Online Data Science Courses & Certifications

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.

Data science has undoubtedly become crucial in every industry today. Organisations of all sizes have started implementing data science techniques for better business and customer satisfaction. Another domain that now utilises data science to increase productivity is human resources. The Certified Data Scientist HR Course will help you know how HR functions can benefit from data science. 

Furthermore, DataMites’s Certified Data Scientist HR online programme has been accredited by IABAC and holds global recognition. This programme includes highly valuable case studies and real-world projects that will help you understand the application of data science tools in the Human Resource domain.  The course curriculum has been curated by specialists and industry practitioners in tune with the industry’s requirements and is highly relevant. 

Lastly, the Certified Data Scientist HR training by DataMites is a professional programme designed as per the job requirement in the market. You can earn a certificate accredited by IABAC after completing this programme. 

Data might be at the heart of a successful organisation, but it is only valid when interpreted. Become a Data Scientist by HyperionDev is a 3 to 6 months programme to teach you how to use the appropriate software to read and interpret visual and statistical data. You will also learn how to present the data in a way that can solve real-world problems. 

Moreover, the Become a Data Scientist course curriculum will include the fundamentals of machine learning and will help you master the Python programming language. You will also use data science libraries, including NumPy, Matplotlib, Scikit-learn, and Pandas. 

Since data has become the most valuable resource in the modern world, there is a huge demand for Data Scientists. The Become a Data Scientist online programme will provide you with the required skills and knowledge to build a successful career in this field. You will also get the benefit of a Bootcamp certificate, career coaching, personal mentorship, and more.

The process or technique of optimization is used to identify the most effective solution. Following the requirement, it may have a minimum or maximum value. Statistical and Optimization Techniques for Data Science online certification is created by Jain University and delivered by Online Jain for individuals who are looking for an extended training program that could assist them in mastering the knowledge of the methodologies associated with optimization techniques and statistical techniques for data science operations.

Statistical and Optimization Techniques for Data Science online classes is a 3-month training program that aims to provide individuals with a thorough understanding of statistical and operations research techniques and their applications in streamlining business procedures and enhancing their capacity for decision-making. With Statistical and Optimization Techniques for Data Science online training, individuals will also learn about linear programming, data visualization, data analytics, prescriptive analysis, variance analysis, chi-square analysis, information systems, assignment models, transportation models, Microsoft Office Suite, and more.

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 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.

As you know, data is at the centre of every successful organisation. It can even be referred to as the ‘heart’ of a company. Thus, the role of data professionals is pivotal to the growth and business decisions taken by any organisation. And the Certificate Programme in Data Science by Eruditus will teach you analytical techniques to treat data and solve business problems.

Besides, according to the World Economic Forum, skills will become much more crucial than job titles by 2022. This means it is critical to upskill yourself and learn some in-demand skills. Moreover, the Certificate Programme in Data Science online programme follows a self-paced format to help you learn with convenience. 

The Certificate Programme in Data Science curriculum will outline the essence of data, the processes involved in a data cycle, descriptive, predictive and prescriptive analysis, and more. The Certificate Programme in Data Science classes will contain the combination of live webinars and video lessons. What’s more, you can receive a completion certificate for the Data Science online course from one of the best B-schools in India.

Imparted by IIM Shillong, the Certificate course in Data Science programme has been developed with the objective of training aspiring data scientists and helping them make a career in this field. Now, what is Data Science? Data Science is basically an interdisciplinary field that utilises algorithms, systems, processes, and scientific methods to extract insights and knowledge from unstructured and structured data. The stream of data science is related to big data, machine learning, and data science. 

Why is Data Science one of the most preferred fields? Since, Data is something around which the world is revolving and is an indispensable part of the industry, several aspiring students are planning to make a career as Data Scientist. Crafted with utmost finesse and expertise by the industry experts, this online certificate course in Data Science from IIM Shillong has ensured that the vast course is easily covered within a span of 3 months. While undergoing this 140+ hours of intensive learning, the candidates gain exposure to handle toolboxes that data scientists need today. 

In the Data Science: Data-Driven Decision Making course, you will engage in practical programming in R language to learn the procedure of harvesting, tidying, and wrangling data. Through the Data Science certificate course, you will also learn how to apply statistical models to simulate complicated functions that solve a wide range of problems.

