List of Online Courses and Certifications

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. 

This Data-driven Astronomy online course is designed and developed by the University of Sydney for the candidates to learn on the Coursera online education platform. This physical and astronomical course is expected to be completed by the students in twenty hours entirely. The intermediate-level course is a study about the scope of data science in the field of astronomy and the role of tools and techniques of machine learning that are used to understand the data. 

In the Data-driven Astronomy training course, the candidates are provided with the opportunity to know and comprehend the problems that may arise while handling large datasets, the strategies to use algorithms, and the ways to use the different programming languages and software tools to decipher the data. 

The course instructors for this online certification course are associate professor Tara Murphy and Simon Murphy, a postdoctoral researcher at the school of physics at the University of Sydney. 

The Financial Analytics: Forecasting, Modeling, and Optimization Training Course is a 6-week long course that discusses fundamental aspects of data analytics and its applications in the financial sector. The course will explore the role of financial management strategies in the modern industrial world.

Through the Financial Analytics: Forecasting, Modeling, and Optimization Certification Course, learners will be introduced to the core principles of data analytics and data-driven decision-making skills. The online course will be covered in 6 modules taught by experts at The Wharton School.

After successful completion of the Financial Analytics: Forecasting, Modeling, and Optimization Online Course, learners will receive a digital certificate of completion from the Wharton School. 

The Data Science with Python Certification programme enables candidates to become skilled data scientists. Hence, the curriculum will teach you all the necessary concepts of Time series, statistics, and ML algorithms such as the unsupervised, supervised, and reinforcement. You will also gain fluency in other ML algorithms like clustering, regression, Random Forest, Decision Trees, Q-Learning, and Naïve Bayes. Moreover, you will experience the industry-relevant practices by solving real-time case studies on aviation, HR, social media, and healthcare.

Edureka’s Data Science with Python Certification Course offers a feature-rich curriculum. You will attend instructor-led live classes, work on frequent assignments, have a lifetime LMS access, and engage in peer interaction via the community forum. Besides, you will also receive lifetime access to the 24x7 support team to resolve technical queries.

Moreover, the online Data Science with Python Certification Course will award you with a prestigious certificate, post-completion. You will also receive a ‘resume-building tool’ to create a professional CV and ace recruitment for top-tier companies like Dell, Honeywell, Cisco, VMware, etc.

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 Python with Data Science and Machine Learning certification course will help you master the core concepts of Python's programming language. It will deep dive into how Python can work on various data structures. The course will also teach the candidates how to use data to plot graphs.

The Python with Data Science and Machine Learning certification programme also gives an insight into one of the modern concepts of the digital revolution, Machine Learning. The course will cover the theoretical framework of various machine learning models and how to apply them efficiently and help to learn the core concepts in practice. 

Besides, the Python with Data Science and Machine Learning online programme by NIELIT Chandigarh is perfect to learn about the upcoming industrial trends in Data Science and Machine Learning, which will equip you with the knowledge to get better career opportunities. The course is taught by an experienced faculty and will be an immersive learning experience. 

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 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 Ethics in AI and Data Science certification course provides an amazing opportunity for all the candidates who want to learn about the fundamentals of AI, data and business ethics. The Ethics in AI and Data Science certification course equips the candidates with the skills needed to develop and combine ethical principles and frameworks within Data Science and Artificial Intelligence to ensure transparency in their business initiatives.

Candidates who want to successfully learn techniques from this course should spend 1-2 hours per week. The course curriculum offered here is a self-paced level programme. The Ethics in AI and Data Science certification by edX will teach the candidates introductory level knowledge in Artificial Intelligence and Data Science. Course certification is provided with the edX platform with the logo of the Linux Foundation institution. Verified certification is provided after completion of this programme and paying the fees to the platform authority. Students will learn about all the necessary and required information which is needed to excel in their candidates.

The candidates can pursue the programme in two different enrolment modes; verified and audit tracks. In the free audit mode, the learners can access the course only for a limited period of time. 

A Business Wire report states that 99% of Fortune 1000 firms are investing in data efforts. Big data has revolutionized and continues to revolutionize the global corporate landscape, analysts and data scientists are emerging as valuable assets inside enterprises. The Data Science Essentials online course is designed to teach students the principles of data science as well as the needs of big data analytics.

According to a Research and Markets report, The worldwide worth of the big data analytics industry is expected to be $105 billion by 2027. Working professionals and managers must now grasp the ideas and benefits of data science and utilize it to influence company choices as well as retain and recruit the appropriate personnel to drive transformation. The Data Science Essentials Training teaches the fundamentals of data science for enterprise, helping applicants to identify the value of its technology and use it to achieve success.

