List of Online Courses and Certifications

Cucumber is a popular tool for behavior-driven development (BDD) because it makes testing scripts for system acceptance and automation testing that are easy to understand. In our tutorial on Cucumber testing, we cover both the basics and more advanced ideas. A cucumber is a tool for behavior driven development is used to make test cases for how the software works. It helps with testing that is done automatically. BDD includes writing test cases as simple English statements in a file called a "feature file." Cucumber with Java-Build Automation Framework in lesser code certification is made available by Udemy to candidates who want to develop their skills in cucumber BDD selenium test framework from scratch

Cucumber with Java-Build Automation Framework in lesser code online training includes 13.5 hours of video, six downloadable resources and 11 articles that can be downloaded, and a digital certificate when the course is done.

Cucumber with Java-Build Automation Framework in lesser code online classes cucumber installation, framework, code reusability, data driving tests, cucumber scenarios, reports, and selenium & cucumber dependencies.

Learning Microsoft Azure for Beginners certification course was developed by Brett Hargreaves, a professional software developer, and teacher, and is made available by Udemy for students who want to develop their technical skills to become Azure architects, which include the ability to install and customise infrastructure, implement workloads and protection, build for the cloud and Azure storage, and incorporate verification and secure data.

Learning Microsoft Azure for Beginners Technologies online course includes 11 hours of prerecorded lectures intended to provide students with the knowledge they need to become Azure solutions experts. With Learning Microsoft Azure Architect Technologies online training, students will be taught about topics like security implementation, networking, IP addressing, routing, and various azure technologies like Azure SQL, Azure Cosmos, Azure CLI, Azure Migration, Azure Active Directory, Azure Powershell and more.

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

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

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

The Zero to Hero in MATLAB training is a six-week online course designed to impart practical knowledge among engineering students. The high-quality and updated study material emphasizes the importance of using MATLAB for complex models and design systems. The syllabus is designed after understanding the need for practical knowledge in an academic setting.

The Zero to Hero in MATLAB online course teaches educators how to bridge the gap between providing real-life examples and capturing their students' attention. Besides, using MATLAB is recommended because of its widespread industry-related usage, and it teaches how to apply theoretical knowledge. Educators can also teach their students how a whole project and problem-solving is related to the theoretical concepts by using examples of large-scale models. 

The Zero to Hero in MATLAB certification syllabus also includes variables and assignment statements, operators, loops, relational expressions, several debugging techniques, and MATLAB program organization. Furthermore, candidates can receive a valued and verified certificate after submitting the in-course assignments and fulfilling the final exam's eligibility criteria.

Getting Started with SAS programming course certification is for the learners who want to acquire skills and gain knowledge about SAS programming. This course is helpful for learners who are just beginners. The SAS programming language is a system programming language which is operated for statistical analysis. It can easily be used as common spreadsheets and databases for better understanding of the contents. SAS programming language is most commonly used in the commercial market and is open-source software. 

SAS stands for Statistical Analysis System. It is a software suite developed to ease statistical and commercial market analysis. SAS programming can easily process complex data and give out various insights that help in better decision making or predict possible solutions for the problem.  SAS is a very powerful analytics programme for various organizations who needs an urgent solution from their data. SAS provides a bunch of analytics solutions and helps by providing industry knowledge for easy access to the solutions. 

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

The Machine Learning A-Z™: Hands-On Python & R In Data Science online course is a study about the algorithms of machine learning using Python and R programming languages in data science. The online course is provided by Udemy for students who wish to learn about data science and machine learning concepts. The course consists of forty-four hours worth of videos, lectures, articles, and other significant resources for the students to learn at their own pace.

The online training helps engages the students in practical understanding of concepts and principles to apply in real-time situations.

The online program is developed by instructors such as Kirill Eremenko(Data Scientist), Hadelin de Ponteves(AI Entrepreneur), SuperDataScience Support, and Ligency Team. The students get access to the course materials all the time. The Machine Learning A-Z™: Hands-On Python & R In Data Science training program will provide the students with the course certificate after completing the program. 

Bayesian Machine Learning in Python: A/B Testing online certification is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and offered by Udemy Inc., an online learning platform based in the United States that helps individuals learn new skills and professionals refine their existing ones. 