Moreover, the Data Science course by FutureLearn is offered by Monash University of Melbourne, Australia. In the Data Science: Data-Driven Decision Making certification course , you will learn to establish useful data visualisations for decision-making, and conveying your messages to other people by utilising the grammar of graphics and principles of cognitive perception.

The Data Science: Data-Driven Decision Making microcredential complies with the standards of ‘Common Microcredential Framework’. Thus, you will learn how valuable data is when it becomes the basis to act or make an important decision in the real world. 

Besides, the Data Science: Data-Driven Decision Making online certificate course will inform you about the imperative legal, organisational, and ethical issues of data management and collection as well. 

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 Data Science Bootcamp 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 Bootcamp 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 Bootcamp online program, you will benefit from career services that include one-on-one resume reviews, interview preparation and networking opportunities.

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 SQL for Data Science Certification Course is 12 week long specialized course that discusses the advanced concepts of SQL. The course available on the Skill-Lync platform aims to educate learners about the practical and real-world applications of SQL in the data science field.

Through the SQL for Data Science Training Course, learners will cover topics like syntax for SQL commands, integration of SQL with programming languages, and examples of real-life data sets. The course is suitable for anyone interested in the domain of computer science engineering.

After successfully completing the assessment processes of SQL for Data Science Live Course, learners will receive a certificate of completion. The top 5% of learners in a class will get a chance to win a merit certificate. Candidates have the option to opt for a demo session before deciding to enroll in the course.

Students will be guided by Data Science Bootcamp certification course experts through the fundamental knowledge and practical skills necessary to start a successful career in data science. Learners will study data science's foundational theory and applications in the Data Science Bootcamp training.

This course is offered by the Code Labs Academy which will provide deep learning in data analytics, machine learning, and data science to the participants. The boot camp focuses on providing students with hands-on experience with real-world datasets and industry-relevant projects, teaching participants how to extract insights, build predictive models, and make data-driven decisions.

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Aspirants learn to develop communication skills in a data-driven culture by taking up the Data Science (Online) programme. It is an executive programme extended by Haas Berkeley’s Executive Education (ExecEd). Learners will use mathematical and statistical concepts to analyze and interpret data and analyze data using Jupyter Notebook – an interactive open-source platform used for computational analysis.

A weekly ‘prep session’ is arranged to introduce the preceding module for candidates’ understanding. Over ten weeks of Haas UC Berkeley ExecEd's Data Science Online course, students will be exposed to data manipulation techniques, with various company examples and industry case studies, spread across the eight learning modules. 

A verified certificate by Haas UC Berkeley also becomes available once candidates fulfill the qualification criteria. Moreover, the Data Science Online certification course is led by some of the top industry experts on digital transformation through live webinars and sessions, along with academic experts. 

Throughout the online programme, students can engage in peer discussions under the supervision of the program facilitators and access different quizzes and assignments to revise the topics learned in the course.

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 Wrangling with MongoDB online course is a part of the Data Analyst Nanodegree, offered by MongoDB, in association with Udacity. It will teach you about data wrangling from diverse sources and how to shape it to facilitate data-centred applications. You will also learn how to extract and gather data from popular data formats.

The Data Wrangling with MongoDB certification syllabus includes the fundamentals of data extraction, assessing data quality, and data cleaning’s best practices.  The curriculum has seven broad lessons that are further divided into different modules. You can finish the whole course in approximately 2 months. What’s more, instructors will familiarise you with MongoDB, data storing essentials, MongoDB’s query language, and its aggregation framework.

The Data Wrangling with MongoDB training by Udacity is a self-paced intermediate course that consists of multiple learning aids. These include instructional videos, practice exercises and quizzes. This is an excellent course if you want to apply for entry-level data science positions or are a working professional.

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. 

Data science is the study of using machine learning techniques and statistics to analyse raw data and find patterns and information. Several industries use it to make better business decisions, and researchers employ it to test out models or theories. The Data Science for Engineers programme will explore two main concepts, Big data and Data Science. 

