List of Online Courses and Certifications

The Data Science Immersive: Singapore certification programme is designed to equip you with practical data skills. During this online course, you will develop Data Science fluency by working on five projects, including a capstone project. The Data Science Immersive: Singapore classes through live online classes, recorded tutorials, project toolkits, career workshops, networking events and more.

Throughout the Data Science online programme by General Assembly, you will explore vital concepts of Data Analysis, Python, predictive and statistical modelling, etc. Also, you will gather deep knowledge about Machine Learning (ML). The ML portion will make you adept at algorithms with high complexity, random forests, neural networks, decision trees and natural language processing (NLP).

The award-winning Data Science Immersive: Singapore syllabus includes 12 hours of pre-work online tutorials. It also covers a wide range of Data Science topics in five systematically arranged units. This Bootcamp will enable you to study data wrangling for forecasting trends, data visualisation, pattern recognition, etc.

The Data Science and Machine Learning training course is a 400-hour Data Science with Machine Learning Bootcamp. It has been designed to equip you with skills for machine learning and data analytics. This is the best-rated Bootcamp in the United States. The programme will prepare you for a career in data science by imparting knowledge of the industry tools and skills to apply them to real-world applications.

Furthermore, the Data Science and Machine Learning is an industry-oriented course curated with the help and advice of business experts and leaders in the data science field. The course curriculum is rich and touches upon both R and Python for data visualisation and analytics. You will also get to work on four application-based projects, including a capstone project, along with the theory classes.

You can opt for the in-person, remote live learning mode or the interactive distance learning mode. In addition, towards the end of the Data Science and Machine Learning online program, you will benefit from career services that include one-on-one resume reviews, interview preparation and networking opportunities.

Learn the basic principles of Python, practice using it, and find out what it can do for the learners. To put students on the right track for further study in the areas of Python, Data Science, or other branches of programming, the professors will coach them through the fundamental knowledge and practical skills that form the basis of their education through the Python Mini Bootcamp certification course. 

This intense course teaches learners the essentials of Python, including its key ideas, data structures, control flow, and object-oriented programming. With a smaller initial investment and commitment, this Python Mini Bootcamp certification course by Code Labs Academy has the added benefit of providing participants with a preview of what a full Data Science Bootcamp with us might be like.

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Globally, organisations and businesses have integrated data as an inseparable part of their business operations and processes. To become globally competitive, organisations are leveraging high volumes of data to augment their sustainability, productivity, and profitability. and has become highly significant. Data Science and analytics have assumed great significance by assisting the decision-makers and business leaders to understand, manage and utilise their data more effectively. Data scientists are one of the most sought-after professionals in today’s digital era, where data is increasingly becoming part of the minutest process of any business organisation.

The Data Science Bootcamp Certification Course by Jigsaw Academy has been specially designed for data science enthusiasts, freshers, and students who aspire to launch their career as data scientists, by building the right mindset, skills, and network. The Bootcamp is of over 12-weekend duration coupled with in-person instructions and real-world project experience with the Capstone Project.

The Skill Lync Combustion CFD Specialist programme is best suited for automotive and mechanical engineers. The programme has two parts. The first part of the training involves a twelve week-long course in ‘Introduction to Computational Fluid Dynamics using MATLAB and OpenFOAM’. Candidates learn about software like MATLAB, OpenFoam, the basics of FVM, and how to carry out various calculations in them.

The second part of the course is in ‘Computational Combustion using Python and Cantera’, wherein candidates understand how to compute combustion in Python and Cantera and how to perform detailed calculations. Both parts have a thorough and expansive curriculum crafted by experts and practitioners. The participants will complete four projects in the first course and two projects in the second course of the Combustion CFD Specialist online training. 

Skill Lync Combustion CFD Specialist training course falls under the domain of automotive and mechanical engineering. The certification programme has various benefits like zero per cent interest rate on EMI, a dedicated team of professionals, and a certificate of merit to the best performers. 

