Best MOOC Courses for Data Science

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Best MOOC Courses for Data Science

MOOC courses are massive online courses available in virtual mediums for users to gain knowledge over a particular discipline. Data scientists deliver content to businesses across enterprises because they can resolve complicated difficulties with data and make critical decision-making methods easier. Data sciences help clients to draw insights into complex aspects and to review the outcomes.

These days, students take courses in data sciences because this area attacks a good salary and position in any sophisticated firm. Data science courses help students to draw knowledge about simplifying data and delivering results for clients. These courses build up a better future for students across the world. In the USA, various platforms provide online data science courses for students to gain knowledge with ease of time and flexibility in learning.

Most individuals opt for online courses because it helps save time and learn with ease. This article will highlight some of the best MOOC courses online for data science. If you are looking for some affordable and reliable systems online on data science that can help you advance your knowledge to become a data scientist, this write will guide you along. Give a reading to this write-up and choose your preferred course online.

1. Data Science Specialization by Coursera

Johns Hopkins University offers this data science course through the online platform Coursera. The course provides 100% online classes for students. This specialized course includes the theories and means you’ll require the entire data science pipeline completely, from examining the appropriate sets of issues to making assumptions and publishing outcomes. In the final Capstone Project, you’ll employ the abilities acquired by creating a data output handling real-world data. At achievement, learners will produce a portfolio showing their knowledge of the matter. Students will also earn certification by the completion of this course. The program will take approximately 11 months to complete.

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2. Introduction to Data Science by Metis

This course takes you one step closer to becoming a data scientist by contributing a subset of the topics in this Data Science and Analytics Bootcamps. You’ll receive a well-rounded introduction to the fundamental theories and technologies developed within the boot application under this course. The course also includes primary machine training policies and hands-on coding expertise. Moreover, you’ll place it all to practice within a mini data science design of your talent. Finally, the course helps students understand difficulties with data science and the depth to engage them from a scientific viewpoint. The course cost around $750. Metis additionally has Beginner Python and Math for Data Science courses as well.

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3. Applied Data Science with Python Specialization by Coursera

The University of Michigan created this advanced specialization concentrated on the applied side of data science. This skills-based specialization is designed for students who have fundamental Python or programming knowledge. The discipline includes five programs under it which are all related to data science subjects. This course provides a certificate for students after the completion of all these five programs inside it. Thus, the course will provide advanced knowledge to students in the field of data science. This course is free, or it charges 49 for certification or study materials.

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4. Learn Data Science by EdX

EDX platform provides this online data science course which is sponsored by MicroMasters. This course will take around 10 months to complete. Every week the course includes 9-10 hours of classes for students. The course cost around ₹93,745. In this MicroMasters curriculum, you will acquire a well-rounded knowledge of the analytical and computational mechanisms that form the foundation of data science and apply those tools to create data-driven marketing tips. This MicroMasters curriculum includes two facets of data science education: the scientific and the applied. Scientific programs incorporate probability, statistics, and machine learning. The applied programs incorporate the application of distinct toolkits and programming languages.

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5. Dataquest Data Science Courses and Paths

Dataquest is a wonderful platform on its own through its online courses. The Data Science Learning Paths and Courses are expertly planned and designed to prepare you for new abilities and assist you in reaching your data profession purposes. Dataquest includes video teachings and preferably explains through an interactive manual. In addition, each topic in the data science course is followed by various in-browser, interactive coding impressions that lead you through implementing the specific subject you’re studying. There are multiple data science courses under the program. However, one major course is titled under Data Scientist In Python Path.

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6. Master the Skills Needed to Solve Complex Data Challenges by EdX

This MicroMasters curriculum in Statistics and Data Science comprises four virtual sessions and an online examination that will present you with the basic information necessary to learn the techniques and instruments employed in data science and hands-on practice in data interpretation and machine knowledge. You will plunge into the basics of odds and statistics and study, perform, and research with data interpretation methods and machine learning algorithms. This program will serve you to grow a notified and competent data science practitioner who attaches value to an establishment.

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7. Python for Data Science and Machine Learning Bootcamp by Udemy

A considerable advantage to this course over other Udemy programs is the assignments. The assignments under this course help learners to develop a more brief knowledge of the area of study. The course comprises 25 hours of on-demand video sessions for students. In addition, it provides 13 articles and five downloadable resources for students to learn efficiently. The course also provides a certificate by completion. This course concentrates higher on the applied front. This complete program will guide you to study how to utilize Python’s ability to interpret data, design stunning visualizations, and exercise supreme machine learning algorithms.

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8. Data Science Course by Harvard

All of the course materials and talks for Harvard’s data science program are freely available online to study at your own time and at ease. However, if you are a beginner, this course is best applicable to you. It is because this course includes all the fundamental concepts for learning data science. Even though the course doesn’t provide interactive sessions like other online platforms, this course will provide study material worth spending time on. The course is a portion of a data science qualification and designed for learners who have earlier knowledge of, or are additionally studying, core disciplines such as programming, mathematics, and statistics. The course also includes a good range of videos for a better understanding of concepts.

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9. Learning from Data by the California Institute of Technology

This online data science course provides fundamental topics for all data practitioners to learn how machines can read from data and enhance the means. This course is a fundamental ML program that incorporates basic principles, algorithms, and applications. ML is a vital technology in Big Data and various pharmaceutical, commercial, and experimental forms. It permits computational methods to adaptively enhance their performance with expertise gained from the surveyed data. This course evaluates principles and practice and incorporates the scientific as well as the heuristic appearances.

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10. Data Analysis Essentials by EdX

This program strives to educate you on basic data interpretation professions, so you are prepared for your MBA education and can focus your endeavours on the core MBA curriculum rather than continuously working catch-up with the underlying analytical expertise required. This program allows no previous understanding of data analysis. Preferably, concepts are explained as precisely as feasible, and regular activities will permit you to exercise your abilities and develop your confidence.

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