List of Online Courses and Certifications

Google Colaboratory is a free, in-browser interactive programming environment that supplies deep learning researchers and engineers with an immersive and simple platform to collaborate on their data science projects. Google Colab allows anyone to compose and run arbitrary Python scripts in the browser, making it ideal for machine learning and data analysis. Minerva Singh - Instructor & Data Scientist developed the Complete PySpark & Google Colab Primer For Data Science certification course, which is available on Udemy.

Complete PySpark & Google Colab Primer For Data Science online training incorporates 4.5 hours of comprehensive lecture accompanied by articles and downloadable resources and is intended for individuals who want to use the capabilities of Google Colab for working with PySpark and Python-based AI modeling. The Complete PySpark & Google Colab Primer For Data Science online course discusses the methodologies involved with data processing, statistical analysis, correlation analysis, statistical modeling, and much more.

An early diabetes diagnosis can result in better management of the condition. The early diagnosis of the disease is frequently accomplished using data mining techniques. The relationship between the various attributes is also described in this research paper, which uses significant attributes to predict diabetes. The School of Disruptive Innovation, a company that develops innovative learning solutions for the digital age, created the Data Science: Hands-on Diabetes Prediction with Pyspark MLlib certification course, which is made available by Udemy.

Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online course is an hour-long program that teaches students all the methods and ideas necessary to create, train, experiment, and assess machine learning models capable of identifying diabetes using logistic regression. Data Science: Hands-on Diabetes Prediction with Pyspark MLlib online classes include a variety of carefully crafted and designed tasks centered around data cleaning, diabetes datasets, logistic regression, performance evaluation, and Spark MLlib.

Pyspark is a big data application that employs the Python programming language for real-time streaming and offers a better and more effective way to perform all types of calculations. PySpark for Data Science - Beginners online certification is developed by Exam Turf - an educational organization that provides competitive exam preparation and test series, which is delivered by Udemy for the candidates who want to master the concepts involved with data science using PySpark to become PySpark developers, and data scientists.

PySpark for Data Science - Beginners online training is a short-term training program that involves 2.5 hours of prerecorded lectures to educate candidates about the fundamental ideas and procedures related to PySpark for data science activities. With PySpark for Data Science - Beginners online course, candidates will be taught about big data, Spark, and Python as well as will be taught about the concept of resilient distributed datasets and other fundamental capabilities and terminologies employed in the particular instance of Spark

The Data Science Bootcamp by Caltech is designed for working professionals providing thorough training in Data Science. This online certification course comprises a blend of theory, case studies and extensive hands-on practise that enables students to master the Data Science concepts and tools. With this Data Science online course, students will be exposed to data structure and data manipulation and the use of linear and non-linear regression models and classification techniques for data analysis. The Data Science Bootcamp syllabus consists of core courses and electives in Business Analytics with Excel, SQL Training, Power BI, and Deep Learning.

The Data Science Bootcamp by Caltech features the superiority of Caltech's academic eminence. This Data Science training programme provides critical Data Science concepts such as R programming, Python programming, Deep Learning, Machine Learning, and Data Visualization tools. Students can attend the Data Science Bootcamp classes through an interactive learning model with live sessions and masterclasses conducted by Caltech faculty and IBM experts.

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 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. 

The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

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.

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. 

Machine Learning: Regression is a certification programme offered completely in the online mode. In the course by the University of Washington, the students will be exposed to machine learning, particularly regression. Machine Learning: Regression Certification Syllabus will talk about regression which is predictive modelling in machine learning that will help to foresee the outcomes analyzing the algorithm. 

In the Machine Learning: Regression Certification Course, offered by Coursera, the candidates will learn the regression based on the case study of the ‘Predicting Housing Prices’ where the students will come up with a model that will predict a continuous value/price based on the input features such as a number of bathrooms, bedrooms, etc. Machine Learning: Regression Certification by Coursera is the second in the four courses of Machine Learning Specialization. 

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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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