Data Science for Engineers certification syllabus has been designed in association with NPTEL and IIT Madras. Professors Raghunathan Rangasamy and Shankar Narasimhan will teach the course, which aims to introduce participants to programming language R, familiarise them with mathematical foundations for data science, study data science algorithms, and provide practical knowledge using case studies. 

Data Science for Engineers training is an eight-week online course with the option to obtain certification. Candidates will have to submit periodic assignments and appear for an end-of-term offline exam to qualify for certification. Furthermore, organisations like Honeywell, Gyan Data Pvt. Ltd., Ford, and ABB, recognise this programme, and thus, learners can seek job profiles in similar industries. 

The Data Science for Business Leaders course by Udacity imparts knowledge to the candidates in various techniques and technologies in data sciences field that would help them to improve their decision-making skills in a technical or IT environment. Data Science for Business Leaders training starts by providing an introduction to Data Science and talks about human capital in data science and business cases in Data science. Concepts in Machine learning are also taught in brief.

This Data Science for Business Leaders syllabus covers concepts like area, types of model, approach, and strategies that involve launching data science projects. Project works are provided and the candidate has to figure the cost, complexity, risk, likelihood and importance of that project. Participants would be able to identify the strengths and weaknesses of business data by taking Data Science for Business Leaders classes . 

The management strategies that are involved in the successful completion of a project are also discussed. Data Science for Business Leaders certification will help the candidate to know about data scientists and what is possible through data science.

Data Science: Linear Regression online course offered by edX is an opportunity for the candidates to get insights about data science and linear regression. It covers implementation of linear regression and adjusting for confounding in practical work while using R. 

The Data Science: Linear Regression certification programme at a stretch of 8 weeks, gives its candidates exhaustive knowledge about linear regression and its applicability. The video-based, self-paced learning course is offered by Harvard University. The course is an ideal opportunity for the candidates to learn the subject through data-driven case studies for a better understanding of the subject. 

The Data Science: Linear Regression classes programme is free to access for everyone. However, to get the verified certificate, the candidate must need to upgrade to the verified track. During the audit track, the candidates will be able to access the course for free but that too only for a limited period. The Data Science: Linear Regression training is instructed by Rafael Irizarry, the professor of Biostatistics, at Harvard University, to make the candidates professionally skilled and enabled for a promising future ahead.

The Data Science: Productivity Tools certification course will be helping the students to organise and keep their projects and assignments in a structured way and reproduce the files and reports using tools namely- git, GitHub, RStudio and Unix/Linux. The Data Science: Productivity Tools online programme will be teaching the participants the different techniques to use the Linux and Unix tools for managing the data files and the directories that are present in the computer. Candidates will further be introduced and taught the importance of system git which is a powerful tool that will help to keep track in case there is some change in the tracks of the reports and files. 

The Data Science: Productivity Tools by edX will further help the applicants learn the basic functions while making a report in R functions and the ways to incorporate the provided code into the document. The eight-week Data Science: Productivity Tools certification programme will involve multiple projects and parts comprising- different scripts and data files. The course offers 2 tracks of study that can be chosen by the candidates - one is the audit and the other is the verified track. In these 2 tracks, the candidates can study in a self-paced mode. Though the course can be learnt by self, the candidates will have limited access to materials during the audit mode, and unlimited access during the verified track.

In the Data Science: Wrangling course by edX a piece of our Professional Certificate Program in Data Science, we cover a few standard strides of the information fighting cycle like bringing information into R, cleaning information, string handling, HTML parsing, working with dates and times, and text mining. 

Data Science: Wrangling certification is offered by the platform of edX in association with Harvard University. Professor Rafael Irizarry aims to provide the candidates with the skills and insights about Data Science and subjects associated through videos and discussion forums.

The candidates are provided with the online Data Science: Wrangling certificate with the signatures of the instructors on it. Data Science: Wrangling classes being a self-paced course offers flexibility to its candidates to learn at their own pace and comfort. Among the two tracks, the candidates will be able to choose either the verified track or the audit track. In the audit track, the candidates will be able to learn and complete the course within a limited period. Again, on the other hand, the students will be learning the course for an unlimited period.

The candidates can also opt for an associate programme on Data Science offered by edX again for a better understanding and in-depth knowledge about the subject along with Data Science: Wrangling training. 

