List of Online Courses and Certifications

The Python programming language is among the most widely used programming languages, with a ten percent growth in annual users, and has become the most dominant language in the data science field. Python Programming online course is created by Digital Vidya and offered by FutureSkills Prime which is intended for learners who wish to open doors to prospects far greater than they have ever had.

Python Programming online course includes 40 hours of thorough video lessons aimed at assisting learners in understanding Python, which is one of the most sought-after experts in the programming world. Python Programming online classes include a variety of topics, including Numpy, Pandas, string manipulation, regular expressions, and object-oriented programming, which are all used in the data science profession. Learners will be able to confidently work in Python and use their knowledge of compound data types, conditionals, control flow, error handling, and more to a variety of data science activities at the end of the program.

Data Science for Beginners online certification is created by Board Infinity which is and is offered by FutureSkills Prime which is designed for those who desire to work as professional data scientists but have little or no experience of the fundamentals of the profession. Data Science for Beginners online course by FutureSkills Prime is based on competency criteria set by SSC NASSCOM in partnership with industry and certified by the Indian government.

Data Science for Beginners online classes begin with the fundamentals of data science and progresses to more advanced topics such as data visualization, data wrangling, exploratory data analysis, object-oriented programming, and various tools and technologies that enable data science operations, such as Anaconda, Python, Jupyter, Pandas, NumPy, and others. On successful completion of this course, applicants will be provided two certificates of completion from the Board infinity and FrtureSkills Prime.

Machine Learning - Linear Regression certification course is developed by Leaps Analyttica TreasureHunt and is delivered by FutureSkills Prime, which is aimed at participants who are looking for a comprehensive training program to learn the functionalities of linear regression in a variety of machine learning and data science activities, as well as being used by organizations for future projections. Machine Learning - Linear Regression online course provides the expertise to design and validate a viable linear regression model on legitimate datasets.

Machine Learning - Linear Regression online classes by FutureSkills Prime will take the participants through the fundamental concepts of machine learning and linear regression including both simple and multiple linear regressions. This course also covers topics like exploratory data analysis, model iterations, variable selection, variable transformations, overfitting, and R square. By the end of this training, participants will be able to pre-process data and evaluate linear models as well as acquire an understanding of various stages of predictive modeling.

Python, an extensively used interpretative, interactive programming language, has become extensively famous for Data Science. Python's design concept prioritizes accessibility, and its semantics enable developers to communicate concepts in lesser code than languages like C++ or Java. The Data Science with Python course, developed by Corestack and delivered by FutureSkills Prime, is aimed to teach candidates the method and techniques involved in data science operations using the Python programming language.

Data Science with Python online classes makes use of Jupyter which candidates allow candidates to create the Python & PySpark notebooks and launch them. Data Science with Python online course is a 20-hour training program that focuses on explaining all of the fundamental and advanced principles of data science using Python and Power BI. This course also offers 24-hour support to provide rapid and effective solutions to challenges that candidates may encounter during their learning experience.

Data Structures & Algorithms for Beginners Course is an online course administered by  Board Infinity, the online learning platform that provides various online courses and certifications on a wide range of topics. The curriculum of  Data Structures & Algorithms for Beginners Online Course -developed by Abhilash Rudra, Quantitative Research at JPMorgan Chase & Co., will explore the data structures,  arrays, linked lists, and dynamic programming. 

Data Structures & Algorithms for Beginners Programme, offered by Board Infinity, will render the students a certificate after the completion of the course that will facilitate them to get certified and hired for a successful career opportunity. 

The R programming language is by far the most widely used in the data science and analytics field nowadays as it is easily accessible and extremely powerful, making it the language of preference for data scientists across the globe. The Data Science with R course was created by Corestack and is available through FutureSkills Prime which is designed for learners who want to obtain knowledge and skills in the field of data science using the R programming language's features.

Data Science with R online course provides students access to RStudio, which allows them to write and run code written in the R programming language. Data Science with R online training is a program that focuses on offering hands-on experience in the field of data science and the R programming language. This course also includes 24-hour support, which helps learners in their learning process by providing prompt and efficient assistance.

