Online Data Science Courses & Certifications

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

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

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

The Data Science Tools certification course from IBM provides you with a background on popular data science and data visualisation tools, including RStudio IDE, Jupyter Notebooks, and Watson Studio. Learn about the proper usage of each tool and how data scientists utilise these tools today. You will also get to understand what programming languages the data science tools can execute and what limitations and features they possess. 

The seven-week-long Data Science Tools programme is introductory and belongs to the Data Analysis and Statistics domain. Besides, the tools will be hosted in the cloud, and you will learn to follow instructions and test the tools to run simple code in R or Python. For finishing the training, you will complete a final project on IBM Watson Studio with a Jupyter Notebook on Cloud.

Moreover, you must demonstrate your expertise in writing Markdown, preparing a notebook, and sharing your work with peers. This hands-on Data Science Tools training will familiarise you with some of the most in-use, greatest, and latest data science tools. The course curriculum, divided into six modules, allows you to learn through lab sessions, assignments, graded quizzes, practice exercises, and more.  

Learners may choose any track from the two mentioned ones: audit and verified. These tracks are self-paced and offer limited and unlimited accessor audit and verified tracks respectively.

Data Science for Business Decision Making course is being imparted by Emeritus and Alliance Manchester Business School to help the learners understand the various concepts of data science. It aims to provide the participants with fundamental data science skills to resolve their real-world business problems.

Through this course, the participants will be trained in basic coding skills, tools, and techniques for assessing and sharing data for data manipulation and implement statistical modelling. They will be given an applied understanding of data science and its use for management and business and practices. 

They will learn about the basic commands, data analysis, and functions in the R programming language, predicting prices, sales, classification tools, key programming tools for data evaluation, and visualisation for improving understanding and communication. They will be equipped with the skills to process, model, analyse, and share data. Participants will be able to combine their business expertise with data skills in order to make management decisions and gain better business outcomes while dealing with real-world challenges

Spatial Data Science and Applications certification course is a specialized course for the learners seeking for understanding Data Science and its applications. Programming and analysis are needed everywhere. Every big company today needs employees with skills to operate analysis related to data structure and the study of the whole data format. 

Such need and study have brought a new requirement in today’s operating market which helps in gaining necessary information about various aspects of data structure. Topics like DBMS, SDBMS, HDFS and others are explained thoroughly under this course. With flexible deadlines, this Spatial Data Science and Applications online course is a one-stop destination for the learners seeking proper knowledge under this course. 

The duration of Spatial Data Science and Application training course is 6 weeks and is available for the learners with a genuine interest in the subject. 

According to a Deloitte report, 34% of commercial real estate firms in North America want to expand their expenditure in data analytics in the coming year. Real estate investors and professionals can now conduct more accurate property appraisals than it has ever been, just because of data analytics and machine learning. The Data Science in Real Estate online course is designed to help students develop data science abilities in the constructed environment's context.

According to a PwC report, 55% of commercial property CEOs think that leveraging data to improve customer satisfaction and generate a competitive edge is a top priority. Throughout the Data Science in Real Estate training, renowned MIT academics and industry professionals teach how to use statistical approaches to uncover crucial insight into factors that influence development prospects and real estate investment.

The Data Science in Real Estate syllabus teaches students how to assess and organize data, extend data sets, and build a variety of models that could be used to evaluate industry patterns and anticipate real estate values.

A Business Wire report states that 99% of Fortune 1000 firms are investing in data efforts. Big data has revolutionized and continues to revolutionize the global corporate landscape, analysts and data scientists are emerging as valuable assets inside enterprises. The Data Science Essentials online course is designed to teach students the principles of data science as well as the needs of big data analytics.

According to a Research and Markets report, The worldwide worth of the big data analytics industry is expected to be $105 billion by 2027. Working professionals and managers must now grasp the ideas and benefits of data science and utilize it to influence company choices as well as retain and recruit the appropriate personnel to drive transformation. The Data Science Essentials Training teaches the fundamentals of data science for enterprise, helping applicants to identify the value of its technology and use it to achieve success.

