Page 164 - Best Doctoral Certificate Courses - Eligibility, Fees, Duration, Career Options

Offered by

IBM via Edx

Certificate

Python Basics for Data Science

Python programming and data science are highly valuable and in-demand skills. Top companies use Data Science and analysis to interpret data and make critical business decisions. Python Basics for Data Science by edX will delve into data science using Python. As this is a beginner-level course, you will learn about Python language from scratch and do not have to be a programmer.

The Python Basics for Data Science certification is a free programme that falls under the Data Analysis and Statistics category and will run for five weeks. It will enable you to learn at your own schedule and pace through video content. By the end of the training course, you will be adept at using Python language to create data science projects and be ready to collaborate with Data scientists.

Enrol in the edX Python Basics for Data Science programme and gain basic knowledge of machine learning, programming, and data visualisation. You can also earn a sharable verified course certificate after completing the course if you took the course in the verified track by paying the fee. In the free track, you can audit the programme for a limited duration.

3 Weeks

Intermediate

Compare

Skills Covered:

Data science knowledge Knowledge of Python

Offered by

UM–Ann Arbor via Coursera

Certificate

Introduction to Data Science in Python

Introduction to Data Science in Python is an online certification programme provided by the University of Michigan and available on Coursera which is one of the five specializations of Data Science. Thus, this course must be pursued prior to the other course in the specialisation i.e Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python. Learners will be able to study data science in Python in greater depth with the tutelage of experienced instructors.

Introduction to Data Science in Python Certification, accessible on the platform of Coursera, will expose the candidates to basic techniques of Python programming such as lambdas, reading the CSV files, and the NumPy library and python programming environment. By enrolling in the Introduction to Data Science in Python Online Course, the learner will develop the capacity to deal with tabular data and manipulate it along with running the fundamental inferential statistical analyses.

Introduction to Data Science in Python Certification by Coursera will shed light on data manipulation, and the process of using the group by and pivot tables in an effective fashion. Introduction to Data Science in Python Certification Syllabus will help the students explore the cleaning techniques using the popular python pandas data science library and usage of the Series and DataFrame for data analysis and many more.

3 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Data science knowledge Knowledge of Python

Offered by

Udacity

Certificate

Predictive Analysis for Business

The Predictive Analysis for Business Nanodegree Programme by Udacity has been designed to enable you to master solving complex problems with data through a scientific approach. The course will help you become fluent in two leading software packages called Alteryx and Tableau. Alteryx enables you to prepare, blend, and analyse data quickly, and on the other hand, a Tableau is a powerful tool for data visualisation.

The Udacity Predictive Analysis for Business Online Course covers complex data-related concepts such as creating mental models to define business-related issues as well as visualising data to improve the performance of predictive models. Furthermore, the programme has been designed to implement and identify a variety of techniques for predictive modelling.

In addition, the Nanodegree programme incorporates real-world projects to help you in skill-building through practical knowledge. You will also receive feedback from the network of project reviewers routinely.

3 Weeks

Intermediate

₹ 82,000

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Skills Covered:

Tableau knowledge

Offered by

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

Certificate

Reinforcement Learning for Trading Strategies

An understanding of Reinforcement learning (RL) is crucial in machine learning that looks at how gradient boosting should act in an environment to get the most rewards over time. Reinforcement learning is one of the three basic ways that machines can learn, along with supervised learning and unsupervised learning. The Reinforcement Learning for trading Strategies certification course is designed by the New York Institute of Finance along with Google Cloud and taught by Jack Farmer - specializing in training and consulting solutions, which is presented by Coursera.

Reinforcement Learning for Trading Strategies online classes offer 12 hours of digital lessons that are intended to provide students with a comprehensive understanding of reinforcement learning (RL) and the benefits of using RL in trading strategies, as well as how RL has been used with neural networks and review LSTMs.

With Reinforcement Learning for Trading Strategies online training students will learn more about how they can be used to look at data over time. Aspirants will be able to use reinforcement learning to build trading strategies, recognize the distinction between actor-based policies and value-based policies, and use RL as part of a momentum trading strategy.

3 Weeks

Intermediate

₹ 3,438

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Skills Covered:

Machine learning Trading skills Knowledge of equities Financial knowledge SQL knowledge

Offered by

UC San Diego via Coursera

Certificate

Advanced Algorithms and Complexity

If you have already learnt about the basics of Algorithms, you are now ready to take the next logical step into more complex algorithms and problem-solving. The idea behind this Advanced Algorithm and Complexity course is to teach you how to build upon the algorithm basics and utilize new ideas. In this course, we will be starting with network flows that are employed in the typical applications like detecting disjoint paths, optimal matching, and flight schedules along with a few other surprising applications like the segmentation of images in computer vision.