Big Data Hadoop - First Virtual Lab certification course is designed by Corestack and is offered by FutureSkills Prime which is intended for the participants who want to acquire the knowledge of the core concepts and functionalities of big data analytics using Hadoop. Big Data Hadoop - First Virtual Lab online course by FutureSkills Prime focuses on helping participants gain better hands-on experience utilizing big data Hadoop technologies.

Big Data Hadoop - First Virtual Lab online classes feature 20 hours of extensive video-based lectures aimed at demonstrating practical mastery of big data components such as Cloudera Manager, Hive, Spark, Oozie, Impala, and others. This course includes an enterprise-grade lab architecture for hands-on project experience, as well as 24-hour support to make the learning process easier.

DevOps for Data Science Course is a beginner level programme provided by Board Infinity that will equip the learners with an in-depth understanding of the tools of DevOps used in data science. The programme, made of 4 modules, will render the students with a certificate after the course enabling them to find a better career opportunity.   DevOps for Data Science Online Course will discuss the deep learning model deployment with Docker and Kubernetes, API development, models of deep learning etc.

DevOps for Data Science Programme, offered by Board Infinity, will introduce the students to the aspects of DevOps with the help of live classes, on-demand videos, case studies, assignments, and projects. The students will be provided with unlimited access to the course materials with one-time enrolment.

Python Fundamentals online certification is developed by Coding Ninjas and is presented by FutureSkills Prime which is meant for applicants who want to learn about ideal logic and how to translate that logic into efficient programs. The Python Fundamentals online course by FutureSkills Prime aims to provide knowledge that will enable applicants to become familiar with the concepts of data structures and algorithms, as well as become experts in problem-solving, to progress their careers as python programmer and data scientists.

Python Fundamentals online classes begin with the foundational concepts of Python programming language and progress through more complex topics like data structures, flow charts, loops, conditions, operators, and patterns. By the end of this program, applicants will have learned to use Python in a variety of analytical and web development projects. Applicants will also receive a participation certificate if they pass the course with a score of 60% or a certificate of excellence if they pass with a score of 90%.

Acquiring Data certification course is developed by Accenture and is delivered by FutureSkills Prime which is developed for candidates who are involved in the data field and want to enhance their knowledge of various data processing procedures and technologies. Acquiring Data online classes by FutureSKills Prime introduced the candidates to the basic concepts of data and big data terminologies and frameworks required for data science.

Acquiring Data online course is a part of FutureSkils' AI ascend program, which is aimed at data enthusiasts who wish to become professional data scientists. This course uses Python and Jupyter to familiarise applicants with big data, metadata, and data validation concepts. The program also covers subjects such as DataFrame from the Python, Pandas package, which will serve as building blocks for advanced Artificial Intelligence topics.

The Statistics for Data Science with Python online course introduces you to the basics of statistical procedures and methods used for data analysis. After completing this programme, you will have practical knowledge of essential topics in statistics, including – data collection, summarizing data using descriptive statistics, displaying and visualizing data, and examining relationships between variables.

The Statistics for Data Science with Python syllabus also includes hypothesis testing, probability distributions, expected values, ANOVA (analysis of variance), correlation, and regression analysis. You will also get hands-on training in statistical analysis using Jupyter notebooks and Python – the tools of choice for Data Scientists and Data Analysts. 

At the end of the Statistics for Data Science with Python course, you will undertake a project to apply various concepts learned during the course and solve a Data Science problem that involves a real-life inspired scenario. Coursera also provides a certificate upon course completion, which offers tangible career benefits. However, you must pay a fee to get the certification.

Power BI Online Course certification is designed by Board Infinity, an online educational environment for professional workers that will assist them in reaching excellence to accomplish their professional objectives. The Power BI Online Course classes by Board Infinity are designed for applicants who wish to learn more about the fundamentals and advanced principles of Microsoft Power BI, as well as the methodologies for visual data analysis.

Power BI Online Course syllabus begins with the most fundamental notions, therefore no prior understanding of visualization is required. This course covers bar charts, pie charts, line charts, and table charts, as well as other types of visualizations that are important in data science operations. Applicants will have established essential competencies in Power BI for executing and sustaining a variety of business intelligence activities at the end of this program.

The AWS Data Analytics Certification Training Course covers topics like Kinesis streams, AWS big data storage, processing, analysis, s3, DynamoDB, and security services. The AWS Big Data Certification course includes essential AWS methodologies and techniques, enabling students to get industry-ready and land a coveted job of their choice.

