4016 Courses and Certifications

Online IT Software Courses & Certifications

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Data Visualization with Python

Offered by

Certificate

Data Visualization with Python

The Data Visualisation with Python course, offered by IBM via Coursera, is designed to teach learners how to use Python for creating compelling data visualisations. This course focusses on various Python libraries and tools that are essential for data visualisation, making it suitable for those who want to enhance their data analysis skills. Data Visualisation with Python certification course, offered by IBM has total duration of 20 hours and learners can complete the Data Visualisation with Python certification course at their own pace. 

Students will learn the implementation of data visualisation techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story along with generating interactive dashboards, creating different types of charts and others, during the completion of Data Visualisation with Python course, offered by IBM via Coursera. A sharable certificate will be provided. Data Visualisation with Python certification course is available in English and 22 other languages with 11 quizzess and one assignment.

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5 Weeks
Intermediate
4,122
Skills Covered:
Knowledge of Python Knowledge of Data Visualization
Natural Language Processing

Offered by

Certificate

Natural Language Processing

The ‘Natural Language Processing’ online certification course is provided for the eligible students to equip themselves with the advanced skills of NLP for everyday tasks, suggest outlooks, and identify the optimum techniques. This online free course is provided by Coursera online education platform and the curriculum is developed by the HSE University. The course duration is designed to be completed in thirty-two hours and the students are allowed to work with flexible deadlines.

The course instructors for this online training are academic and industrial professionals Anna Potapenko(Researcher), Alexey Zobnin(Associate Professor), Anna Kozlova(Team Lead), Sergey Yudin(Analyst-Developer), etc. This course is part of the Advanced Machine Learning Specialization and enables participants to learn using course content provided with subtitles in Arabic, French, Portuguese, Italian, Vietnamese, Korean, German, Russian, English, Spanish, and other practical learning methodologies.

The ‘Natural Language Processing’ online training program helps students receive a course certificate that is shareable online after finishing the course study, assessments, and tests.

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5 Weeks
Expert
Free
Skills Covered:
Natural Language Processing Machine learning Knowledge of deep learning

Offered by

Certificate

Android Basics: Networking

The Android Basics: Networking program is designed for beginner-level students which can be accessed through the platform named Udacity. The course is available as a free program. Students who register for this online course will gain valuable insights on how to make apps for android mobiles. The course will be supervised by two industry professionals. The course is carried out on a self-paced basis which makes students decide their study schedules depending upon their preferences. The flexible timings of the program allow the participants to complete the course without any restrictions and deadlines. The Android Basics: Networking certification syllabus of the online program can be completed in the time period of five weeks.

The study material for the entire Android Basics: Networking certification course is already available in the program, however, students are free to use the external reading materials. The students will be able to receive a certification when the entire program is over. The Android Basics: Networking online course also comprises quiz sessions and assessments for students other than the video lectures. In order to join the course, students do not require any specific qualifications or work experience. 

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5 Weeks
Beginner
Free
Skills Covered:
Knowledge of Android Software Development

Offered by

Certificate

Elastic Google cloud infrastructure: scaling and automation

The Elastic Google cloud infrastructure: Scaling and automation course by Coursera has been designed for computer enthusiasts who wish to know more about the comprehensive infrastructure of Google Cloud, along with its many platform services. The course is meant for those who are familiar with the fundamentals of Cloud and wish to learn further. 

The Coursera Elastic Google cloud infrastructure course explores and uses solution elements, that also include load balancing, securely interconnecting networks, infrastructure automation, auto-scaling and managed services. It dives deep into these processes to give a holistic experience about Google cloud and its various elements. 

Furthermore, the Coursera Elastic Google cloud infrastructure: Scaling and automation programme is an online, self-paced learning course allowing students to set convenient deadlines and learn at their speed. You will be learning through a combination of video lectures, demos, and hands-on lab experience to become skilled in the services and performance of Google Cloud.

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5 Weeks
Intermediate
4,115
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

API Design and Fundamentals of Google Cloud's Apigee API Platform

Application Programming Interface (API) can ensure a faster code. Thus, it is necessary to have consistently designed APIs. This course named, “API Design and Fundamentals of Google Cloud’s Apigee API Platform” is the first one from the three-course series, and is thus an important foundation. 

The API Design and Fundamentals of Google Cloud’s Apigee API Platform course of Coursera introduces you to API Design and the fundamentals of the Apigee platform. The second course is aimed at API security. The third and the last one focuses on the additional API developmental topics. 

