List of Online Courses and 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.

The Programming for the Web with JavaScript online course is one among PennX’s ‘Computer Science essentials for software development’ program developed by the University of Pennsylvania. This course is provided by the education platform Edx for the students who wish to learn about the basics of data interaction on the internet along with concepts and ideologies to make strong web applications using JavaScript.

The course educator for this online program is Chris Murphy who is a senior lecturer in the department of computer science and Swapneel Sheth, a senior lecturer in computer and information science at the University of Pennsylvania. This intermediate-level course will enable the students to acquire knowledge about the advanced web page layout and design tools like Bootstrap. 

In this course, the candidates will get an opportunity to work with jQuery for Document Object Model(DOM) manipulation and event handling. This course will teach the candidates to create data-driven applications and integrate them with databases like MongoDB. The ‘Programming for the Web with JavaScript’ training is for four weeks with six to eight hours per week.

The Data Science and Agile Systems for Product Management Live Course is an intermediate-level course that deals with the new and advanced methods in data science and agile systems. The course will analyse the product management processes that deliver faster, higher quality, and fault-tolerant products regardless of the industry by utilizing the latest in Agile, DevOps, and Data Science.

The Data Science and Agile Systems for Product Management Certification Course is a self-paced course that is taught within 4 weeks allowing the learners to progress at their own pace. The course offered on the edX platform will be coordinated by John Johnson, distinguished faculty of the University of Maryland.

The Data Science and Agile Systems for Product Management Training Course helps learners achieve a Professional Certificate in Product Management. There are no prerequisites mentioned for the course. The Data Science and Agile Systems for Product Management classes will be conducted through online study materials. The final performance of the candidates will be assessed through graded assignments and exams. EdX provides two different options to join the programme, namely, verified and free tracks. The verified mode provides unlimited access to the course and a certificate of completion whereas the free mode will give audit access to it for a limited period. 

The ‘Decision-Making Under Uncertainty’ online course is a study about the various kinds of techniques and strategies used in decision-making for different situations. This operations research and management science course is provided by the online education portal Swayam by the government of India with the National Programme on Technology Enhanced Learning (NPTEL). The online classes of this elective program are conducted for a duration of four weeks. 

This course belonging to the domain of commerce and operations management is instructed by Prof. Natarajan Gautam teaching Industrial and Systems Engineering from Texas A&M University. The students of this AITCE approved course are engaged with online learning methods aided by the online resources and lectures with the books and reference materials to gain both theoretical and experimental knowledge.

The ‘teaching Industrial and Systems Engineering’ online training enables students to get an online course certificate and academic course credits after completing the program.

We live in a world driven by data, and through the Introduction to R for Data Science course, you can learn how to make the most of it using the R platform. This programme will take you through the various essential concepts of R, starting from how to download, install, and run the platform on your machine. 

Introduction to R for Data Science course, you will work with airline data and learn how to manage data using R. This is an introductory programme in R and data science, created for beginners who want to pursue this field and gain the foundational knowledge. Purdue University, USA, has developed this Course which is entirely free of cost on Future Learn.

If you want to study more advanced concepts and theorems of data science and R, then the Introduction to R for Data Science programme by Future Learn will be the perfect beginner course for you. Moreover, you can avail of this module for free or choose to pay for upgraded services and enjoy enhanced benefits by Future Learn. 

The Introduction to Process Mining with ProM course is being imparted by FutureLearn to provide the learners an understanding of process mining. This course has been developed by Eindhoven University of Technology, it is a design-oriented and research-driven university of technology. Process mining integrates business process management along with data science.

Taking the Introduction to Process Mining with ProM classes will teach the participants how to use a free, open source process mining framework to visualize, analyze, and improve processes based on data. 