With Bayesian Machine Learning in Python: A/B Testing online training, methods that candidates will learn will not be limited to A/B testing; rather, they will use A/B testing as an introduction to how Bayesian techniques can be used. Candidates will master the essential tools of the Bayesian method - using A/B testing as an analogy - and then apply those Bayesian methods to more advanced machine learning models in the future.

Individuals taking the Bayesian Machine Learning in Python: A/B Testing online course, are advised to have prior knowledge of the following topics: probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF), python coding, Numpy, Scipy and Matplotlib so that their lack of knowledge of any particular topic won’t affect their overall learning experience. 

The Complete Machine Learning Course with Python online certification focus on providing an opportunity to candidates to create a catalogue of 12 Machine Learning projects that will help them secure their dream jobs or enable them to use Machine Learning algorithms to effectively deal with problems in business, career, or personal life.

The Complete Machine Learning Course with Python certification course is created by Codestars by Rob Percival - Teaching the Next Generation of Coders, Anthony NG - Algorithmic Trading Workshop Researcher and Conductor & Rob Percival - Web Developer And Teacher and presented by Udemy, to help programmers learn machine learning techniques from roots.

The Complete Machine Learning Course with Python online training will teach machine learning algorithms with python to classify flowers, estimate home prices, identify handwritings or numerals, identify staff who are most likely to depart early, detect cancer cells, and many such things until the end. 

The Design Thinking in Data Science online course is developed to present to the candidates the domain of data science and the techniques and strategies involved in the field. It is offered by the research and consulting educational institution concerned with data science. This online course helps develop data science skills based on engineering and business. The Design Thinking in Data Science online programme has a course schedule of 20 classes that are held live for 1 hour per week and the candidate will be required to spend an additional four to five hours per week. 

The course study is about learning programming and the fundamentals of data science with regard to the coding, mathematics, and business aspects beneficial for those who aspire to become data scientists. The online course instruction is done by qualified professional Dr. Dakshinamurthy V Kolluru, the founder, president, and chief mentor at INSOFE. The course modules and lectures provide an experiential learning process to the candidates.

In the Capstone: Retrieving, Processing, and Visualizing Data with Python Programme, learners will explore all the fundamentals of visualising, processing and retrieving data using Python programming language. Projects will comprise all elements of the specialisation. The first part of the course will focus on acquainting students with present technologies and giving them enough knowledge to work on their own projects and visualise other data. 

This course covers Python 3 and deals with skills like Python Programming, Database (DBMS), Data Analysis and Data Visualization (DataViz) amongst everything else. It is a part of Python for Everybody Specialization course offered by the University of Michigan, thus honed by experts who have worked in the present field for years and brought their valuable insights and takeaways from the current domain for the candidates.

Besides this, the curriculum will also brief course takers with basic concepts surrounding programming, namely- networked application program interfaces, data structures and databases, all using Python which holds extreme significance in Data Analysis and Data Science.

MindMajix Technologies Inc developed the Data Visualization Training certification course with the intention of providing candidates with educational resources and certification to assist them in achieving significant abilities to examine the various aspects of data visualization and dashboarding. Data Visualization Training online course provides fundamental training to discover how projects are implemented in real-time and how views can be constructed by dragging and dropping.

Data Visualization Training online classes also include instruction on formula-based calculations fields, and other computations, as well as investigations into various display kinds, personalization of maps, and so on. The course includes 30 hours of thorough video lectures that provide applicants with hands-on experience with the topics and help them build the skills needed to become data scientists.

The Applied Data Science with Python Course has been developed to give candidates an in-depth understanding of the various Data Science techniques that can be performed using Python. The Applied Data Science with Python course uses real-life projects and case studies to impart learning. 

The candidates can establish mastery in data science and analytics techniques using Python by enrolling in this Applied Data Science with Python Course by Simplilearn. Python has become a required and an important skill set for many data science positions in the industry, kick start your career with this interactive, hands-on, Data Science with Python Certification Training Course

Moreover, the Applied Data Science with Python Course online provides a comprehensive knowledge of the Python language and Python packages. You will be able to learn the various types of applied functions, gain an understanding of the data structure in Python, and perform data visualizations using the various libraries.

Once candidates complete the Applied Data Science with Python Course successfully, they will receive an industry-recognised certificate which has lifelong validity.

The ‘Python A-Z™: Python For Data Science With Real Exercises!’  online course is a study of the concepts and fundamentals of programming in Python. The course is offered by the online education provider platform Udemy for students who are interested in developing their programming skills in Python and solve real-world analytical challenges using a better comprehension of the ideas and strategies.