Here you will be taught how to design APIs and the best ways you can utilize OpenAPI specifications to document them. You will learn about the aspects of the API lifecycle, and understand how the Apigee API platform assists you in managing all the facets of the life cycle. You will also learn how the APIs can be designed by using API provides and how APIs are encased as products that can be further used by app developers.

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5 Weeks
Beginner
3,275
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Exploring Data Transformation with Google Cloud

5 Weeks
Beginner
3,277
How to Win a Data Science Competition Learn from Top Kagglers

Offered by

Certificate

How to Win a Data Science Competition: Learn from Top Kagglers

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

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5 Weeks
Expert
3,686
Skills Covered:
Predictive Modeling knowledge

Offered by

Swiss Federal Institute of Technology Lausanne , Databricks via Coursera
Certificate

Applied Data Science for Data Analysts

Applied Data Science for Data Analysts is an online Databricks-offered programme designed for intermediate-level learners. The online certification is the final course in the three-course Data Science with Databricks for Data Analysts Specialization. Thus, to be eligible for taking the online programme, the learners must have completed the first two courses in the specialization. Applied Data Science for Data Analysts Certification Course, provided jointly by Coursera and Databricks, will help the learners to enrich their data science, and applied data science with python and machine learning skills and help the student to become masters of applied data science. 

The learners passionate about learning about apple data science can enrol and complete the Applied Data Science for Data Analysts Training within approximately 16 hours. As the Applied Data Science for Data Analysts Certification by Coursera is completely offered in the online mode, the candidates can opt for the programme at their convenience and pace from anywhere. 

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5 Weeks
Intermediate
4,091
Skills Covered:
Machine learning Data science knowledge
Applied Data Science Capstone

Offered by

Certificate

Applied Data Science Capstone

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

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5 Weeks
Intermediate
4,115
Skills Covered:
Data science knowledge Knowledge of Python
Cyber Threats and Attack Vectors

Offered by

Certificate

Cyber Threats and Attack Vectors

The Cyber Threats and Attack Vectors online course is developed by the University of Colorado and is offered by the online course provider Coursera. The course is a part of the Cybersecurity for business specialization which the candidate can finish in approximately twelve hours. The course educator for the Cyber Threats and Attack Vectors online programme is Greg Williams who is a lecturer in the department of computer science.

The Cyber Threats and Attack Vectors certification by Coursera helps the students in developing awareness of the potential threats to the security of the computer systems. It is common for hackers to get access to our data systems hence is it necessary to keep our business and data systems secure. The Cyber Threats and Attack Vectors online training which includes innovative lectures, videos, readings and quizzes which deal with the concepts of cybersecurity, network and system hacks, cloud security and data breaches will provide insights on how to stay alert and keep our systems away from threats.

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5 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security Knowledge of IT industry Knowledge of Hacking concepts Knowledge of cloud computing
Introduction to Cybersecurity for Business

Offered by

Certificate

Introduction to Cybersecurity for Business

The Introduction to Cybersecurity for Business certification course is offered under the Cybersecurity for Business Specialization by the University of Colorado in collaboration with Coursera. This course is ideal for providing knowledge about computer security, its working, and its practice in different kinds of businesses. With this knowledge, the participants can secure their business networks by securing network breaches. The online course is intended for providing a practical introduction to computer security.

The course has a duration of 5 weeks, where a student will learn about computer security, CIA triad, risk in business and how to assess them, practical application of daily security and how to assess. The Introduction to Cybersecurity online course will consist of a set of videos for every topic, over 8 quizzes. Students will be provided reading material for the topics covered in the Introduction to Cybersecurity for Business course. The course will be instructed by Greg Williams, lecturer, Department of Computer Science, the University of Colorado.

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5 Weeks
Beginner
4,115
Skills Covered:
Knowledge of Cyber Security Risk Management
Cybersecurity and Privacy in The Internet of Things

Offered by

Certificate

Cybersecurity and Privacy in the

5 Weeks
Beginner
Free
Network Security Advanced Topics

Offered by

NYU via Edx
Certificate

Network Security - Advanced Topics

5 Weeks
Intermediate
Free
Information Security Advanced topics

Offered by

NYU via Edx
Certificate

Information Security - Advanced topics

5 Weeks
Intermediate
Free
Information Security Introduction to Information Security

Offered by

NYU via Edx
Certificate

Information Security Introduction to Information Security

5 Weeks
Intermediate
Free

Offered by

Certificate

Cyber Security Certification Course

Cybersecurity is the combination of practices, processes, and technologies designed to protect computers, networks, programs, data and information from unauthorized access, attack, damage, or theft. The Cybersecurity Certification Course by Edureka will help candidates understand the basic concepts of Cybersecurity as well as the methodologies and techniques that must be practised to ensure the security of an organization’s information and data assets. 