Participants will be able to visualize and analyze business operations based on the recorded event data of their logs.  By pursuing the online Introduction to Process Mining with ProM certification programme will develop a critical and a process-centric perspective towards data, which is not possible in case of machine learning techniques or classical data mining. The Introduction to Process Mining with ProM syllabus has been designed in a manner that will develop proficiency in various process mining techniques such as social network analysis, conformance checking and performance analysis. Learners will be equipped to analyze the usage of public transportation by people, substantiate whether the bank loan application process is executed correctly, assess the learning behavior of students in a MOOC for course contents improvement and to predict when hardware parts are likely to break down.

The  Process Mining in Healthcare course by Future Learn is a special course that teaches all about the process of mining and gives a detailed study and explanation for students.

The students will obtain various skills and techniques of process mining such as analyzing healthcare data, improvising, using the ProM lite tool, event log filtering, event log inspection, and so on. The duration of the Process Mining in Healthcare classes are four weeks. By the end of the fourth week, students will gain plenty of knowledge and skills in process mining. The curriculum is designed by professionals in such a way that every topic is covered in these four weeks without any rush.

This Process Mining in Healthcare certificate course is developed by the Eindhoven University of Technology which is a prestigious research-driven university of technology. The Process Mining in Healthcare syllabus is designed by the universities which let the students have in-depth learning and understanding about the concepts. The professors taking the Process Mining in Healthcare classes are highly-trained and experienced in the subject who are from popular universities. It is an online course where students can learn from the comfort of their homes. Overall, it is such a well-designed course that creates an opportunity to study process mining. 

Also Read: Introduction to Process Mining with ProM

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. 

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.

Artificial Intelligence is an emerging field with numerous applications in different domains including science and technology, healthcare and even education. Students irrespective of their educational background are fascinated by the possibilities they can explore in AI. Thus, they need a course that not only confines them to theoretical aspects but also provides them practical exposure and leaves them with novice ideas for building a career.

In Introduction to Artificial Intelligence (AI) Certification by Coursera, course participants, besides getting a basic insight into Artificial Intelligence, will explore various cases and applications of AI. Introduction to Artificial Intelligence (AI) Certification Syllabus shall help them understand the terminology and concepts like deep learning, machine learning and neural networks. It will also provide exposure to out-of-the-book concepts in AI like ethics and bias.

Being a beginner-level course, learners need not possess any computer science or programming expertise beforehand. Anyone with or without a technical background shall acquire skills while studying at their own pace in online mode with flexible deadlines. The Introduction to Artificial Intelligence (AI) certification course is developed by IBM 

The IBM curriculum developed Data Visualization and Dashboards with Excel and Cognos online course helps the candidates to learn data visualization and dashboard creation using tools such as Excel and Cognos Analytics. The programme is planned to run for four weeks with a final hands-on project in the last week of planning. The Data Visualization and Dashboards with Excel and Cognos syllabus is planned for a duration of 15 hours with a beginner level difficulty. The programme helps the candidates who do not have a strong foundation in data analysis, programming or coding to learn data visualization and dashboard formation in an easy hands-on way. The candidate pursuing Data Visualization and Dashboards with Excel and Cognos by Coursera will be instructed by three seasoned experts from IBM and SkillUp Technologies in the area of data analytics and visualization. The candidates who complete the programme successfully will be awarded a verified certificate from Coursera medium.

Data is an integral part of every field and is relevant to a large variety of audiences. Depending on your domain, you must know how to interpret, analyse and visualise data to your advantage. Unfortunately, most of us were never taught how to do so and cannot use data wisely. The Essentials of Data Literacy online course provided by edX is an attempt to help you build your data skills to accelerate your career.

The Essentials of Data Literacy course curriculum will take you through the different stages of the data lifecycle and teach you how to manage, analyse, and communicate with data. It is a four-week-long introductory programme that falls under the Data Analysis and Statistics domain. An offering by edX, this course has been designed by Davidson College to benefit a wide audience.

You can enroll in this course for free by taking up the audit track and setting a course goal for yourself. The audit track will give you free but unlimited access whereas the verified track requires some amount to upgrade and access the course for a lifetime. Moreover, after understanding the importance of data, you can earn an Essentials of Data Literacy certificate by paying the certificate fee. 

