List of Online Courses and Certifications

Stata training Course is developed to help the students to enter the world of Stata which is integrated statistical software used for data manipulation. The curriculum will explore numerous aspects of Stata including the Stata menu system and environment, the process of reorganization of a dataset, inspection and listing of data in a Stata dataset and much more along with the practical training with the help of several hands-on projects etc to help the students to build industry-relevant skills of data manipulation. Mindmajix allows the learners to join the Stata training online course using either of the three options of admission. 

Offered by Mindmajix Technologies, Stata training certification will give the candidates a clear picture of numerous concepts related to Stata including Stata Interface, automation of Stata, fundamentals of data management, command syntax, Data formats and variable types. The students will be provided with job assistance, mock interviews, lifetime access to the study materials etc after the programme. 

Data Science Bootcamp online certification is developed by Board Infinity, a digital learning platform for job seekers and learners to help them realize their true potential to meet their career dreams. The Data Science Bootcamp online course by Board Infinity is designed for those who wish to learn the fundamentals of data science to advance their careers as professional data scientists.

Data Science Bootcamp online classes include more than 30 hours of extensive video-based lectures, as well as exercises and projects, which are included in the classes to assist applicants to get a better grasp of topics such as business analytics, and data wrangling, and data visualization. Applicants will have learned how to use tools such as Python, Pandas, Numpooy, Seaborn, SQL, Tableau, Excel, Jupyter, Matplotlib, and others for diverse data science activities by the end of this course.

Cloud computing, Blockchain and IoT are some of the cutting-edge technologies which are leading today’s digital revolution. These form a part of the very top skills which are in high demand in the current competitive job market. The IIT Madras: Advanced Certification in Software Engineering for Cloud, Blockchain & IoT course offered by IIT Madras, and Great Learning aim to train its candidates in these advanced and highly demanded skills mentioned earlier. 

The Advanced Certification in Software Engineering for Cloud, Blockchain and IoT programme is an online course with a rigorous curriculum and the very best industry support. Not only will the candidates have an opportunity to learn from a top university like IIT Madras, but also have a broad exposure to advanced skills to become multi-faceted software engineers. 

Designed by the faculty of IIT Madras along with Industry experts, the Advanced Certification in Software Engineering for Cloud, Blockchain and IoT course will help the students develop a deeper understanding of the modern technologies, their interdependence and applications. The programme duration is of 10 months and after completion, the candidates will receive a certificate from IIT Madras and Great Learning and with it, tangible career benefits.

The Machine Learning & Deep Learning in Python & R certification course was created by Start-Tech Academy and is available on Udemy for candidates searching for a comprehensive machine learning and deep learning training program that will help them start a successful career in the fields of data science, deep learning, machine learning, Python, or R programming. The Machine Learning & Deep Learning in Python & R online course provides the methodologies for creating predictive models in R programming and Python to address business challenges and establish a business strategy.

Machine Learning & Deep Learning in Python & R online classes by Udemy contains 33 hours of HD video lectures as well as 5 articles covering subjects such as decision trees, KNN logistic regression, random forest, SVM, linear discriminant analysis, data collecting, and data preprocessing. This course also includes a portion that discusses all of the actions that should be taken when solving a business problem using a linear regression model.

Machine Learning & Deep Learning in 31.5hrs online certifications is developed by Mario Favaits - Certified AI Professional & Trainer and is offered by Udemy which is designed for those who want to learn the fundamentals of machine learning and deep learning to become certified data scientists. The Machine Learning & Deep Learning in 30hrs online course by Udemy takes a practical approach, using a logical sequence to help participants understand data science and machine learning principles effectively.

As no prior knowledge of coding is required, the Machine Learning & Deep Learning in 30hrs online classes begin with the fundamentals of linear algebra, calculus, and statistics. This course aims to give students a thorough understanding of topics such as artificial intelligence, machine learning, unsupervised learning, neural networks, computer vision, data augmentation, backpropagation, and random forest, as well as various data science tools such as Python, Pandas, Keras, and Colab.

