Online Programming And Development Courses & Certifications

The high-level digitisation of processes across various industries is rising. This has fuelled the popularity of data science technology. The Data Science L2 programme aims to provide you with the entire toolkit for becoming a Data Scientist. You WILL also receive a valuable certificate after meeting certain eligibility criteria.

The Indian Institute of Technology (IIT), Ropar, accredits the Data Science L2 online course. This module-based programme spans 4 weeks, where you will learn through live online sessions and case studies. Plus, you will work on a capstone project and understand how to apply your learnings for tackling real-life business cases. The curriculum will make you proficient in logistic and linear regressions in Python, factor analysis, pre-processing data, and other vital areas.

Throughout the Data Science L2 online programme by IIT Ropar, you will explore in-demand data skills. These include Machine Learning (ML) with sci-kit-learn and stats models, Natural Language Processing (NLP), advanced statistical analysis, computer vision, etc. You will also learn Python programming with Seaborn, matplotlib and NumPy.

Machine Learning using R Programming certification course is a certificate course offered by NIELIT Haridwar Campus. This course is an online program that will train the candidate to be competent with the fundamentals of machine learning and the basics of R language. The programming is taught as a part of the online course and is accessible from the comfort of a laptop or computer. The course spans a duration of 6 weeks. The first four weeks focus on topics related to certification and the last two weeks are dedicated to a project. 

The project is done without adding additional see connected from the participant. The certificate is awarded upon satisfactory performance of the candidate in the final exam test and minimum attendance percentage. The course has online assignments and content presented as e-content in the form of handouts for presentations. The Machine Learning using R Programming training course will cover the basics as well as dive into practical applications in machine learning.

Also Read: 

• Career as a Computer Programmer
• Essentials of Data Science with R Software-2 Sampling Theory and Linear Regression Analysis

Apply Creative Machine Learning certification is a month-long course that only requires a student’s 2 hours in a week time. Developed by UAL Creative Computing Institute, and Institute of Coding, this certification course can be found on the FutureLearn platform. Among all the industries, machine learning is actually causing a revolution in the creative industries ranging from Music to Photography.

Apply Creative Machine Learning certification syllabus is all about the concepts that come under IT, and Computer Science. Any technology we use to interact is actually being changed by Artificial Intelligence. The main thing that this course teaches is the main concepts in machine learning using applied examples in real life.

With this Apply Creative Machine Learning training candidates will come to know how exactly machine learning works, and how simple classification systems are built. This system can help make a discrimination between the information types, and the regression systems that are used for mapping interactions to different outputs. The candidates will be understanding the full capacity of the abilities of Machine Learning keeping in mind its relationship with creative industries.

Computational Thinking for Problem Solving is a beginner-level course administered by the University of Pennsylvania. The online programme will provide the learners with a deep insight into computational thinking which is used to deal with a problem in a systematic manner and come up with solutions that could be initiated by a computer. Computational Thinking for Problem Solving Certification Syllabus will guide the learners on computation thinking, the development and analysis of algorithms etc that will enable the students to approach the problems from the perspective of computer scientists. 

Offered by Coursera, the Computational Thinking for Problem Solving Certification Course is a programme targeted at beginner-level audiences that could be completed within 18 hours. Computational Thinking for Problem Solving Certification by Coursera is developed by Susan Davidson who is the Weiss Professor at the University of Pennsylvania. 

Learn about the basics of MATLAB and Octave in this MATLAB and Octave for Beginners By Edx. MATLAB and Octave for Beginners certification are the best suited for beginners and candidates who wish to make a career in this domain. MATLAB and Octave are programming languages that teach candidates to experiment with more advanced functions of mathematics to produce some great matrix visualizations. MATLAB and Octave for Beginners' online course will equip learners to practice data visualizations, mathematical computation, functions, and manipulation of matrices. This is a crash course offered by Edx that guides students step by step in the detailed learning of MATLAB and Octave programming.

