List of Online Courses and Certifications

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. 

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 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 Algorithm programme offered by Princeton University has two parts, Part I and Part II. The programme covers critical knowledge about ‘algorithms and data structures while emphasizing on scientific performance analysis and applications of Java implementations. Every serious programmer needs to know this. 

Algorithms, Part I includes elementary algorithms for data structures, sorting, and searching while Part II focuses on algorithms for graph- and string-processing. After the completion of the first part, candidates can enrol for the second part in Coursera.

The Algorithms, Part I programme is a 100 per cent free programme. Enrolment, access to content everything is provided for free. And also there will be no certification after completion of the programme. 

Candidates who are looking for a way to learn algorithms, Java programming, data structures should enrol for this programme. Irrespective of the field, candidates can enrol in the Algorithms, Part I programme if they use computers to solve problems which are large. 

Candidates who are programmers should also enrol for the Algorithms, Part I programme. By completing the programme they will be getting so many advantages in their career. The ones who have already finished the programme are now in better conditions.

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.

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.

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.

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 2-4 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee. 

This program on ‘Full Stack Applied AI Course’ is developed and designed by the data science institute for the candidates to transform into python professionals with AI and ML skills. The program is scheduled for four hundred hours and the candidates will be required to attend a total number of fifty classes in which they are allowed to explore the features of deep learning, machine learning, and data science within the scope of applied artificial intelligence to meet the business needs.

The learners will get hands-on experience with the software tools such as Python and other data science aspects. The ‘Full Stacked Applied AI online course’ curriculum is application-based and includes data extraction, wrangling statistical frameworks, supervised and unsupervised machine learning strategies that are required for various applications of AI. The assignments, case studies, projects, and evaluation helps the students upskill themselves with experimental industrial insights and gain a valuable certification.

With the increasing use of technology and machinery in our daily lives, people have started accepting and learning various methods and techniques. It has become essential to possess the skills and capabilities to beat the competition. Neural Network course certification online teaches various algorithms which enable pattern recognition.

The Neural Networks course by Jigsaw Academy online certification is a framework specially designed and conceptualized for candidates interested in learning advanced machine learning algorithms that can enable pattern recognition based on a large number of inputs. The Neural Networks course will provide a deep dive into the world of neural networks, make you understand the algorithms and techniques, and ultimately gives an insight into deep learning. 

Aptech Learning offers the Data Structures in C programme, and it is part of their short-term course offering. Data structures efficiently collect and organise data and enable the rendering of data elements for improved organisation and storage. The course curriculum covers important data structure concepts and skills that are employed in C.

Aptech Learning’s Data Structure in C course will allow the participating candidates to pursue a lucrative career as a C programmer. The course focuses on familiarising the candidates with basics such as algorithm analysis, queues, arrays, trees, graphs, and strings. Furthermore, the curriculum covers advanced concepts associated with data structures in C.

For the Aptech Learning Data Structures in C training, candidates can also avail of an instant student loan facility. It can be utilised to fund their Aptech learning experience. In addition, the course spans only one month, and thus, the learners can acquire industry-ready skills in a short duration. Sessions are usually scheduled for two hours each, thrice a week.

Storytelling using data has been an essential marketing tool in the corporate realm; this practice is beneficial for all types of businesses. Thus, the Storytelling using data course by Jigsaw Academy will help you perceive and present data more visually and narratively. The training course focuses on equipping you with the skills to analyse and visualize data with Excel and other tools.

The Storytelling using Data Programme will cover all the essential concepts associated with Storytelling using Data, including visualization with Excel Power BI, principles of storytelling, and visualization with Tableau. This course will particularly come in handy for someone who wants to expand their career in data science.

A one-month long online course, Storytelling using Data Training will give you the best skills in applying principles and techniques of data storytelling to Analytics. Additionally, the mobile app access and round the clock faculty and technical support will ensure that you have a seamless learning experience.

This Compilation Basics for Macroeconomic Statistics certification course is one of the most important courses that reviews all the basics like concepts, skills, and principles that are required during the compilation and dissemination of financial and macroeconomic statistics. The Compilation Basics for Macroeconomic Statistics program is created in a way to cover various topics pertaining to macroeconomic statistics and data handling like institutional units, residence, stocks, and flows, Data standard initiative of IMF, accounting rules, and the macroeconomic linkages among these statistics. 

