List of Online Courses and Certifications

The Computing for Data Analysis Certification Course is brought by the online learning platform of the Georgia Institute of Technology, to provide advanced-level learning in the field of Computer Science. The course is a hands-on introduction to the part of analytics, combining both the fields of computer science and mathematics. 

A candidate will strengthen the foundations of data-intensive computing and numerical related to computing through the course. The programme is aimed at the candidate to develop a new process of thought regarding basic principles related to programming that will also assist them in practising relevant topics of modern data analysis and learning data mining. The learners can pursue the programme in paid or free audit mode. The paid mode will enable the learners to have unlimited access whereas the free audit mode will provide access only for a limited period. 

The Computing for Data Analysis training also teaches the data analysis pipeline and the concepts of machine learning including the pre-processing, storage, and analysis of data and figures. With the application of basic mathematical tools like numerical linear algebra and algorithms, the students learn how to handle data-intensive computing. The verified track of the course also includes graded assignments that’ll help in polishing the analytical knowledge of the student.

Machine Learning is a highly in-demand curriculum for this generation. Machine Learning gives computers the ability to learn from experience without being programmed explicitly. EdX’s Machine Learning certification course is concerned with both the theoretical and practical aspects. The curriculum will present the candidates with statistical unsupervised and supervised learning methods for data remodeling and data analysis.

Georgia Institute of Technology offers the Machine Learning online course by EdX, and the university’s Executive Associate Dean Charles Isbell teaches the programme. It is an intermediate-level course that covers various theoretical concepts like the Inductive bias, the minimum description length principle, Ockham’s razor, etc. The training includes several projects and programming assignments for candidates to get a more concrete understanding of the topics. 

Students learn about various topics such as randomised search algorithms, reinforcement learning, Bayesian learning methods, etc.  After completing the Machine Learning training, the candidates will get three credits and a certificate of completion after paying the fee for certification. It will take around 14 weeks to complete the programme, and classes will be conducted online through video lectures. 

Applied Business Analytics has been developed by ISB and Erudite to help you understand the different models and functions companies use to run their business. You will learn how to gather insights from data, predict outcomes, and solve problems using different types of data analytics. 

The Applied Business Analytics programme by Eruditus is a three-month-long training programme. You do not need any coding knowledge to join this course. All you need is a graduation or diploma degree and at least one year of work experience. 

Moreover, the Applied Business Analytics course offers certification, which you can receive after completing the course successfully. Not just that, the course will also assist you in building a compelling resume, acing interviews, and creating an impressive LinkedIn profile. 

Also, the Applied Business Analytics syllabus is spread across twelve different modules. The last module will include a capstone project. You'll get hands-on training via engaging online sessions, which will help you make data-driven business decisions.

Also Read:Business Analytics Certification Courses

Natural Language Processing (NLP) and Machine Learning (ML), are transforming and re-shaping businesses and job functions worldwide. Most industries are already being disrupted by ML and the automation of business processes. These include Manufacturing, Healthcare, IT, Fintech, and the Service industry. This is why now more than ever, you need courses like the Certificate Program in Machine Learning and Natural Language Processing Using Python by IMT Nagpur.

Take the Machine Learning and Natural Language Processing Using Python certification course to learn the useful tool - NLP. It is a tool for transforming unstructured data, including text, images, and videos, into meaningful information to facilitate decision-making. Application areas of NLP include chatbots, language translation services, and systems for answering questions.

The Machine Learning and Natural Language Processing Using Python online training are three months long with live online classes held every weekend. Learners will receive a schedule for the same in due course. The course curriculum houses real-world case studies and examples for a deeper understanding of the concepts.

In the 21st Century, Business Analytics Course with Python (BA) and its associated topics, like Big Data, Business Intelligence, Data Science, Data Mining, etc. have become increasingly popular. To learn these comprehensively, choose the Business Analytics Course with Python Certification from IMS Proschool & NSDC. Rife with immersive learning tools, industry projects, in-depth content, and valuable certifications, it’s the ideal option to master BA. 

