Page 53 - Best Online IT Software Courses & Certifications 2026

Offered by

Stanford via Coursera

Certificate

Supervised Machine Learning: Regression and Classification

Machine Learning is a highly demanded skill in the 21st Century. ML is the application of Artificial Intelligence that provides systems with the ability to learn and improve from experience, without any explicit programming and human intervention. It is the study of computer algorithms that automatically improve through experience. ML has now become an integral part of our lives, and data science and AI professionals are looking to upskill in this. In Coursera’s Machine Learning training course, you will learn the most effective ML techniques and gain experience in their practical applications with precision.

The Coursera Machine Learning programme teaches the extensive theories behind Machine Learning so that you can quickly learn to apply the techniques to new problems. Besides Machine learning, this course also provides an introduction to data-mining, artificial neural networks, logistic regression, and statistical pattern recognition.

This Machine Learning certification course is offered by Stanford University and is taught by one of the top educators of Stanford. It takes approximately 60 hours to complete this course. It has 18 modules rife with pre-recorded online lectures, readings and practice exercises for self-evaluation.

3 Weeks

Beginner

₹ 3,369

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Skills Covered:

Machine learning

Offered by

Stanford via Coursera

Certificate

Probabilistic Graphical Models 3: Learning

The Coursera Probabilistic Graphical Models 3: Learning certification course covers probabilistic graphical models, commonly known as PGMs. They are a rich framework used for encoding probability distributions over complex domains. They form the foundation of state-of-the-art methods in different applications such as speech recognition, natural language processing, medical diagnosis, image understanding, and many more. They are also instrumental in formulating many machine learning problems.

The Probabilistic Graphical Models 3: Learning training is the third course in a series of three. Where the first course focused on representation, and the second focused on inference and the final course helps in addressing questions related to learning. The course discusses the main problems of parameter estimation in both directed and undirected models.

Moreover, students can receive a course completion certificate for the Coursera Probabilistic Graphical Models 3: Learning programme. Candidates can attach the certificate to their LinkedIn profile or their resume/CV.

3 Weeks

Expert

₹ 5,029

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Skills Covered:

Knowledge of Algorithms

Offered by

IBM via Coursera

Certificate

Machine Learning Rapid Prototyping with IBM Watson Studio

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is 100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

3 Weeks

Intermediate

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Skills Covered:

Machine learning

Offered by

Polytechnic University of Milan, Milan , EIT via Coursera

Certificate

Advanced Recommender Systems

Machine Learning finds widespread application in providing recommendations and making better predictions in software by deploying opinions from users and constructing a model automatically while eliminating the need to consider all the details of that model. Advanced Recommender Systems Certification by Coursera will expose learners to advanced machine learning techniques that can be used to create sophisticated recommender systems.

Offered by EIT Digital and Politecnico di Milano, both of which are top-ranked in their respective domain, this course boosts one's creativity and innovation skills and implores them to think beyond the thinkable. Advanced Recommender Systems Certification Syllabus will deal with the management of hybrid information and a combination of various filtering techniques. This course will ensure that learners derive the best from each approach taught to them.

At the course conclusion, candidates will have been well acquainted with factorisation machines and how to represent input data accordingly. They will learn all the essential methods that can be used to solve the cross-domain recommendation problem. Finally, identifying new challenges and trends in giving recommendations for numerous innovative application contexts will also be highlighted in Advanced Recommender Systems Certification Course.

3 Weeks

Intermediate

Compare

Skills Covered:

Mathematical skill

Offered by

Google via Coursera

Certificate

End-to-End Machine Learning with TensorFlow on GCP

End-to-End Machine Learning with TensorFlow on GCP is the successor of the first course Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization. This programme is included in a 5-course specialization that focuses on the topics of advanced machine learning that uses Google Cloud Platform. This course would give real-life experience by improving, establishing, and measuring production.

Through this course, the candidates would learn to build innovative, correct, and manufacturing-ready models for organised data, time series, natural language text, and image text. The course will end on recommendation systems. This programme does not have any schedule adherence; the candidates can look at the study materials according to their availability. Along with theoretical concepts, the candidates would also learn about the practical approach of advanced machine learning.

3 Weeks

Expert

₹ 2,967

Compare

Skills Covered:

Machine learning Knowledge of cloud computing

Offered by

Sungkyunkwan University, Seoul via Coursera

Certificate

Machine Learning Basics

3 Weeks

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Offered by

University of London, London via Coursera

Certificate

Machine Learning for All

3 Weeks

Beginner

₹ Free

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Offered by

IBM via Coursera

Certificate

Machine Learning Introduction for Everyone

3 Weeks

Beginner

₹ Free

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Offered by

IBM via Coursera

Certificate

Data Engineering and Machine Learning using Spark

3 Weeks

Beginner

₹ Free

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Offered by

SAS Institute via Coursera

Certificate

Four Rare Machine Learning Skills All Data Scientists Need

3 Weeks

Expert

₹ Free

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Offered by

Sungkyunkwan University, Seoul via Coursera

Certificate

Using R for Regression and Machine Learning in Investment

3 Weeks

Intermediate

₹ Free

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Offered by

Johns Hopkins via Coursera

Certificate

Regression Models

3 Weeks

₹ 4,117

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Offered by

Sungkyunkwan University, Seoul via Coursera

Certificate

Machine Learning Algorithms

3 Weeks

₹ Free

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Offered by

Accenture via Futurelearn

Certificate

Digital Skills: Reimagine Your Career

3 Weeks

₹ Free

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Offered by

IBM via Coursera

Certificate

Introduction to Enterprise Computing

3 Weeks

Beginner

₹ 6,638

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Offered by

Polytechnic University of Milan, Milan via Coursera

Certificate

Being a researcher (in Information Science and Technology)

3 Weeks

Beginner

₹ Free

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Offered by

ISMMS New York via Coursera

Certificate

Big Data Science With The Bd2k-Lincs Data Coordination And Integration Center

The Library of Integrative Network-based Cellular Signatures (LINCS) is an NIH Common Fund programme. The aim is to perturb various types of human cells with different types of perturbations, genetic manipulations, and more. The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center provides you with extensive knowledge of the functionality of LINCS and its practical application.

