List of Online Courses and Certifications

The Mathematics for Machine Learning: Multivariate Calculus course provides a brief introduction to multivariate calculus which is necessary for constructing several popular techniques for machine learning. The aim of the course is to provide an intuitive understanding of calculus, as well as the language required to look up concepts when candidates get lost. Candidates can still come away with the courage to dive into some more oriented machine learning courses in the future without going into too much detail. 

The Mathematics for Machine Learning: Multivariate Calculus course is the second one of the 3 courses in mathematics for machine learning specialisation. The goal of this specialisation is to bridge the gap then bring candidates up to speed in the underlying mathematics, develop an intuitive understanding, and relate it to data science and machine learning. The specialisation is pointed at what linear algebra is and how it applies to data in the first course on Linear Algebra. It will then draw attention to what exactly are matrices and vectors and how one can operate them. 

The Introduction to TensorFlow certification course is thoroughly an online programme that is available for free for a specific period of time. The main focus of the programme is to make students aware of the Tensor flow. The training will revolve around the topics of datasets, designing and building of Tensorflow, and other features of the programme, etc. The course will take up to nineteen to twenty hours of learning.

The Introduction to TensorFlow online course is created for the students who want to learn from the course at their own pace so that they can take as much time as required to completely understand every topic. There are no last dates for the programme and it has no limitations with regards to attendance percentage or timings of attending the sessions.

The course provides an intermediate level of learning and requires no academic qualifications to get admitted into the course. Students also get an opportunity to become a certified user of the course and obtain a verified certificate when the Introduction to TensorFlow certification syllabus is completed by the participant. The language of the programme is set for English, however, participants who have a language barrier can use the subtitles that are available in Russian, Spanish, Portuguese (European), English, and French languages.

Machine Learning in Business certification is basically a 6 weeks small course designed by  MIT Sloan School of Management and the MIT Computer Science and Artificial 

Intelligence Laboratory (CSAIL)along with its content partner being GetSmarter. With this programme, candidates can learn about how machine learning can be capitalized on by businesses.

The Machine Learning in Business certification syllabus is divided into 6 weeks which is taught online, and it will help in answering questions related to machine learning which is a branch of Artificial Intelligence. Basically here the programming of Computer Science will be used to improve data performance in businesses.

Machine Learning in Business training is an online executive programme that is guided by the MIT faculty to help the participants understand the foundational level capabilities of Machine Learning along with its advantages and limitations so that its’ potential can be unlocked within businesses. This certification course will give an opportunity for designing a roadmap towards the integration of business needs with machine learning successfully.

According to a Hackernoon report, 74% of decision-makers, corporate owners and IT executives believe machine learning has the ability to transform their work and sector. Companies that use machine learning to enhance organizational performance and improve the decision-making process have clear benefits over those that do not. The Machine Learning online course aims to provide candidates with the knowledge and skills needed to comprehend the effect of machine learning and effectively articulate its integration.

It has never been simpler for businesses of all sizes to leverage the value of data. Introduction open-source and free Artificial intelligence and machine learning technologies. Embedding machine learning technologies into an organisation effectively necessitates a practical grasp of its concepts. The Machine Learning training teaches about the various types of modelling concepts used in machine learning. The Machine Learning syllabus focuses on determining the models, methodologies, and ethical implications of machine learning techniques, as well as presenting an economic case for using them in the firm.

Used by over 90% of developers, Git is one of the most powerful and adaptable version control systems. In the Collaborative Coding with Git certification course the candidates will find ways to visualise and explore a project’s history via Git repositories. The candidates will enable them to quickly adapt to a new collaborative environment, especially if they are working with Git remotely.

The Collaborative Coding with Git certification by Futurelearn is in collaboration with the University of Manchester and the Institute of Coding. The course teaches you techniques such as maintaining high-quality code, code review to ensure safe code changes, maintaining consistent coding styles across large teams, etc. 

The Collaborative Coding with Git online course will teach students how to explore Git as a quality assurance tool, and learn how to use GIT to facilitate team learning, as well as enhance their workflows, collaboration, and code quality. The course is ideal for freshers/professionals interested in or working in software development.

Github is the provider of internet hosting for software developments. The cloud-based hosting service shall help the software developers to manage functions, and source code using Git. It was founded in 2008, and it is widely used by prominent organizations. Git on the other hand is a version control system, it lets the user manage and keep track of source code history. Many organizations have adopted the technology and are hiring professionals who have the skills of using and managing the technology. 