Data Science: Visualization certification course is an introductory course about data science. The topics it covers are the basics of data visualization and data analysis. This course includes case studies on global health, economics, and trending diseases in the United States. This course is a part of the professional certificate programme. Data Science: Visualization training entails looking at mistakes, biases, and many other systematic errors in data that need special care. It is very difficult to spot mistakes within a dataset, for that matter, it is particularly important. 

Data Science: Visualization online course is verified by one of the leading institutions of the world, Harvard University. The courses offered by edX offer financial assistance to economically weaker sections. A 90% financial assistance will be offered to those who fit the criteria. The candidates will be able to access the course materials only for a specified period when it comes to learning in the audit mode. Again, in the verified mode, the candidates will be able to access the course materials for an unlimited time period.

The Data Science: Visualization classes program is shareable on all platforms. The enrollees can add it to their CV or resume. The digitisation of the modern world has led to growing demands for data visualization. Through Data Science: Visualization training, the enrollees will be able to access profitable skills for future careers that will be based on data visualization.

Measurable deduction and displaying are vital for investigating information influenced by some coincidence, and hence basic for information researchers. In the Data Science: Inference and Modeling certification course, you will become familiar with these vital ideas through a spurring contextual investigation on political decision gauging. 

Data Science: Inference and Modeling certification course will show how derivation and demonstrating can be applied to build up the factual methodologies that make surveys a powerful apparatus and we'll tell you the best way to do this utilizing R. Students will learn ideas important to characterize evaluations and edges of mistakes and figure out how you can use these to make expectations moderately well and give a gauge of the exactness of your estimate. 

When candidates gain proficiency with this, they will have the option to comprehend two ideas that are universal in information science: certainty stretches, and p-values. At that point, to comprehend articulations about the likelihood of an up-and-comer winning, candidates will find out about Bayesian demonstrating. At long last, toward finishing the Data Science: Inference and Modeling training, Harvard University will assemble everything to reproduce a disentangled adaptation of a political race conjecture display and apply it to the 2016 political race. 

The course is self-paced but the candidates need to select anyone from the audit or the verified track. There are two basic differences between the two tracks. In the audit track, the candidates get only a limited period of access to the course materials without having to pay any money. Again on the other hand the candidates who choose the verified track get unlimited access for viewing and learning the course materials.

The Principles, Statistical and Computational Tools for Reproducible Data Science course has been meticulously created keeping in mind the wide usage and huge importance of reproducible research across various disciplines. The Principles, Statistical and Computational Tools for Reproducible Data Science certification thoroughly covers all the fundamentals of reproducible science in a very lucid manner and adds on to various useful computational tools, thus appealing to a very wider audience in various fields like data science, bioinformatics, biostatistics, computational biology etc. 

The 8-week self-paced Principles, Statistical and Computational Tools for Reproducible Data Science classes are the perfect blend of video lectures, case-based studies and computational tools and can act as an asset to the knowledge of reproducible science of the candidates. Various intricate nuances such as data provenance have also been thoroughly explained in the course material. The best practices prevalent in pattern designing are also shared with the candidates. The Principles, Statistical, and Computational Tools for Reproducible Data Science online course encourages the candidates for peer-to-peer engagement for a great network and also acts as a place for intellectual and intense discussions on the topic.

There are two pathways in which enrolling in this course of edX is possible. One is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.

The participants can register and learn the difficult concepts and topics in the theory of probability. The basics of probability have been well cleared by experts at every point in the Data Science: Probability online course.

The Data Science: Probability certification syllabus comprises assignments, exams, and projects at the end of every concept. Different important concepts such as variables, and standard errors have been well taught in Data Science: Probability training. To understand the foundation, the basic terms will be cleared in the initial phase followed by the complexity in the next level.

At the end of the Data Science: Probability programme, the candidates will get certificates that help them stay motivated. The candidates can share it or add it to their resume. Adding it to the resume or CV helps them get better jobs or hike in the salary. The process of learning in the Data Science: Probability online certification is so clear that the candidates will have a firm understanding of the topic. There are 2 pathways to enroll in the course, one is the verified track, and the other is the audit mode. During the audit mode, the candidates shall have limited time access to the course, but access becomes unlimited during the verified track.