List of Online Courses and Certifications

According to a Deloitte report, 34% of commercial real estate firms in North America want to expand their expenditure in data analytics in the coming year. Real estate investors and professionals can now conduct more accurate property appraisals than it has ever been, just because of data analytics and machine learning. The Data Science in Real Estate online course is designed to help students develop data science abilities in the constructed environment's context.

According to a PwC report, 55% of commercial property CEOs think that leveraging data to improve customer satisfaction and generate a competitive edge is a top priority. Throughout the Data Science in Real Estate training, renowned MIT academics and industry professionals teach how to use statistical approaches to uncover crucial insight into factors that influence development prospects and real estate investment.

The Data Science in Real Estate syllabus teaches students how to assess and organize data, extend data sets, and build a variety of models that could be used to evaluate industry patterns and anticipate real estate values.

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.

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. 

The Introduction to Machine Learning certification course is offered by Duke University. It will help you know your strengths and apply your skills in the most efficient manner to get work done. It will give you additional knowledge that will make you more confident in your work and perform better at your workplace or start your own business. 

The course will give you a brief overview of machine learning models like natural language processing, logistic regression, convolution neural networks, and multilayer perceptrons, while also explaining how these models can be put to use for solving technical problems in various industries like medical, image recognition, and text prediction. 

It is a combination of practical as well as theoretical knowledge about Machine learning, that will provide you with a framework for understanding how you can implement data science models and machine learning algorithms. The  Introduction to Machine Learning Training Course will allow you to work on a real-world hands-on project that is required in the fast-developing technological world. 

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.

Bayesian Statistics will help the participant to understand the necessary bayesian concepts from a practical point of view for better decision making. The participants will learn how the Bayesian approach is used to estimate likely event outcomes or probabilities using datasets. This Bayesian Statistics course is being offered by IIM Bangalore. This Bayesian Statistics course is delivered through their digital learning platform IIMBx.

The duration of this Bayesian Statistics course is six weeks. The participants will learn the foundations of bayesian concepts, contrasting them with classical statistics. The curriculum is being bifurcated into theoretical and empirical segments. Once the participants have completed the Bayesian Statistics course they will have a comprehensive understanding of the Bayesian approach.

Businesses will have to make significant investments in new resources to better satisfy the expectations for privacy protection as people become more aware of how their personal data is used. Contingency planning is the best solution for businesses that want to stay on top of regulatory requirements. The Privacy Law and Data Protection online course provide an in-depth overview of privacy regulations in the United States.

According to the Pew research centre survey, 81%, or almost four out of every five Americans, feel that the hazards of data collecting outweigh the advantages. The six-week Privacy Law and Data Protection training helps applicants research cybersecurity and privacy regulations in order to better safeguard data, minimize risks, and stay compliant.

Students will get a full grasp of the regulations connected with each other by investigating the variations between public and private data. Students will also look into medical privacy rules, such as the Accountability Act (HIPAA) and Health Insurance Portability, to see how they affect company privacy standards. The Privacy Law and Data Protection syllabus provide an overview of the data protection law road map that any business may utilize to assist develop effective privacy policies.

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

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.

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. 

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.

Candidates will learn about the implementation of abstract data structures using C++ (object-oriented programming language) and map abstract data types to the Standard Template Library (STL) of C++. The programme conducted in a self-paced mode introduces candidates with types of data structures, their applications, running times, and many more. 

Implementation of Data Structures Certification Course is a 6-week programme that will teach students about writing correct and efficient data structures manipulation using C++. The programme is efficient to teach candidates about various data structure concepts like lists, vectors, deques, programming techniques like tree exploration, sorting using stacks and queues, and many more. Candidates who are having an interest in learning how data structures allow efficient interfaces to certain forms of data access then this programme is for them. 

Certification Course on Algorithms is a course crafted and taught by national award winner experts at IIT Bombay. The use of algorithms as a problem-solving tactic is a significant technical aspect which is important for candidates in the related domain. By pursuing this course, course takers will learn extensively about the structure and use of algorithms to confront real-life problems and explore limitless possibilities in the sector.