The Business Analytics certification syllabus constitutes vital concepts such as regression techniques, statistical techniques, applied Machine Learning, and predictive analysis. It also includes hands-on projects and essential tools to make you holistically fluent in Business Analytics. What’s more, you’ll learn all these from current industry experts.

IMS Preschool’s Business Analytics programme offers two certifications - a completion certificate upon finishing the internal evaluations and an optional one by NSE Academy. The latter one will require you to clear NSE Academy’s examination. There are three learning options - a Classroom programme (offline) during weekends, a Live Virtual Classroom option, and a free webinar.

The Data Science Associate course is developed for those looking to enter the promising fields of data science, machine learning, or artificial intelligence. It explores essential topics like predictive modelling, machine learning, and programming languages like Python and R.

The Data Science Associate course syllabus includes topics like SQL, Machine Learning, Statistics, Big Data, Deep Learning, Neural Networks, Python, R. It also explores the evolution of data science and how it is different from business analytics and big data. 

Moreover, the training programme features some highly valuable case studies and real-world projects. Upon completing the Data Science Associate online training, you also receive an IABAC certification. Since this document is globally recognised, attaching it to your CV/Resume will open a ton of opportunities for you worldwide. 

You also get to choose between three learning approaches – live virtual, blended learning, and classroom -, thereby allowing you to navigate the course per your preferred learning style.

The Diploma in Data Science programme is a hands-on course in data science and machine learning, developed chiefly for fresh graduates and professionals. This is a meticulously curated training course that will provide foundational knowledge of interpreting data, skills, and abilities to extract information, analyse, transform, and model data. 

The Diploma in Data Science online course offers a unique blend of expert-designed curriculum, structured classroom learning, and hands-on labs, concluding with a final real-time data science project. In addition to the capstone, the course features one client project as well. You also get the option to choose whether you want in-person training, online training, or blended learning.

After completing the Diploma in Data Science training, you also receive a certificate signed by both DMC and IABAC. Moreover, you also receive access to the cloud lab, where you can practice all the techniques learnt during the course. The certificate, combined with the internship and job assistance and hands-on training, will act as a launchpad for your career. 

Today, the sales and marketing domain involves extensive data use for making intelligent business decisions. The Certified Data Scientist-Marketing Course by DataMites is a specialisation programme with in-depth use cases. With this curriculum’s learnings, you will explore the applications of Data Science in marketing and sales.

The Certified Data Scientist-Marketing Course syllabus includes case studies, videos, real-world projects, cheatsheets, datasets and more study materials for in-depth understanding. Furthermore, you will be trained by industry expert instructors, including elite faculty from prestigious institutes. You can also get a global certification by the IABAC (International Association of Business Analytics Certification).

The Certified Data Scientist-Marketing Course training is designed to provide you with complete project execution knowledge. You can join the programme through three distinct modes of learning – blended, classroom and live virtual training. The curriculum is based on the latest industry requirements so you can leap forward in a fulfilling Data Science career.

Data science is instrumental in facilitating work across industry verticals and organisational function domains. With this Certified Data Scientist Operations online course from DataMites, students can learn about incorporating data science into operations. 

The programme certificate, accredited by the International Association of Business Analytics Certification or IABAC, is recognised worldwide. The Certified Data Scientist Operations course is available in three formats, instructor-led live online, blended learning comprising self-learning and live mentoring, and in-person classroom training. Students can access loads of study materials, data sets, cheat sheets, and videos to practice and learn extensively.

Besides, the Certified Data Scientist Operations syllabus includes one client and ten capstone projects. Students also explore data science in workflow optimisation and predictive analytics applications in operations. Moreover, the curriculum from DataMites aligns with the job requirements and industry demands in the current market. 

Along with the Certified Data Scientist Operations programme content, students also receive placement assistance through job updates, newsletters with the latest data science information, and materials on job interviews. The Placement Assistance Team (PAT) also helps students in resume building, job connect, interview questions, and mock interviews with industry experts.

Today data science plays a vital role in optimising work functions across organisational domains and industry verticals. With this Certified Data Scientist Finance online course from DataMites, students will explore the deployment of data science into the finance domain. 

