15690 Courses and Certifications

Ug Certificate Courses

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Portfolio Management Theory and Practice Part 1

Offered by

New York Institute of Finance, New York via Edx
Certificate

Portfolio Management Theory and Practice Part 1

5 Weeks
Expert
23,089
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
13,514
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
3,369
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning
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
13,514
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
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
3,384
Skills Covered:
Machine 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
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Numpy
Certificate

Freedom of Expression and Information in the Time of Globalization: Foundational Course

Technology has transformed the way information is produced and distributed. It impacts societies and not only influences but defines the way we communicate. With the Freedom of Expression and Information in the Time of Globalization: Foundational Course certification by edX, you will learn about the global norms that protect our freedom of expression and information. You will study how these norms emerged over time, as technology got more advanced and how these norms transcend national and regional differences. 

Classic philosophical works on the concept of freedom of expression, international human rights laws, and significant decisions taken by national and international courts are discussed in the Freedom of Expression and Information in the Time of Globalization: Foundational Course Since this human rights course is a Columbia University offering, you will have access to case analyses from their Global Case Law Database. Other suggested readings will be available for free on the Internet. 

In addition to the recorded video lectures by Dr Agnes Callamard, there will be supplementary lectures by international experts. These lectures will add to the topics discussed in the main lectures, or address additional issues, which could not be included in the Freedom of Expression and Information in the Time of Globalization: Foundational Course certification syllabus. By enrolling in any one of the tracks namely verified and audit the students may learn the programme. During the audit track, learning is free for a limited time period whereas during the verified track learning is unlimited but paid.

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5 Weeks
Intermediate
Skills Covered:
Knowledge of law
The Science of Parenting

Offered by

Certificate

The Science of Parenting

There are a lot of rumours, disputed claims, and scientifically fraught decisions surrounding the act of parenting. Every day, some research or the other comes up with a new claim and changes how we look at parenting while adding to the confusion by making contradictory statements. The University of California, San Diego, has created The Science of Parenting online course to dispel this confusion. 

The Science of Parenting training looks directly at science and trains candidates to critically approach parenting. It covers various topics like diet, sleeping, discipline and impulse control that are central to the lives of parents. The course explores how science makes claims from correlational data that often may be far from reality. 

The short-term course on The Science of Parenting by edX is five weeks long. During the training, you will acquire critical thinking and decision-making skills and learn how to avoid errors and make sensible decisions. You can enrol in this programme for free and audit it for a limited period. The learners can also choose to purchase the verified certificate by paying the fee. 

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5 Weeks
Beginner
Skills Covered:
Discipline Parenting skills
Feminism and Social Justice

Offered by

Certificate

Feminism and Social Justice

5 Weeks
Beginner
Certificate

Deep Learning on Azure with Python: Introduction to Machine Learning

The Deep Learning on Azure with Python certification course is a five-week-long online programme designed to help you develop the critical skills required of a Machine Learning Engineer. You will understand the intricate workings of Deep Learning during this programme. You will also know about the Data Science skills needed to build Machine Learning (ML) models.

Throughout the Deep Learning on Azure with Python online programme offered by FutureLearn, you will explore how ML enables you to build complex systems. Also, you will know about its broad spectrum of applications, including medical diagnosis, self-driving cars, etc.

For building ML models during FutureLearn’s Deep Learning on Azure with Python online course, you will use Microsoft Cognitive Services on the MS Azure cloud platform. Python programming shall be used for this purpose. You will get hands-on experience and a thorough introduction to the field of Machine Learning with practical examples. Moreover, by obtaining the course certificate, you can prove to your future employers that you are job-ready and skilled in this field. 

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5 Weeks
900
Skills Covered:
Knowledge of deep learning Knowledge of Artificial Intelligence Data science knowledge Machine learning Knowledge of Python
Analyzing Data with Python

Offered by

IBM via Edx
Certificate

Analyzing Data with Python

Analyzing Data with Python certification course is designed by IBM and taught by Joseph Santarcangelo - PhD., Data Scientist at IBM, which is delivered by edX, which is targeted at the students looking for a comprehensive learning environment that could assist in their mastery of the concepts and methods required to develop the skills necessary for analyzing data with the Python programming language. Students who are interested in enrolling in the Analyzing Data with Python online classes by IBM and edX should be familiar with the fundamentals of programming in Python.