Foundations: Data, Data, Everywhere Certification by Coursera introduces learners to the domain of data analytics with a hands-on curriculum curated by Google. The course material deals with ample key data analytics topics comprehensively and provides learners with industry-oriented learning through practice exercises, expert training and readings. The course will be delivered by current Google data analysts. 

The mode of instruction and course delivery will offer excellent learning exposure with access to and knowledge of the best tools and resources. Foundations: Data, Data, Everywhere Certification Course can be pursued by anyone without any previous experience. The interested candidates have the leverage of pursuing the course with a flexible schedule and practising what they have learnt by revisiting video modules and resolving quizzes multiple times. The course ensures learners get technical knowledge of tools and understand how to implement the same.

Foundations: Data, Data, Everywhere Certification Syllabus has been designed in a way that candidates can learn about the key analytical skills involved in this domain, including data cleaning, data visualisation and data analysis. It will help them discover certain practical concepts like the data analysis process and data life cycle.

Ask Questions to Make Data-Driven Decisions is the second course in the Google Data Analytics certificate series. This particular course would teach the skills required to apply for data analyst positions at the introductory stage.  The applicant will learn from the topics presented in the first course on Google data analytics. The material will allow registered candidates to learn how to make successful data-driven decisions while being connected with the needs of stakeholders. 

Google's current data analysts will continue to train and offer students handy ways of performing the most advanced techniques and resources for basic data analysis activities. Candidates can get different opportunities to learn the dynamics and fundamentals of data-driving mechanisms. By the end of the course, the candidate will get Ask Questions to Make Data-Driven Decisions certification. 

Complete online training will be provided to the candidates, and the course is provided by the Google instructors. The candidate will get an opportunity to learn from the top instructors with constant mentor support. At the end of the course, participants will be awarded a certificate.

The Dynamics 365: Using Power Platform Applications certification course is based on the Microsoft power platform. The course is also available for free for a limited period. The course helps the participant gain knowledge regarding enhancing the business processes. 

Students who join this course will also learn about building a basic model-driven application, evaluate the components of the platform, etc. Overall the course talks about aspects that can help the participants in their business area. The course does not require any admission fee or limits the participants to attend the classes on time. The programme is a self-paced learning programme that lets the participant choose their own study schedules with no deadlines. 

The Dynamics 365: Using Power Platform Applications certification syllabus is available for a duration of one month. The course material is also available in the course. At the time of completion, students get to attain a certificate for the programme.

Students who enrol for Google Data Analytics Capstone: Complete a Case Study certification course will be able to attend online sessions with no restrictions regarding time limitations. The course is offered by Google and talks about data analysis. The course helps the student prepare for jobs in the relevant field.

The Google Data Analytics Capstone: Complete a Case Study online course includes video sessions, readings, practice papers, quizzes, assignments as the study material of the programme. Along with the available pedagogy, the course also involves a case study that helps the students gain information on how the organizations work in the market.

The course is a part of the Google Data Analytics Certificate and needs only 13 hours for completion. The course is available for free as well as with a subscription. The course also allows students to have financial aid according to their requirements. By the time the course ends, students get an opportunity to achieve a certificate after completion of their graded assignments.

This course will educate candidates on the significance of data science in boosting data-driven innovation in businesses. The Data Science for Business Innovation certification programme has been developed to teach central data science concepts, including machine learning, data communication, big data and data valorisation. 

The Data Science for Business Innovation online course by Coursera also sheds light on Data Science’s tools and techniques, success stories, terminology, use cases and various applications. You will also explore its more technical aspect by learning about semi-supervised, unsupervised and supervised techniques. Furthermore, the distinctions between prescriptive, predictive and descriptive analytics will be discussed.