Skill Lync academy is introducing a programme for Machine Learning for Electrical engineers using Python for the aspirants who want to look at their careers in machine learning fields. The academy makes the candidates skilled and capable of meeting the requirement that recruiters may expect in the workplace. Therefore, aspirants who look for a job with certification in this place will be the best ones. So, the academy is useful for students to brighten their careers.

With the enhancing world with technology and machine mechanisms, all-around machine learning has become rampant nowadays. Manual work has been declined with the rapid automation of machines. Therefore, it comes to the use of Machine Learning. For efficient results, the python platform is reliable and robust. With the development criteria of security in Machine learning, many organizations vowed to work with Machine learning using Python. Therefore, there comes the need to learn Machine learning using Python.

The academy Skill Lync has collaborated with many global companies and MNCs. The academy has brought many careers to light in the fields of machine learning and artificial intelligence. There are industry experts with experience with real tools that are applicable in the workplace. Therefore, aspirants who choose this academy are in the right zone to colour their career.

The Problem Solving, Python Programming, and Video Games training course by Coursera is an introductory programme in the field of Python programming and computer science. The programme places heavy emphasis on computer science techniques and methods such as problem decomposition, problem-solving (computational thinking), algorithms, software quality, and abstraction.

Moreover, the Problem Solving, Python Programming, and Video Games programme use the medium of video games through the Python programming language to help you consolidate various computer science techniques you have learnt throughout the programme. But the concepts are not limited to the domain of video games. Candidates can apply them to multiple other functions such as software development, machine learning, artificial intelligence, and more.

Also, the participants of the Problem Solving, Python Programming, and Video Games online course get access to the interactive learning objects. Interactive learning objects or ILO is a virtual environment integrated with the certification course to provide you with a platform for practising and developing algorithms, video games, functional test cases, and problem descriptions.

Lastly, upon successful completion of all the programme modules, practical exercises, and assignments, you will be eligible for the Coursera course completion certificate. 

The Microwave Remote Sensing in Hydrology Remote Sensing in Hydrology certification course is a three months online program. Even though the program is provided using the Swayam platform, the Indian Institute of Technology Bombay and NPTEL firms have established this certification program, which was created by IIT Bombay.

The  Microwave Remote Sensing in Hydrology training covers the fundamentals of passive and active microwave remote sensing with applications in civil engineering (hydrology, meteorology), as well as the ideas of processing microwave images using free and open-source programming languages like Python.

This course will give a general overview of how to get students ready to read and understand microwave data for difficult water-related scientific and policy problems. This course will be valued and commended by ERDAS, RMSI, and other companies with a remote sensing and GIS applications division. Prof. J. Indu explains this certificate course.

The Numerical Analysis Certification course is a 12-week online programme that offers a comprehensive exploration of fundamental numerical methods and techniques essential for solving complex mathematical problems. Students are provided with the theoretical foundations and practical applications of numerical algorithms through the Numerical Analysis Certification by NPTEL.

The Numerical Analysis training equips students with the skills necessary to effectively analyse and solve real-world problems using numerical methods. The course masters the art of numerical computation and analysis. They will gain proficiency in implementing numerical algorithms using programming languages such as Python, MATLAB, or R.

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The Programming with Python Training Course is a 10 week-long course that explores the core concepts of Python programming languages. The course will help learners gain skills and knowledge of programming in Python, one of the most popular and powerful programming languages.

The Programming with Python Certification Course can be opted by anyone interested in Python and it does not require prior programming knowledge. The program is administered by Kelly Rivers and Anil Ada, distinguished professors from Carnegie Mellon University.

After completion of the Programming with Python Online Course, learners will receive a valid digital certification from Carnegie Mellon University’s School of Computer Science Executive Education.

The Self Paced Python Bootcamp certification course is provided in the virtual mode. The programme deals with the concepts of full-stack Python development. Candidates will be taught through experts and the curriculum of the programme includes learning through interactive quiz sessions, video lectures, projects, etc. The Self Paced Python Bootcamp certification syllabus of the programme is 10 weeks long. There are two versions of the programme available. Students can choose to pursue the course with a 2 months plan or 4 months plan depending upon their preferences. The course runs in the self-paced method and thus there are no deadlines regarding the attendance of the video lectures. Students can take as much time as they want and study according to their schedules. The Self Paced Python Bootcamp online course provides one to one instructor support and guidance throughout the programme. The certification of completion is acquired by students who complete the course successfully. 