Analyzing Data with Python online training is a 5-week learning program that includes approximately 2-4 hours of extensive video-based materials that cover topics such as data loading, data manipulation, data preparation, data cleaning, linear regression, data visualization, ridge regression, polynomial regression, and machine learning models. Students who successfully finish the verified version of this program will also receive a skill badge that validates their knowledge and skills. This self-paced programme free course and they learners can upgrade it to the verified mode and get certification by paying the course fee. 

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5 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Python Decision making skills Machine learning Statistical skills Knowledge of Data Visualization
Python Functions, Files, and Dictionaries

Offered by

Certificate

Python Functions, Files, and Dictionaries

The Python Functions, Files, and Dictionaries certification course by Coursera introduces user-defined functions and the dictionary data structure. In the curriculum, you will learn about global and local variables, optional and keyword parameter-passing, lambda expressions, named functions, and Python’s sorting function as well. You will also learn how to pass in another function as an input, to control the sorting order. 

The course also includes a final project, where you will have to read social media data from a file, write out .csv files, and compute sentiment scores. The course covers chapters 10 to 16 of the ‘Fundamentals of Python Programming’ textbook, which is available for free as the programme’s accompanying text.

Suppose you have already taken up the Python Basics course, and want to expand your knowledge of Python. In that case, the Python Functions, Files, and Dictionaries training is ideal for you. Both these courses are geared towards new students of Python programming. Those who have had some exposure to Python, need a refresher, or wish to dive deeper into it, will also get benefitted from this course.

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5 Weeks
Beginner
3,369
Skills Covered:
Knowledge of Python
Computing in Python II Control Structures

Offered by

Certificate

Computing in Python II Control Structures

Computing in Python II: Control Structures by edX tries to go deep into the programming world. It tries to build on the existing knowledge of operators and variables. This is neatly organized into five sections. The learners will be able to write complex programmes in Python and get Computing in Python II: Control Structures certification benefits. This certification syllabus ensures faster and more complex computing in Python ability for the learners.

The course by edX is distributed evenly in several parts. The course proceeds in short video lectures. It will have tests such as multiple choice questions and problems in coding. Computing in Python II: Control Structures certification course is a self-paced online programme. It is an introductory-level course. It offers 90% financial assistance to those learners who earn a low income annually. 

The verified learners will benefit from a verified Computing in Python II: Control Structures certificate. The Certificate of Computing in Python II: Control Structures training will have the logo of The Georgia Institute of Technology. The candidates will be learning the course either in the verified mode or the audit mode. The audit track supports course material viewing only for a limited time and the verified track mode supports unlimited course material viewing.

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5 Weeks
Beginner
Skills Covered:
Programming skills Knowledge of Python
Computing in Python I Fundamentals and Procedural Programming

Offered by

Certificate

Computing in Python I: Fundamentals and Procedural Programming

The Computing in Python I: Fundamentals and Procedural Programming certification course by edX is the beginning course for the candidates who are new to this programming language. It covers the basics of the processes involved in the process of compiling and debugging the code such as how a computer interprets a line of code, and how to write, run and take the output of the code. 

Computing in Python I: Fundamentals and Procedural Programming online course will train the candidates to write small programs in Python that use concepts like logical and mathematical operators. Gradually, the students will learn to program for complex problems. The Python course makes the candidates practice and solve more coding problems.

Computing in Python I: Fundamentals and Procedural Programming training consists of both audit and verified tracks. The audit track is free for the candidates to learn completely. The certification is provided only to the verified track students. The certificate awarded is verified by the student’s identification. This course is shareable and has the logo of Georgia Tech and the instructors’ signature. The candidates will be learning in a self-paced mode with limited access during the audit mode and during the verified mode, the candidates will get unlimited access.

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5 Weeks
Beginner
Skills Covered:
Knowledge of Python

Offered by

Certificate

Automating Real-World Tasks with Python

The online certification course on Automating Real-World Tasks with Python by Coursera has been developed by Google in accordance with Coursera is a 100% online course that has the level fixed as a beginner. While availing of the session the students will get to be trained by the professionals and experts of Python language. 