The Data Science for Business Innovation syllabus covers important topics such as regression, clustering and classification methods. Also, you will study data analysis, pros and cons of different machine learning methods, data needs and practical applicability issues. With the help of this course, you will understand the roles and impact of NoSQL data models and scalable cloud-based computational platforms.

Advanced-Data Analysis for Marketing Decisions (Online) certification is a 24 days course that is conducted online by the Indian Institute of Management, Ahmedabad. Since the markets are turning out to be excessively competitive and diverse, making key business decisions has become challenging, so this course will help the marketing professionals in simplifying this process.

The Advanced Data Analysis for Marketing Decisions (Online) certification syllabus covers the basic tools required for advanced business decisions in organisations so that professionals are able to make segmentations, design products, their pricing, and then design marketing strategies. The syllabus usually uses a 3 fold approach that can enable the participants in defining a marketing problem, perform data analysis, and then finally use this data for decision making.

The Advanced Data Analysis for Marketing Decisions (Online) training will expose the students towards Data Mining, and other approaches (if any) to different statistical data analysis that is becoming increasingly available for several other industries like telecom, retail, sports, and more.

Also Read: Marketing Analytics Certification Courses

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.

Business and analytics go hand in hand in the technologically advanced era. It is crucial to know about making data-driven decisions with the help of business acumen and raw data. Incidentally, the Introduction to R Programming and Data Analytics programme is designed to help the candidates with the same. It is an online, short-term training that houses nearly 15 hours of interactive lectures. Candidates have to attend weekend sessions. 

The IIT Kharagpur Introduction to R Programming and Data Analytics course is offered by Vinod Gupta School of Management, IIT Kharagpur, India. The instructors of the course will comprise faculty members of IIT Kharagpur, along with industry leaders who will deliver the lectures. The curriculum involves live lecturing sessions, case study discussions, hands-on practices, and live problems for better and immersive learning outcomes.

Moreover, the Introduction to R Programming and Data Analytics online course has a follow-up course: Data Analytics with R Programming. It will be conducted post the conclusion of this one. The programme is aimed at developing the candidates into introductory data scientists and adept data analysts who have a thorough understanding of the applications of analytics in managerial positions.

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. 

The ‘Structured Query Language (SQL) using SAS’ online certification program is designed for the students to develop their knowledge on the aspects of SQL programming language to make effective reports and queries of the data through the Statistical Analytical System programs. This certification course is provided by the Coursera education portal. The students of this free online course can complete this online training with a total period of three weeks in a span of three weeks.

This course is a part of the SAS Advanced Programmer Professional Certificate training and is led by the course instructor, Peter Styliadis who is a senior associate technical training consultant at SAS Education. The course enables students to engage themselves in hands-on learning methodologies such as videos, reading exercises, practical activities, quizzes, case studies, and other resources. 

The ‘Structured Query Language (SQL) using SAS’ online training program enables students to receive a course certificate that can be shared online for their career development. 

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. 

Performing data science with Azure Databricks requires about 3 weeks to complete. Microsoft is the associate of Coursera in designing and delivering the online programme. This certification is a sub-programme in the five-course umbrella programme of the Microsoft Azure Data Scientist Associate (DP-100) Professional Certificate. As experienced and expert professionals prepare the programme at Microsoft, the learners can have intensive training on data science processes with Azure Databricks, Databricks Azure, Azure Spark and Apache Spark. 

Perform data science with Azure Databricks Certification Course, offered by Coursera, an intermediate-level programme. The learners of this programme should have experience with using  Python for data exploration and machine learning models with open-source frameworks, such as TensorFlow, Scikit-Learn and  PyTorch. Perform data science with Azure Databricks Certification by Coursera can be taken and covered at the learners’ pace. 

The Coursera Business Intelligence Concepts, Tools, and Applications programme is the fourth course in the Data Warehouse for Business Intelligence specialisation. This course will help you master the core concepts and fundamentals of data warehouses essential for business intelligence. The certification course will also equip you with the best practices and skills to become a business intelligence developer. 