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The Data Science online Bootcamp by Metis aims to imbibe valuable Data Science skills. The project-oriented course will teach you all the vital concepts, including Python, Natural Language Processing (NLP), web scraping, Machine Learning (ML), and unsupervised learning.

Metis’ Data Science online course will help you learn with a combination of theory and hands-on experience for an all-round understanding of the Data Science topics. You will also gain practical knowledge by working on five portfolio-worthy projects.

Besides, you have the option to choose a learning format of your choice. The Data Science online programme by Metis has two learning formats: a 10 weeks Live Online format and a 20 weeks Online Flex format. The former requires a full-time immersive commitment, while the latter allows you to learn at your pace.

The Data Science bootcamp online training also grants you access to career assistance, social activities, presentations, one-on-one support from instructors and Teaching Assistants (TAs), online community and more.

The Data Science and Engineering Bootcamp aims to make you proficient in Data Engineering skills. This Bootcamp has a duration of 10-20 weeks, depending on the learning mode you opt for. During this time, you will learn how to utilise and leverage data science and engineering knowledge effectively.

The Data Science and Engineering online course by Metis comes in two formats – Online Flex and Live Online. Both learning modes provide you access to live project presentations, career support, social activities, one-on-one instructor support, etc. Expert Data Science instructors will intensively teach you the basics and advanced concepts of data engineering.

The Data Science and Engineering syllabus has five systemically curated modules. Throughout the course, you will explore a broad spectrum of data science and engineering topics. These include programming methods, cloud computing, big data handling, web applications, feature engineering, classification, etc. You will also study Natural Language Processing, clustering methods, and algorithms, etc.

Artificial intelligence and machine learning advances run hand in hand with the degree to which quantum computing footprint improves. Thus, it is natural to leverage machine learning capabilities with the advent of quantum computing. This Quantum Machine Learning certification course will explore the underlying principles associated with futuristic technologies. 

The program on Quantum Machine Learning encompasses the advantages of machine learning once it is coupled with futuristic quantum technologies. These have the potential to provide the much-awaited advancements of this industry. Some examples include machine learning and select frameworks in Python. 

This Quantum Machine Learning training program is intended to be delivered across 9 weeks along with an input of 6-8 hours per week by the participants on their own time for optimum results. The University of Toronto is the partner institution for this self-paced course. The video transcripts are in English and the students have an option to get a paid plus official certification. 

The candidates who enroll in any track of the course will be able to progress at their speed. Both tracks - audit and verified may be opted for by the candidates for finishing the course. If the candidates are interested in learning for free without a certificate they may choose the audit track which is open for a limited period of access. For unlimited access, the students should switch over to the verified track by paying some fees.

The Introduction to Computer Science and Programming Using Python Course aims at imparting basic knowledge about computer science and Python 3.5. The course taught over 9 weeks through online materials will help students learn the basics of programming and the usage of computational techniques to deal with real-life instances.

Introduction to Computer Science and Programming Using Python Training Course will help students aspiring to excel in the field of Computer Science and Computational programming. The course discusses in detail the important features and aspects of the Python programming language and its practical applications.

Introduction to Computer Science and Programming Using Python Syllabus is prepared by distinguished professors in the field of computer technology. The course instructors are John Guttag, Eric Grimson, and Ana Bell, belonging to the faculty of Computer Science and Electrical Engineering at MIT.  There are two varied enrolment options to join the programme, namely, verified and free audit. In the verified mode, the learner needs to pay the fee and will have unlimited access to the programme whereas, in the free mode, they can access the course only for a limited period. 