The independent learning program consists of eleven hours worth of video content, six articles, and access to the course materials at any time that allows the candidates of the program to finish the course at their speed. The course instruction is done by Kirill Eremenko, a professional data scientist. 

The ‘Python A-Z™: Python For Data Science With Real Exercises!’ training program enables the students to upskill themselves for the data science domain. The videos contain subtitles that provide an easy understanding of the concepts and the students are given the course completion certificate after completing the online program.

Data Science And Analysis: Make DataFrames in Pandas And Python online course aims to teach data science and analysis and use the data to generate data frames using Python and Pandas, an open-source library written in Python that provides high-performance and easy-to-use data structures and data analysis tools. Participants will be taught to create completely operational games tic-tac-toe and Blackjack. Participants will also study classes, methods, attributes, instancing, and class inheritance.

Data Science And Analysis: Make DataFrames in Pandas And Python online certification is developed by John Bura - Owner of Mammoth Interactive, Web & Game Developer and Instructor and is made available through Eduonix, an educational organization providing skill development courses and training to students around the country. Data Science And Analysis: Make DataFrames in Pandas And Python online training is divided into two major parts, part 1 deals with Python, how Python is utilized by the companies like YouTube and Instagram, and concepts like variables, functions, and if statements, data structures, handling user input & output and file input & output. Part 2 deals with the process to employ the Python expertise in the Pandas framework to create and modify a data frame and analyze the data.

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. 

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes over 1.5 hours of video lectures, case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

Data Science: Natural Language Processing (NPL) in Python online certification is a course that employs a functional computing learning technique that has proven to be extremely efficient among hundreds of students who took the course. The course is developed by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an online course provider aimed at professionals and beginners.

Data Science: Natural Language Processing (NPL) in Python online training will help learners to develop a cypher decryption algorithm to be used in warfare and espionage, how to build and use a variety of useful Natural Language Processing tools, such as character-level language models (based on the Markov principle) and evolutionary algorithms. Learners will develop a spam detector using conventional machine learning techniques, and develop a python sentiment analysis model to provide a value to a body of text indicating how good or bad it is.

Candidates can enrol themselves in the Data Science: Natural Language Processing (NPL) in Python online course and are advised to have prior knowledge of python coding so that lack of knowledge of particular topics does not impair their overall experience.

Algorithms on graphs is a much-used concept in navigation services and has thus found supreme applicability in the current scenario. Whether it be road networks, social networks or computer networks, this domain offers a lot of scope for learning, especially for engineers. To think of the fastest time to commute, people often resort to a connected set of computers which are strewn through an efficient algorithm or a dense network. This also helps in detecting communities and leaders on Facebook.

Algorithms on Graphs course is one another valuable offering by Coursera which delves deep into the insights of graphs and its varied properties. Candidates will learn traversing graphs and orderly traversing of the same to perform meaningful tasks. Discussion on shortest paths algorithms from basic level used to open doors till faster ones used in Google Maps will be conducted. Pursuing this course will also help candidates in pursuing Fast Shortest Routes industrial capstone projects if they wish to.

This course concludes with minimum spanning trees utilised in road planning and telephone and computer networks.

Matthew Fried - Professor created the Discrete Structures, Data Structures, and Algorithms certification course, which is available on Udemy and is designed for students who want to improve their knowledge and expertise in mathematical concepts such as algorithms, data structures, and discrete structures. The goal of the Discrete Structures, Data Structures, and Algorithms online course by Udemy are to help students comprehend all of the mathematics and structures required to perform computing effectively.

Discrete Structures, Data Structures, and Algorithms online classes are designed to provide students with a systematic and comprehensive understanding of the major components of discrete structures, data structures, and algorithm foundations. Students will receive 29 hours of digital downloadable learning materials, as well as 56 downloadable resources, covering topics such as logic, proof, graphs, relations, sequences, series, set theory, graph theory, number theory, euclidean theorem, matrix chain multiplication, hashing, sorting, binary trees, graph math, and more.

The R Programming - A Practical Approach course enables learners to become proficient in dealing with concrete datasets. Analysis of data is one of the highest valued skills employability, which makes this course unique. Candidates will get hands-on data analysis experience. This training programme carries a 67 credit score.

