List of Online Courses and Certifications

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.

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.

Introduction to Artificial Intelligence certification by IIT Kanpur in collaboration with the MeitY offers basic techniques for building intelligent computer systems and application of artificial intelligence to solve the problems. Candidates will be given a chance to learn about formal logic, syntax, semantics, entailment and models, and much more. 

Introduction to Artificial Intelligence training is a complete package that provides high-quality video lectures and hands-on assignments that have a practical purpose. Students also become a part of group projects and partake in a final assessment examination that will ease the participants' learning process and help evaluate their progress. Various applications of Artificial Intelligence in robotics, vision, Natural Language Processing, etc., are covered in the curriculum.

Individuals participating in the Introduction to Artificial Intelligence certification course by IIT Kanpur stand to gain a lot from the programme. With bright career prospects in the field of artificial intelligence to look forward to, they also get 24*7 access to all the study material for a period of three months. The course also offers a hard copy to those candidates who complete all the assignments, pass the final exam and complete the course successfully.

With the need for accessing personal data increasing, it is essential for you to excel in protecting user privacy. While there are umpteen privacy use cases unsolved, in recent years, privacy-preserving technologies have developed. The Secure and Private AI certification course introduces you to three groundbreaking privacy-preserving technologies, including differential privacy, federated learning, and encrypted computation.

You will also master the usage of OpenMined's PySyft and deep learning tools such as PyTorch. These offer distributed and cryptographic technologies for safely training Artificial Intelligence (AI) based models on distributed private data. You can also participate in Facebook’s Secure and Private AI Scholarship Challenge. It will help you enrol in the Secure and Private AI training and win the Deep Learning or Computer Vision Nanodegree programme scholarship.

Secure and Private AI programme from Facebook is an advanced-level free course. It runs for nearly two months and provides rich learning content, interactive quizzes, a self-paced learning approach, and industry professionals’ mentorship. Besides, you will learn by doing exercises.  

The Data Science Bootcamp certification course offers a personalised applied learning experience for students with AIZA, a personal AI tutor. The comprehensive curriculum delves deep into Python’s basics and advanced concepts. Students also explore SQL, data visualisation, mathematics, machine learning, and more.

The Data Science Bootcamp by Byte Academy also allows students to learn about feed-forward neural networks, recurrent neural networks and convolutional neural networks. Besides, the syllabus devotes an entire section on software theory, covering algorithms, databases, networks, testing, and data management.

Byte Academy’s instructor-led live classes include practical sessions for students to apply the learned concepts by executing programming scripts. The Data Science Bootcamp online course also utilises a recorded flipped-classroom approach to engage students with recorded sessions, exercises, LMS slides, assessments, group code review, doubt-solving sessions, etc.

Moreover, students receive one-on-one instructor support throughout. They also create a team and a solo capstone project in the final phase of the programme.

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.

The Certificate Course on Artificial Intelligence and Deep Learning program is organized and offered by the Indian Institute of Technology in Roorkee on the Cloudxlab online education and innovation platform.

The courses study is about the principles and techniques involved in deep learning which is the basis for many recent innovations. In this course, the participants will gain a thorough knowledge of deep learning and machine learning with the best curriculum. The course educators include the faculties from IIT Roorkee Raksha Sharma(CSE dept) and Gaurav Dixit(DoMS dept) and the founder Sandeep Giri and Cofounders of Cloudxlab Abhinav Singh and Praveen Pavithran. 

The programming languages and tools that are used during the course study are TensorFlow, Keras, Learn, Numpy, Pandas, and Python.

The Data Science Course Complete Data Science Bootcamp online course is offered for the learners to acquire the basic skills to become data scientists. The course is provided by the online education platform Udemy as a self-paced learning program with informative videos and articles and resources that aid in grasping concepts. The course is a study about the core aspects of data science and its applications in real-life business.

The course is instructed by the educators from 365 Careers. In this course, the students gain a comprehensive understanding of the field of data science with mathematical skills, statistical skills, and the knowledge of Python, Tableau, advanced statistics, data visualization, deep learning, and machine learning.

The Data Science Course Complete Data Science Bootcamp training program provides the students with a course certificate after completing the program and full-time access to the course. The students are engaged with active learning through the concepts and principles discussed in detail throughout the course.

