Online Programming And Development Courses & Certifications

The SQL for Data Analysis online course is four weeks of training conducted by the FutureLearn portal and coordinated by Tableau and Coventry University, U.K. The course will help in developing and applying data analytics skills in a professional career. Through this course, candidates will learn how to use SQL in modifying and grouping data in the database. Also, learners will learn the difference between correlation and causation and reach a proper conclusion for your data. 

The SQL for Data Analysis certification will be directed by Jacques Haasbroek, a certified data analyst and a chartered global management accountant. Candidates who are interested in taking admission must visit the provider’s official website and register for the SQL for Data Analysis training. To get all the details related to this course such as the admission process, fee structure, etc, please go through the article below.

The Distributed Computing with Spark SQL certification course is a 14 hours course. This course is available on the educational course platform Coursera, and the syllabus is curated by the University of California. Also, this course is part of the main programme, Learn SQL Basics for Data Science Specialization. 

This Distributed Computing with Spark SQL training course is made for candidates with some ideas, and information about SQL. This Coursera programme will be great for students who want to step ahead in their data journey. All 4 modules developed for this course are intertwined among themselves. In the end, when all 4 modules are learnt, the candidates will have learned many ways related to Spark SQL, and ways to construct reliable data points.

Designed after careful industry analysis, the Online Certification Course in Advance Data Analytics and Machine Learning using R by NIELIT progresses from the basics of R to advanced studies of data analytics. It includes 40 hours of learning in four weeks of weekday classes from 1:30 PM to 3:30 PM.

The course curriculum aims at training candidates in the field to meet the demands of the technologically-driven industry. Touching upon computational statistics applications and usages, it solves real-world data science problems. For the Online Certificate Programme in Advance Data Analytics and Machine Learning using R by NIELIT, candidates need to access a system of 8GM RAM with a broadband connection. A basic understanding of the Linux command line will be beneficial. 

The course also provides a combination of practice and knowledge in Data Science and its applications. Mr Sanjaav Kumar Jha instructs NIELIT’s Advance Data Analytics and Machine Learning using the R training programme. Upon satisfactory course completion, students will also earn their certificates. 

Front-End JavaScript Frameworks: Angular is an online course developed and offered by The Hong Kong University of Science and Technology (HKUST) which is an international research university with a focus on advanced science and technology. The course made available by Coursera will discuss Javascript-based front-end frameworks and the Angular framework.  

Front-End JavaScript Frameworks: Angular Certification will shed light on features of typescript, creating Angular applications with the help of Typescript, use of Angular Material, and Angular Flex-Layout for responsive UI design, etc. Plus, the students will have a clear picture of how to use Observables and RxJS in the context of Angular applications. Front-End JavaScript Frameworks: Angular Certification Course will also cover the REST API, Angular animation support, Angular testing, and many more. 

Front-End JavaScript Frameworks: Angular Certification Syllabus will discuss numerous concepts related to Angulars such as components, directives, and services, data binding, Angular router, creating template-driven forms and reactive forms, Observables, reactive programming, RxJS, etc. 

The An Introduction to Probability in Computing certification course provides students with a basic introduction to probability theory to Computer Science (CS) which will help them to grasp the latest CS trends in the industry. The course duration is 4 weeks and is offered by the IIT Madras, NPTEL. 

The prerequisite for this course is students must have pursued a course on the design and analysis of algorithms to get advanced subject knowledge. The An Introduction to Probability in Computing certification by NPTEL offers a comprehensive curriculum such as an Axiomatic Approach to Probability Theory, Verifying Matrix Multiplication, Discrete Random Variables, and others. 

Also Read: Online Computer Science Courses & Certifications

Design And Pedagogy of the Introductory Programming Course Certification is a 4-week online programme that provides students with a comprehensive overview of curriculum design in programming. Students gain practical insights and actionable strategies in programming topics through the Design And Pedagogy of the Introductory Programming Certification by NPTEL.

Design And Pedagogy of the Introductory Programming Course online develops design skills among students to understand the design aspect of programming language. The course equips students with the knowledge and skills needed to create engaging and effective learning experiences for programmers.

Also Read: Online Programming Certification Courses

The Machine Learning using Python online course is a study of computer algorithms and a part of the applications of artificial intelligence, offered by the online education provider ‘Edu Plus now’ in partnership with the Indian Statistical Institute in Pune. This twelve days course is scheduled on the weekends for interested students.