The Data Science Essentials syllabus supplements decision-making skills by emphasizing non-technical abilities such as data science project management and execution. This course, led by I School specialists, prepares business executives to grasp the function of data science, its potential relevance for the development of the firm, and how it may be applied in business processes.

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. 

Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment. 

The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation. 

Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.

In the Introduction to Data Science online course, the students will be getting to learn about the importance and applications of data science and the use of algorithms in it. The course has been designed for six weeks. The online programme on Introduction to Data Science training by edX will be digitally hosted and covered by IBM. 

Imparted by data scientists, this programme will require 3 to 6 hours per week of study. This Introduction to Data Science classes program covers a span of topics that will enable candidates to learn about data science, tools, algorithms and other elements utilised in a business scenario. The programme is pursued online wherein the candidates can enrol as per their convenient schedule. 

Since the programme is taught by data practitioners, candidates will gain the opportunity to learn the importance of data science in present times and in times to come. A most sought-after programme, candidates can also take up other associated programmes such as Data Science Foundations, IBM Data Science and Essential Technologies for Business. Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

The Deep Learning on Azure with Python: Reinforcement Learning programme is aimed at introducing you to reinforcement learning (RL). You will use Python in Microsoft Azure to explore its relevant formal notation and various RL techniques. During this course, you will understand how RL uses Artificial Intelligence (AI) to solve complicated problems that involve numerous decisions.

During the Deep Learning on Azure with Python: Reinforcement Learning certification course, you will also discover how RL is implemented in neural networks to create more refined algorithms. Furthermore, you will study common relational algorithms like temporal difference learning and dynamic programming algorithms. The curriculum will also cover Bandits, Policy Gradient, Approximate Solution Methods, and Actor-Critic RL that Works.

The Deep Learning on Azure with Python: Reinforcement Learning training will make you skilled to implement the RL methods in Microsoft’s Azure Cognitive Services. This six-week-long online course is curated by CloudSwyft Global Systems. You also have the option to receive a course completion certificate at the end of this programme.

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 Python and Math for Data Science online programme by Metis are developed to serve as a foundation to develop your Data Science skills. This part-time course has 36 hours of learning content. You will attend two live virtual classes every week over six weeks.

During the Beginner Python and Math for Data Science certification course, you will explore the foundations of Python programming, linear algebra, probability, statistics, and calculus. Moreover, you will learn about the most common Python libraries such as Matplotlib, Pandas, and NumPy.

Metis’ Python and Math for Data Science online course will also introduce you to advanced Python concepts. These include functions, string manipulations, debugging, and error handling. This part-time programme will help you become skilled to write efficient code.

The Python and Math for Data Science training comprise detailed material on linear algebra, including vectors, linear equations, matrices, eigenvalues, etc. You will study stats topics like ANOVA, p-value, hypothesis testing and more.

The Introduction to Data Science certification course aims to teach you about the core Data Science technologies and concepts. During this six-week-long programme, you will learn about basic syntax, programme control flow and data types/structures in Python. You will also study the fundamentals of Statistics and linear algebra along with their uses in Python.

The Introduction to Data Science online programme by Metis comprises 36 hours of live online classes. Thus, you will learn from an expert instructor in real-time while interacting with them or your classmates simultaneously. You will also explore data acquisition, model creation, feature engineering, data aggregation and more.

Metis’ Introduction to Data Science online training also provides you with the knowledge of supervised learning approaches. Therefore, you will get familiar with topics like the random forest, decision trees, vector machines, etc. You will work on a mini Data Science project during the course. Moreover, you also get a certificate of completion.

The ‘Text Analytics 1: Introduction to Natural Language Processing’ online course is an overview of the strategies involved in Natural Language Processing(NLP) and the various aspects of computational linguistics. This course enables students to get hands-on experience with NLP and the process of performing analysis in Python with regard to the creation of pipelines.

Edx provides this course in association with the University of Canterbury(UC) for a period of six weeks and the students are required to spend at least three to six hours per week to complete the course successfully. This computer science course is self-paced and the learners in this program are led by the instructors from UC, Jonathan Dunn(Lecturer), Tom Coupe(Associate Professor), Jeanette King(Professor), and Girish Prayag(Professor).

In the ‘Text Analytics 1: Introduction to Natural Language Processing’ online training program, students will engage themselves with concepts of text processing, text mining, sentiment analysis, and topic modelling. The participants will receive a certificate after finishing the course of study and the graded assessments. The self-paced programme can be taken free of cost and has a limited duration. They can also upgrade it to the verified mode by paying for the course and getting unlimited access to the course materials. 

The ‘Text Analytics 2: Visualizing Natural Language Processing’ online course is developed for the students to gain knowledge and expertise with the visualization and interpretation of outputs in text analytics along with the scientific overview of understanding language computations.