In the Automating Real-World Tasks with Python certification syllabus the students will be covering the topics of-  Data Serialization, Data Serialization Formats, More About JSON1, Useful Operations for Python Requests, Sending the Email Through an SMTP Server, Adding Graphics to our PDFs1, Adding Tables to our PDFs, Introduction to Generating PDFs, Project Problem Statement and others. 

By devoting a time period of 16 hours the course can be easily completed by the students. After completing the course the students will learn to use the Application Programming Interfaces (APIs) to interact with web services.

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5 Weeks
Beginner
Skills Covered:
Knowledge of Python

Offered by

Certificate

Crash Course on Python

The Crash Course on Python certification is based on an online teaching method and provides a free of cost programme to learn from. Participants who enroll in the online training will acquire information regarding programming, its features and benefits, and program writing with the help of Python. 

The Crash Course on Python certification is designed for beginner level students and lays the foundation for writing programs by Google in participation with Coursera. The course does not require any degree or experience in order to be able to pursue the programme. The online programme allows the candidates to learn from the course on their own schedules and requirements. The content of the Crash Course on the Python certification syllabus is divided into five weeks, and approximate 20 hours to learn from the course successfully. 

The program can be accessed in English, however, there are subtitles that are available in eight different languages - French, Spanish, Portuguese (European), Vietnamese, Russian., and more. The course will be mentored by the instructors who are industry experts and professionals. By the time the Crash Course on Python training course comes to an end, learners will be able to acquire a certificate at the end of the program by following the required procedure.

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5 Weeks
Beginner
Skills Covered:
Knowledge of Python
Certificate

Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning

A part of FutureLearn's Advanced and Applied AI on Microsoft Azure ExpertTrack; the Microsoft Future Ready certification course aims to help you prepare for the various Microsoft Microcredentials. This is a data science course that runs for five weeks. 

The Microsoft Future Ready certification syllabus has been divided into weeks, steps, and activities you can pursue at your own pace. During this course, you will gain industry-specific knowledge of Python programming and machine learning through theoretical as well as practical experience. 

You will become adept at developing, validating, and deploying different types of machine learning models in the Microsoft Future Ready course. This course will also help you understand complex data relationships using Python and Azure Notebooks to derive insights effectively. 

Besides, once you complete all the steps in the Microsoft Future Ready online course, you'll be eligible for a digital certificate to verify your machine learning knowledge and skills. 

...Read More
5 Weeks
900
Skills Covered:
Machine learning

Offered by

National Institute of Electronics and Information Technology, Chennai
Certificate

Online Certification Course in Deep Learning using Tensorflow 2 and Keras

Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by the National Institute of Electronics and Information Technology is a foundational course aimed at imbuing within students various Deep Learning skills and algorithm evaluation performances for multiple applications. It touches on machine learning, natural language processing (NLP), and programming languages that guarantee a career in AI.

The course is spread across five weeks and filled with several theory and practical learning modules. Moreover, the Online Certificate Course in Deep Learning using Tensorflow 2 and Keras by NIELIT also covers Cloud Computing, Internet of things (IoT) and Data Analytics. It includes case studies and projects which are industry-relevant. A course completion certificate is also provided to candidates towards the end of the programme.

Mr Ripunjay Singh is the instructor of NIELIT’s Online Certification Course in Deep Learning using Tensorflow 2 and Keras programme. Candidates need to dedicate one hour on weekdays from 3 PM to 4 PM. Candidates are selected on a first-come, first-serve basis.

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5 Weeks
2,000
Skills Covered:
Programming skills Knowledge of deep learning Data science knowledge Machine learning
Deep Learning with Tensorflow

Offered by

IBM via Edx
Certificate

Deep Learning with TensorFlow

A considerable amount of the world’s data is unstructured, including text, sound, images, etc. By joining the Deep Learning with TensorFlow certification course, you will learn how Deep Learning can be applied with TensorFlow to this kind of data and solve real-life problems. You will study the main functions, execution pipeline, basic concepts and operations of TensorFlow.

During the 5-week duration of the Deep Learning with TensorFlow online program, you will explore various kinds of Deep Architectures, like Autoencoders, Recurrent Networks, and Convolutional Networks. Also, you will learn how to implement TensorFlow for backpropagation to adjust the biases and weights while training the neural networks.