As a course separate from the regular classroom teaching, it does not miss out on covering relevant aspects including string, numerical, and geometric algorithms like matrix operations, polynomial multiplication, GCD, subsequences, pattern matching, sweep, and convex hull. Learners will also get insights on graph algorithms like spanning tree and shortest path. The course is primarily based on computer science which will create a drive among learners to think about algorithms and using sorting techniques like merge sort and quicksort.

The course encourages one-to-one participation as the faculty would primarily engage with discussing a problem, creating brainstorming sessions and initiating a discussion among the peers. The faculty also possesses vast practical and research experience in the field of algorithms and data structures for providing students with the best training.

The Introduction to Non Linear Dynamics certification course introduces students to the complexities of dynamic systems through analytical methods and real-world examples. It offers a practical understanding of phenomena in physics, biology, chemistry, and engineering, covering topics like bifurcations, phase plane analysis, and limit cycles.

Students will explore the behavior of one-dimensional and two-dimensional flows, learning about stability analysis, classification of linear systems, and the dynamics of oscillators. The Introduction to Non Linear Dynamics certification by NPTEL equips students with analytical skills and problem-solving abilities crucial for navigating nonlinear phenomena in diverse scientific contexts.

The Understanding Data in the Tourism Industry course by FutureLearn is a five weeks course. The course is instructed in the English language, and the sessions are held online. This allows you to study according to your schedule. Edinburgh Napier University has developed the programme with the support of Scottish Enterprise. 

The DataLab has funded the Understanding Data in the Tourism Industry programme. You will have to study at least three hours every week for this certification. Furthermore, you can apply what you will learn to your enterprise and further your business. This course is a part of the Study UK Campaign. Besides, the course instructors boast relevant industry experience.

This Understanding Data in the Tourism Industry online course by FutureLearn course is focussed on medium and small enterprises that are involved in the tourism sector. The programme is designed to teach these SMEs how data impacts their business and the way data can be analysed and used to nurture their business. It also teaches you business productivity through data and tools to do all of this.

AI Fundamentals for Non-Data Scientists is an online certification course that helps non-data scientists to get familiar with the fundamental concepts of artificial intelligence. The course can be taken by anyone interested in exploring artificial intelligence and can be easily finished within about 9 hours. AI Fundamentals for Non-Data Scientists Certification Syllabus provide the learners with a sheer glance into the basics of machine learning and artificial intelligence. 

The AI Fundamentals for Non-Data Scientists Certification Course, administered by Coursera, will also provide the learners with a shareable certification at the end of the online course. During the online programme, the learners will also have the opportunity to watch and understand the exclusive interview with industry leaders of reputed companies. AI Fundamentals for Non-Data Scientists Certification by Coursera, offered by the University of Pennsylvania, is the first course in the four programmes of AI For Business Specialization. 

Essential Tools For The Low Carbon Economy course by edX guarantees that course takers will become familiar with each and everything about the low carbon economy. It will assist them with several professional concepts such as various climate change policy responses, comparing projects based on emissions reduction, comparing projects based on cost, analyzing your company’s carbon footprint, participating in emission trading schemes, and so on.

Edx made this course in a joint effort with the University of Queensland which is one of the best research and teaching institutions in Australia with the end goal that competitors will have an expert class learning experience. The Essential Tools For The Low Carbon Economy certification course is planned by experts so course takers will handily comprehend and become accustomed to the low carbon organization and foundation. 

Essential Tools For The Low Carbon Economy course accompanies adaptable choices of Self-paced preparation, Online exams, Graded assignments, Projects, and Discussion forums with the end goal that competitors can pick their favoured way of learning. It is likewise lined up with the most recent 2020 version which ensures that everything is forward-thinking. This program makes the best speculation for individuals who need to make a fruitful career in the industry.

The course provides two varied environment options for the learners; verified and free audit. In the free audit track, the learners can access the programme only for a limited period of time. 

