Coursera is one of the top-listed online platforms that provide Online courses free of cost and also provided certificates with minimal fees. in the previous article we have described the Coursera free online courses that have been provided by different top-ranked institutes, in this article we will explain in detail the list of Data Science courses that have been provided by different universities through Coursera. Data Science is one of the top studies articles in the era of AI or computer knowledge. Learners who are enthusiastic and wanted to learn about Data Science from a top-ranked institute can get this opportunity.
There are about 425 courses that have been taught through Coursera. There are thousands of courses about different topics and fields but data science is at the top of the list. Learners can be picked a topic of their choice about data science among different topics. These topics are Advance Logrithims, Google data science, Meta Front end developer, Analitis Data, IT Project Manager, Machine Learning and AI, Mathematics for Machine Learning, Natural Language Processing, etc.
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Table of Contents
|Free Online Courses about data science
|Mode of teaching
|No specific time limit
List of Courses:
Coursera is offering free online courses in Data Science and some of the topics are as follows:
- Deep Learning AI Tensor Flow
- Machine Learning
- Meta Front end developer
- Google Data Analytics
- Data Science and Machine Learning
- IT Project Manager
- Natural Language
- Introduction to Data
- AI Fundaments of Non-Data Science
- Excel Skills for Business
- Business Analytics
- Advance Analytics
- IBM DataScience
- IBM Data Science Courses
- Bayesian Statics Technique and models
- Data Analytics with R
- Data Visualization with BI
- SQL for DataScienc
The duration of these free online courses varies from 12 weeks to 24 weeks.
Benefits of Coursera Online courses:
COURSERA’s free online courses about data science offer numerous benefits to candidates around the world. Here are some main advantages of enrolling in these free online courses:
- Access to High-Quality Learning: Learners gain access to top-notch educational content. The courses are designed and developed by expert faculty members who bring their expertise and research-driven knowledge to the online platform.
- Self-Paced: The online format of these courses allows learners to study at their own pace and according to their own schedule. This flexibility is especially beneficial for working professionals or individuals with other commitments, as it enables them to balance their learning with other responsibilities.
- variety of Course Offerings: Coursera offers a wide range of free online courses covering various disciplines, from humanities and social sciences to health, business, and technology.
- Global Networking: Joining Coursera’s free online courses provides an opportunity to connect with a global learning community. Learners from different countries and backgrounds come together to engage in discussions, share insights, and collaborate on projects.
There are the following criteria for data science courses:
- Any candidate with any qualification background can join these courses
- Applicants 18 plus age can join Coursera’s free data science courses trial
- Learners with any geographical background can enroll
- Applicants must have a cell phone or laptop with an internet connection.
Prerequisites for Coursera Online Courses
Most of the free online courses from Coursera do not have specific prerequisites same for data science courses. These are designed to be accessible to candidates with varying levels of prior knowledge and experience. However, some topics of data science online courses may recommend a basic understanding of certain concepts or subjects related to the course content or data science basics that you’re going to take.
After successful completion of a free online course of data science from the Coursera platform, learners will have the opportunity to earn an Electronic certificate. These e-certificates can be a valuable addition to your CVs or professional portfolio, describing your commitment to continuous learning and your acquired skills. However, it’s important to note that the certificate issuance may require a minimal fee, which varies depending on the course. This fee covers administrative costs associated with verifying your identity and the assessment of your coursework.
How to apply:
Candidates who are interested in joining Coursera data science free online courses can join by entering basic information on their official portal.
Then fill out the application form that is required after entering your mail id and password.
Choose a course, Explore the list of free online courses in data science offered by Coursera, and select the one that aligns with your interests and learning goals. Click on the course title to access its detailed information page.