With the help of edX’s Deep Learning with TensorFlow course, you will learn how TensorFlow can be used in regression, minimizing error functions, curve fitting and classification. The course offers you free access to its contents for a limited duration and you can also get the option to avail of a professional certificate on completion after paying the prescribed fee. 

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5 Weeks
Intermediate
Skills Covered:
Statistical skills Knowledge of deep learning
C Programming Getting Started

Offered by

Certificate

C Programming: Getting Started

The C Programming: Getting Started Online Course will provide learners with the basic principles of C programming, which is considered one of the most popular programming languages. The learners will get the opportunity to use a browser tool and test their hands-on coding skills to learn and improve through practical applications.

The C Programming: Getting Started Training Course is taught over 5 weeks in a self-paced manner. The course is instructed by Petra Bonfert-Taylor, Professor at Dartmouth College, and Remi Sharrock, Professors at IMT. This programming course is the first course in the C Programming with Linux Professional Certificate programme.

The C Programming: Getting Started Certification course requires 4 to 5 hours weekly for learners to understand the concepts properly. The course receives financial support from the Patrick & Lina Drahi Foundation. The course will be delivered through online study materials and assessed through online assignments and exams. EdX gives two options for learners to pursue the self-paced course, namely, verified and audit-free. In the verified mode, the learners can access the self-paced course unlimitedly and in the free mode, they can audit it for a limited duration. 

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5 Weeks
Beginner
Skills Covered:
Computer skills Programming skills Knowledge of Algorithms
Developing Applications with SQL, Databases and Django

Offered by

Certificate

Developing Applications with SQL, Databases, and Django

Accessing, processing, and presenting data are the essentials of application development. Data is usually stored in databases, either on the cloud or on-premise. Developers need to learn how to access this data via programming languages. The Developing Applications course by edX will help you get comfortable with these programming languages and introduce you to various fundamental database concepts.

The Developing Applications course starts with SQL, a powerful yet simple programming language for managing and querying data. You will also engage in hands-on cloud database experiments. Besides SQL, the course also covers other software like Django, using which you will create a full-blown web app that can persist, present, and process data.

With the Developing Applications programme, you will also learn how to work with databases using object-oriented programming through Object-Relational Mapping (ORM). All the information will be provided through video lectures, assignments, and readings. There’s also a certificate option available if you wish to showcase your skills and advance your career.

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5 Weeks
Intermediate
3,384
Skills Covered:
SQL knowledge Web application development skills
Introduction to Cloud Development with HTML, CSS JavaScript

Offered by

Certificate

Introduction to Cloud Development with HTML, CSS, JavaScript

The Introduction to Cloud Development with HTML, CSS, JavaScript online course is an IBM-based programme that has been created to help a candidate become a full-fledged cloud application engineer in the future.  The Introduction to Cloud Development with HTML, CSS, JavaScript syllabus will focus its curriculum on much of the new-age tools and languages used in the development of cloud-based applications. 

The course will cover languages that are used in front-end development such as CSS, HTML and JavaScript and learn tools that are used to keep track of project changes such as GitHub and Git. This certification is a part of multiple programmes namely IBM full-stack cloud developer professional certificate and cloud application development foundations specialization. The Introduction to Cloud Development with HTML, CSS, JavaScript by Coursera is taught by Upkar Lidder, a senior software engineer with the help of IBM resources. The course is in the online Coursera platform and can be completed within a total duration of 13 hours with a flexible schedule. 

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5 Weeks
Beginner
3,384
Skills Covered:
Web application development skills
Developing Cloud Apps with Node.js and React

Offered by

Certificate

Developing Cloud Apps with Node.js and React

The online session on Developing Cloud Apps with Node.js and React by Coursera will be offering an opportunity to the students to work on real-life examples in the domain of developing cloud apps. In the course, the students will be elaborating more on the server-side Javascript and the frameworks that are related to it. Upon completing the Developing Cloud Apps with Node.js and React training the students will have their skills strengthened in developing efficient web browsers. Over the period of fourteen hours the Developing Cloud Apps with Node.js and React certification syllabus will be dealing with topics namely- Working with JSON, Asynchronous I/O with callback programming, IBM cloud monitoring with LogDNA and Sysdig, Testing cloud applications, Creating callback functions, Introduction to logging and others.

