Online Programming And Development Courses & Certifications

The Data Visualisation with Python: Matplotlib and Visual Analysis course is one of the segments of the data visualisation with python course. The course is offered by the FutureLearn portal in collaboration with Coventry University, UK in online mode. Learners will learn about the use of python for business analysis, different types of data visualisation along with creating plots in python using matplotlib and time-series information.

The Data Visualisation with Python: Matplotlib and Visual Analysis training programme will be instructed by Ed Marks and Alastair Gill. The course will be a four weeks programme, where investing four hours per week will help to complete the course modules on time. A 7 days free trial will be offered by the provider after which a monthly subscription of $39 has to be taken to access the course completely.  For details related to the Data Visualisation with Python: Matplotlib and Visual Analysis course, please check the article below.

The Data Visualisation With Python: Seaborn and Scatter Plots online course is offered by the FutureLearn portal in collaboration with Coventry University, U.K. It is one of the parts of the Data Visualisation With Python programme offered which is available on the portal. Through this course, learners will learn the use of seaborn in python, understand the uncertainty in data and visualisation workflow. Also, candidates will learn the use of different tools in data visualisation.

The Data Visualisation With Python: Seaborn and Scatter Plots training is for four weeks duration in online mode. This course will be instructed by Ed Marks with English as a medium of instruction, in which candidates will have to give inputs of four hours weekly to complete the Data Visualisation With Python: Seaborn and Scatter Plots certification syllabus. To apply for this course, students will have to visit the provider’s official website and enroll on it. For details regarding the course, admission process, fee structure, etc, please go through the article below.

Data Science has enabled many industries and organisations to make better business decisions by providing useful insights and information. Hence, this exciting branch of science can be used to test new techniques, theories and models. Python for Data Science online programme is an undergraduate-level course that falls under Computer Science and Engineering, Artificial Intelligence and Data Science categories.

The Python for Data Science course curriculum has been curated by the prestigious IIT Madras faculty and delivered by Prof. Ragunathan Rengasamy. Also, the certification has been designed as a four-week-long course that will be divided into several modules. It will teach you the basics of the Python programming language and how it can be used to solve data science problems.

Furthermore, the course will equip you with skills to use Python and data science which are extremely important and valuable today. You will learn through video lectures and will be given regular weekly assignments during the tenure. When you finish all the modules in the Python for Data Science certification course, you further obtain a certificate by qualifying the eligibility criteria.

As the user interacts with organizations has been growing at a rapid rate, the demand for new talents in the sector of data analysis has been growing because of the huge mountains of data being dumped on the company servers. As a result of this, the need for skilled professionals in the Python field too has risen in consequence since it happens to be the most used programming language for application development and has user-friendly data structures.

Python Programming and Data Science bring to the candidates the chance of mastering both these sectors through one course. The specialization program has been designed as such that it covers every necessary tool required in these two domains.

The program has been made 4-weeks long and effectively teaches the applicants all important concepts like Python modules, data-frames, analysis tools with perfect details. The is specially customized to take care of all the doubts the candidates might face and it successfully by introducing both English and Hindi as a medium of instructions.

Applied Text Mining in Python opens a window for the learners to the realm of applied text mining in Python. The programme is offered by  the University of Michigan with the target of intermediate level students. Applied Text Mining in Python Certification Syllabus will expose the students to various aspects including the fundamentals of text manipulation and text mining. 

Applied Text Mining in Python Certification Course, administered by Coursera, will walk the students through the structure of the text in humans and machines, the mode of text handling in Python, regular expressions, cleaning text, and a lot more. Applied Text Mining in Python Certification by Coursera, spanning four weeks, can be enrolled only after taking the three pre-courses provided in the Applied Data Science with Python Specialization. 

The Algorithm Design and Analysis Training Course is a self-paced intermediate level course constituting the Computer Science Essentials for Software Development Professional Certificate program. The online course delivered through expert course materials will discuss the design and analysis of algorithms and related topics.

The Algorithm Design and Analysis Live Course can be opted by anyone interested in learning about problem-solving skills using computational methods. The 4 week-long course requires learners to have basic knowledge of discrete mathematics, probability, and Java programming language.

After successful completion of the Algorithm Design and Analysis Certification Course on the edX platform, learners will receive a valid course certificate. The course will be taught by Sampath Kannan, faculty of Computer and Information Science at the University of Pennsylvania.

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 34 hours of course content that is scheduled for four 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.

The Divide and Conquer, Sorting and Searching, and Randomized Algorithms certification is a course that is provided by Coursera in association with Stanford University. This is a very short course that teaches the candidates regarding algorithms which is considered as the mainstream of Computer Science where algorithms can be used in practical applications.

The Divide and Conquer, Sorting and Searching, and Randomized Algorithms certification syllabus tends to cover introductory aspects of algorithms with some amount of programming exercises. This course belongs to course number one on the algorithms specialization which gives the conceptual learning for elementary level of mathematics and its implementation.

Divide and Conquer, Sorting and Searching, and Randomized Algorithms training is an intermediary level course that will help the candidates become strong with their technical skills so that they are able to speak well regarding algorithms with other Computer Programmers confidently.