The course provided by Edureka in Machine Learning with Mahout Certification Training will help the participants lay a strong foundation for themselves in the study of fundamental machine learning techniques which consists of a broad range of algorithms of k-means clustering, Support Vector Machines, Mahout on Amazon EMR and Hadoop, Collaborative filtering to recommendation system as well as Random Forests. 

Since in the current digital market there has been an exponential increase in the amount of data available, the markets are in demand of professionals who can turn vast amounts of data into reliable and useful information, without taking a lot of time. 

This course will help the candidates master skills that are demandable in the market of today by providing training through various efficient study materials. Expert guidelines will also be granted to the students for clarifying queries as soon as they arise. This course covers basic education about Java and Hadoop, so even freshers are welcome to apply.

The Deep Learning course (with Keras and Tensorflow) certification training course, will educate participants on deep learning concepts and models using Keras and TensorFlow frameworks, to carry out deep learning algorithms. The Deep Learning course (with Keras and Tensorflow) certification training online provides blended learning, industry projects, and dedicated project mentoring sessions from industry experts that will help you prepare for a career as a Deep Learning engineer.

The Deep Learning course (with Keras and Tensorflow) certification training offers you a competitive edge in solving applications without human intervention. The training provides you with ways of expanding the limits of what a computer system can accurately inspect. The Deep Learning course (with Keras and Tensorflow) certification training online will help you differentiate between Deep Learning, Machine Learning, and Artificial Intelligence.

Deep Learning course (with Keras and Tensorflow) certification training by Simplilearn benefits IT developers and testers, data analysts, junior data scientists, analytics professionals, software engineers, statisticians, students, and professionals indulging in data across every field. The Deep Learning course (with Keras and Tensorflow) certification training online will help the candidates in creating deep learning models to interpret the results in building a deep learning project. 

20+ End-To-End Machine Learning Projects & Deployment online course aims to teach beginners and intermediate data science enthusiasts the most efficient ways to deploy machine learning models while practicing on projects to gain a better understanding of the course. The course is designed for the participants who want to master machine learning with python programming and utilize it for data analysis operations and become professional data scientists. This course will show them how to deploy their machine learning models in the cloud the way the industry does it.

20+ End-To-End Machine Learning Projects & Deploymentonline certification is created by Mr. Britt - Data Scientist, Product Manager & Instructor and is made available through Eduonix, an educational organization that provides learning materials for skill development to individuals who want to advance in their careers. Participants who wish to enroll in the 20+ End-To-End Machine Learning Projects & Deployment online training are advised to have a basic knowledge of Python Programming and machine learning to make their learning more efficient and effective. 

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.

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 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.

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.

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.

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.

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.

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 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.

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.

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.

The art of data storytelling involves effectively conveying insights from a dataset through stories and visualizations. It has the potential to motivate your audience to take action by putting data insights into context. Data storytelling makes the data come to life and makes sure the message it is delivering is important and pertinent. Joshua Brind0ley, a data visualization expert, designed the Data Storytelling and Data Visualization [2022] online certification, which is provided by Udemy.

Data Storytelling and Data Visualization [2022] online training contain more than 5.5 hours of lectures supported by 2 articles, 3 downloadable resources, and assignments geared toward participants who want to produce impactful data communications and data visualizations for data analytics and data science. Data Storytelling and Data Visualization [2022] online classes discuss topics like data storytelling, data graphs, data visualization, visual design, graph design, narration, and more to drive response with data-driven judgments.

Data storytelling is the art of using narratives and visualizations to effectively convey insights from a dataset. It could be used to put data and insights into the frame of reference and motivate your audience to act on them. How to tell a story with data certification course is created by Mike X Cohen - Neuroscientist, writer & professor, which is offered by Udemy for applicants who are willing to develop their skills in storytelling using data to advance in their professional careers.

How to tell a story with data online training provides 1.5 hours of virtual lessons along with 2 articles, downloadable resources, and quizzes that aim to help the applicants how to engage their audience and help them remember the key points of their data graphs. How to tell a story with data online course covers topics like data stories, data storytelling, and presentation as well as discusses the methodologies and concepts involved with the 5 stage arc of storytelling.