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5 Weeks
Intermediate
Free
Skills Covered:
Knowledge of cloud computing
Engineering Maintainable Android Apps

Offered by

Certificate

Engineering Maintainable Android Apps

The Engineering Maintainable Android Apps is a  certification programme, provided by Vanderbilt University, which is the fourth in five courses in the Android App Development Specialization. Engineering Maintainable Android Apps Certification Syllabus is intended to assist the learners to have a solid understanding of numerous methods to engineer the  Android apps,

Engineering Maintainable Android Apps Certification Course, available on the platform of Coursera, will introduce the candidates to the various related aspects including the test-driven development methods, performing the unit tests using JUnit and Robotium, and many more. Engineering Maintainable Android Apps Certification by Coursera will provide the students with a sheer glance of best practices of software engineering that enable the building of maintainable code for mobile apps. 

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5 Weeks
1,699
Skills Covered:
Knowledge of Android Software Development
Certificate

Business Strategy and Operations in a Biobased Economy

The online course on Business strategy and operations in a biobased economy is apt for candidates who want to pursue the course to build a strong understanding of biobased and economical business sides. The Business strategy and operations in a biobased economy certification course is presented by edX, one of the leading online providers of quality education in association with Wageningen University. This self-paced Business strategy and operations in a biobased economy program is also an instructor-led course which is under the guidance of experienced faculty from Wageningen University. Also, this Business strategy and operations in a biobased economy training course is part of Business and operations for a circular bio-economy, a Micromasters programme which can be achieved after 2 other similar courses and one capstone project.

Business strategy and operations in a biobased economy course mainly focus on the dynamic business sides of a circular and biobased economy in which key concepts such as Biobased transitions, biobased investments and biobased innovations, supply chain management, closed-loop supply chains, quantitative decision support and so on, are studied thoroughly. Along with the comprehensive curriculum packed with flexible learning systems, the Business strategy and operations in a biobased economy training course provide the students with an informative and interesting learning experience.

There are two options for the candidates to enrol in the online self-paced programme, namely, verified and audit tracks. In the free audit mode, they will be provided with a limited duration of access to the course. 

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5 Weeks
Expert
Skills Covered:
Supply Management
Practical Guide to Navigating Professional Relationships

Offered by

Certificate

Practical Guide to Navigating Professional Relationships

The need for human-centric skills is as important as technical skills, even if you work in the tech industry. The Practical Guide to Navigating Professional Relationships online course by Coursera is developed to teach how to manage relationships and communicate effectively. You will also learn how to present yourself professionally.

Coursera’s Practical Guide to Navigating Professional Relationships programme is a five-week-long course that will equip you with the skills required to become a top-performing Sales Development Representative (SDR) and beyond. The course has plenty of reading material, quizzes and video lessons for an intensive understanding of concepts.

The Practical Guide to Navigating Professional Relationships certification course is offered by Salesforce and the SV Academy. The learnings of this programme will enable you to receive and give feedback effectively. Also, you will understand how to deal with different perspectives and opinions in the workplace. You can get a course completion certificate at the end of this online programme.

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5 Weeks
Beginner
3,384
Skills Covered:
Communication skills

Offered by

Certificate

Data Analysis with R Programming

Data Analysis with R Programming is Google Data Analytics Certificate's seventh certification course, which provides applicants the necessary skills they need to get an introductory level data analysts’ job. The applicant would learn the programming language known as R in this course. The candidate can learn how to use RStudio and the environment for working with R throughout the course. 

This course also covers R-unique software programmes and techniques, such as R kits. Candidates will learn how R enables them to clean up, coordinate, interpret, view, and report information in fresh and more efficient ways. Current Google data analysis providers will continue to offer practical instructions and services to registered applicants for basic data analyst roles. 

Data Analysis with R Programming certification will be awarded after the successful submission of the quizzes. The candidate will adapt the new programming called ‘R’ and implement its use to solve the respective problems and get efficient solutions. 

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5 Weeks
Beginner
3,384
Skills Covered:
Data science knowledge R Programming Knowledge of Data Visualization
Certificate

Machine Learning for Data Science and Analytics

5 Weeks
Beginner
Free

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