Coursera Data Science Courses & Certifications

The Master of Science in Data Science online course is a 2 years program offered by the University of Colorado Boulder and hosted on Coursera’s learning management system. The course focuses on the basic principles of data science including algorithms and data structure for organizing a large set of data. The course introduces various Data Mining techniques for extracting useful data from a large set of data and organizing raw data in a way to make it useful and analyze the pattern of datasets to train models for making accurate predictions.

The Master of Science in Data Science syllabus encourages students to learn about Statistical inference in which a sample of data is collected to draw a larger conclusion by analyzing the algorithms of the sample data sets. The course covers key topics of data science including Machine learning which is the part of Artificial Intelligence that provides the ability to learn from different input and output data as well as trained and supervised models in order to calculate or predict the result more efficiently.

The online Master of Science in Data Science training course develops decision making skills to solve any challenges in a complex environment with the help of advanced tools and techniques. The course teaches about various types of data visualization, predictive modeling, artificial intelligence and Machine learning. 

The “Master of Data Science” Certification is an online course by the National Research University Higher School of Economics (HSE University) in association with Coursera. HSE University is a leader in Russia’s education by making a combination of traditional, and international practices in both teaching and research. This prestigious university has been ranked as the number 1 by Forbes, amongst the list of the "Universities for the Future Elite: 100 Best Russian Universities.

The “Master of Data Science” syllabus is a holistic mix of meetings, coursework, and live class sessions that are taught in English, and the work environment is replicated as the real environment of Data Scientists by using Github, Python, and some recently used apps like 

Slack and Zoom. Also, this course does not have any on-campus module requirements.

If you are a student with or without prior coding experience and want to become a data scientist with a master's degree from a foreign university then this “Master of Data Science” Training is the right course for your career. The faculty that teaches this course is an amalgamation of an expert at HSE, and Yandex to give you the best learning experience. 

The “Master of Applied Data Science” degree is an online degree course which is offered by the University of Michigan, in partnership with Coursera. The main focus of this course is to teach students how to use data for the improvement of results, and this can lead to achieving ambitious goals. The foreign master’s degree is curated keeping in mind the students who are aspiring to become data scientists and teach them hands-on skills to become one.

The “Master of Applied Data Science” syllabus imparts education on the core Data science concepts namely programming languages and Machine learning. According to the University of Michigan’s School of Information, U.S. News & World Report, the University of Michigan’s School of Information has been rated as the number 1 university teaching applied data science. If students want to learn the systems and techniques that they can use to stop the overload of data in organizations by making decisions that will benefit the organization.

Again, once students complete this “Master of Applied Data Science” online degree program, they can apply concepts like privacy, data ethics, and persuasive communication, to flourish inside their current organization. And, this master’s degree will also be beneficial for them to showcase in their portfolio that can attract hiring companies. 

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. 

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. 

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.

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.

Some popular data science tools used today include JupyterLab, RStudio IDE, Jupyter Notebooks, Git, GitHub, and more. Tools for Data Science by Coursera will introduce you to these data science tools and their features.

The Tools for Data Science certification is a part of a series of certification programmes related to data science and can be applied to different specialisations. Over the period of four weeks, you will learn 18 hours of content in the form of video lessons and will receive extra readings and quizzes. You will have to create a final project at the end of the programme to showcase your skills and proficiency.

The Coursera Tools for Data Science programme is offered by IBM. It is easy to comprehend as it is a beginner-level course with flexible deadlines. You can earn digital badges and a shareable certificate that will help you enhance your resume and can be shared on LinkedIn.