The Learn Git & GitHub course is provided by Internshala Training for the learners who wish to be a part of software development. This is a beginner-friendly, online course of 6 weeks duration and downloadable content. The learner can get their doubts resolved by experts and shall also get the project for practical training. After the completion of the course, the learners shall receive Learn Git & GitHub certification by Internshala. Besides this, the learner shall also get placement assistance and get their profile highlighted on Internshala. This can be the career-defining course for the learners who want to kick start their careers as software developers. 

The Azure Analysis Services online course is a short-term programme offered by IIT Kanpur. The course allows learners to understand the cloud's services and management techniques in the contemporary industry. With a skill-oriented approach, the training allows candidates to upskill.

The Azure Analysis Services training is completely online, and lets the candidate access and learn the course from any part of the world. The course is spread over six-weeks with a comprehensive curriculum covering every aspect of Azure services. The course extends multiple questions to the candidates for a sense of familiarity and hands-on practice of the subject.

IIT Kanpur's Azure Analysis Services online course takes the learners through various components of how the interaction takes place along with key terminology used in Azure services. The students get to work on an industry-based project that allows them to put their knowledge to practical use under the course. The students are rewarded with a certificate upon the successful completion of the course and passing the final exam.

The Introduction to Data Analytics for Managers course has been gaining popularity due to the heavy reliance on data by industries worldwide. Companies have been leveraging varied data sources such as big data to a large extent to maximize the company’s performance. The course curriculum also gives a run on the different facets of machine learning. 

The Introduction to Data Analytics for Managers certification program will carry a curriculum filled with various case studies. These will give hands-on learning about how different businesses use data analytics to their advantage. Through them, you will also understand the application of data analytics in a better way. 

The Introduction to Data Analytics for Managers online program by Edx is taught by two experienced faculties members, namely Amitabh Sinha and Sanjeev Kumar. The course is best for students who want to deep dive into the web-based graphical development environment. EdX presents this course in collaboration with the University of Michigan. There are two enrolment options for joining this programme, namely, paid and free. In the free option, the candidates can access the program only for a limited duration of time. 

The Applications of TinyML Online Course is an open online course that discusses the applications of TinyML language and its practical applications with regard to tiny or deeply embedded devices. The course is available on the HarvardX platform with the joint effort of edX and Harvard University.

The Applications of TinyML Training Course is taught over a period of 6 weeks with the help of online course materials and informative case studies. The practical-oriented course will provide students with valuable insights into one of the most accessible and fastest-growing areas of deep learning.

The Applications of TinyML Certification Syllabus is prepared in a way its beneficial for students trying to gain a professional certificate in machine learning. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University, and Laurence Moroney, Lead AI Advocate at Google. EdX gives two varied modes to take the self-paced course; verified and audit mode. The verified mode requires a course fee and the candidates will get unlimited access. In the audit mode, they can access it for a limited duration. 

The leading with data and analytics course is offered by Chicago Booth, the University of Chicago, School of Business in collaboration with Execonline in online mode. The course will help learners to develop critical and creative skills to frame a big data analytics project and make effective decisions that effectively give results without sacrificing speed and accuracy.

The training programme for leading with data and analytics course will be conducted entirely online, with English as a medium of teaching. The duration of the course will be six weeks. To finish the course modules, students will need to devote 5 hours per week. The course will be instructed by Sanjog Misra, Jean- Pierre Dube, Guenter J. Hitsch, and Devin G. Pope, the University of Chicago, School of Business. The course fee is $4,500 - $5,700 (USD). Get more details here.

The beginner-level Process Data from Dirty to Clean online course will help the students develop the skills required to be a data analyst. It is an online programme and thus does not limit the students with any time restriction. Students across the countries can apply for this course. The programme deals with the topics such as tools used in data analysis, cleaning and checking data using the spreadsheet and SQL. 

The Process Data from Dirty to Clean certification course also helps the students gain information regarding data verification. The course is provided in association with Google. The programme is free for all the participants if they learn from it in the audit mode. Since it is a beginner level programme, it does not require any specific academic eligibility, except the basic understanding of mathematics. 

The Process Data from Dirty to Clean certification programme can be completed in 25 hours. However, it can be pursued weekly according to the requirements of the student. At the end of the course, after the successful completion of all lessons and assignments, students get a chance to enjoy the benefits of professional certification.