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

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

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

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

With an overload of choices and information in the digital age, customers often struggle to discover the service or product that best suits their needs. However, advancements in analytics, Data and computational make it easier for them by suggesting a suitable product. The Predictive Analytics in Commerce online course offers in-depth insights into predictive analytics and its utilization in Commerce.

The Predictive Analytics in Commerce course by Iversity will acquaint you with using data effectively to deliver the precise type of services, offers, and products to the most rewarding customers. You will also learn how to recognize exact situations where predictive modeling can provide value.

Predictive analytics can help in better allotment of marketing budgets, meeting customer needs, and enhancing the financial performance of the organization. The Predictive Analytics in Commerce training will make you adept at implementing predictive analytics methods to increase your team and company performance and elevate customer satisfaction.

The Deep Learning in Computer Vision online course by Coursera is focused on introducing learners to computer vision, right from the basics. Eventually, the certification course moves to deep learning models which are more modern. Image, as well as video recognition, is a primary part of the programme. The comprehensive curriculum will cover image annotation and classification, motion estimation, human action recognition, and more.

Moreover, Deep Learning in Computer Vision programme is the fifth course in the Advanced Machine Learning Specialization. The National Research University Higher School of Economics offers an online course in association with Coursera. The Deep Learning in Computer Vision certification course is an advanced-level course with a self-paced learning option. You will also work on a final project to implement their learnings. 

In the course project for the Deep Learning in Computer Vision course, you will learn to build face recognition and manipulation systems. This project will help you get an idea about the internal mechanics of this technology. The online course also includes a shareable certificate which you will receive from Coursera upon successful completion. 

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.

“Everyday Excel, Part 2” is the second part of the famous “Everyday Excel” training programme. Intensifying on the theories studied in the first course the learners will carry on expanding their knowledge in the uses of Excel. Although this training program is intended for intermediate users, advanced users too will benefit from it, in learning new tools and skills in Excel. After finishing this course, the candidates will possess enough skills to take up part 3 of the series Everyday Excel, which is project-based.

This specialisation series, which is divided into three parts aims to teach the candidates basic as well as advanced tools in Excel.  This curriculum is intended to be intriguing and enjoyable. It aims to encompass a wide range of learners so that a variety of experiences and abilities come together to teach something new to everyone.

A distinctive characteristic of this course is the compulsion to complete weekly assignments in the application itself, i.e. in Excel, which will push students into hands-on learning.

The Analyzing Data with Excel certification course is a self-paced 5 weeks online programme that is designed and offered by IBM on the platform of edX. By just focusing on 3-5 hours every week at their own speed, the learners can finish learning. Though the course is initially free, a nominal fee is required in case students wish to upgrade, get unlimited material access, and receive certificates along with verified badges. This is an introductory course that gives applied knowledge, and hands-on practice of lab exercises.

Analyzing Data with Excel training will give knowledge in the in-demand topics required for business. The students will be able to build basic knowledge of different kinds of Excel spreadsheets for performing the fundamental data analysis. This online introductory programme with zero admission prerequisites actually in its syllabus covers the working features of Microsoft Excel that will assist students in analysing their data.

The candidates can select from among the 2 tracks, the audit track and the other, the verified track. If one wants limited but free access their pick can be the audit track and if someone needs unlimited course material access they can upgrade to the paid verified track.

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science. 

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

The course of inferring causal effects from the observational data offered by the platform of Coursera is free of cost course. The enrolled candidate can get a certificate for this course after paying a fixed amount according to the guidelines of the Coursera platform. The duration for this course is 5 weeks. This course is taught under the guidance of experts from the University of Pennsylvania. The E-certificate is available after the completion of this course.

The enrolled candidates will be provided with all the quizzes, assignments, video lectures, web links for books and references. As this course is free of cost and online, it is easily accessible for all the sections of society. Financial aid is also provided. The course of inferring causal effects from the observational data is highly recommended for all the students, teachers and researchers who are interested in this field. Financial aid is also available for all learners who cannot afford the fee. Total 33 percent of people started a new career after completing this course and 29 percent of them got career benefits after pursuing this course.