Since DataMites is authorised by the IABAC or International Association of Business Analytics Certification, the programme certificate is recognised worldwide and adds immense value to your job profile. Students can take the Certified Data Scientist Finance training in three different learning formats, blended learning which includes self-learning and live mentoring, instructor-led live online, and in-person classroom sessions. 

Besides, DataMites offers a wide-ranging set of study materials, data sets, case studies, cheat sheets, and videos for practical learning. The three-month-long programme also allows students to learn through client projects, internships, and ten capstone projects. 

Furthermore, the Certified Data Scientist Finance Course syllabus focuses extensively on the finance industry, how data science can optimise the workflow processes in the industry, and the limitations of data science adoption. The curriculum is designed to align with the industry demands and job requirements in the current market. 

The aim of the Data Mining with R Course certification course is to educate students regarding the fundamentals of the R programming language as well as Machine Learning concepts and Data Science topics. The course can be pursued in both ways, virtually and in person. 

The course has flexible deadlines and does not limit the student in any way.  Candidates can complete the Data Mining with R Course certification syllabus within 3 months. The course material includes various projects, case studies, video lectures, and an exam. 

The course neither requires any specific academic eligibility nor professional eligibility so that every interested student can take up the programme and learn from it. The Data Mining with R Course online course provides certification upon the completion of the programme only after achieving passing grades in the exam for certification.

In the AI For Decision Making: Business Strategies And Applications certification course, we will learn the theoretical aspects of AI with practical applications across various industries. The programme is designed as an online platform, offering a combination of self-paced video lectures and live online masterclasses. The curriculum is provided with real-world case studies and examples that facilitate a comprehensive understanding of AI's implementation in addressing diverse business requirements. 

Through cutting-edge content and interactive learning experiences, this programme equips participants with the knowledge and skills to effectively apply AI solutions to meet a wide range of business needs. AI For Decision Making: Business Strategies And Applications certification by Simplilearn in collaboration with the Wharton School is a 3-month long course.

AI For Decision Making: Business Strategies And Applications training provides you with the knowledge on how to effectively work with data. We will also learn to utilise the power of machine learning to gain valuable insights from the information available. Moreover, AI-powered data analysis plays a pivotal role in deciphering consumer habits, enabling targeted marketing approaches to reach the most relevant audience.

The pressing need for the requirement of a unified analytics engine for large-scale data processing cannot be underestimated in today’s era. Individuals passionate about building a career in a niche like Artificial Intelligence which involves dealing with a large amount of data find that machine learning is essential for big data to function smoothly. This programme is a boon for such people.

This certification course on Machine Learning With Pyspark For Big Data by Jigsaw Academy caters a special focus on Spark MLib by adopting Python or Scala language. Understanding that Spark or PySpark could be an essential asset for those willing to broaden their knowledge horizons in the field of Big Data, experts at Jigsaw Academy have endeavoured to include all the instrumentalities in Machine Learning With PySpark For Big Data.

Since the course is self-paced and in online mode, candidates can easily access the modules at the comfort spaces of their homes. This would also ensure that they get an in-depth insight into each concept without rushing with the same. The aspect which makes the course stand out is the extra reading sources it provides so that the learning does not stop.

The eCommerce Analytics programme by Jigsaw Academy comprises all the essentials of E-commerce analytics, to help you learn how analytics work in this domain. The course curriculum consists of key E-commerce analytics lessons, including the digital economy, ClickStream Analytics, analytics processes, data analytics usage, customer targeting, market basket analysis, and more. 

Trained experts of the industry have carefully curated the eCommerce Analytics course curriculum to help you master E-commerce analytics and its numerous applications. Moreover, eCommerce Analytics programme also offers several features to provide you with a comfortable and interactive learning experience. The training consists of an online learning module with six months of content access. 

Upon satisfactory completion of the eCommerce Analytics by Jigsaw Academy, you will receive Jigsaw Academy’s certification as well, to help you proceed in this career path.  Candidates receive an easy ticketing system for technical and faculty support to clear their doubts, easy mobile app access, industry-related case studies, and data sets spread across numerous industries. 