This computer science course is provided by the Edx educational platform in collaboration with the University of Canterbury for the classes and modules. This online program is scheduled for a period of approximately six weeks and the candidates are expected to spend a minimum of three to six hours per week to finish the course modules.

The ‘Text Analytics 2: Visualizing Natural Language Processing’ is a self-paced learning program and the students can study independently with the curriculum instructed by faculty from the University of Canterbury such as Jonathan Dunn (Lecturer), Jeanette King (Professor), Tom Coupe (Associate Professor), and Girish Prayag (Professor). The participants will receive a certificate that can be shared online for the benefit of career advancement if they choose the verified mode by paying the course fee. They can also join the self-paced programme free of cost and get limited access to the programme. 

Materials Data Sciences and Informatics is an intermediate-level course ventured jointly by the Georgia Institute of Technology and Coursera. The system is a flexible one that allows the learners to pursue it in the online mode at their own pace and time. Materials Data Sciences and Informatics Certification Course, offered by Coursera, can be taken by non-English speaking learners too as the subtitles are provided in the languages of, Portuguese (European), Spanish, French, and Russian. 

Materials Data Sciences and Informatics Certification by Coursera is all about the nascent discipline of Materials Informatics that is part of computational, material, and information science. The learners can complete the certification programme within the minimum duration of 9 hours. They can make a deep understanding of data science, informatics, data science in materials science, biomedical informatics and data science, statistics, and the like. 

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

The Practical Reinforcement Learning programme by Coursera is the fourth out of the seven courses included in the ‘Advanced Machine Learning Specialization’. Offered by the National Research University- Higher School of Economics, this online programme will make you an expert in the field of machine learning.

Reinforcement Learning is one of the fundamentals of machine learning. Without getting a good grasp of this particular area, one cannot master the art of artificial intelligence. With the certification course in Practical Reinforcement Learning by Coursera, you can get in-depth knowledge about Reinforcement Learning and hone the various skills required to master this area of machine learning.

The Practical Reinforcement Learning online course by Coursera is well equipped with a planned curriculum as well as offerings like graded quizzes and assignments, peer feedbacks, practice quizzes, etc. that will help you to become proficient in this field. You will earn a shareable certificate upon completion as well.

The Practical Reinforcement Learning online programme by Coursera is a full package that covers all the core concepts of Reinforcement Learning, including free methods, dynamic programming, value-based methods, neural networks, algorithm-writing, model-free methods, and more.

This online programme delves into the dynamic intersection of data science and cybersecurity. This six-week Enterprise Cybersecurity online course empowers cybersecurity and data science professionals with cutting-edge strategies to fortify enterprise-level security. The Enterprise Cybersecurity certification by Emeritus explores the vital role of data science in boosting cybersecurity resilience, equipping participants with the insights to identify, analyse, and combat emerging threats.

Participants of the Enterprise Cybersecurity certification course gain a profound understanding of data science's impact on risk management, unleashing its potential to create quality data inputs and effective key performance indicators. Led by seasoned industry experts, the programme covers an array of essential topics, including machine learning algorithms for real-time threat detection, continuous behavioural authentication, and the development of innovative practices to attract and retain skilled cybersecurity personnel. 

This story-driven course of Data Ethics, AI, and Responsible Innovation by edX will be taught to the candidates by the experts leading in the field of data science, science and technology studies, innovation, and responsible research with the help of various case studies. The candidates will be taught to look at the original controversies in the world and challenges related to ethical issues possessed by large data. The candidates will be able to understand the complexities and realities by making an ethical decision with a competing interest.

The candidates will interact with predictive policing, and human autonomy and will get to know about the emerging new approaches in the industry to develop their understanding related to all of the concepts (Artificial Intelligence). The candidates will get experienced instructors like Ewa Ludger, Burkhard Schafer, and Morgan Currie from the University of Edinburgh.

The duration of the Data Ethics, AI, and Responsible Innovation certification by Edx is 5 weeks and 3-4 hours of weekly effort needed by the candidate. The video transcript of the Data Ethics, AI, and Responsible Innovation certification course will be in English and the level of teaching will be intermediate. One can find two tracks - audit and verified track which if enrolled into will offer course access. The audit track offers free limited access to the course only for a specific period. On the other hand, the candidates will get verified track access for a lifetime by only paying some amount of money.

The Doing more with Google Sheets programme is an online course offered through the platform Coursera. The programme is designed for beginner level students. The major focus of the course is to deliver information regarding google sheets, their features, and other characteristics related to the subject matter. Participants can enrol on the course for free without making any payment.