Computational Combustion using Python and Cantera is being imparted by Skill Lync. It has been designed in consultation with industry experts and academicians to give the learners a comprehensive understanding of the various concepts of computational combustion through python and Cantera. Participants will learn about computational combustion which includes simulations and numerical modeling using advanced large‐scale parallel systems and provides a new avenue to evaluate and interpret the variability of acoustic‐flame‐vortex interactions occurring in many combustion systems. It covers basic as well as advanced concepts of computational combustion. The Cantera library can be imported to python, MATLAB, and C++. Python is one of the widely used languages and can handle the operations better than C++ or MATLAB. This course comes under the automotive and mechanical engineering field with CFD as a sub-domain. This course will be beneficial for students and working professionals, having a background in programming and thermodynamics and are keen on gaining knowledge about the functions of engines and combustion modeling.

The Accounting Data Analytics with Python Programme by Coursera has been developed for the candidates who are looking to build proficiency in the Python language, especially for business intelligence and analytics. Provided in partnership with the University of Illinois, the programme aims to utilize Python’s robust computational capabilities and libraries. It focuses heavily on working with multiple domains of accounting data, be it EDGAR financial statement data, stock data, or point-of-sale data.  

The Coursera Accounting Data Analytics with Python Training covers fundamental Python programming skills like functions, conditional statements, loops, and mathematical operators. Moreover, since the course is a part of UIUC’s Master of Business Administration Degree, a greater emphasis is placed on data visualization and presentation. Furthermore, certification training also covers data structuring and manipulation, along with Python and SQL integration.

Lastly, the Accounting Data Analytics with Python Training Course is a 100 percent online learning experience that allows you to learn and train at your convenience. Along with the video lectures, you will have a collection of reading material carefully curated by Coursera at your disposal. Upon course completion, you will receive an industry revered Coursera Certificate.

The Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python certification course provides candidates with a basic introduction to various numerical methods. They will learn methods like the finite-difference method, the pseudo-spectral method, and the linear and spectral element method. It also teaches them how to apply these methods to the 1D/2D scalar wave equation. 

Candidates will see how mathematical equations are transformed into computer code and how the results are visualised in a unique setup. The Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python online course illustrates the fundamental mathematical ingredients of numerical methods (such as differentiation, function interpolation, numerical integration, Taylor series, and more) and how they compare. 

Candidates will also receive strategies to ensure their solutions are correct with benchmarking with analytical solutions or convergence tests. Furthermore, the mathematical aspects of the Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python training programme are complemented by an introduction to essential wave physics, meshes, discretization, computing models, and parallel programming.

The ‘Software Debugging’ course is developed and offered by the online education provider platform Udacity. This online training is for free and will take about two months to complete the course. This debugging program is an intermediate-level course aimed to reduce the hassle one goes through while finding and removing the possible or already present errors. In this program, the learners will know about the ways to automate the debugging process and perform the task productively.

The course instructors for the ‘Software Debugging’ training program are Andreas Zeller and Gundega Dekena who will provide the learners with the theoretical and practical knowledge of the tools and techniques involved in determining the bugs in the software.  This skill development online course improves your skillset and drives the candidates towards innovation. The course curriculum consists of six modules through which the students will be able to understand and develop functional technologies and tools for debugging in Python.

The Data Science Foundation Course by Datamites is a high-level online programme designed to teach you the main concepts of Data Science. You will explore the three broad domains of Data Science, i.e., business domain knowledge, data skills/programming/Machine Learning (ML) and Statistics. The International Association of Business Analytics Certification (IABAC) accredits this programme.

The Data Science Foundation certification programme offers intensive two days of Live Virtual Classroom (LVC)/full-time classroom training as per the IABAC syllabus. You will learn via video lessons, case studies, Data Science projects, cheatsheets, datasets, etc., for an in-depth understanding of concepts. You will also receive an IABAC certification in digital format.  

During the Datamites’ Data Science Foundation online programme, you will learn from expert trainers, including industry professionals and PhDs with deep coaching and research experience. You will get an overview of ML with algorithms, basic statistics and applications of Data Science in the top five industry domains. 

