by allowing you to choose your class schedule and pause your course at any given time.

The Big Data Analytics For Smart Grid certification course is an 8-week course that uses the concepts of Python programming language is an open-source software to demonstrate the use of Big Data Analytics in smart grid systems. The data in today’s world is influenced by the fast developments taking place in cloud computing and digital technology involving human activity, communications, sensors and digital equipment. 

The Big Data Analytics For Smart Grid training will involve case studies and begins with the introduction and importance of such analysis with data collection through intelligent devices, machine learning, deep learning, and its associated algorithms. 

The coursework is intended for both academic based attendees such as students, faculty and industry professionals. This course is supported and framed in collaboration with industries such as IBM and Opal-RT. This Big Data Analytics For Smart Grid programme aims to explore the issues arising in the processing and analysis of large volumes of data which is challenging to be done in a structured way. 

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 

Data analysis is important for research and making further policies for the development of the organization. Extracting, analyzing, and processing data from complex data set can become an easy task through Big data technologies. The challenging task of analyzing structured, semi-structured, and unstructured data can become manageable through the course by TCS iON. The certificate program in Big Data Technologies is a self-paced course available for IT professionals or data analysts on the TCS iON portal. This is the online course of two months jointly organized by TCS iON and 361° minds. 

Certificate Program in Big Data Technologies training shall guide the learners for working and analyzing the complex data using the software. The course needs the commitment of 8-9 hours per week in the duration of 8 weeks to complete the course on time. The certification course is designed in a way that it shall provide the knowledge from basic to advanced level to the learners about analyzing complex data sets. The  Certificate Program in Big Data Technologies certification syllabus consists of modules and assessments preparing learners for the TCS iON Procert assessment. The assessment shall open the gates for multiple opportunities as a data analyst. After the completion of the course, the learner shall receive Certificate Program in Big Data Technologies certification by TCS and 361° minds.  

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.

Jigsaw Academy’s Big Data Bootcamp programme is an immersive programme that is conducted both Weekday and Weekend. With end to end career support, in-person interactions and real-life project experiences, candidates will gain an in-depth understanding of the subject as a whole. An ideal opportunity for data scientists, it is the right time to enrol for this programme and learn about advanced technologies.

Since the subject covers a vast pool of information and cannot be completed in very less time, Jigsaw introduced this programme in a 12 week Bootcamp module. The module will help data scientists in strengthening the expertise and skills needed to master the area. Candidates willing to pursue this programme can easily do so by choosing either Weekday or Weekend schedule. The curriculum has been designed to impart valuable learning skills to the students. The course will help students to foster their technical skills and explore new verticals in the professional world. 

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.

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.