The course material need not be purchased and video sessions can be accessed at absolutely no cost along with all the modules. The study material of the Doing more with Google Sheets certification includes teachings using different methods such as discussion platforms, notes, video sessions, etc. and experts ensure that the sessions are interactive so that students can understand the topics properly. 

The Doing more with Google Sheets online course is available in the self-paced mode and students are expected to set the study schedules according to their comfort. The ideal time fixed by the provider of the course for the completion of the training is five weeks. Every topic can be covered in one hour and the whole syllabus only needs five hours to get completed. Students do not have to learn according to any deadlines in the programme. Candidates may be able to obtain the certification for the Getting Started with Google Sheets certification course at the end of the course if they follow the guidelines. 

The Fundamentals of TinyML Training Course is an open course provided on the HarvardX platform coordinated by edX and Harvard University. The course will introduce students to the fundamentals of embedded systems and machine learning along with the core aspects of TinyML language.

The Fundamentals of TinyML Certification Syllabus will benefit students who are interested in data analysis and statistics. The course is an introductory level course that requires students to have knowledge about basic scripting techniques in Python. The course is supported by online study materials and instructed by Vijay Janapa Reddi and Laurence Moroney.

The Fundamentals of TinyML Course is taught over 5 weeks in a self-paced manner. The course focuses on the main aspects of deep learning, machine learning, and embedded devices and systems, like smartphones and other devices. Upon the successful completion of the online exams and assignments, students will receive a certificate if they choose the verified mode with the course fee. In the free mode, they can audit it for a limited period. 

The Deploying TinyML Certification Course is an open online course that introduces students to the steps involved in implementing TinyML applications. The course will help students understand the workings of the software along with the right codes required to deploy their tiny microcontroller-based device. It is a specialized course and a mix of computer science and electrical engineering.

The Deploying TinyML Training Course is an intermediate-level course that requires learners to have basic knowledge of the Applications of TinyML and Basic Programming in C/C++. The course taught in a self-paced manner will be beneficial for students who wish to earn a professional certificate in Tiny Machine Learning.

The Deploying TinyML Online Course is taught over 5 weeks with the aid of online course materials. The course is instructed by Vijay Janapa Reddi, Professor at Harvard University and Pete Warden, Technical Lead at Google. After the completion of the online assessment process, students will get access to a certificate in the paid verified mode. In the free audit mode, they can get a limited duration of access to the self-paced course. 

The Managing Big Data With R and Hadoop training is a five-week training programme offered by the FutureLearn portal in association with the Partnership for Advanced Computing in Europe (PRACE). In this course, candidates will learn about statistical learning, the use of Linux with Hadoop, and how to manage data using different tools and techniques such as R, Hadoop, and R Studio. Also, learners will learn to use the big data Hadoop tool to manage and analyse big data for the organisation or client.  

Managing Big Data With R and Hadoop online course will be taught by Janez Povh, Biljsna Mileva Boshkoska, and Leon Kos using the English language as a medium of teaching. This course is designed for people who are interested in learning about data science, computational statistics, and machine learning. To apply for this course, students will have to visit the official website of the provider and register for the Managing Big Data With R and Hadoop online course. As for the complete information about this course, please go through the article given below.

A 5-weeks online programme, the Hurricane Tracking with Satellite Data course is developed to impart students with comprehensive knowledge about how they can analyse satellite data related to hurricanes and predict hurricanes’ paths to minimise the damage caused by them. 

Satellite-enabled data allows us to monitor, track and observe hurricanes from a secure distance. You will be gaining insights on how these datasets can be explored to derive descriptive stats. With the help of Hurricane Tracking with Satellite Data online programme, you will understand the important ideas of data science imperative to analyse, process, and finally interpret the large sets of data. 

Utilizing the tracking data made possible by satellites, you will see how predicting the paths of hurricanes is crucial in administrating, evacuations, and relief efforts to save countless lives that are endangered by these natural disasters.

The Hurricane Tracking with Satellite Data course by FutureLearn uses practical case studies and tutorials for enabling you to extract vital information from the satellite datasets.

Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by the National Institute of Electronics and Information Technology is a foundational course aimed at imbuing within students various Deep Learning skills and algorithm evaluation performances for multiple applications. It touches on machine learning, natural language processing (NLP), and programming languages that guarantee a career in AI.

The course is spread across five weeks and filled with several theory and practical learning modules. Moreover, the Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by NIELIT also covers Cloud Computing, Internet of things (IoT) and Data Analytics. It includes case studies and projects which are industry-relevant. A course completion certificate is also provided to candidates towards the end of the programme.

Mr Ripunjay Singh is the instructor of NIELIT’s Online Certification Course in Deep Learning using Tensorflow 2 and Keras programme. Candidates need to dedicate one hour on weekdays from 3 PM to 4 PM. Candidates are selected on a first-come, first-serve basis.