Also Read:
Algorithms Certification Courses

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them is an online programme designed for intermediate-level students. The online course administered by Stanford University will give the students a deep dive into the shortest paths and related aspects. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Syllabus, prepared by Tim Roughgarden, the Professor of Computer Science, will walk the candidates through various topics of algorithms such asBellman-Ford, Floyd-Warshall, Johnson, etc. 

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification Course, administered by Coursera, is a flexibly developed course and the students can set their deadlines as per their comfort. The students will also be given subtitles in multiple languages. Shortest Paths Revisited, NP-Complete Problems and What To Do About Them Certification by Coursera is the fourth and the last course in the Algorithms Specialization. 

The Object-Oriented Programming with C++ course by the National Institute of Electronics and Information Technology, Gorakhpur has been meticulously designed to cater to the requirement of proficiency in C++ language & its various methods of intricate implementations. 

The course, through a very basic & self-explanatory manner, helps candidates familiarize themselves with the concept of Object-oriented programming & its intricate implementation. The confusing concepts like Encapsulation, Abstraction, Polymorphism & inheritance are also explained & discussed in quite a detail to the candidates.

Through this course, even the candidates who already have prior knowledge of C++ compiler like Dev C++, can broaden their horizon & strengthen their basics & theoretical understanding of it. The instructor-led live classes ensure maximum interaction throughout the course so that the delivery is useful in every manner. Error handling skills are ensured to be instilled in the candidates. The certification by the National Institute of Electronics and Information Technology, Gorakhpur, further opens a gate of opportunities for the candidates to pace up in the professional world.

Introduction to C# Programming and Unity is an independent course available on the Coursera platform which helps you learn from scratch about how to develop video games with C# programming language along with using the Unity game engine on your Mac or Windows. The course is not at all authorized or sponsored by Unity Technologies or its affiliates.

C# is preferred as a learning computer language, for knowing how to program and entering into professional programming.

The course helps you to learn in-depth about core programming concepts that apply to C# along with different programming languages. The learners will understand how to apply these concepts while developing games.

With the Introduction to C# Programming and Unity Course, they will also get to know about the ideal path they need to learn to code and clear their fundamentals by building small games and applications.

India is touted to be a highly scalable market for the gaming industry in the next couple of markets and there is no better time than now to not just enroll and learn something new, but also gain a skill that can help you be a part of the growth story as India’s first homegrown gaming giant.

C# is one of the best programming languages for beginners and professional programmers alike. And the Unity game engine is becoming increasingly popular among indie game developers. In 2016, Unity games were downloaded 16,000,000,000.

The More C# Programming and Unity course, explains why C# and Unity should be used instead of some other language and game engine. Throughout this course, learners will continue building their foundational Unity and C# knowledge by exploring more Unity and C# topics.

The More C# Programming and Unity course is part of the C# Programming for Unity Game Development Specialization programme offered by the University of Colorado. The curriculum for this course is designed with the assumption that candidates have taken the previous course in the specialization, and have the prerequisite knowledge. Therefore, before applying to this course, candidates must make sure that they have that knowledge, either by taking the previous course or from personal experience.

Julia Scientific Programming is designed for the beginner-level learners to make a detailed understanding of Julia which is the high-performance programming language developed exclusively for scientific computing, physics, chemistry, astronomy, bioinformatics, engineering, data science, etc. Julia Scientific Programming Certification Syllabus, prepared and instructed by Juan H Klopper and Henri Laurie, will shed light on various aspects of Julia such as command line, variables, functions, program files, and the like. 

Julia Scientific Programming Certification Course, available on Coursera, is offered by the University of Cape Town and includes on-screen demonstrations, video lectures, quizzes, practical peer-reviewed projects, etc. Julia Scientific Programming Certification by Coursera is structured in a flexible fashion that enables the learners to learn at their own pace and decide the deadline as per their schedule. 

Offered by Duke University, the Writing, Running and Fixing Code in C Programme, is ideal for professionals interested in learning and mastering the basics of programming language. The need of the hour, coding is one of the most sought after areas that is always and will remain in trend. Understanding the key requisites of the corporate world, the programme will enable candidates to learn and master different skills namely, debugging, compiler, C Programming and many others. The programme is a beginner level programme and can be pursued by professionals keen on learning to code. To make it easy, the programme is also accessible in different languages apart from English. The candidate will learn about planning algorithms, compiling and thereafter running it. The programme offers a certificate in the end if successfully completed.

Programming Fundamentals certification is an online course, conducted for 4 weeks, is prepared by Duke University and is offered by Coursera. This course is the first part of the specialization, Introductory C Programming Specialization which focuses on programming essentials, the skills of which are necessary for making a career in software development or other fields.

Programming Fundamentals training is extended for students in different subtitles like English, Spanish, German, French, and more. This certification course will be teaching the participants fundamental programming activities like analysing, understanding, generating the algorithms, requirement verification, implementation of algorithms, and other resource consumption. With this course completion certificate, participants can develop certain algorithms along with reading programming codes, and also relate algorithms to programming. 