The course also offers a lot of hands-on experience, with many practice and industry-based projects for the students to dabble in. The projects also help candidates get a clear picture of what’s expected in the industry. Moreover, AWS Data Analytics Certification Training Course by Simplilearn will also enable candidates to prepare for the AWS Certified Data Analytics - Specialty exam.

Moreover, AWS Data Analytics Certification Training Course by Simplilearn also aims to provide the candidates with exhaustive knowledge about various elements of cloud computing and its deployment tactics via eLearning content, practice simulation tests, and industry-based projects. Candidates also receive 24x7 learner assistance for any queries. Upon course completion, successful candidates will receive a course completion certificate.

Big Data on AWS Training Course familiarizes the learners with developing and managing big data solutions on the platform of AWS (Amazon Web Services) and prepares them with the skills and knowledge to become certified AWS Big Data developers. In this online training by Mindmajix Technologies, the students will study a wide range of topics related to big data on AWS such as cluster management, application of big data in real-time situations, structured and unstructured data, and the like. 

Big Data on AWS Training online course demands having knowledge and understanding of the following topics as the prerequisites to be eligible for enrolling in the course, namely, basics of big data,  Apache Hadoop, SQL/NoSQL querying, HDFS, MapReduce, database design, relational database systems, data warehousing along with the working knowledge of key functionalities of AWS. After the Big Data on AWS Training certification, plenty of professional and career opportunities are available for the candidates; AWS Big Data specialist, Big Data AWS Architect, AWS - Spark Scala Developer, AWS & Big Data Designer, Big Data developer, to name a few. 

MindMajix Technologies Inc. created the Bigdata Greenplum DBA Training certification course for students who wish to advance in their careers by learning the core topics such as Greenplum's big data principles and big data analytics methodologies in order to be better prepared for future employment prospects.

Bigdata Greenplum DBA Training online classes will educate you on how the database takes a global perspective of execution throughout the computer network and how to implement potential execution strategies. Bigdata Greenplum DBA Training online course is separated into 15 sections that cover major Greenplum subjects such as Greenplum architecture, broadcasting, distribution policy, distributed database, Greenplum security, monitoring, data distribution optimization, and much more. The course also includes Mindmajix's premium services such as resume building, counselling, and mock interviews.

The fields of big data, data science, and artificial intelligence are all interconnected in terms of research and technological advancement. Big data technology makes use of AI concepts and methods, and AI depends on abundant data sources and related big data technologies to advance and develop decision-making attributes. Intro to Big Data, Data Science, and Artificial Intelligence online certification is designed by Julia Mariasova- Management Consultant & Media Producer, which is made available through Udemy.

Intro to Big Data, Data Science, and Artificial Intelligence online training is a self-paced program that comprises 10 articles, 10 downloadable resources, and assignments that are intended for candidates who are interested in big data, machine learning, and artificial intelligence to advance in their professional careers. With Intro to Big Data, Data Science, and Artificial Intelligence online classes, candidates will also be taught about the functionalities of big data and data science in the fields like healthcare, manufacturing, logistics, transportation, real estate, and property management.

Business Analytics with R Training Course is a training programme on Business Analytics using R that is developed and offered by Mindmajix, the online educational platform that provides various training courses. Through this online training, the students will understand deeply the aspects of the business analytics with R such as R for the analysis, Functions used in R for Data Inspection, Introduction to Spatial Analysis in R, Sub-setting methods in R, R Classification Rules for Decision Trees, advanced analytics, data analysis with R and many more.

 Students who plan to enroll in the Business Analytics with R Training Online Course can attend the training in two methods provided by Mindmajix, namely, the live mode through Google meet or Zoom with the support of the instructor or mode of self-paced videos. The learners will be able to explore the practical knowledge and experiences of the real-time application of Business Analytics using R Programming.  After the completion of Business Analytics with R Training certification, the participants will be given the opportunity to take the benefits of the premium features of Mindmajix including the Custom Resume Builder Access, Privileged Community Support, Mock Interviews, Life-Time Self-Paced Videos Access, etc.

This course offered by Edureka will enable the candidates to understand what Graphical models are, their components, types, how to represent graphical models, and decision making using them. Candidates who are interested or are currently working in the field of Data Science with basic knowledge in Machine Learning or in Graphical Modelling, Artificial Intelligence, and Machine Learning enthusiasts, and Researchers can take up this course.