The R Programming certification training ensures that the learners have a detailed understanding of the various fundamentals of the R language. This includes using data sets and designing analysis charts like pie charts, bar graphs, histograms, 3D scatter plots and box plots. As this is a paid programme, candidates can access the course content after paying the programme fee. The course fee provides them with access to the course content for six weeks.  

Moreover, the R Programming online certification allows the students to explore various applications of the R language. They will learn how it can best be applied in various domains like machine learning, statistics, and data analysis. The course welcomes all students, faculties, and working professionals of the IT/CS domain.

Julia Training course is an online training on Julia programming language created and administered by the e-learning platform Mindmajix. The online programme aims at providing the students with a solid foundation on the programming language of Julia focusing on statistics, scientific computing and numerical accuracy. The learners will master all the aspects of Julia which is a dynamic and high-performance programming language through this training programme.

Julia Training online course could be taken by the candidates through either the self-paced e-learning videos of 30 hours or Zoom or Google meet live sessions led by instructors. The training for corporate entities is also available in this training programme on programming. The curriculum will equip the participants with a deep understanding of various strands of Julia such as Scalar Types, Control Flow, Functions, Arrays, Metaprogramming, Plotting, Parallel Computing and whatnot.  The learners who pursue the Julia Training certification will also be provided with the aid to attend the interview with confidence, access to the e-learning videos all their life, support to come up with an outstanding resume at the end of the programme.

RA: Data Science and Supply Chain Analytics. (A-Z with R) online certification was designed by Haytham Omar, a Supply Chain Consultant, and is offered through Udemy which is meant for students who wish to become supply chain data scientists by combining data science and supply chain knowledge. The RA: Data Science and Supply Chain Analytics. (A-Z with R) online course by Udemy is organized into interactive learning modules that begin with supply chain foundations and end with R programming fundamentals.

RA: Data Science and Supply chain analytics. (A-Z with R) online classes cover 38 hours of detailed video lectures along with articles, 56 downloadable resources, and assignments to help students gain practical knowledge of the supply chain applications using data science. Forecasting, revenue management, inventory management, simulation modeling, data manipulation, and data cleaning are all covered in this course. Students who wish to learn everything presented in this course must enroll and pay for the lifetime membership to access the course content.

We are witnessing and adapting to the fourth industrial revolution, Industry 4.0, powered by Big Data and AI. At the global level, data integration has become highly essential for organisations and businesses to achieve global competitiveness. With the prevalence of Big Data all around, it becomes highly relevant to explore the underlying information and reap optimum rewards. In this scenario, data science and analytics enable decision-makers and business leaders to understand, manage and utilise data effectively.

R is a free, open-source programming language that is widely used by data scientists and analysts for developing software and applications in a data science setting. R offers tools and techniques for data analysis, statistical computations and data visualisation. R is available to use on various operating systems and is widely recognised for its extensibility, which allows developers to develop and distribute their own software as add-on packages. These features make R programming an ideal choice for data science experts and data analysts to utilise R in a variety of fields and areas.

The R Programming Environment online certificate course offered by Johns Hopkins University via the Coursera platform aims at providing useful knowledge of R Programming Language to data scientists, data analysts and data science experts to efficiently work in data science settings. This 100% online programme is of intermediate level and the first course in the Mastering Software Development in R specialisation.

The Advanced R Programming certification course is the second one in the ‘Mastering Software Development in R Specialization’ series offered by Coursera. The course curriculum explores the advanced topics such as functional programming in R, object-oriented programming, robust error handling, profiling and benchmarking, debugging, as well as the proper design of functions.

The Coursera Advanced R Programming online course, offered in collaboration with Johns Hopkins University, aims to prepare students for unique data challenges and to identify everyday data analysis tasks. They will also learn how to define new data types in R, create functionalities specific to these for enabling cleaner execution of tasks related to data science, and stronger reusability within a team. All this is taught through pre-recorded videos, readings, graded quizzes, and assignments, for a valuable learning experience.

Furthermore, the Coursera Advanced R Programming online course is designed, keeping in mind the convenience of students. Hence, the modules are self-paced and entirely online to help students learn from the comfort of their own space. Upon satisfactory completion, participants get a \shareable certificate.

The programme Certificate in R programming is introduced by V skills academy to prioritize the career by programming with R. 