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online course aims to familiarise students with molecular networks which are affected by these disturbances. The curriculum includes different variables of measurement, like mRNAs, proteins, metabolites, and cellular phenotypic changes. The BD2K-LINCS Data Coordination and Integration Center (DCIC) provides this data along with other publicly available relevant resources.

The Big Data Science with the BD2K-LINCS Data Coordination and Integration Center online programme also includes computational methods such as gene-set enrichment analysis, data clustering, interactive supervised learning, and data visualization. Candidates can also work on crowdsourcing or citizen-science projects in this 100% online training.

3 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

Knowledge of Big Data Knowledge of bioinformatics

Offered by

EIT via Coursera

Certificate

Foundations of mining non-structured medical data

The main aim of the Foundations of mining non-structured medical data certification course is to offer education regarding the structure of big data that is generated in the health sector. The course provides information that can help the participants of the relevant field to extract important data from the big data that can be later used in different departments of the health domain.

The course is an online programme that can be pursued for free for those who cannot afford the course fee every month. Those who can afford the fee can take the subscription of the course. The Foundations of mining non-structured medical data certification syllabus needs only 6 hours of time to complete it entirely.

This beginner-level course offers self-paced learning through which students can choose their own timings and do not have to follow any specific guidelines for the video sessions, admission, or attendance percentage. Those participants who take up the subscription of the course will have access to the graded assignments and quizzes. Participants will also be able to attain a Foundations of mining non-structured medical data online course of the programme.

3 Weeks

Beginner

Compare

Skills Covered:

Knowledge of Data mining Knowledge of NLP Modelling

Offered by

Duke University, Durham via Coursera

Certificate

Managing Big Data with MySQL

Managing Big Data with MySQL certification is offered by Duke University by associating with the online education provider platform Coursera. This course is offered as part of the Specialization - Excel to MySQL: Analytic Techniques for Business. Taking around 27 hours to get completed, this certification is course 4 of 5 in the specialization. To make the participant’s life easier there are 11 languages in which subtitles can be accessed.

Managing Big Data with MySQL training is basically introduced for making the participants aware of relational databases. These databases are important for conducting business analysis. The applicants shall also make entity-relationship diagrams for displaying data structures within the database. This online course is apt for participants who can help in understanding what, and how data can be captured for business purposes. It will also enlighten on the aggregation statements used by business analysts for real databases so there is no need for waiting for others to give data insights.

3 Weeks

₹ 1,699

Compare

Skills Covered:

SQL knowledge

Offered by

Korea Advanced Institute of Science and Technology, Daejeon via Coursera

Certificate

Big data and Language 2

The ‘Big data and Language 2’ online certification course is offered for the students to learn about the various aspects of the functions and features of language learning from the context of the techniques involved with big data. This language learning course is provided by Coursera and the course content is developed by the Korea Advanced Institute of Science and Technology (KAIST). This certification program is designed for the students to complete the course within an approximate period of five hours.

The instructor for this beginner-level learning English course is Seonmin Park from KAIST. The students of this course are engaged with online learning methodologies such as video lectures, reading, and practice exercises with subtitles of languages such as French, Portuguese, Russian, English, Spanish for the students from different linguistic backgrounds to access the course materials without hassle.

The candidates of this ‘Big data and Language 2’ online certification program are equipped with a course completion certificate after finishing the course of study and assessments.

3 Weeks

Beginner

₹ Free

Compare

Skills Covered:

Analytical skills Knowledge of Big Data Language skills

Offered by

Korea Advanced Institute of Science and Technology, Daejeon via Coursera

Certificate

Big Data and Language 1

3 Weeks

Beginner

₹ Free

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Offered by

Swiss Federal Institute of Technology Lausanne via Coursera

Certificate

Big Data Analysis with Scala and Spark (Scala 2 version)

3 Weeks

Intermediate

₹ Free

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Offered by

IBM via Edx

Certificate

Devops Basics for Everyone

3 Weeks

Beginner

₹ Free

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Offered by

CloudSwyft Global Systems, Inc , Microsoft Corporation via Futurelearn

Certificate

Microsoft Future Ready: Azure Cloud Fundamentals

3 Weeks

Beginner

₹ 1,114

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Offered by

Hong Kong University of Science and Technology, Hong Kong via Coursera

Certificate

Understanding China, 1700-2000: A Data Analytic Approach, Part 2

3 Weeks

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Offered by

UW Washington via Coursera

Certificate

Social Media Data Analytics

3 Weeks

Intermediate

₹ Free

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Offered by

SUNY via Coursera

Certificate

Data Analytics in Sports Law and Team Management

3 Weeks

Beginner

₹ 4,117

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Offered by

Polytechnic University of Milan, Milan via Coursera

Certificate

Platform Thinking: exploiting data through platforms

3 Weeks

Beginner

₹ 4,117

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Offered by

Google via Coursera

Certificate

Building No-Code Apps with AppSheet: Implementation

3 Weeks

Intermediate

₹ 4,117

Compare

Offered by

Northeastern University, Boston via Coursera

Certificate

Data Privacy Fundamentals

3 Weeks

Beginner

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