Graphical Models Certification Training offered by Edureka provides the candidates with the practical and hands-on knowledge required through cloud lab on a pre-configured environment and real-life case studies which involves implementing various Graphical Models concepts. The candidates are expected to have prior knowledge of Python, Probability theories, statistics, and fundamentals of ML and AI. 

The course on graphical models is made to teach in brief the Graphical Models, Probabilistic Theories, fundamentals of Graphical Models, types of Graphical Models which include Bayesian and Markov’s Networks, decision making and its assumption and theories, representation of Markov and Bayesian Networks, concepts related to Markov and Bayesian Networks, learning and inference in Graphical Models.

Taking the Introduction to Graph Theory certification course will provide you with useful insights into how engineers design integrated circuits and how GPS systems find shortest routes. You will also learn why a political map can only be coloured using a few colours and how biologists assemble genomes. The course curriculum includes the Ramsey Theory, which proves that complete disorder is impossible in an extensive system.

Additionally, the curriculum for the Introduction to Graph Theory certification course will cover a wide variety of graphs, including Airlines Graphs, Directed Graphs, Bipartite Graphs, and more. You will become adept in applying various algorithms to solve real-world problems via practice exercises and hands-on projects. 

Moreover, National Research University Higher School of Economics and the University of California and San Diego are offering the Introduction to Graph Theory programme jointly. As a result, candidates will be able to find better career opportunities upon course completion. 

The Introduction to Graph Theory online course is highly suitable for professionals working in the IT sector and IT aspirants.

Linear algebra is an area of application concerned with a system of equations and associated with vector space expressions via matrices. In other terms, one of the most important areas in mathematics is linear algebra, which is the analysis of linear functions and vectors. College Level Advanced Linear Algebra! Theory & Programming online certification is designed by Ahmed Fathy - MSc, Deep Learning Scientist & Instructor, and is delivered by Udemy.

College Level Advanced Linear Algebra! Theory & Programming online course is intended for applicants who want to utilize calculus, linear algebra, and matrices for data science, machine learning, deep learning, computer graphics, and game development. College Level Advanced Linear Algebra! Theory & Programming online classes include 35 hours of digital lectures, 15 papers, and two downloadable resources on topics such as linear regression, principal component analysis, singular value decomposition, Taylor expansion, Hessian matrix, projection matrix, inverses, and pseudo inverses.

Eigenvalues are a unique set of scalar values connected to a system of linear equations that are most likely seen in matrix equations. The characteristic components are another name for the eigenvectors. After applying linear transformations, it is a non-zero vector that can only be altered by its scalar factor. Eigenvectors and Eigenvalues online certification was developed by Ortal Arel, a certified instructor, and is made available through Udacity.

Eigenvectors and Eigenvalues online course highlights the essential technical abilities that employers seek in their employees and is geared at individuals who want to learn how technology is changing industries. Eigenvectors and Eigenvalues online training covers topics like linear transformation, characteristic equations, matrices, and principal component analysis in addition to teaching people how to compute the eigenvalue and eigenvector and explaining how they are useful and interesting when used in machine learning applications.

Here most standard combinatorial settings are addressed in the Combinatorics and Probability course that can help answer questions of this nature. In particular, this course focuses on improving the ability to differentiate these settings from algorithmic problems in real life. This will assist candidates to apply new knowledge in practice. Besides that recursive counting technique that is necessary for algorithmic implementations is also addressed here.

The Combinatorics and Probability course is part of Introduction to Discrete Mathematics for Computer Science Specialisation. There are total of five courses in it and Combinatorics and Probability is the second one. The language of computer science is known as Discrete Mathematics. In many areas including data science, software engineering and machine learning, one needs to work fluently. Via a fun approach, candidates are introduced to this language. Firstly they will solve several interactive puzzles that are specially designed especially for this online specialisation. Then actual solving methods and significant ideas will be introduced to them. It is sure that candidates will gain a deeper understanding in this way and will appreciate the beauty of the underlying concepts better. Programming examples, projects and problems are integrated into the specialisation in order to get the knowledge closer to IT applications.