The Building Modern Nodejs Applications on AWS program is offered by edX in association with Amazon Web Services (AWS) which is one of the most used cloud platforms across the globe. The AWS offers courses that can either be audited free or candidates can pay a small amount and gain a verified certificate for the same. The program is stretched across 6 weeks with students required to give approximately 1 to 4 hours per week to finish it with ease. 

The Building Modern Nodejs Applications on AWS online course will teach candidates how to build a contemporary, greenfield serverless backend on AWS. In order to be able to develop new applications on AWS, students must be well versed with it in the first place, which will be made possible through the Building Modern Nodejs Applications on AWS course. Candidates will learn how they can develop an API driven application with the help of Amazon API Gateway to create serverless API hosting, Amazon Cognito and AWS Lambda. Initially, they will study what a mock API will look like, before developing it. 

Building Modern Nodejs Applications on AWS training will provide an in-depth study of the pros and cons of the Amazon API Gateway which will enlighten the students on more of its functions than just hosting an API. The candidates can learn at their own pace but with limited access if they have selected the audit mode. If the candidates have selected the verified track, they will receive unlimited access to the course materials.

The Developing Scalable Apps in Python course is designed as an advanced-level course for the students. Candidates can take up the course virtually through the website of Udacity. The programme has rich learning content, which is taught by industry professionals. The course is offered to all the participants at zero cost, and there are no extra or hidden charges for anything in the Developing Scalable Apps in Python online course. 

The platform works on a self-paced learning method, and students are free to access the course 24x7 without any restrictions. There are no limitations regarding minimum attendance percentage, and the course has flexible deadlines. Candidates will be able to complete the Developing Scalable Apps in Python syllabus in approximately six weeks. Candidates will acquire the learnings from the course through interactive quiz sessions and various exercises. 

As the usage of android is increasing day by day, the demand for Android apps is touching the sky. By realizing this, the National Institute of Electronics and Information Technology, Haridwar (NIELIT) is bringing you the Certified Android Apps Developer which covers the entire architecture of the Android platform right from basics. Students will acquire a lot of knowledge regarding various skills and tools that are used to create professional Android apps.

It is an online learning program where students can learn from the comfort of their homes. The course duration is 4+2 weeks such that students will get to complete the course in 4 weeks and take up online quizzes and projects for the next 2 weeks. Based on their scores in online tests and attendance, NIELIT will provide an e-Certificate for students. 

Android Apps Developer course is a golden opportunity for students who want to excel in the field of Android Development. 

In this day and age, everyone carries a mobile phone in their pocket. These devices, especially those that run on Android, have the capability and versatility to provide for the users’ basic requirements such as browsing the web, banking, and shopping, among others. There is a dedicated application for each of these services. To learn how to develop these, join the Mobile Application Development using Android course and master the art of developing mobile applications.

The Mobile Application Development using Android course by NIELIT Chandigarh will help you acquire the knowledge and skills necessary to design, develop, and deploy applications for mobile devices that run on Google’s Android Operating System. You will learn about the Android Development Environment, User Interface Design, Layouts, Styles, Themes, Menus, Widgets, Notification Services, and every other aspect of a standard application for Android.

To complete the Mobile Application Development using the Android training programme, candidates need to study two hours a day, every day, for six weeks. Furthermore, completing this curriculum will help candidates establish a robust foundation in using the Java programming language to build a wide range of applications. 

Big data plays an important part in pervading all walks of life, but most firms have not transformed enough to deal with the challenges that come with it. You also get the opportunity to establish a big data strategy, modify your business model and organization

The Big data strategies to transform your business certification, would also support the professionals to promote their careers to another level, irrespective of their background or position.

Big data strategies to transform your business course at a stretch of 6 weeks covers important aspects of data strategies like challenges and opportunities of big data, innovation, etc. The faculties are from the renowned University of TUDelft, which is an added advantage to the candidates apart from the verified and shareable certificate they receive upon course completion. The candidates may access the course for free. The English transcripts available aid in a better understanding of the subject. 

Big data strategies to transform your business course is a great opportunity for everyone who is looking to transform their business and get it started with a bang! The self-paced course has two different enrolment options; verified and audit tracks. Those who go for the free audit track will have access to the course only for a limited period of time. 