The certification course will take candidates through Application Security, Computer Networks & Security, and Data & Endpoint Security. The course curriculum also covers Cloud Security, Cryptography, Identity & Access Management, Cyber-Attacks, and numerous other security practices for businesses.

Anyone who wishes to pursue a career in Cybersecurity can take up the certification course. However, the Cybersecurity Certification online course is best suited for professionals like Linux Administrators and Networking Professionals, among others.

Furthermore, candidates will also have access to the Learning Management System (LMS), even upon completion of the Cybersecurity Certification Course. Candidates can access class recordings, presentations, quizzes, and installation guides for optimal learning. 

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5 Weeks
14,995
Skills Covered:
Knowledge of Cyber Security Knowledge of Cryptography

Offered by

Erasmus University, Rotterdam via Coursera
Certificate

Cybersecurity in Healthcare Programme

The Cybersecurity in Healthcare Online course will teach us about the opportunities and how digitalisation in healthcare sector services has created challenges. How the growth of medical data has become a prime target of cybercrime. The Cybersecurity in Healthcare Training will help raise awareness about the role of cybersecurity in the healthcare sector. 

The Cybersecurity in Healthcare Certification by Coursera will be held for 5 weeks and will be instructed by the associate professor of Erasmus University Rotterdam, Jason H. Pridmon and Tessa A.P. Oomen Ph.D candidate. The course provides valuable resources and information about cybersecurity and the ways to deal with issues faced in the cyber world.

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5 Weeks
Beginner
2,435
Skills Covered:
Knowledge of Cyber Security
CompTIA Security Certification Training

Offered by

Certificate

CompTIA Security+ Certification Training - SY0-601 Exam

The CompTIA Security+ Certification Training - SY0-601 Exam online course is a globally acclaimed 5 weeks online certification course that is a joint initiative of CompTIA Security+ and Edureka. The training is created to identify and handle various security-related breaches.

The CompTIA Security+ Certification Training - SY0-601 Exam syllabus is prepared to meet the industry benchmarks and help students master the foundational skills for a career in the IT security industry. This online course will also impart knowledge on the principles of installing and configuring and participating in incident response and risk mitigation while there is a cyber threat happening.

The CompTIA Security+ Certification Training - SY0-601 Exam training encourages candidates to validate their skills in risk management, risk mitigation, threat management, and intrusion detection. Doing so will help in the knowledge acquisition, and also cause an increase in the student’s employment opportunities in flourishing MNC’s.

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5 Weeks
39,999
Skills Covered:
Troubleshooting Risk Management
Using Machine Learning in Trading and Finance

Offered by

New York Institute of Finance, New York , Google Cloud via Coursera
Certificate

Using Machine Learning in Trading and Finance

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques. 

In the online programme on  Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions. 

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of-  Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

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5 Weeks
Intermediate
4,115
Skills Covered:
Machine learning
Sample Based Learning Methods

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Sample-based Learning Methods

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

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5 Weeks
Intermediate
6,634
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Prediction and Control with Function Approximation

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Prediction and Control with Function Approximation

Reinforcement learning is a machine learning method that helps to understand how the software agents should take actions according to the situations and requirements. Helps solve all the problems that have large or high dimensional and potential limitless spaces available. It helps one to investigate how policy prediction and evaluation methods like TD and Monte Carlo can be used to help function approximation settings. 

Prediction and Control with Function Approximation certification course by Coursera include features construction techniques for representational learning through a neutral network, RL and backdrop. This course is designed for the candidates who have completed the first and the second part of the reinforcement learning and specialization training as it is a continuation of the same.

By doing the Prediction and Control with Function Approximation training course they will be a field ready and gain knowledge that will help them master their skills and help upgrade their portfolio which will, in the end, help them towards their successful career. 