Moreover, the Business Intelligence Concepts, Tools, and Applications certification course has modules spread across five weeks, which you can complete in approximately 21 hours. You will become familiar with how business intelligence technologies support the decision-making process in several business sectors. You will also get the opportunity to combine your theoretical concepts with practice straightaway.

What’s more, the Business Intelligence Concepts, Tools, and Applications online course helps in interacting and improving core abilities with exposure to a vast curriculum and assignments. You can develop your skills in Business Intelligence and Data Analysis with the help of this course. Besides, Coursera also provides a certificate on completing the course. 

The Data Science 360 Course enables the students to discover the significance of the data science field that transforms the data-driven industry and digital technologies. The course is offered by the online education provider platform, Analytixlab. The course consists of classroom learning, online pedagogy, and self-study options that will take five hundred hours in total to complete the course. 

The data science course study consists of forty-six classes with eighteen assignments and projects for the students to have an experiential learning process. The courses included are analytics edge, data science with python, and machine learning programs. The ‘Data Science 360 course’ training program equips the learners with skills in data visualization, descriptive analytics with predictive modeling with the knowledge of machine learning techniques for effective decision making in the business industry. The primary skills of data science and comprehensive understanding of the concepts allow the candidates to aspire for job opportunities in leading companies.

With the advent of computational technology, analytics has become an essential part of running a business. Therefore, to gain a competitive advantage as a manager, you should be able to combine raw data with business acumen. The Advanced Data Analytics with R Programing certification course has been designed to help aspiring Data Analysts and introductory Data Scientists by focusing on managerial applications of analytics.

The Advanced Data Analytics with R Programing training course provides you with the opportunity to learn from the esteemed faculty at IIT Kharagpur as well as some industry leaders. This is a short-term course that will take place over a weekend and consist of 15 hours of interactive training. You will have to attend 6-hour sessions over a weekend. 

Further, the Advanced Data Analytics with R Programing by Vinod Gupta School of Management will consist of hands-on exercises, lecture sessions, and discussions on real problems and case studies. Upon completion, you will be eligible for a certificate from Vinod Gupta School of Management, Indian Institute of Technology Kharagpur.

Digital Literacy has turned out to be one of the most popular terms in the arena of business, owing to speeding advancements in Computational Technology. Businesses require more than a mere acquaintance with the term Digital Literacy, which is an in-depth knowledge of how this works. This understanding is the key to successful businesses in the ongoing digital era. Digital Literacy with IoT, Cloud, Data Analytics, and AI: Key Knowledge and Managerial Perspective has been designed to fulfil the aforementioned requirements of the business industry.

This course aims at granting candidates a professional advantage over their peers. It enhances their understanding of key concepts including tools such as Cloud, IoT, and Data Analytics. It also touches upon data-driven decision making and AI. This programme brilliantly connects the dots of each adjoining concept so that learners become 'digitally literate' in the actual sense. 

Since the course has been created by IIT Kharagpur in collaboration with Vinod Gupta School of Management, it has strong institutional backing by experts of one of the premium engineering institutions of India. It is a short-term weekend course, allows candidates to learn at their own pace while teaching more in a short span.

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 2 weeks and the classes will be completed within the time frame of 10 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. 

The Excel Power Tools for Data Analysis Training course will teach us about the power analysis tools such as Power Query, Power Pivot and Power BI. How to use these tools in the process of importing and preparing data for analysis, making an analytical database inside the excel workbook and creating interactive reports and dashboards in MS Excel.

The Excel Power Tools for Data Analysis Online Course will be of 2-weeks duration and will be instructed by Nicky Bull, lecturer and lead content designer at Macquarie Business School and Dr. Prashan S.M. Karunaratne, senior lecturer, Macquarie Business School.

This Excel Power Tools for Data Analysis Course is the third and final course part of the excel skills for data analytics and data visualisation specialisation. This course will teach us about the use of these three powerful tools in MS Excel and what DAX means.