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. 

The Python for Data Science and Machine Learning Bootcamp online course is a study about Data Science that focuses on the software programming language Python to assess data, create data visualizations, and techniques to utilize machine learning algorithms. This online course is provided by the online education provider Udemy for the students who wish to develop their skills in Data Science.

The course instruction is done by the course educator Jose Portilla, the head of Data Science at Pierian Data Inc. This Data Science program engages students in theoretical concepts and practical learning of the programming language and algorithms. This online course enables the students to upskill themselves as Data Scientists.

The online video lectures, articles, and other resources aid in the enhanced discussion of concepts and principles of data science. The student of the ‘Python for Data Science and Machine Learning Bootcamp’ training program is given the course certificate after completing the course.

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.

The Data Science: Data Mining & Natural Language Processing in R online course is a study about the clustering, classification, and regression of data in R with the help of data preprocessing, data visualization, and machine learning. The course is provided by the online education platform Udemy for the students who are interested in learning data science with R fundamentals and strategies.

The course curriculum is developed with thirteen hours of video content, four articles, and ten downloadable resources that can be learned by the students at their speed and convenience. The educator for this online program is Minerva Singh who will guide the students with discussions on data mining, web-scraping, text mining, and natural language processing. 

The Data Science: Data Mining & Natural Language Processing in R training program enables the students to gain knowledge through experimental learning strategies and applications. The candidates are given the course certificate after completing the online training.

The ‘Information Retrieval and Mining Massive Data Sets’ online course is developed for the learners to gain knowledge about the different methodologies and strategies required to create an Information Retrieval system. The program is provided by the online education platform Udemy. The course curriculum consists of thirty-nine hours of videos and lectures which can be learned independently by the students at their own pace.

The course instruction is provided along with the English language subtitles that aid in a better understanding of the concepts. The theoretical concepts and the practical application of information retrieval and mining large data sets are engaged by the students and guided by the course instructors, Omkar Despande and the Mentors Net.

The ‘Information Retrieval and Mining Massive Data Sets’ training program equips students with the opportunity to have access to the course materials any time and the students will receive the course completion certificate after finishing the course.

The Tableau 2024 Advanced Training: Master Tableau in Data Science online course is a study of mastering Tableau 2024 and learning about data mining and data visualization through practical exercises. The course is provided by the online education platform Udemy for the students interested in improving their knowledge of advanced  Tableau. This data science program about Tableau 2022 consists of ten hours of video content and five articles that are accessible to the students anytime for self-study.

The course curriculum led by the educators such as Kirill Ermenko and the Ligency team helps the learners to train themselves with the advanced concepts and principles of Tableau 2024. The online program is provided with subtitles to enable students to understand the content easier. The Tableau 2024 Advanced Training: Master Tableau in Data Science training course provides professional guidance to acquire data science skills and the course certificate is issued after completion. 

The Outlier Detection Algorithms in Data Mining and Data Science online course is about the basic and advanced techniques and strategies of outlier detection with improving the programming skills with the algorithm application in Python, R, and SAS. The Outlier Detection Algorithm course is developed and provided by the online education platform Udemy for students interested in learning fraud detection and intrusion detection.

The course curriculum consists of two and half hours of video content and ten downloadable resources available to the students at any time to access after joining the program. The course instruction is offered by the KDD expert, a data scientist, and a professional with data mining, data analysis, and machine learning. 

The ‘Outlier Detection Algorithms in Data Mining and Data Science’ training program is a self-paced learning program that provides the students a course completion certificate after finishing the course study. The online program helps the students gain an opportunity in learning about the theoretical and practical applications of the outlier detection techniques in data mining and data science.

The Tableau 2022 A-Z: Hands-On Tableau Training For Data Science online course is developed and provided by the online education provider platform Udemy for the students interested in learning about the fundamentals of  Tableau for better presentation and assessment of the data. The course study on data visualization and data analysis through Tableau helps the candidates understand data patterns, customer behavior of purchases, trends in sales, and holdups in production. 

The course curriculum is developed by Kirill Ermenko (Data Scientist) and the Ligency team to professionally guide the students with the data science insights to solve real-life analytical situations. The course instruction consists of 8.5 hours of video lectures, six articles, quizzes, and Question and Answer sessions that build the student’s knowledge on the subject through experiential learning techniques.