Mathematical Foundations of Machine Learning Course will expose the learners to the mathematics and mathematical theorems used in machine learning. The curriculum of the online course developed jointly by Dr. Jon Krohn, Ligency I Team, and Ligency Team will equip the students with a solid understanding of mathematics needed for machine learning and data science such as linear algebra and calculus, critical mathematical subjects, and many more. Mathematical Foundations of Machine Learning Online Course recommends the learner to have acquaintance with secondary school-level mathematics to take full advantage of the programme. 

Mathematical Foundations of Machine Learning Certification, offered by Udemy, will explore Data structures, Tensor operations, Eigenvectors, Eigenvalues, and the like. The students will be awarded a certificate of completion and lifetime and unlimited access to learning materials with a one-time fee only.

Learn basic high school Maths the easy way certification course is created by Chanda Academy - an education provider, which is made available through Udemy which is intended for learners who want to brush up on their understanding of the fundamentals of various mathematical topics or students who want to prepare for their mathematics examination by acquiring knowledge and expertise in high school mathematics.

Learn basic high school Maths the easy way online classes by Udemy offer 59 hours of extensive lectures supported by 89 downloadable resources, with the objective of providing learners with a solid understanding of the fundamentals and enabling them to advance much more quickly when it comes to the more difficult subjects. Learn basic high school Maths the easy way online training revolves around topics like algebra, trigonometry, probability, statistics, linear equations, integers, ratios, indices, percentages, decimals, fractions, and circles as well as discusses the strategies to acquire the ability to tackle the much feared worded problems and other complex problems easily.

Mental math is a set of abilities that permits individuals to perform calculations in their heads without the use of a pencil and paper or a calculator. Mental math is beneficial in both the classroom and daily life. Mental math can assist individuals to comprehend mathematical concepts better and find answers faster. Rajinder Goswami - Teaching & Researching Mathematics professional created the Faster than Calculator, Speed Math Techniques & Mental Math certification course, which is available on Udemy.

Faster than Calculator, Speed Math Techniques & Mental Math online course provides more than 4.5 hours of digital learning resources which are designed for the learners who to master mathematics shortcuts and mental math to improve their quantitative skills in preparation for exams such as Bank PO, Bank Clerk, IAS, IPS, PCS, RRB, and many others. With Faster than Calculator, Speed Math Techniques & Mental Math online classes, learners will acquire the knowledge of the fundamentals concepts associated with mathematics to be able to perform fast calculations as well as will be taught about various mathematical concepts like squares, cubes, fractions, decimals, percentages, averages, HCF, LCM, and more.

Master statistics & machine learning: intuition, math, code certification course is created by Mike X Cohen - Neuroscientist, Writer & Instructor, and is made available through Udemy which is developed for students who want to learn the core principles of machine learning and statistics. Master statistics & machine learning: intuition, math, code online course by Udemy focuses on explaining how to utilize tools such as Python, Octave, and MATLAB for machine learning and mathematical operations, including statistics.

Master statistics & machine learning: intuition, math, and code online classes aim to teach the concepts of statistics and machine learning which act as the foundational principles of A.I. and business intelligence. This course involves more than 38.5 hours of prerecorded lectures, as well as four downloadable resources and three articles on topics like correlation, regression, clustering, classification, ANOVA, black box statistics, descriptive statistics, predictive analysis, signal detection theory, probability theory, data cleaning, data visualization, and data normalization.

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 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.

Artificial Intelligence: Reinforcement Learning in Python online certification is developed by Lazy Programmer, Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team and offered by  Udemy Inc., a US-based online learning platform to help individuals boost their careers.

Artificial Intelligence: Reinforcement Learning in Python syllabus involves topics such as Markov decision processes, dynamic programming, Monte Carlo simulations, temporal difference (TD) learning (Q-Learning and SARSA), using Q-learning to create a stock trading bot, approximation method, using openAI gym, multi-brand bandit issues, explore-exploit dilemma, etc.

Artificial Intelligence: Reinforcement Learning in Python certification course is designed for the professionals working as data scientists, python programmers who have knowledge of the following topics: calculus (taking derivatives), matrix arithmetic, probability, python coding, NumPy coding, linear regression, and logistic regression as they are prerequisites for this course. Candidates who wish to enrol in the course must purchase a lifetime subscription and they can also avail the discounts available at the time of checkout.