The Data Science Essentials syllabus supplements decision-making skills by emphasizing non-technical abilities such as data science project management and execution. This course, led by I School specialists, prepares business executives to grasp the function of data science, its potential relevance for the development of the firm, and how it may be applied in business processes.

In the Introduction to Data Science online course, the students will be getting to learn about the importance and applications of data science and the use of algorithms in it. The course has been designed for six weeks. The online programme on Introduction to Data Science training by edX will be digitally hosted and covered by IBM. 

Imparted by data scientists, this programme will require 3 to 6 hours per week of study. This Introduction to Data Science classes program covers a span of topics that will enable candidates to learn about data science, tools, algorithms and other elements utilised in a business scenario. The programme is pursued online wherein the candidates can enrol as per their convenient schedule. 

Since the programme is taught by data practitioners, candidates will gain the opportunity to learn the importance of data science in present times and in times to come. A most sought-after programme, candidates can also take up other associated programmes such as Data Science Foundations, IBM Data Science and Essential Technologies for Business. Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

The Learn Go Programming Language (M) by IIT Kanpur covers every nodal conceptuality associated with Go Programming. Learners, irrespective of their previous experience, get to learn online at their own pace. Go Programming Language (M) Certification Syllabus will strengthen their concepts of data types, relational operators, for loops and conditional statements like if and switch. In addition to this, candidates can easily pursue this 6 weeks programme in a self-paced mode. The Crash Course in Go Programming Language (M) syllabus has been designed in a way that it covers all the aspects of Go programming language despite being a crash course. Imparted by the expert faculty of IIT Kanpur, they ensure to deliver Crash Course in Go Programming Language (M) classes via online mode, videos, assignments, discussion forum, etc. 

The Introduction to Data Science certification course aims to teach you about the core Data Science technologies and concepts. During this six-week-long programme, you will learn about basic syntax, programme control flow and data types/structures in Python. You will also study the fundamentals of Statistics and linear algebra along with their uses in Python.

The Introduction to Data Science online programme by Metis comprises 36 hours of live online classes. Thus, you will learn from an expert instructor in real-time while interacting with them or your classmates simultaneously. You will also explore data acquisition, model creation, feature engineering, data aggregation and more.

Metis’ Introduction to Data Science online training also provides you with the knowledge of supervised learning approaches. Therefore, you will get familiar with topics like the random forest, decision trees, vector machines, etc. You will work on a mini Data Science project during the course. Moreover, you also get a certificate of completion.

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science. 

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

Materials Data Sciences and Informatics is an intermediate-level course ventured jointly by the Georgia Institute of Technology and Coursera. The system is a flexible one that allows the learners to pursue it in the online mode at their own pace and time.  Materials Data Sciences and Informatics Certification Course, offered by Coursera, can be taken by non-English speaking learners too as the subtitles are provided in the languages of, Portuguese (European), Spanish, French, and Russian. 

Materials Data Sciences and Informatics Certification by Coursera is all about the nascent discipline of Materials Informatics that is part of computational, material, and information science. The learners can complete the certification programme within the minimum duration of 9 hours. They can make a deep understanding of data science, informatics, data science in materials science, biomedical informatics and data science, statistics, and the like. 

Applied Data Science for Data Analysts is an online Databricks-offered programme designed for intermediate-level learners. The online certification is the final course in the three-course Data Science with Databricks for Data Analysts Specialization. Thus, to be eligible for taking the online programme, the learners must have completed the first two courses in the specialization. Applied Data Science for Data Analysts Certification Course, provided jointly by Coursera and Databricks, will help the learners to enrich their data science, and applied data science with python and machine learning skills and help the student to become masters of applied data science. 

The learners passionate about learning about apple data science can enrol and complete the Applied Data Science for Data Analysts Training within approximately 16 hours. As the Applied Data Science for Data Analysts Certification by Coursera is completely offered in the online mode, the candidates can opt for the programme at their convenience and pace from anywhere. 

The Data Manipulation at Scale: Systems and Algorithms online course by Coursera is the first step in the Data Science at Scale Specialization series. The University of Washington offers the certification course in collaboration with Coursera.