The Tableau 2022 A-Z: Hands-On Tableau Training For Data Science training program is an introductory course on Tableau and the independent learning program provides course certificates to the students after course completion.

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.

The ‘Data Analytics and Reporting’ online course is designed for the students to develop a comprehensive understanding of the principles of data analytics, data preprocessing and the techniques and tools associated with data analysis. This certification program is provided by TCS iON digital learning hub for students who fulfill the eligibility criteria.

This industry honors certification by TCS iON will impart expertise in data analytics for machine learning and for statistical algorithms. The students are engaged with virtual learning methodologies aided by digital resources, lectures, practical sessions, and the online classroom. The course mentors are the academic professionals and industry experts such as the associate professor from IIT Patna, consultants, and managers from TCS. 

The ‘Data Analytics and Reporting’ online certification course equips students with professional skills for internships and career development with five-course credits after completion of the course. Digital certificates are given to participants of the program.

Natural Language Processing with Deep Learning in Python online certification was created by Lazy Programmer Inc., Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team, and is offered through Udemy Inc. which is an online learning platform, that helps individuals progress in their careers.

Natural Language Processing with Deep Learning in Python online course will teach how the GloVe method uses matrix factorization to find word vectors, using recurrent neural networks to solve natural language processing problems such as part-of-speech tagging and named entity recognition, as well as gain an understanding of how neural networks solve almost any problem, and how to use recursive neural networks to solve the sentiment analysis negation problem

Natural Language Processing with Deep Learning in Python online training is designed for individuals who are familiar with programming and have some experience in it as this course comes with prerequisites such as calculus, matrix addition, multiplication, probability, python coding, Numpy coding, neural networks and backpropagation, gradient descent algorithms, coding feedforward neural network in Theano or TensorFlow, coding recurrent neural network / LSTM / GRU in Theano or TensorFlow, tree algorithms. The interested learners could enrol on the course by paying the fee. 

Interactive Python Dashboards with Plotly and Dash certification course is developed by Jose Portilla - Instructor, Head of Data Science, Pierian Data Inc. and offered by Udemy Inc., a US-based online platform that provides courses to help beginners gain new concepts and techniques and professionals improve their competencies to advance their jobs.

Interactive Python Dashboards with Plotly and Dash online training will teach the learners to design customisable, interactive dashboards by using the open-source library of Plotly and Dash. Learners will be taught about Numpy and Pandas to make them feel comfortable interacting and creating data. Candidates will learn the cutting-edge technology of data visualisation with Plotly, such as scatter plots, line charts, bar charts, bubble charts, box plots, histograms, distribution plots, heat maps, etc.

With Interactive Python Dashboards with Plotly and Dash online course, learners will leverage the power of Plotly plots to construct interactive dashboards using the dash library,  and make dashboard layouts in python, use interactive callbacks, deal with many inputs and outputs, make interactive components, etc. In the end, candidates will be provided with exercises to assess their new skills. The interested learners could enrol on the course by paying the fee. 

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.

Complete Python Developer : Zero to Mastery online certification is a short-term course developed by Andrei Neagoie, founder of ZTM academy and instructor of some highest-rated programming and technical courses available online and Udemy Inc., a US-based online learning platform. Some of the course graduates are now working at top tech companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, etc.

Complete Python Developer : Zero to Mastery syllabus involves basics and fundamentals of Python programming such as data structures, object-oriented programming, functional programming, lambdas, decorators, generators, testing, debugging & handling errors, regular expressions, file processing (image, CSV, PDFs, texts, etc), web development with python, creating developer environment with PyCharm, Jupyter notebooks, VS code, sublime text, etc.

With the Complete Python Developer : Zero to Mastery certification course, candidates will also learn about machine learning with python and data science with python, working with APIs like a Twitter bot, password checker, translators, automation with python and selenium, and whatnot. Complete Python Developer : Zero to Mastery certification course is a detailed project-based course that will help the learners develop all of the modern skills required in a Python developer and boost their career just by enrolling themselves in the course.

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.

Pattern Detection with Python Regular Expressions (Regex) course is an online short programme created by Chandra Lingam. The curriculum will help the learners to explore the Python regular expressions along with the practical knowledge for Input Validation, Data Processing, and Transformation. The short course also imparts the skills to participants to use regex to locate and transform data of interest and make a detailed understanding of potential performance issues and techniques.  

