List of Online Courses and Certifications

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 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.

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.

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.

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. 

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 Data Wrangling and Ingestion using Python Online Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. This training course is the third installment of the Data Analytics Using Python programme available at the portal. During this course, learners will gather knowledge about Python functions and how to use python in the data analysis process. Along with this, candidates will explore the use of SQL in data analysis and gain insight into the fundamentals of databases using SQL. 

The Data Analytics Using Python: Data Wrangling and Ingestion syllabus is divided into four weeks in which candidates will get deep knowledge about Python and its use in managing the different databases of the organisation. This course will be instructed by Ed Marks with English as a medium of instruction. 

To apply for the Data Wrangling and Ingestion using Python Training Course, candidates must visit the provider’s official website and register.  For other details regarding the course such as admission process, fee structure, etc. Candidates are advised to go through the entire article given below.

The Python Packages: NumPy and Pandas Dataframe Training Course is the second edition of the Data Analytics Using Python training programme that is offered by the FutureLearn portal in association with Github and endorsed by Coventry University, U.K.  In this course, learners will learn how to apply the fundamentals of Python programming in a project. Also, candidates will gain knowledge about data ingestion and how it is done by using python. Through this course, candidates will develop knowledge for data analysis and use python programming language more effectively.

The Python Packages: NumPy and Pandas Dataframe Certification Syllabus is divided into four weeks where candidates will develop their analytics skills using python and explore data ingestion with CRISP-DM methodology. The course will be instructed in English by Ed Marks. The Python Packages: NumPy and Pandas Dataframe Online Course will be conducted in online mode through various interactive sessions, doubt sessions, etc. Candidates who are interested in taking admission to this course must visit the FutureLearn official website and register. To get all details related to the Python Packages: NumPy and Pandas Dataframe Course, candidates must go through the article given below.

The Data Analytics and Python Fundamentals Certification Course is offered by the FutureLearn portal in collaboration with Github and endorsed by Coventry University, U.K. Through this course, learners will learn the fundamentals of statistics and its application in data analytics. Also, candidates will learn to use Python in data wrangling, ingestion, and use of advanced data analysis tools and techniques such as data mining and machine learning.

The Data Analytics and Python Fundamentals Online course is a part of the Data Analytics Using Python programme. The course will be taught by Ed Marks with English as a medium of instruction. The course syllabus is divided into four weeks which will focus on the key aspects of data analysis and the use of python. Candidates who are willing to take admission to the Data Analytics and Python Fundamentals Training Course must visit the FutureLearn portal and register. All details related to this course are given below in the article. Candidates are advised to go through the article carefully.

The Wiley Certified - Python Programmer certification course is created to explore the working of packages, installing and operating Integrated development environment, type conversion, Performing operations on variables, The course consists of various extensive hands-on work, assignments, and live training.

The Wiley Certified - Python Programmer certification By WileyNXT offers every possible knowledge of basic programming language as python is a popular general-purpose programming language used by both small and large-scale Applications. Due to its large standard of libraries such as Pandas, Numpy, Matplotlib, Python is adopted by a huge number of large-scale applications. 

The Wiley Certified - Python Programmer online course encourages students to learn about various libraries of python which have easy readability & multiple paradigm support including functional, procedural, and object-oriented programming styles, the libraries consist of various types of built-in modules which help in different types of data input and output operations with a wide range of functionalities in the modules available in python libraries.

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 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

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.

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 Introduction to Data for Business Leaders online course is offered by the online educational platform FutureLearn and is developed by ‘The DataLab’ which is a centre for innovation in data and AI. The online training is scheduled for four weeks with three study hours every week.

This online certification course equips the learners with the understanding of data and values derived through data in organisations that cause improved business outcomes. The ‘Introduction to Data for Business Leaders’ programme is about recognising and categorizing data and changes within an organisation. Here the candidates are taught to describe the organisation’s data maturity aided with strategies to find ways to improve its standards to strengthen business management. It assists in understanding and calculating the investments needed from within the organisational setup to drive the business and value systems forward.

The ‘Introduction to Data for Business Leaders’ online certification course can be done at the learner's convenience using the advanced course materials. The candidates will gain knowledge as they discuss ideas with their peers and learn along with Craig Paterson who is the strategic advisor and coach.

The Distributed Computing with Spark SQL certification course is a 14 hours course. This course is available on the educational course platform Coursera, and the syllabus is curated by the University of California. Also, this course is part of the main programme, Learn SQL Basics for Data Science Specialization. 

This Distributed Computing with Spark SQL training course is made for candidates with some ideas, and information about SQL. This Coursera programme will be great for students who want to step ahead in their data journey. All 4 modules developed for this course are intertwined among themselves. In the end, when all 4 modules are learnt, the candidates will have learned many ways related to Spark SQL, and ways to construct reliable data points.

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.

The Data Informed Decision Making Certification Course is a 4-week program. The Institute of Product Leadership is in charge of awarding the certification for this course and teaching the syllabus.

Data Informed Decision Making certification training enables learners to establish their credentials as professionals in the field of data science with decision-making skills in addition to receiving early appreciation from their peers.

Data Informed Decision Making Certification by the Institute of Product Leadership, Bangalore helps boost career profiles and improve professional equity.

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. 

The course 3D Data Visualization for Science Communication gives an introduction to 3D data visualisation and emphasises on cinematic design and science communication for attracting a wide range of audience. The candidates will build visualisation literacy, they will be able to write and create their own visualisations. The course is provided by The University of Illinois at Urbana-Champaign which is a top university when it comes to teaching, public engagement and research.

The course will cover a wide range of topics under 3D Data Visualization for Science Communication which includes an introduction to scientific visualisation, critiquing visualisation, computer graphics, visualising pipeline, 3D geometry, computational resources, programming, data representation, virtual coordinates, transformations and attributes, data artefacts, pre visualisation, camera design, image artefacts, to name a few.

This course will be purely taught online using lecture videos, quizzes, discussion forum and reference reading materials. The candidates will be expected to clear all the quizzes and tests included in the course to be eligible for being certified in the course if on the event of purchasing the certification.

Introduction to Data Science in Python is an online certification programme provided by the University of Michigan and available on Coursera which is one of the five specializations of Data Science. Thus, this course must be pursued prior to the other course in the specialisation i.e Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and  Applied Social Network Analysis in Python. Learners will be able to study data science in Python in greater depth with the tutelage of experienced instructors. 

Introduction to Data Science in Python Certification, accessible on the platform of Coursera, will expose the candidates to basic techniques of Python programming such as lambdas, reading the CSV files, and the NumPy library and python programming environment. By enrolling in the Introduction to Data Science in Python Online Course, the learner will develop the capacity to deal with tabular data and manipulate it along with running the fundamental inferential statistical analyses. 

Introduction to Data Science in Python Certification by Coursera will shed light on data manipulation, and the process of using the group by and pivot tables in an effective fashion. Introduction to Data Science in Python Certification Syllabus will help the students explore the cleaning techniques using the popular python pandas data science library and usage of the Series and DataFrame for data analysis and many more.