The Data Manipulation at Scale: Systems and Algorithms online certification course aims to teach the landscape of relevant systems to the students and how these systems are evaluated along with the principles on which they rely. Students will also learn the context of data science as well as the history, skills and challenges that come while working with data. Moreover, students will get hands-on experience in learning how to structure a data science project. 

Additionally, the Data Manipulation at Scale: Systems and Algorithms class programme is a self-paced learning course so that students never have to worry about missing a class. At the same time, the course is 100% online so that they can learn from the comfort of their home. The students will be awarded a shareable certificate after completing the course, which can be shared on professional platforms. 

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. 

During the Introduction to R for Data Science online 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

The Data Science Ethics certification course focuses on the learning of working with privacy ethics, data sharing and algorithmic decision-making. As patients, we worry for the safety of our medical records; but as patients, we still expect to benefit from the review of the evidence in the medical records. As people, we want a fair hearing before we are convicted for a crime; but as citizens, we want to deter the terrorists before they attack us. As a moral choice, we appreciate the recommendations we get from data-driven algorithms in the Data Science Ethics by edX; but as decision-makers, we are still worried about unintended bias. Often data scientists master the instruments of commerce and get to work straight away, without appreciating the real implications of their work. 

This Data Science Ethics online course focuses on ethics directly relevant to data science and provides you with a context for examining these questions. This concept focuses on ethics, which are common principles that tend to discern right from wrong. Ethics were not the rule, but they were generally the foundation of the law. The learners can pursue the programme in two varied tracks; verified and audit track. In the verified track, the learners will get unlimited access and a certificate. In the audit track, they will get access to the course for a limited duration. 

In the online course on SQL for Data Science classes program emphasis is given on the domain of database and real-world application. In the course, the students will be working on the database files, datasets and real data science tools. The SQL for Data Science certification syllabus will be covered within a time frame of four weeks. Industry experts and practitioners will be guiding the students throughout the programme. 

SQL or Structured Query Language programme will enable candidates in learning about using this language in extracting data types and communicating with the database. This SQL for Data Science training course by edX is pursued with an intent to get introduced to the concepts of relational databases as well as learn, pursue and implement the basic knowledge and understanding of SQL language. The candidates will get exposure to practical learning which will make it simple and easy to learn about this language. The programme will require 2 to 4 hours of weekly study. 

Candidates will find 2 tracks to enrol into and finish learning the programme. One is the audit track and the other is the verified track. These tracks can be learned based on one's own schedule but the audit track gives limited access whereas the verified track gives unlimited access to the course materials.

The Fundamentals of Scalable Data Science online course is a beginner level programme that will introduce the students to crucial and fundamental topics of data science. The course talks about the concepts of the subject matter such as Apache spark with the usage of Pyspark and Python, its applications, preprocessing of data, and others. Students can get a preview of the programme and the course can be accessed for free for a period of seven days. The Fundamentals of Scalable Data Science training course is also available in the audit mode as well as in subscription mode. 

Students are free to choose the mode of their course according to their requirements. The course is provided in association with IBM. The Fundamentals of Scalable Data Science certification syllabus of the programme needs to be completed in the meantime of 21 hours. This self-paced learning programme by Coursera allows the user to choose their study schedules according to their comfort. Since this is a beginner level programme, the course does not require the user to have any prerequisites for getting into the course. If the student chooses to get a subscription to the Fundamentals of Scalable Data Science classes course, he or she will be eligible to get a certificate for the course at the end upon the completion of the curriculum.

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.

A launch by Harvard Business School Online, Data Science for Business certification is an online course for 4 weeks. With this course, candidates can leverage the time according to their own convenience, within stated deadlines. Again, this Data Science for Business training course consists of nearly 20 hours of material that is taught over 4 weeks. Data is used everywhere, and it is the prediction of tomorrow. This certification course will actually train the participants to become more capable managers who will effectively tackle Business decisions.

Moreover, the Data Science for Business online training offers a course completion certificate by just completing 6 modules and associated quiz materials. The best part is that one can even share their certificates online using a professional Linkedin platform. So, for improvement in making decisions, and Communication of these decisions to the members, this course can prove to be effective. So if candidates want to stop using bad data then they must consider this Data Science for Business online course.

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.