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5 Weeks
Intermediate
6,634
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Getting Started with Amazon Web Services Machine Learning

Offered by

Certificate

Getting Started with AWS Machine Learning

Amazon Web Services (AWS), the most comprehensive and vastly adopted cloud platform across the globe, is a fast, easy and cost-efficient platform to build ML applications. The AWS Machine Learning offers tools and services which cater for the developers and organisations to build ML models more efficiently. Globally, AWS Machine Learning is used by developers to build ML models that can test product designs, assess property damages, improve healthcare operations, analyse customer behaviour, fraud detection and much more.

Getting Started with AWS Machine Learning certification course is an online offered by AWS through the Coursera platform. This certificate programme will assist the participants to gain familiarity and working knowledge of AWS Machine Learning. The course content spreads over 5 weeks and includes module videos covering almost every significant aspect of machine learning. Participants will receive a shareable certificate upon completion of this online certificate programme.

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5 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Artificial Intelligence
Introduction to Deep Learning and Neural Networks with Keras

Offered by

Certificate

Introduction to Deep Learning & Neural Networks with Keras

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems. 

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5 Weeks
Intermediate
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
PyTorch Basics for Machine Learning

Offered by

IBM via Edx
Certificate

PyTorch Basics for Machine Learning

The PyTorch Basics for Machine Learning certification programme is offered by IBM to arm you with the skills for implementing classic machine learning algorithms. You will get to know how PyTorch is used to optimise and create deep learning models. 

During the PyTorch Basics for Machine Learning training, you will learn important models such as linear and logistic regression models. This introductory-level programme will teach you how to train your models and their related concepts like gradient descent, cost and loss.

With the learnings of edX’s PyTorch Basics for Machine Learning course, you will learn to save your training and model in apps like checkpoints, early stopping and cross-validation for hyperparameter selection. Also, basics around the linear object, like their interaction with data with a distinctive number of samples and different dimensions, will be cleared.

The PyTorch Basics for Machine Learning course also includes a final project in the end to assess your skills and performance. You can even get a paid instructor-signed certification after completing the course. The learners also can audit the self-paced programme without paying the fee for a limited duration. 

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5 Weeks
Beginner
Free
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Numpy
IoT Networks and Protocols

Offered by

Certificate

IoT Networks and Protocols

The IoT Networks and Protocols training is designed by Curtin University in collaboration with edX to provide knowledge about IoT. This is a short-term accreditation that will go on for five weeks. It is developed for individuals starting in the field. 

With a primary focus on how IoT works, this course will equip you with how IoT networks operate in conjunction with the 'things'. The IoT Networks and Protocols certification syllabus will cover core topics such as connection types, layer models, IoT standards, and protocols. 

The IoT Networks and Protocols certification course by edX comes under the purview of computer science. You can enrol in this course for free, but you will only get a certification if you are willing to pay a small amount. You can access the pre-recorded video lectures at convenience. 

And the best part? You will have access to its video transcripts for self-directed learning. This will enable you to learn the curriculum efficiently. 

Additionally, you will be taught by three well-qualified mentors working at Curtin University. They are highly experienced in their respective fields to provide you with a holistic learning experience. 

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5 Weeks
Beginner
Free
Skills Covered:
Knowledge of computer networking
Internet of Things Programming and Big Data

Offered by

Certificate

IoT Programming and Big Data

5 Weeks
Beginner
Free
Architecting Smart Internet of Things Devices

Offered by

Certificate

Architecting Smart Internet of Things Devices

Various software and hardware components are available currently. These pre-made products primarily help in reducing the time to market. The Architecting Smart IoT Devices by Coursera will familiarise you with these available components, such as operating systems, processor families, networks, and boards. It is an intermediate-level course that will teach you about integrating and using these components in real-time. 

The Architecting Smart IoT Devices certification syllabus will cover essential topics, such as IoT (internet of things) components, device drivers, synchronisation, device simulations, software development tools, real-time scheduling, architecting IoT devices, etc. 

Once you’re done with the course learnings, you will acquire knowledge of IoT, RTOS (real-time operating system), and debugging skills, along with the required knowledge to start implementing and architecting your embedded device. You will be able to finetune and debug your device and know how to make it operate on low power supplies.

Moreover, EIT Digital offers the Architecting Smart IoT Devices programme. It is a 100% online course with flexible deadlines, multiple subtitles, industry-expert instructors, and a valuable certification to bolster your CV. Learning through a comfortable schedule, you can adequately finish this curriculum in 33 hours. 

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5 Weeks
Intermediate
Free
Skills Covered:
Software development skills

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