The main goal of the academy lies with the career-building to the students who are interested in programming and its basics. Therefore, the VSkills academy helps the candidates with conceptual learning and practical skills as well to educate the candidates with the key basics of R Programming.

R programming is used for data analysis and data visualization to sort the data, queue the data, and merge the data as well. 

R programming with combined data science has a better future for the candidates in the field of robotics, artificial intelligence, and machine learning. Therefore, there is a need to get the best skills in R programming, and thereby V skills academy comes into the act.

The academy has many joining hands with the MNCs and top global companies. So the academy helps the candidates to get them hired in their desired field with their skills and knowledge. The academy offers an e-certificate that is sharable to resume and CVs and the certificate is approved by the government. So it adds value to the resume and increases the chances of hiring the candidate.

Amity Future Academy, in collaboration with Berkeley Global, offers the Certificate in Machine Learning with Generative Artificial Intelligence course. The course aims to hone skills, enhance machine learning (ML) and deep learning competency, and provide in-depth knowledge for handling popular platforms and languages.

Industry leaders from data science, deep learning, and machine learning domains teach the course. The

Certificate in Machine Learning with Generative Artificial Intelligence course covers topics like ML techniques using Python, deep learning-neural networks, exploratory data analysis, Keras and TensorFlow, and more. After the completion of the programme, students will gain expertise in the critical concepts of AI, deep learning, ML, data science, and data mining. Candidates will be adept at making strategically essential decisions in their professional domain with Machine Learning techniques, various algorithms, and models.

Students will get access to an industry-driven comprehensive curriculum featuring a capstone project, four case studies, assignments, and quizzes. Learners will receive dual certification from UC Berkeley and Amity Future Academy after finishing the Machine Learning with Generative Artificial Intelligence course.

Learning Python for Data Analysis and Visualization online course is designed to help the participants learn how to programme with Python and use it to analyse data in conjunction with scientific computing modules and libraries. The Learning Python for Data Analysis and Visualization course is offered by Udemy Inc., a provider of online courses for professionals and beginners.

Learning Python for Data Analysis and Visualization training involves NumPy & pandas Jupyter notebook, data visualisation seaborn, JSON, HTML, MS Excel Worksheets to help learners understand the methods to construct, analyse and manipulate data. The course also provides content on machine learning with python.

The Learning Python for Data Analysis and Visualization certification course also provides lifelong access to over 100 sample python code notebooks, new and updated videos, and assures future updates of other data analysis projects to utilise as a portfolio to showcase hiring managers. Candidates have to pay Rs. 3,499 by any online mode of payment who wish to enrol themselves in the course.

The R Programming for Statistics and Data Science online course is a 6.5 hours short program provided by Udemy. The course includes 39 articles and 36 downloadable resources. Candidates will get lifetime access to the course content. The course covers the fundamentals of R in programming.

The R Programming for Statistics and Data Science training teaches about loops, conditional statements and functions of R programming. The course teaches candidates to build functions in R and get the data in and out of R. The course includes basic tools used in data science with R, ggplot2 package, and grammar of graphics.

The R Programming for Statistics and Data Science syllabus covers the fundamentals of statistics, hypothesis testing in R. The course teaches to draw insight and visualize different types of data to make data-supported decisions. Candidates can access the course content on their television and smartphone.

Python for Finance: Investment Fundamentals & Data Analytics online course is designed to help candidates learn concepts and skills of python for finance, investment, tackle financial calculations and portfolio optimization tasks for both beginners who have never even coded before and professional python programmers who want to polish their skills and to help them increase their opportunities to enhance their career prospects.

Python for Finance: Investment Fundamentals & Data Analytics online certification is a short-term course offered by Udemy Inc., a US-based online learning platform. The course content is created by 365 careers, ranking 1 among Udemy’s best-selling providers of business, data science, and finance.

Python for Finance: Investment Fundamentals & Data Analytics syllabus covers major topics, tools, and techniques useful for data analysts and financial analysts such as Rate of return of stocks calculating the risk of stocks, rate of return of stocks, risk of a stock portfolio, covariance, the correlation between stocks, diversifiable and non-diversifiable risk, alpha & beta coefficient, regression analysis, Sharpe ratio, Markowitz efficient frontier calculations. Candidates will also learn about derivatives and their types, using Monte Carlo for options pricing and stock pricing, the Black Scholes formula, and many tools to help learners develop skills at a cost of Rs. 4,999 only.