The Data Product Manager certification course helps you learn how to leverage market data to amplify product development. You will learn to leverage the power of SQL and Tableau; build data pipelines and warehousing strategies which prepare data collected from a product for effective analysis. Also, the techniques used for evaluating the data from live products.

Moreover, the Data Product Manager programme will help you understand the role of data product managers within organisations and solve problems using data science, machine learning, and artificial intelligence. You will also learn to analyse the results captured in statistical analysis and transform them into insights to inform product designs.

Besides, completing the Data Product Manager by Udacity will make you adept at handling data infrastructure components, including data producers, data consumers, data storage, and data processing. You will become proficient in understanding the type of data that can be collected using quantitative versus qualitative methods, and how to interpret them.

INSAID provides world-class training and education, irrespective of your background. It offers a unique ‘Concept to Context’ approach so that you get knowledge of real-world practices along with useful experience. The Certificate in Data Science Foundation course is provided by INSAID and is an industry-relevant course in Data Science and Machine Learning. 

In the online Certificate in Data Science Foundation course, candidates will be taught the basics of Data Science and Statistics to brush up their skills. Further, they will be introduced to common Machine Learning algorithms and how to apply them to solve real-world problems. INSAID’s world-class learning and career centres provide unparalleled services like access to CATAPULT’s Data Career Labs and Interview Prep Toolkit. 

The candidates enrolled in the Certificate in Data Science Foundation classes programme can also become domain specialists by selecting their domain specialisation in retail, telecom, e-commerce, etc. The course is divided into three terms, with the duration being one month per term. After this, students will undertake a month-long project in which they will implement the course learning. 

The Machine Learning Course will help you become a competent Machine Learning Engineer and open a wide range of job opportunities for you. The course covers all the important concepts related to advanced machine learning. The curriculum includes topics like Statistics Fundamentals, Classification, Recommender Systems, and other machine learning relevant topics.

As a part of the Machine Learning course, you will get 39+ hours of live classes, 13 in-depth modules, 4 hands-on projects, access to 50+ placement partners, 1-1 career mentoring, and 13+ assignments. The assignments provided by Digital Vidya will help you become industry-ready.

Additionally, Digital Vidya offers various capstone projects on Machine Learning to provide experience via hands-on and best possible methods. What’s more, candidates can benefit from Digital Vidya’s placement cell, which provides a 100% interview guarantee.

Most importantly, the Machine Learning certification course will equip you with the core skills to master Python and Jupyter notebooks. The skills gained from this course will help you establish your place in the growing Machine Learning job market.    

The Applied Linear Algebra for Signal Processing, Data Analytics and Machine Learning certification is offered by Swayam. The course will provide you with fundamental knowledge about the core concepts of Linear algebra. Linear algebra plays a significant role in a wide range of fields and has multiple applications, including data analysis, wireless communication, machine learning, finance and control, and signal processing. 

The Applied Linear Algebra online programme is approved by AICTE and has been designed as an attempt to teach the cutting edge and diverse applications of linear algebra. If you are from the IT and engineering field, you will be interested in learning about the advanced concepts as they are extremely significant in multiple industries today. Thus, you can increase your knowledge and hiring prospects by enrolling on the course offered by Swayam in association with IIT Kanpur. 

Besides, the Applied Linear Algebra certification will run for 12 weeks for free, and you can earn an e-certificate by taking a proctored exam. The training is a part of IIT Kanpur’s Faculty Development Programme (FDP). Apart from UG and PG students, practising scientists, engineers, and managers from various fields can purse the FDP.

Introduction to Industry 4.0 and Industrial Internet of Things program is the result of an initiative of the Ministry of Education, Government of India. It is an AICTE approved FDP course that focuses on how industrial processes have changed through the integration of modern technology. These modern technologies include sensors, computational processing, communication, machine learning, the internet of things data analytics, the industrial internet of things, and much more. the Introduction to Industry 4.0 and Industrial Internet of Things certification is designed by IIT Kharagpur, an esteemed institute of education. The educator of the course will be professor Sudhip Mishra, a highly reputed professor with numerous awards. 

