List of Online Courses and Certifications

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.

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.

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.

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. 

Artificial Intelligence on Microsoft Azure certification course is made available through Coursera, a digital learning platform that has collaborated with more than 200 premier higher education institutions to promote customizable, affordable, job-relevant online learning to individuals and organizations globally. Artificial Intelligence on Microsoft Azure online course is intended for students who wish to learn how Artificial Intelligence facilitates the production of powerful solutions to various types of problems, as well as making predictions or conclusions.

Artificial Intelligence on Microsoft Azure online classes by Coursera emphasize the fundamental AI topics of machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. This course demonstrates how artificial intelligence can be employed and explores the concepts of responsible AI, which can help students comprehend some of the issues that developers face when attempting to design artificial intelligence solutions. By the end of the course, students will have gained the knowledge and competence to pass the AI 900 certification examination and become certified AI engineers.

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.

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 Python Functions, Files, and Dictionaries certification course by Coursera introduces user-defined functions and the dictionary data structure. In the curriculum, you will learn about global and local variables, optional and keyword parameter-passing, lambda expressions, named functions, and Python’s sorting function as well. You will also learn how to pass in another function as an input, to control the sorting order. 

The course also includes a final project, where you will have to read social media data from a file, write out .csv files, and compute sentiment scores. The course covers chapters 10 to 16 of the ‘Fundamentals of Python Programming’ textbook, which is available for free as the programme’s accompanying text.

Suppose you have already taken up the Python Basics course, and want to expand your knowledge of Python. In that case, the Python Functions, Files, and Dictionaries training is ideal for you. Both these courses are geared towards new students of Python programming. Those who have had some exposure to Python, need a refresher, or wish to dive deeper into it, will also get benefitted from this course.

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.

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.