The MATLAB and Octave for Beginners program is a self-explanatory program that is easy to follow and teaches the step-by-step use of mathematical tools. The use of these tools is mainly for writing functions and calculating vectors and matrices. The course also teaches candidates to use skills for graphically plotting the acquired results of problems. The course is a simple approach to learning the best practices involved in organizing work and the use of scripts and functions to enhance overall productivity. The programme is well-suited for candidates who wish to pursue a career in this domain. MATLAB and Octave for Beginners certification can help them take the first step and explore their interests as well as improve their chances of acquiring a relevant job in the market.

The course can be learned in online mode but the candidates need to choose any one track from the ones offered by the course. The two different tracks offered are audit and verified. During the audit track, the candidates will only have some weeks to finish learning the course. But in the case of the verified track, the candidates will get unlimited access to complete the course learning.

The Machine Learning using the Python program using the Digital India platform is offered by the NIELIT located at Gorakhpur-Extension Centre Lucknow. Since machine learning is a rapidly developing subfield of Artificial Intelligence, this course introduces the student to the world of Machine Learning starting with its basic concepts and techniques. The program runs for a duration of 6 weeks and covers several areas in the form of 3-hour sessions every day. 

As an online platform-enabled course, it is easily accessible through its portal and candidates can pursue this course in two different languages which are Hindi and English. The course is designed to use Python programming language as a tool for data analysis and solve problems of Machine Learning by employing its algorithms. The course offers mini-projects throughout its duration for student assessment. Before the final exam, the course offers a Question and Answers session for students to clear their doubts and seek clarifications.  This course offers a certificate of completion to all candidates who pass the requirements successfully. 

The Data Visualisation with Python: Bokeh and Advanced Layouts course is a part of the data visualisation with python which is offered by the FutureLearn portal in collaboration with Coventry University, U.K. In this course, learners will understand different phases of data exploration, data analysis and learn about the plot layouts, interactions and annotations using python on bokeh. This course will be delivered in online mode. 

The course will be conducted by Ed Marks using English as a medium of instruction. The duration of the course will be four weeks wherein candidates will have to invest at least four hours per week to complete the course modules on time. To apply for this course, candidates are advised to check the provider’s official website and register for the Data Visualisation with Python: Bokeh and Advanced Layouts online course. For details related to this course, please check the article below.

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.

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.

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.

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 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.

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Algorithms Certification Courses

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.

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. 

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.

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.

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.

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 

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 Introduction to Parallel Programming in OpenMP program's primary focus will be the shared memory programming paradigm. This course is available at the UG/PG level. The training has been designed for both computer science and non-computer science students interested in parallel programming. 

Learn to use parallel programming for the various Parallel/HPC applications in the Introduction to Parallel Programming in OpenMP online course. Throughout this online course, you will learn about core principles and programming concepts essential for developing scalable parallel applications. 

Besides, IIT Delhi has designed the Introduction to Parallel Programming in OpenMP syllabus while focussing on OpenMP and C programming applications. As such, this course is rife with programming assignments for practice. 

You will work on assignments like writing programs in C and OpenMP for multicore architectures for practical learning. The Introduction to Parallel Programming in OpenMP course also offers printable reading material, books & references, live sessions, and video lectures for an engaging learning experience.

Programming 102: Think Like a Computer Scientist Certification by FutureLearn allows learners to explore intermediate level Python programming where they shall discover how to break problems into smaller parts, design and finally apply algorithms to data. They can also explore list structures along with their various uses. Those having faced a significant brush with Python and having acquired an inclination towards the language thereafter can definitely take up this course to polish their knowledge and programming skills.

Programming 102: Think Like a Computer Scientist Certification syllabus is so structured that the learning outcomes will build upon the foundational Python skills of the learner and prepare him to proceed with more advanced programming. All eligible course participants can start with the course straight away and learn at their own pace. This online training programme not only deals with basic concepts but also challenges its learners to implement the same with their students. The assignments and tests spread throughout the course will help learners endure some programming challenges.

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.