The Compilation Basics for Macroeconomic Statistics certification course introduces one of the uses of statistics in financial data dissemination. This training is structured in a way to teaches the practical uses.  It encourages learners to take this Compilation Basics for Macroeconomic Statistics online and practice and learn for the course progress by not just watching the video. but constantly solving the assignments and exercises in the program duration.  The course can be taken by the students in the verified track by paying the fee and in the audit track without fee. In the free audit mode, the learners will have access to the programme for a limited period. 

In Non-Parametric Statistical Inference, as opposed to Parametric Statistical Inference, we do not know the underlying distribution. Parametric Inference also uses samples from the population to estimate the distribution parameters. However, the assumptions of Parametric Inference, such as normality, independence, and homoscedasticity may not always be accurate. 

In this case, non-parametric information is used. The Course in Non-Parametric Statistical Inference by Swayam will help the candidates to fill in the gaps of parametric statistics as non-parametric methods can be used for different inferencing purposes. The simple non-parametric techniques can help you to establish a hypothesis.  

The Non-Parametric Statistical Inference online programme has several practical applications in real life. This is an ongoing, undergraduate-level course that spans four weeks. The course will be taught by a faculty member from the esteemed Mathematics Department of IIT, Delhi. Moreover, this course is entirely free of cost, and the paid certificate is optional. 

The course AI Applications in Marketing and Finance will help you get a precise understanding of applying artificial intelligence in business in general and in finance and marketing in particular. AI Applications in Marketing and Finance Certification Course, the online course offered by Coursera, is a flexibly structured programme that enables you to fix the deadline as per your convenience and schedule and will facilitate getting acquainted with artificial intelligence for finance. 

AI Applications in Marketing and Finance Certification Syllabus will dive into fraud, credit risks, safeguarding consumer data with the application of artificial intelligence and machine learning  and the implication of AI and ML in finance and marketing. Administered by the University of Pennsylvania, AI Applications in Marketing and Finance Certification by Coursera can be covered by the learners within approximately 6 hours. 

We live in a world driven by data, and through the Introduction to R for Data Science course, you can learn how to make the most of it using the R platform. This programme will take you through the various essential concepts of R, starting from how to download, install, and run the platform on your machine. 

Introduction to R for Data Science course, you will work with airline data and learn how to manage data using R. This is an introductory programme in R and data science, created for beginners who want to pursue this field and gain the foundational knowledge. Purdue University, USA, has developed this Course which is entirely free of cost on Future Learn.

If you want to study more advanced concepts and theorems of data science and R, then the Introduction to R for Data Science programme by Future Learn will be the perfect beginner course for you. Moreover, you can avail of this module for free or choose to pay for upgraded services and enjoy enhanced benefits by Future Learn. 

The Introduction to Process Mining with ProM course is being imparted by FutureLearn to provide the learners an understanding of process mining. This course has been developed by Eindhoven University of Technology, it is a design-oriented and research-driven university of technology. Process mining integrates business process management along with data science.

Taking the Introduction to Process Mining with ProM classes will teach the participants how to use a free, open source process mining framework to visualize, analyze, and improve processes based on data. 

Participants will be able to visualize and analyze business operations based on the recorded event data of their logs.  By pursuing the online Introduction to Process Mining with ProM certification programme will develop a critical and a process-centric perspective towards data, which is not possible in case of machine learning techniques or classical data mining. The Introduction to Process Mining with ProM syllabus has been designed in a manner that will develop proficiency in various process mining techniques such as social network analysis, conformance checking and performance analysis. Learners will be equipped to analyze the usage of public transportation by people, substantiate whether the bank loan application process is executed correctly, assess the learning behavior of students in a MOOC for course contents improvement and to predict when hardware parts are likely to break down.

The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

Healthcare Data Security, Privacy, and Compliance is developed and offered by Coursera with the aim of providing the learners with a detailed understanding of data security and privacy in the healthcare industry. Healthcare Data Security, Privacy, and Compliance Certification Course is the beginner-level online course in the Healthcare IT Support Specialization offered by Johns Hopkins University. 

Healthcare Data Security, Privacy, and Compliance Certification Syllabus will discuss the different types of healthcare data, various kinds of data sources and data elements used in the healthcare industry and many more. Offered by Coursera, Healthcare Data Security, Privacy, and Compliance Certification by Coursera can be completed within the minimum duration of five hours in the online mode. 

The Capstone Exam in Statistics and Data Science online course culminating in an assessment allows learners to solidify and demonstrate their knowledge in probability, data analysis, statistics, and machine learning. This exam serves as the final requirement of the MITx MicroMasters Programme in Statistics and Data Science. The Capstone Exam in Statistics and Data Science certification by Edx follows an instructor-paced, instructor-led format and enrollment can be done either by selecting the audit mode which is free of cost but gives only limited access whereas the verified track offers unlimited but paid access.