Introduction to Industry 4.0 and Industrial Internet of Things is an online course. Participants will be taught the syllabus for a duration of twelve weeks. Along with video lectures, the participants will also have case studies, periodic assignments, and a final exam to help them imbibe maximum information from the course.

Candidates looking for an undergraduate or postgraduate course in machine learning should enroll in the Introduction to Machine Learning program. It is an elective twelve-week course in the field of computer science and engineering, programming, artificial intelligence, and data science. A collaboration of IIT Madras and NPTEL, this course is an initiative by the Ministry of Education, Government of India, and is available on the learning platform Swayam.

Introduction to Machine Learning certification will be taught by professor Balaraman Ravindran. The syllabus includes various topics from the data-driven disciplines such as machine learning and analytics. Candidates will be introduced to different learning paradigms and some popular algorithms and architectures used in these paradigms.  

Introduction to Machine Learning is an online free audit course that offers an e-certificate for interested participants. Candidates will attend the online lectures, and submit assignments periodically. There is also an optional offline examination for participants who want to achieve certification.

The Data Science L3 programme is a 12-week course. It has been designed keeping in mind the rising popularity of data science tools and technologies. You will explore concepts like data wrangling and AI and ML engineering stack and take a deep dive into data science through the course.

The classes for the Data Science course will be conducted online. The expert faculty of IIT Ropar will instruct you. Additionally, you will be guided by experienced industry practitioners in the Artificial Intelligence (AI) and Machine Learning industry. The course will cover topics from data science algorithms and analysis to programming and processing.

Upon completing the Data Science online programme, you will be awarded a certificate. Moreover, you will be adept in the use of data science in your professional life. Throughout the course, there will be assignments to ensure maximum knowledge retention. 

Moreover, you will receive placement assistance from IIT Ropar to kick-start your career in Data Science. After all, there is much scope in this field as high-level digitisation is increasing. 

The Machine Learning & Artificial Intelligence for Mechanical, Civil & EE Engineers using Python online; the programme is a skill development course offered by the online education platform Skill Lync. The course study is about the mathematical principles and ideas associated with the statistical tools of machine learning and artificial intelligence along with the primary concepts of ML and AI to comprehend the data. The online programme is based on python, a programming language which is used for effective integration of systems and is the most desired language for the working of machine learning and artificial intelligence. 

The Machine Learning & Artificial Intelligence for Mechanical, Civil & EE Engineers using Python online certification course consist of course instructors who are professionals who are a part of the fortune 500 companies who provide a wholesome training through online lectures for the candidates to gain deep understanding of the domain knowledge. The course provides individual support to the participants through a support engineer in the course.

The Machine Learning for Engineers using Python Online Course is a specialized course that explores the applications of machine learning and artificial intelligence. The course will cover the concepts of machine learning used by data scientists and data engineers.

Through the Machine Learning for Engineers using Python Certification Course, learners will be introduced to the basics of machine learning and the basics of programming languages like Python. The course is suitable for electrical engineering students.

After completion of the Machine Learning for Engineers using Python Training Course, learners will be granted a certificate of completion, and the best 5%in a class will receive a merit certificate.

Created by the Queen Mary University of London, Data Analytics for Decision Making course is designed to help you learn the principles of data analytics. You will be working through programming exercises in Python to solve basic data analytics problems right beside world-leading experts.

As the world is becoming more data-driven, opportunities for individuals with analytical skills are growing. Employers are looking for such people who can make sense of data by gaining knowledge and insights from the datasets generated around us. To that end, the Data Analytics online course has been created for upcoming data scientists.

From healthcare to transport and shopping, Big Data is increasingly making its way into all businesses. Thus, workers with specialist data skills like data engineers and data scientists are highly in demand. The Data Analytics for Decision Making microcredential course will benefit candidates looking to boost their data science careers and gain data analytics certification.

Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning microcredential is an extensive professional certificate covering a whole skill track to assist you in elevating your Artificial Intelligence career to new heights. 