In the next segment, we teach linear programming with its application in allotting and optimizing budgets, Portfolio optimization, finding a diet that is cheap and satisfies all the requirements. Further, we discuss the inherent hard problems that have no perfectly good solutions known (and neither are likely to be found) and how you can solve them in practice. The course finishes with a slight introduction to the streaming of algorithms that are used, most heavily in Big Data Processing. These algorithms are mostly designed to process huge data sets without being capable of storing even a single dataset.

3 Weeks

Expert

₹ Free

Compare

Skills Covered:

Programming skills Knowledge of Algorithms Knowledge of Python

Offered by

EIT via Coursera

Certificate

I/O-efficient algorithms

The I/O-efficient algorithms online course is an EIT digital-based course instructed by Dr Mark de Berg through a wholly online platform for learning with Coursera. The entire programme runs for a duration of 9 hours offering a verified certificate. The I/O-efficient algorithms syllabus will progress through three weeks starting with a curriculum starting with an introduction, cache algorithms, replacement policies and efficient sorting.

The course will be taught in the English language with subtitles in English, Spanish, Russian, French and Portuguese. The I/O-efficient algorithms by Coursera are planned as advanced level coursework with flexible deadlines for completion. The candidates will need to have some basic prerequisite in the area of mathematics and algorithms to be eligible to enrol for the programme.

3 Weeks

Expert

Compare

Skills Covered:

Knowledge of Algorithms

Offered by

EIT via Coursera

Certificate

Approximation Algorithms

Traditional algorithmic tools are often inefficient for solving various real-world algorithmic problems. For example, many such problems are NP-hard; hence, these tools can’t solve them correctly. Thus, the Approximation Algorithms certification course will make you fluent with the critical algorithmic techniques and concepts that can deal with these challenges efficiently. You can employ such techniques instead of the optimal solution; you need an approximation close to this optimal solution.

Curated by EIT Digital, the Approximation Algorithms certification syllabus offers 100% online lessons and covers vital topics to make you an expert. These include PTAS, knapsack problems, vertex-cover problems, linear programming, load balancing, scheduling algorithms, and numerous other learnings. By covering these, you’ll become adept in finding the required approximations of a problem’s optimal solutions for solving it efficiently.

The Approximation Algorithms online course features a renowned instructor, Professor Dr Mark de Berg. It also provides self-directed deadlines to help you learn comfortably, along with English subtitles for the programme videos. Moreover, you can also purchase the training completion certificate to access the valuable accreditation and graded assessments.

3 Weeks

Intermediate

Compare

Skills Covered:

Knowledge of Algorithms

Offered by

EIT via Coursera

Certificate

Automated Reasoning: Symbolic Model Checking

The Automated Reasoning: Symbolic Model Checking certification course offers to learn through online mode. The course talks about the properties of acting systems and programs. The course can be pursued as a free programme in the audit mode, provided the students will not be able to get access to the graded quizzes, assessments, and certification.

The Automated Reasoning: Symbolic Model Checking certification syllabus includes four weekly modules that can be completed in the time period of 13 hours. Students can also enable English subtitles in the programme.

There are no restrictions regarding the timings of the sessions or attendance percentage since this is a self-paced programme that lets the user choose their own deadlines. The certification of the Automated Reasoning: Symbolic Model Checking online course is achievable at the end of the course if the participants successfully complete the course after taking the subscription of the programme.

3 Weeks

Intermediate

Compare

Skills Covered:

Programming skills

Offered by

EIT via Coursera

Certificate

Automated Reasoning: Satisfiability

If you want to learn the applications for satisfiability tools, Automated Reasoning: satisfiability course is perfect for you. The programme uses several examples to give you a glimpse into the various scenarios where satisfiability can be applied. These examples include program correctness, scheduling problems, puzzle-solving and fitting rectangles used for printing posters.

Besides this, Automated Reasoning: satisfiability training also offers the underlying theory of using the resolution as a primary approach to propositional satisfiability, applying simplex methods for solving linear inequalities and using the CDCL framework for scaling up big formulas. You will learn these concepts through a series of video lessons, reading material, practise assignments and graded assignments. However, the course encourages you to use the knowledge you receive and apply SAT/SMT to several other problems, such as the problems presented in the honour’s assignment.

Automated Reasoning: satisfiability certification is an online course that takes about 25 hours to complete. It is an intermediate course taught by Hans Zantema and is offered by EIT Digital. You can either join the course for free or take the Coursera membership and secure a certificate of completion.

