Free Data Science Courses & Certifications

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. 

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. 

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. 

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. 

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. 

Data Science for Beginners online certification is created by Board Infinity which is and is offered by FutureSkills Prime which is designed for those who desire to work as professional data scientists but have little or no experience of the fundamentals of the profession. Data Science for Beginners online course by FutureSkills Prime is based on competency criteria set by SSC NASSCOM in partnership with industry and certified by the Indian government.

Data Science for Beginners online classes begin with the fundamentals of data science and progresses to more advanced topics such as data visualization, data wrangling, exploratory data analysis, object-oriented programming, and various tools and technologies that enable data science operations, such as Anaconda, Python, Jupyter, Pandas, NumPy, and others. On successful completion of this course, applicants will be provided two certificates of completion from the Board infinity and FrtureSkills Prime.

Acquiring Data certification course is developed by Accenture and is delivered by FutureSkills Prime which is developed for candidates who are involved in the data field and want to enhance their knowledge of various data processing procedures and technologies. Acquiring Data online classes by FutureSKills Prime introduced the candidates to the basic concepts of data and big data terminologies and frameworks required for data science.

Acquiring Data online course is a part of FutureSkils' AI ascend program, which is aimed at data enthusiasts who wish to become professional data scientists. This course uses Python and Jupyter to familiarise applicants with big data, metadata, and data validation concepts. The program also covers subjects such as DataFrame from the Python, Pandas package, which will serve as building blocks for advanced Artificial Intelligence topics.

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. 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 Graphs and Data Science online course is developed by the education provider platform INSOFE. The course study is about the basic algorithms and computational problems in data science and is scheduled as ten sessions lecture series throughout the programme. The course educator for the graphs and data science online training is Ashwin Ganesan who is a professor at the International School of Engineering(INSOFE), Mumbai. The course instruction allows the students to discover the aspects of coding, mathematics, and data mining in detail.

In this online programme, the learners will be able to explore the domain of computational thinking and data science. The candidates are taught to arrive at solutions using the tools and techniques of computer science and computational strategies. The lectures and three modules provide experiential learning for the students to gain an in-depth understanding of the data science concepts, link structuring, online advertisements, social networking, and algorithms for graph data. 

Data Science Bootcamp online certification is developed by Board Infinity, a digital learning platform for job seekers and learners to help them realize their true potential to meet their career dreams. The Data Science Bootcamp online course by Board Infinity is designed for those who wish to learn the fundamentals of data science to advance their careers as professional data scientists.

Data Science Bootcamp online classes include more than 20 hours of extensive video-based lectures, as well as exercises and projects, which are included in the classes to assist applicants to get a better grasp of topics such as business analytics, and data wrangling, and data visualization. Applicants will have learned how to use tools such as Python, Pandas, Numpooy, Seaborn, SQL, Tableau, Excel, Jupyter, Matplotlib, and others for diverse data science activities by the end of this course.