You will explore advanced data research techniques using Python programming language. Also, this course will guide you through ethics and legal frameworks of AI and machine learning concepts. You will learn the design and implementation of AI solutions on the Azure cloud platform by Microsoft. 

With the help of learnings gained by studying the concepts of Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning course series, you will explore the development of predictive models for AI utilising advanced Azure machine learning. 

The Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning microcredential will equip you with the necessary knowledge about how to implement data research methods for lawful and ethical work in Artificial Intelligence and analytics.

Machine learning certification course by edX primary stage starts from the core development of computer programs that can acquire data and use it to learn for themselves. The course served by edx will guide the candidate through various topics that include, matrix factorization, classification and regression, topic modelling,  sequential models, clustering methods, and model selection. In the first half of the course, we will cover guided learning techniques for regression and classification. 

We will explore several fundamental methods which will be essential for performing this task and optimizing it with algorithms. In the second half of the Machine learning training course, we will shift to unguided learning techniques, where the end output will be more unpredictable based on a corresponding input. Any student or professional with knowledge of undergraduate probability, statistics, linear algebra, calculus, probability, and statistical concepts can enroll in this course. The course has a tenure of 12 weeks, where only 8-10 hours per week can push the candidate towards excellence. Under the guidance of ColumbiaX (Columbia University) after successful completion, every student will get a verified certificate with the institution's logo. Also Read: Machine Learning Practical Applications.

Traditionally, research has been viewed as a purely academic undertaking, especially in resource-limited healthcare systems. Not all countries can afford clinical trials. As such, the findings and results of studies conducted in the United States and other Western and developed countries are generalised. The Collaborative Data Science for Healthcare course shines a light on why there is a need for localised research. 

The Collaborative Data Science for Healthcare programme aims to position research and data at the centre of all healthcare operations. It is an introduction and a survey of all the data science tools that are used in healthcare. The Collaborative Data Science for Healthcare syllabus includes numerous exercises and hands-on workshops to highlight the significance of a multi-disciplinary approach to data science in healthcare. 

Ideally, clinicians and engineers/computer scientists should take the Collaborative Data Science for Healthcare course together, as a team. This Collaborative Data Science for Healthcare classes on data analysis is brought to you by members of the MIT Critical Data team and is a 12-week long free online course. This self-paced programme can be taken either in the paid mode or in the free audit mode. The paid mode will provide unlimited access to the course as well as a certificate of completion whereas the free audit mode will give access only for a limited duration. 

The Analytics in Python course offered by Columbia University available on the edX platform is a well-structured programme equipped with course content designed by experts to enrich candidates with python programming knowledge. 

Data is an essential part of an organization and proficiency in programming is an important skill for effectively imparting knowledge and information from data. The course will help learners in developing an understanding of various topics like web scraping, web crawling, database basics, relational databases, data interchange formats of JSON and XML and text mining. Through the course, learners will gain knowledge to analyze and visualize data and will be introduced with the basics of SQL that they can apply in the programming area. 

The rapidly increasing demand for python as a programming language makes this course a one-time investment for professionals working in this field. The professionals can share the verified certificate provided towards the end of the programme in their LinkedIn profile for their professional benefits.

The Certified AI Professional course is designed to prepare candidates to solve problems in real-world scenarios with the help of Artificial Intelligence, provided to candidates by the National Institute of Electronics and Information Technology, Calicut. This course explains how to formulate Artificial Intelligence (AI) problems and solve them successfully with the help of raw data collected from various domains.

The Certified AI Professional by NIEIT Calicut describes how basic data analysis is done alongside machine learning development methods taught to the candidates with the unstructured & structured data. This course teaches how to make correct predictions and improve AI decision-making skills with the inclusion of images, videos, and texts using natural language processing and deep learning.

This program covers linux basics, data visualization, probability, and statistical methods, all of which enhance the candidate’s AI processes. The Certified AI Professional course also deals with reinforcement study methods, artificial neural networks, and applications of the same in Artificial Intelligence.

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.