AI Foundation by DataMites is a beginner-level online course that can be conducive to executives, industry professionals, leaders, researchers, and students. Takeaways from the course will ensure that learners are able to contribute to their organization and its transformation potential. AI Foundation certification syllabus is specialised for managers and is delivered by Ph.D graduates and industry experts.

Students have the option to choose from three learning modes-  Live virtual, Classroom training, and Blended learning. The live virtual learning sessions are instructor-led and continue for 2 months. The blended learning programme includes self-learning and live monitoring and students can access the course for a year. The in-person classroom training is for 2 months.

The Data Science and Artificial intelligence Course is a 2-months Bootcamp to help you launch your data science career. This course, held on Saturdays and weekday evenings, will cover core topics from Deep Learning to Pandas. You will work in teams equipped with premium tool belts and gauge your Data Science expertise via teachers and peer interactions.

Le Wagon also provides a ‘Data prep week’ right before the Bootcamp commences. In this, you’ll strengthen your Python, OOP, and Iteration skills and develop a robust foundation to study the Data Science Course syllabus. 

Apart from a thorough syllabus, the Data Science part-time training course provides numerous avenues for networking and learning. You’ll get access to Le Wagon’s online education platform for screencasts, lectures, challenges, etc. In addition, Slack groups will be available for tips from professional data analysts, scientists, and exclusive freelance opportunities. 

You will also become a part of Le Wagon’s global community, featuring 11,105 alumni, developers, entrepreneurs, etc. After the Data Science part time online programme completion, you’ll also receive career services through numerous networking events, job fairs, Le Wagon’s career guide, and alumni coaching sessions.

The Data Analyst Nanodegree Programme by Udacity has been designed to help you advance and refine your programming skills and to acquire the ability to work with messy and complex datasets. The programme curriculum covers Python and associated data analysis libraries such as NumPy. You will be working on multiple projects that will enable you to have an impressive experience portfolio.

Furthermore, the Udacity Data Analyst Course is crafted, keeping the interest and convenience of the students in mind. Thus, the self-paced learning course allows you to learn your convenience. You get access to a custom learning plan. The course allows you to master skills that are high in demand across several job profiles. This Nanodegree programme will help you climb the ladder of a successful career much faster. 

The Online Data Analyst Training by Udacity teaches you to prepare and manipulate data for analysis. Also, you will learn how to visualise and use your skills in data to tell a story.

Python is a powerful language used in almost every domain of engineering and data science and it is easy to learn. It is one of the most popular coding languages in these times. It is also said to be high level, general purpose, object oriented and an open source programming language.  It helps the engineers to finish their coding in a very less amount of time, it does not consume much as no much manual work is required. It has become important for each programmer to understand all the versions of python. This technological world is developing with great speed where the language has evolved over many years.

This Python for Mechanical Engineers programme course is designed especially for the candidates who aim to master their knowledge level over Python and gain a fundamental grasp in their field of mechanical engineering. This will help them learn how to use the Python language effectively to perform mathematical operations along with data manipulations

The Programming, Data Structures, and Algorithms Using Python certification course imbibe Python problem-solving and programming fundamentals in its students. A Chennai Mathematical Institute offering, this eight-week curriculum features robust industry recognition amongst programming-oriented companies. Primarily built for undergraduates, this program falls under the following purviews - ‘Foundations of Computing’, ‘Programming’, ‘Artificial Intelligence, ‘Computer Science and Engineering, and ‘Data Science’

The extensive Programming, Data Structures, and Algorithms Using Python certification syllabus cover multiple concepts, including introductory concepts like loops, conditionals, functions, strings, etc. Candidates learn about sorting algorithms, backtracking, using files, exception handling, and more. Regarding data structures, the course also discusses Python dictionaries, objects, and classes to define various data types, including binary search trees and linked lists.

The Programming, Data Structures, and Algorithms Using Python training also offers an optional certificate to help candidates actively seek employment or educational growth. Aspirants can acquire this by clearing the requirements. These include scoring well in the weekly assignments and clearing Swayam’s two examinations.