3 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

Knowledge of computer application

Offered by

CU Boulder via Coursera

Certificate

Trees and Graphs: Basics

The Trees and Graphs: Basics online course is a study of the algorithms and data structures associated with trees and graphs such as tree data structures, binary search trees, self-balancing trees, graph data structures with some fundamental traversal algorithms on graphs. The online program is provided by the online educational platform Coursera and the course curriculum is offered by the University of Colorado Boulder. The course consists of 10 hours of course content that is scheduled for three weeks. The educator for this online training is associate professor Sriram Sankaranarayanan from the University of Colorado Boulder.

The Trees and Graphs: Basics is part of the ‘Data Science Foundations: Data Structures and Algorithms Specialization’ and the Master of Science in Data Science(MS-DS) degree hence this online course can be taken for the MS-DS degree. This advanced-level program enables the students to utilize flexible deadlines for convenience to complete the course and a shareable course certificate after course completion.

3 Weeks

Expert

₹ 1,699

Compare

Skills Covered:

Knowledge of Algorithms Data science knowledge Programming skills Knowledge of Python

Offered by

UC San Diego via Edx

Certificate

NP-Complete Problems

3 Weeks

Intermediate

₹ Free

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Offered by

University of Toronto, Toronto via Coursera

Certificate

Learn to Program: The Fundamentals

The Certification course on Learn to Program: The Fundamentals is taught by professors of the Toronto University. This course will introduce the simplest fundamentals of programming that act as the building blocks for every program written on computers. This course will help you develop an understanding and liking of the way programs function and how you can write simple and effective programs by making the use of Python language.

It is an introductory course for anyone interested in learning about programming and the Python language. It helps candidates in developing an insight into the basics and functioning of program writing. The course teaches simple ways to design and write programs using variables and functions. The course goes into detail about various Python basics and their applications. It helps you in having an overall understanding of Python Program writing fundamentals.

Further, the course will help you understand how you can solve various challenges using different conditions of Python. The programs learned in this course will help candidates take the first step into the world of computer languages and programming. Complete with assignments and quizzes, this course is the perfect way to get started with a career in Python and computer programming.

3 Weeks

Beginner

₹ Free

Compare

Skills Covered:

Programming skills Knowledge of Python

Offered by

UW Washington via Coursera

Certificate

Programming Language Part-A

This course is offered by the University of Washington which is one of the oldest state-supported universities for higher education and one of the best research universities in the world. This course will help you know your strength, apply your analytical skills, and provide you with the confidence to perform efficiently at your workplace or start your own business.

Students are introduced to the basics of programming languages and with additional focus on functional programming, using languages like ML, racket, and Ruby to teach the ideas to the student community, but the course aims to make students learn about how they can fit together any language to make an effective program in any language and learn new ones.

This course combines programming specifics and theoretical knowledge about the programming languages, providing a framework for understanding how a language can be used to create programs in an effective manner. This will demand you to put your analytical thinking to use, more, by selecting different languages as compared to in terms of the particular syntax of one language. For learning how to write a robust, reusable, composable, and elegant program, it is very essential to learn about functional programming which offers the most important ideas in the latest languages.

3 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

Programming skills Machine learning

Offered by

JetBrains via Coursera

Certificate

Kotlin for Java Developers

Kotlin is the modern computer programming language, it is advanced and gives more power to developers for performing everyday tasks. The kotlin language is safe, concise, and pragmatic. It is focused majorly on interoperability with another language, i.e JAVA code. The application of Kotlin is almost exactly the same place as Java is being used already: development for the server-side, and designing of android apps, etc Kotlin is one hundred percent compatible with the existing Java framework. It has great tooling support. The language is very pragmatic with an intuitive flow that makes it easy to be grasped especially for Java developers.

This course on Kotlin for Java Developers focuses on JVM bytecode. The course concentrates on the beauty and power of Kotlin, it highlights the basics of the Kotlin language with a discussion on various corner cases, and especially the ones relating to Java interoperability. Certificate Course On Kotlin For Java Developers By Coursera is based most importantly on the Java experience, it will exhibit the similarities existing between both the languages and concentrates on the differences.

The course is an overview of Kotlin and its interoperability with Java, It will however not cover the fundamentals of programming. It teaches learners functional programming using Kotlin, nullability, programming oriented towards the object using Kotlin, Basic syntax, Java interoperability, power of Kotlin Language standard library.

The course is an intermediate level and it is taught by experts from Jetbrains. This course will help Candidates appreciate the advanced features of using Kotlin integrated with Java. It will better prepare professionals to overcome the programming challenges they face at work and help them find workable solutions.

3 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

Java

Offered by

Development Island via TCS iON

Certificate

Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL and AJAX)

One of the major factors driving the market growth is the higher use of portable devices and the rise of the customer base for the e-commerce business. Moreover, continuous growth in enterprise applications increased focus on apps for health and fitness, and high installations and in-app purchases for gaming apps all fuels the market's progress. Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL, and AJAX) online course is intended for people who wish to leverage the concepts of the app and web development to create productive and efficient applications like online notes applications.

Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL, and AJAX) certification course is created by Development Island, a British educational firm that aims at providing digital learning courses. Build an Online Notes App (HTML, CSS, Bootstrap, PHP, MySQL, and AJAX) online training includes 30 hours of extensive study material covering app development topics such as app logics, app skeletons, login code structure, lost password code, note management, data management, load, create, edit, and delete, among other things.

3 Weeks

Compare

Skills Covered:

Knowledge of CSS Knowledge of Ajax Web application development skills

Offered by

Harvard University, Cambridge via Edx

Certificate

CS50's Introduction to Programming with Scratch

3 Weeks

Beginner

₹ Free

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Offered by

Raspberry Pi Foundation , Teach Computing via Futurelearn

Certificate

Programming 103: Saving and Structuring Data

3 Weeks

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Offered by

Raspberry Pi Foundation via Futurelearn

Certificate

Start a CoderDojo Club

3 Weeks

₹ Free

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Offered by

Raspberry Pi Foundation , Teach Computing via Futurelearn

Certificate

Programming Pedagogy in Secondary Schools Inspiring Computing Teaching

3 Weeks

₹ Free

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Offered by

Raspberry Pi Foundation , Teach Computing via Futurelearn

Certificate

Programming with GUIs

3 Weeks

Compare

Offered by

IBM via Edx

Certificate

Introduction to z/OS Commands and Panels on IBM Z

3 Weeks

Beginner

₹ Free

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Offered by

University of Melbourne, Parkville , The Chinese University of Hong Kong via Coursera

Certificate

Basic Modeling for Discrete Optimization

3 Weeks

Intermediate

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Offered by

Raspberry Pi Foundation , Teach Computing via Futurelearn

Certificate

Design and Prototype Embedded Computer Systems

3 Weeks

Compare

Offered by

Raspberry Pi Foundation via Futurelearn

Certificate

Prepare to Run a Code Club

3 Weeks

₹ Free

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Offered by

SAS Institute via Coursera

Certificate

Using SAS Viya REST APIs with Python and R

3 Weeks

₹ Free

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Offered by

IBM via Edx

Certificate

Smarter Chatbots with Node- RED and Watson AI

3 Weeks

Intermediate

₹ Free

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Offered by

IBM via Edx

Certificate

Introduction to System Programming on IBM Z

3 Weeks

Intermediate

₹ Free

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Offered by

CloudSwyft Global Systems, Inc via Futurelearn

Certificate

Microsoft Future Ready: Developing Applications Using Javascript

3 Weeks

₹ 6,500

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Offered by

Johns Hopkins via Coursera

Certificate

The R Programming Environment

We are witnessing and adapting to the fourth industrial revolution, Industry 4.0, powered by Big Data and AI. At the global level, data integration has become highly essential for organisations and businesses to achieve global competitiveness. With the prevalence of Big Data all around, it becomes highly relevant to explore the underlying information and reap optimum rewards. In this scenario, data science and analytics enable decision-makers and business leaders to understand, manage and utilise data effectively.

R is a free, open-source programming language that is widely used by data scientists and analysts for developing software and applications in a data science setting. R offers tools and techniques for data analysis, statistical computations and data visualisation. R is available to use on various operating systems and is widely recognised for its extensibility, which allows developers to develop and distribute their own software as add-on packages. These features make R programming an ideal choice for data science experts and data analysts to utilise R in a variety of fields and areas.

The R Programming Environment online certificate course offered by Johns Hopkins University via the Coursera platform aims at providing useful knowledge of R Programming Language to data scientists, data analysts and data science experts to efficiently work in data science settings. This 100% online programme is of intermediate level and the first course in the Mastering Software Development in R specialisation.

3 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

R Programming

Offered by

EIT Digital via Coursera

Certificate

Introduction to Architecting Smart IoT Devices

Introduction to Architecting Smart IoT Devices online certification is designed by EIT Digital and taught by Martin Timmerman - Professor, which is delivered by Coursera for learners who want to master the strategies and techniques utilized for architecting IoT devices. The goal of the Introduction to Architecting Smart IoT Devices online course by Coursera is to assist learners to acquire the knowledge of the features of embedded systems.

Introduction to Architecting Smart IoT Devices online classes incorporate 2 weeks of lectures that cover everything from the basics of the internet of things to the foundations of a robust embedded systems domain. With this course, learners will also be taught about system lifecycle, system modeling, software failures, hardware failures, design patterns, code generation, hacking, traceability matrix, Shannon's principle, and more.

3 Weeks

Beginner

₹ 2,699

Compare

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