The course curriculum is focused on the detailed aspects of the statistical principles and theories, the nuances of the programming language Python along with the concepts and ideas of machine learning. The learners in this program will be allowed to explore the methods and process of building algorithms with the help of supervised and unsupervised learning, regression mechanics, classification strategies, and the modeling of time series utilizing the software tool Python. The students will get an opportunity to work with several technical projects of the real world for skill development and implement the theoretical knowledge gained into practical applications.

Features and Boundaries is an online course meant for the beginner level who are interested in exploring features and boundaries in images. The online certification programme is a jointly offered online programme by Coursera and Columbia University. Features and Boundaries Certification Course will shed light on the concepts related to features and boundaries in imaging such as object recognition, metrology and object detection.

Features and Boundaries Training, provided by Coursera, is the second programme in the five-course First Principles of Computer Vision Specialization offered by Columbia University. Features and Boundaries Certification by Coursera can be taken by any beginner who wants to learn the features and boundaries. But, Coursera specified a set of eligibility criteria to be eligible for the certification fundamental knowledge of linear algebra and calculus. 

The project-centered 100% online course offered by the Hebrew University of Jerusalem helps you transform and build a modern software hierarchy which is purposely designed to help you in translation and execution of object-based high-level languages on a bare-bone computer platform which will in the process bring deep gain towards hands-on understanding in the applied computer, science, vector graphics and towards all other topics that fall under the core of every modern computer systems.

The course can be completed within 3 weeks but it’s dependent upon you till when you complete it at your own pace.

The course also comes up with a textbook “The Elements of Computing Systems” which covers all the course topics. The book is currently offering a 30% discount on the cover price provided by Nisan and Schocken, MIT Press).

They will also freely supply all the required software materials and tools which are necessary for completing the course.

The project centred courses have nine modules with each having a series of lectures which will take about 3 hours of yours to attend an additional 29 hours to complete each of the six projects. 

Coursera provides online courses designed by instructors from companies and universities. These courses give access to on-demand video lectures, quizzes, community forums, projects and homework exercises to amplify the learning experience of the participants.

Advanced SAS programming techniques course by Coursera has been designed for learners who wish to develop or improve their data analytics skills. The course aims to provide the participants with a deep dive into SAS programming. SAS enables the user to analyze, transform and derive value from the given data. It will train the participants in SAS programming using SAS 9, using the SAS macro facility to write, design, debug dynamic macro programmes, rotate data, process repetitive code, and perform table lookups using arrays and using PRX functions for pattern matching. Participants will learn the use of additional functions such as LAG, FINDC for data analysis and manipulation.

After the completion of the course, the participants will have developed a detailed perspective on SAS programming and the skills to use advanced DATA step techniques and procedures for manipulating the data. This course will prepare the participants for the SAS Advanced Programming Professional certification exam.

Machine learning is a new technological advancement that has been part of many organizations. It is a study of computer algorithms that can improve automatically through the use of data and experience. It is part of artificial intelligence which is a booming domain and is widely used by organizations. The Python and Machine Learning for Asset Management course is an initiative by the EDHEC Business School for learners who are interested in learning machine learning and python programming specifically for asset management. 

Python and Machine Learning for Asset Management training is delivered by the experts on the online learning platform of Coursera. The duration of this online course is 3 weeks and the classes will be completed within the time frame of 16 hours. Candidates will be trained on machine learning approaches in investment management. The platform is providing multiple benefits and Python and Machine Learning for Asset Management certification by EDHEC Business School for the learners who opt for certification mode for this course. 

Impact from Digital Transformation: Full course Certification by Coursera revolves around the possibilities of digitisation when everything around us seems to get dynamic due to digital change. It is all about handling the disruptive process that is found to unfold in the industry in the present time due to digitisation. Digital Transformation deals with handling the changing dimensions of industries owing to digitisation.

More than that, the course will focus on the core learning of the evolution of the new business landscape and adopting the right corporate strategy for the same. Impact from Digital Transformation: Full course Certification Syllabus has been curated in order to offer a flexible and affordable online learning paradigm to individuals worldwide. Learning is made even more interesting with hands-on projects, additional reading to hone existing knowledge and courses to prepare candidates for every development in the concerned domain.

They can begin with the course for free and pursue the course for certification later. A high-quality curriculum and on-demand lectures for mobile application and desktop at one's schedule sets this course apart from others. Course participants aspiring to take on leadership roles in the business or management sector will benefit from this course.

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. 

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. 

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.

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.

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.

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.