Aspirants learn the three core concepts of Machine Learning- advanced algorithms, high-speed computation, and extracting quality data by taking up the Online Certification course in Data Science and Machine Learning. The National Institute of Electronics and Information Technology, Chennai, is providing the programme. It is aimed to develop the skills required for Machine Learning Technologies by using Python for data analysis, design visualisations, and problem-solving ML algorithms. 

The online Online Certification course in Data Science and Machine Learning classes is spread across six weeks. It will teach automation techniques for smoother transitions in everyday life across five learning modules. NIELIT’s Data Science and Machine Learning certification programme includes case studies and projects that are updated with industrial innovations. A certificate becomes available to the candidate on completion of the Online Certification course in Data Science and Machine Learning.

Mr Ripunjay Singh will be the instructor on the Data Science and Machine Learning programme by NIELIT. It requires candidates to dedicate one hour of learning on the weekdays from 5 PM to 6 PM. The Online Certification course in Data Science and Machine Learning programme is packed with mini assignments and projects with analytics, data science, python programming, statistical learning, and machine learning.

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.

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.

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. 

Swayam’s Predictive Analytics certification course is targeted at students and practitioners who wish to improve their knowledge in predictive analytics. Predictive Analytics is a popular competitive strategy across various business sectors, and it identifies high-performance companies. Its objective is to predict the probability of occurrence of future events which can lead to effective business management.

The Predictive Analytics training covers important topics such as regression models which can help the learners understand relationships among variables and how decisions are made by exploiting these relationships. Predictive analytics problems use various models such as logistic regression, decision trees, linear regression, and neural networks which are discussed in this course.  

Besides, the Predictive Analytics programme on the provider site of Swayam by the Indian Institute of Management, Bangalore, and NPTEL prepares candidates for careers in the field of data analytics. This course is a good fit if you are looking for the right competitive strategy for making companies successful. You can master predictive analytics tools and earn a certificate upon successful completion of this programme.

The availability of data allows corporate executives to make better judgments. The difficulty is that most business people do not have experience evaluating data from numerous sources. The Applied Business Analytics online course teaches to determine the algorithm to use and explores when to include human judgment in the decision-making process. The course teaches about some of the most practical uses for artificial intelligence.

Business analytics abilities are in great demand among companies and are required across a wide range of job roles. Indeed, from September 2016 to the current, job listings for this skill set have grown by 130%. From 2018 to 2028, the Bureau of Labor Statistics (BLS) forecasts 10.9% growth in business analytics capabilities, surpassing the national growth rate of 5.2% for all jobs. The Applied Business Analytics training helps candidates to grab the current and upcoming opportunities in the field.

Discover a practical methodology for using data to improve decision-making. The only prerequisites are basic arithmetic and statistics from high school. After completing the Applied Business Analytics syllabus, candidates will understand which analytics method is most suited to specific scenarios, as well as how to deal with massive data and utilize it for improved business outcomes.

The process as well as the manner in which businesses function have not only been unique from its origin but have continuously evolved throughout different conditions, varying situations and places. This makes studying how companies operate their businesses a must for applicants who want to join the sector as well as start-ups that want to gain a certain flare in the industry.

The course, Innovation and Information Technology Management, goes over the concepts of this industry in a perfect manner, delivering it to the candidates through an expert of the industry, who will be their instructor, and clears out doubts from the difficult topics as well. They learn to manage everything about the sector including theoretical and practical methods to deal with competition in the sector, with digital security, digital goods and such.

Through the course, the applicants will gain insights that will allow them to not just progress in their lines of work but face the challenges in the sectors head-on. 

The methods pertaining to communications and design solutions will be dealt with in the course. The Information and Communication Technology (ICT) Accessibility Training is structured for people across various domains and professionals namely- non-profit sector, government, corporate and private. Throughout the Information and Communication Technology (ICT) Accessibility programme, students will be evaluating and analyzing their content through- activities, rich videos and various discussion forums. In this training, the students will be framing documents with the aid of- multimedia utilisation and document creation. 

The Information and Communication Technology (ICT) Accessibility Online Course will consist of six modules and each of the modules will contain a number of video lessons. Students will be provided weekly assignment papers at the commencement of each module. The course focuses on maintaining an inclusive and diverse workforce. The students will learn to identify issues and propose solutions for creating and maintaining a healthy workforce. The curriculum consists of - ICT accessibility, assistive technology, multimedia and other topics related to ICT.