In this course, learners will have the opportunity to gain the skills needed from leading universities in India. The capstone exam is a virtual proctored exam and is the last part of the MicroMasters Programme in Statistics and Data Science. By completing the Capstone Exam in Statistics and Data Science certification course learners can earn their MicroMasters credential, demonstrating their proficiency in data science. This credential can also help learners accelerate their path towards an MIT PhD or a Master's degree at other universities.

As the user interacts with organizations has been growing at a rapid rate, the demand for new talents in the sector of data analysis has been growing because of the huge mountains of data being dumped on the company servers. As a result of this, the need for skilled professionals in the Python field too has risen in consequence since it happens to be the most used programming language for application development and has user-friendly data structures.

Python Programming and Data Science bring to the candidates the chance of mastering both these sectors through one course. The specialization program has been designed as such that it covers every necessary tool required in these two domains.

The program has been made 4-weeks long and effectively teaches the applicants all important concepts like Python modules, data-frames, analysis tools with perfect details. The is specially customized to take care of all the doubts the candidates might face and it successfully by introducing both English and Hindi as a medium of instructions.

Practical Predictive Analytics: Models and Methods is the certification programme on some of the practical and effective concepts and methods of machine learning and their real-world application. The course is a 100% online programme that the learners can pursue at their own pace. Offered  by Coursera, Practical Predictive Analytics: Models and Methods Certification Course is the second course in Data Science at Scale Specialization provided by the University of Washington. 

Practical Predictive Analytics: Models and Methods Certification Syllabus will shed light on statistical experiment designing, R Programming, Random Forest, Predictive Analytics and Machine Learning. The subtitles for the course videos of Practical Predictive Analytics: Models and Methods Certification by Coursera are available in different languages, such as French, Portuguese (European), Korean, Russian, English, and Spanish, allowing non-English learners to take the online programme. 

Natural Language Processing and Capstone Assignment is an intermediate-level programme on NLP offered by Coursera in association with the University of California, Irvine in the online mode. Natural Language Processing and Capstone Assignment Certification Course is the last course in the Data Science Fundamentals Specialization. The course will help the learners to understand natural language processing(NLP) in great detail and understand its application through a capstone assignment and various natural language processing examples. 

Offered by Coursera, Natural Language Processing and Capstone Assignment Training is jointly developed by Dursun Delen and Julie Pai under the supervision of the Division of Continuing Education of the University of California, Irvine. Natural Language Processing and Capstone Assignment Certification by Coursera is designed in a self-paced mode and can be covered within about 4 hours. By joining the natural language processing course, the students can also get familiar with natural language processing in AI, natural language processing in machine learning and natural language processing Python. 

Front-End Web UI Frameworks and Tools: Bootstrap 4 is an online certification programme, available on Coursera, developed and offered by the Hong Kong University of Science and Technology (HKUST) that aims at imparting the education of science and technology to the learners of Asia and the whole world.  Front-End Web UI Frameworks and Tools: The bootstrap 4 Certification Syllabus will train the students on client-side web UI frameworks with a particular focus on Bootstrap 4. 

By joining the Front-End Web UI Frameworks and Tools: Bootstrap 4 Certification, provided by Coursera,  the learners will be introduced to JavaScript, Bootstrap CSS, responsive design, grids, CSS preprocessors, Less, Sass, and many more. Front-End Web UI Frameworks and Tools: Bootstrap 4 Certification by Coursera will discuss the concepts of Node.js, NPM, Grunt, and Gulp. 

The Robotics Process Automation course by the National Institute of Electronics and Information Technology imparts intelligence to the participants in various concepts like RPA, OCR, error handling, programming, debugging, SAP, UiPath, state machine layout, reframe work, triggering events and types of bots.

This course provides knowledge to the candidate on various concepts in automation and robotics. By undergoing the Robot process automation course, the candidate will understand various dropping and dragging techniques. This program also helps the candidate to improve their knowledge of UiPath software. The course covers basic concepts like flowchart, sequence and workflow. This course provides hands-on practical sessions. It helps the candidate to gain practical knowledge.

The certificate offered by the National Institute of Electronics and Information Technology adds more value to the course. The program follows the bilingual mode of instruction. By pursuing this course, the candidate will understand in-depth concepts in robotics that would help them to excel in robotics and automation-related jobs.

The Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.