An Introduction to Interactive Programming in Python (Part 2) is the second out of seven courses constituting the Fundamentals of Computing Specialization Programme. The 100% online course introduces learners to the basic steps involved in building interactive applications using the Python programming language.

An Introduction to Interactive Programming in Python (Part 2) Certification Course is a beginner level course provided by the faculty of Rice University. The course instructors are Joe Warren, Scott Rixner, John Greiner and Stephen Wong belonging to the Department of Computer Science. The course helps learners make use of their programming skills to develop creative games and applications.

An Introduction to Interactive Programming in Python (Part 2) is a self-paced course taught with the help of informative course videos and academic readings along with practice quizzes, graded assignments, exams and programming tasks. Upon the successful completion and the payment of the course fee, candidates will receive a shareable digital certificate.

Functional programming is a model of programming in which programs are developed by using pure functions. It utilises the application of functions to arguments as the fundamental method of calculation. The Introduction to Functional Programming online course is designed to teach you the foundational principles of functional programming using the Haskell programming language.

The Introduction to Functional Programming certification course uses Haskell language because it is a purely functional programming language. You will study the necessary ideas of programming composing functions and mathematical functions. The course will enable you to effectively note and understand the difference between contemporary and functional languages.

The Introduction to Functional Programming training will acquaint you with useful features of functional languages. These include an uncomplicated mathematical basis, effectual abstraction methods, and a succinct notation for writing programmes. You will also learn how to implement the concepts of functional programming using Hack language developed by Facebook.

The Computing: Art, Magic, Science- Part II  programme offers the enrollment candidates to learn more about the fundamentals of the learn function programme, loop variants, design patterns and other functions in descriptive and elaborative patterns. The concepts learnt will be practised by the students by using advanced tools that will further help the students to write programmes, run the programme, compile them and also test the programme on the backdrop of predefined tests. 

The Computing: Art, Magic, Science- Part II  online course is a continuation of the series titled- “ Computing: Art, Magic, Science” (CAMS 1). In the Computing: Art, Magic, Science- Part II certification course will learn about- undo-redo options, concurrency, design patterns, selective exports, loop invariants and other functions that pertain to the domain of computer science engineering. The computer science programme will further help the students to understand the techniques of modern computing systems. 

The complex software systems will be taught to the students so that they can construct professional solutions and design in the Computing: Art, Magic, Science- Part II training. There are 2 tracks which are called audit track and verified track both of which are self-paced. Candidates who want to study for free may opt for the audit track which will also offer 

Graph Search, Shortest Paths, and Data Structures is an online certification course offered by Stanford University intended for the pool of intermediate-level students. The course will expose the candidates to the data structures, graph primitives, graph searches, and their applications. Graph Search, Shortest Paths, and Data Structures Certification Syllabus, developed by Tim Roughgarden, the Professor of Computer Science, will shed light on the heaps, hash tables, balanced search trees, and bloom filters, and the like. 

The Graph Search, Shortest Paths, and Data Structures Certification Course, administered by  Coursera, will also provide the students with a sheer insight into breadth-first and depth-first search, shortest paths, connectivity, and their applications. Graph Search, Shortest Paths, and Data Structures Certification by Coursera, the second course in four programmes of the Algorithms Specialization is a flexibly designed course that can be pursued by students as per their own schedule. 

The Core Interaction Programming online course is the first course in the Unity Certified Programmer Specialisation offered by Unity Technologies. This course follows a challenge–solution learning format. Moreover, you will be required to dedicate nearly 11 hours to finish the course successfully. 

In the first part of the Core Interaction Programming course, the primary focus will be building the foundation for a 2D action video game, AsteraX. After that, you will deep dive into planning out and developing the game project using architecture codes.

The Core Interaction Programming syllabus will cover core skills and practices like using basic UI elements to provide user feedback, developer testing methods, assessing scripting needs based on project requirements, and more. Additionally, these will help you prepare for the Unity Certified Programmer exam. 

Moreover, the Core Interaction Programming training goes by a self-approach to let you study at your convenience. You will also be eligible for a shareable certificate upon successful course completion. 

Also Read:
3D Video Game Development in Unity: An Introduction
Introduction to video game development with Unity

The Unity Certified Programmer test is a professional certification for mid and entry-level Unity programmers. Coursera’s Application Systems Programming training is a 100% virtual course that will prepare you for this examination. To this end, it will furnish you with vital learnings and challenge you to solve Unity programming’s realistic problems related to the examination’s topics. There are skilled instructors on board to train you for these. 

With the Application Systems Programming certification syllabus, you will further explore a 2D action video game’s development, which began in AsteraX, the previous course. This will help you polish your skills for the exam. These include optimising for various platforms, adding particle effects, managing application and user data, and implementing user customisations. You will require approximately 17 hours to finish this curriculum. 

The Application Systems Programming course is the second part of the Unity Certified Programmer Exam Preparation Specialisation. It’s an intermediate-level, self-paced curriculum where you can reset deadlines to study at a convenient pace. The programme offers free enrolment and a paid certification, which is shareable on LinkedIn. You can also print it out as a hard copy for your CV.