Pattern Detection with Python Regular Expressions (Regex) online course, offered by Udemy, make the opportunity to gain the relevant information of regular expressions of Python such as Data Preparation, Input Validation, Cloud Services, etc. that the learners can apply in their own projects. The course also provides the participants with practical techniques with hands-on projects, examples, quizzes, and quality audios and videos. 

Pattern Detection with Python Regular Expressions (Regex) certification also offers the learners updated course material, lifetime access to the learning material, and video lectures. The programme demand from the learner having familiarity with programming to make use of the training completely. The interested candidates can enrol in the course by paying the fee.

The Python Bible™ | Everything You Need to Program in Python certification course is designed for individuals interested in data science, web development, artificial intelligence, or building robots as their own project using programs like Raspberry Pi. The course will help you learn the key fundamentals of Python programming to confidently begin your career as a python programmer.

The Python Bible™ | Everything You Need to Program in Python online certification is a short-term course offered by Udemy Inc., a US-based online learning platform. The content of the course is developed by Ziyad Yehia, an expert in teaching who uses a project-based approach and Internet of Things Academy.

The Python Bible™ | Everything You Need to Program in Python syllabus covers all the major operations in the python programming language to learn and develop the skills and techniques required in the industry which includes variables, numbers, strings, logic and data structures, loops, functional programming and object-oriented programming (OOP). interested candidates can enrol themselves in the course by enrolling themselves by making an online payment of Rs. 3,499 only.

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.

Python 3: Deep Dive (Part 1 - Functional) online certification is created by Fred Baptiste, a professional developer, mathematician, and instructor, for professional programmers and developers who want to dive deep into Python and learn all of its functions and operations from the ground up. It is presented by Udemy, a US-based ed-tech company that provides students with the best and most up-to-date skills through its online courses.

Python 3: Deep Dive (Part 1 - Functional) syllabus contains complicated topics, learners are advised to have prior knowledge of the following topics in order to get the most out of the course: variables and simple types such as str, bool, int, and float types, for and while loops, if/else statements, using simple lists, tuples, dictionaries, and sets, defining functions using the def statement, writing simple classes using the class keyword and the __init__ method, writing instance methods, and importing modules from the standard library. 

Deep Learning: Recurrent Neural Networks in Python online certification is a compelling course presented by an inspiring instructor. The cases are well-chosen, demonstrating foundations through fun, creative projects rather than lecturing on abstract concepts. The course is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an ed-tech organization based in the United States that supports students with the greatest and most up-to-date skills through online courses in more than 180 countries.

As the Deep Learning: Recurrent Neural Networks in Python online training involves complex concepts, candidates should have prior knowledge of the following topics to get the most out of the course: matrix addition, multiplication, basic probability, python coding, Numpy coding, matrix, and vector operations, loading a CSV file. The course also provides 12 hours of prerecorded English lectures and an article for understanding the topics at their own pace.

The Complete Pandas Bootcamp: Data Science with Python course is an online certificate prgrammes that provides you a comprehensive understanding of Pandas which is a software library written for Python to use for data science/data analysis and machine learning tasks. The course will explore Machine Learning (ML) and handling and managing financial data,  the two key applications of Pandas. The curriculum equips you with must-have potential for data science and machine learning (ML) and expertise in data analysis and data manipulation. 

The Complete Pandas Bootcamp: Data Science with Python online course is broadly divided into five parts. They are (1) Pandas Basics, (2)The complete data workflow A-Z with Pandas,(3) Two Comprehensive Project Challenges, (4)Application 1: Pandas for Finance, Investing and other Time Series Data and (5) Application 2: Machine Learning with Pandas and scikit-learn. The certificate programme prepares you for the real world facilitating the learning of Pandas with real data. 

The Complete Pandas Bootcamp: Data Science with Python certification, provided by Udemy, also gives you the chance to explore practical knowledge in data science with Python as well as 150+ exercises, quizzes, and projects. You can take the course as per the level of difficulty and have the opportunity to choose between guided and non-guided modes of the course as per your comfort. The interested learners could enrol on the course by paying the fee. Early birds will be given a discount.  

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.