The Data Science in Healthcare (Online Certificate Program) course is an online learning programme designed for technical professionals. The course stresses the importance of analytical skills in the healthcare industry. Since the volume of data generated by medical centres, hospitals, medical staff, and systems is increasing, there is an urgent need for expertly trained analysts.

Therefore, the Data Science in Healthcare online programme is a highly relevant course. You will learn the analytical skills required in the wellness industry for patients and providers. In fact, data skills are vital for all analysts on the healthcare spectrum. You will learn how to operationalise systems to interpret, measure, collect, aggregate, and share the data required by a healthcare company and its partners. 

Furthermore, the Data Science in Healthcare training includes video lectures, knowledge checks, learning facilitators, and weekly Q&A sessions to make the course more engaging for learners. Plus, you will earn a digital certificate upon completing the course from Dartmouth QBS. 

The Business Analytics & Text Mining Modeling Using Python online course is an 8 weeks program offered by Swayam, a government of India initiative. The goal of this course is to teach students how to utilize text mining techniques to extract data analytics in order to meet corporate goals. With easy-to-follow learning modules, the course explains how to develop, analyze, and compare various models based on actual datasets and scenarios using a Python-based software platform.

The Business Analytics & Text Mining Modeling Using Python training includes industry support from Consultancy and Analytics companies, Big Data companies, Companies with Analytics Division. The course is totally free but if candidates want to receive a certificate, they will have to appear in an examination which costs Rs. 1000. The Business Analytics & Text Mining Modeling Using Python syllabus covers a wide range of topics which includes text mining, data visualization, python, data mining, data science, excel, etc.

In a progressive statistics world, corporations want individuals who can extract key information from data in order to make smarter business decisions. UCT's Data Science with Python online course helps students build realistic data science and analytical abilities for implementing it in real-world business contexts.

According to a McKinsey report, organizations that have at least one senior leader who has been trained in data are 70% more likely to perform better. The Data Science and Python Training teaches about broadly applicable libraries of python and how these techniques may and are applied in real-world business settings. The course demonstrates the concept of uncovering more robust correlations in order to guarantee that training models are usable.

An NVP report states that 92% of C-suite leaders are expanding their expenditure on Artificial intelligence and Big data. The Data Science with Python syllabus provides statistical understanding, which serves as a basis for understanding the dynamics of artificial intelligence. The course delves into supervised learning algorithms via neural networks and tree-based models, as well as unsupervised learning algorithms of AI via hierarchical clustering and K-means.

Data used to be a term that was associated with tech companies but not anymore. Data is now being used to transform businesses across industries. Organizations from a startup to large MNCs plan their business decisions based on insights gathered from available data.  As the significance of data analytics increases, it’s unsurprising that various researches indicate that many companies and businesses are equipping themselves to use their data resources for a better competitive edge in the market.

IIM Amritsar through its advanced data analytics certification course wants to prepare the students towards the rising field of data analytics. This course will help the students in securing a good position in the data analytics field. From analytic techniques to industry-standard tools, students will get to learn all the relevant knowledge about data analytics from the esteemed faculty of IIM, Amritsar during the course. After the course, students will be able to explore their career as Data Scientists, Data Analysts and other data mining related fields.   

In the Data Analytics Certification certificate course by IIM Amritsar, the students will gain extensive knowledge about Data Analytics and how it is applied in different fields. There are various tools and formulas to enhance your problem-solving abilities. This course provides the students with the capabilities to understand the needs of the organizations as well as the customers. 

Introduction to Data Analytics Certification explains every model and method with super clarity with the help of the different formulae and functions in excel. You are also going to know how to prepare the pivot tables and charts in excel. These functions are very much necessary in modern business activities, and hence they want to hire more professionals with a professional degree in this field. The two monthly certification programmes will make you learn the analytical concepts in an elaborate manner.

Introduction to Data Analytics Certification Course makes you aware of Data Analytics, the places where you can use it, and the practical implementation of every tool and technique. The direct lectures from the experts of IIM are a bonus in this regard. Data Analytics Certification certificate course by IIM Amritsar is an entirely online program with two months duration.