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Commonly asked questions
On All Courses
Q:   What is the difference between Coursera Plus and individual course payments?
A: 

Coursera Plus is a subscription service that gives limitless access to a big range of Coursera's catalog, including courses, specializations, and professional certificates, for a single annual fee. This is ideal for learners who may be taking multiple courses or programs throughout the year, as it reduces the cost per course.

The payment for one specific course, specialization, or programme is made as individual course payments, as monthly subscription Therefore, this is the best alternative for learners who want to take only one or two courses without any long-term commitment. Coursera Plus does not include all courses; therefore, we recommend you to check the eligibility of a course before subscribing.

Q:   What is Data Science Master's degree course on Coursera all about?
A: 

A data Science master's degree is a relatively new graduate programme that integrates core concepts from mathematics, computer science, statistics, and information science. It equips students with the skills to extract insights from complex data sets and enhance operational and business processes. This degree is ideal for those looking to advance their careers in data Science or expand their expertise in areas such as machine learning, data visualization, and data mining. Graduates are prepared for roles like data scientist, data analyst, or data engineer, benefiting from the growing demand for data professionals in today’s job market.

Q:   What are Guided Projects on Coursera?
A: 

Guided Projects on Coursera are practical, hands-on learning experiences designed to teach specific skills in a short time, typically 1 to 2 hours. Unlike traditional courses, Guided Projects focus on "learning by doing" and provide learners with step-by-step instructions in a virtual environment.

Learners work on real-world tasks using tools and software directly in their web browsers, with no setup. For instance, you can build a dashboard in Excel or create a simple website using HTML and CSS in the Guided Project. It is suitable for anyone seeking quick, applicable knowledge in areas such as data science, business analytics, web development, coding, machine learning, etc.

Q:   What is a Specialization on Coursera?
A: 

A Specialization on Coursera is a structured series of related courses to help learners master a specific skill or subject area. Each Specialization consists of multiple courses that build on one another, delivering a comprehensive learning experience. 

In addition to the core courses, Specializations often include a capstone project, which is a practical application of the knowledge gained. Upon completing a Specialization, learners receive a certificate that can be shared on professional platforms such as LinkedIn or included in resumes, showcasing their commitment to continuous learning and expertise in a specific area. Specializations are designed to be flexible, allowing individuals to progress at their own pace, and are ideal for those looking to advance their careers, switch fields, or deepen their knowledge in a particular domain.

Coursera
Students Ratings & Reviews

4.6/5
Verified Icon13969 Ratings
V
Vikram Pratap Singh Verified Icon
Excel Skills for Business: Essentials
4
4Placements4Value for Money
It is a useful course for beginners and professionals.
Learning Experience: Course content is detailed and well-organised. It helped me a lot to move forward in my career. I developed data analytical skills. Course is very useful for beginners to learn the basics of Excel.
Placements: It helped me in making a career transition. As such, the platform does not offer any placement or internships but the course itself is beneficial to move ahead in our career.
Faculty: Faculty members are helpful and knowledgeable. The quality of the lectures is good. The course is structured in a way to develop the necessary skills required for data analytics with regular assignments and assessments.
Course Support: The platform provides resources like excel sheets where we can practice the functions and formulas. It also offers PPTs which help in understanding the course. The discussion forum is also there to share insights with other peers.
Reviewed on 21 Mar 2025Read More
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J
Jennifer J
Deep Learning for Business
5
review
Other: I directly applied the concepts and skills I learned from my courses to an exciting new project at work.
Reviewed on 22 Apr 2024Read More
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N
Nithya Nandini
The Structured Query Language (SQL)
5
Learning Experience: The course content is very nice and understandable. The best things I liked were the assignments and live labs. I got to practice programming along with watching tutorials. The quizzes and assignments are fine to give and pass if we follow the course.
Faculty: The faculty who taught me in my course is very good and experienced. He taught all the concepts very well and in an understandable way. The peer group has important discussions and extra things. The course curriculum is very up-to-date. All the important topics that are needed are involved in the syllabus. The assignment and lab work are very helpful
Course Support: The course has helped me very much by giving good grip on SQL since it has labs also. I added it to my resume and got to answer queries in SQL after this course.
Reviewed on 28 Dec 2023Read More
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S
sree
Programming for Everybody (Getting Started with Python)
5
5.0
Learning Experience: It is very useful to crack code in interviews. It develops Python programming skills.
Reviewed on 28 Dec 2023Read More
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K
Khurshid
Relational database systems
5
Learning Experience: A relational database management system (RDBMS) is a collection of programs and capabilities that enable IT teams and others to create, update, administer and otherwise interact with a relational database. RDBMSes store data in the form of tables, with most commercial relational database management systems using Structured Query Language (SQL) to access the database. However, since SQL was invented after the initial development of the relational model, it is not necessary for RDBMS use.
Faculty: The faculty was very good. They provided assistance on time, and I completed that too on time. It helps me to learn all concepts related to this RDBMS The course curriculum was good. I learned a lot of things about relational database management systems because it is the most widely used system among organisations across the globe.
Course Support: This course completion will help me to get into the next course related to this RDBMS course. It will help me to get a job in a company in my country or outside.
Reviewed on 8 Dec 2023Read More
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P
Parth Shah
What is Data Science?
4
Learning Experience: The course, I opted for was for data science basics understanding and concept summarization. It was very well-designed and easy to understand. It has developed my skills in data science. The pros of the course are easy understanding of data, the cons are not as much but you can't change the language to your mother tongue.
Faculty: The faculty was great and their approach is quite simple and nice. The quality of the lectures is just awesome. It helps with practical knowledge as well. There was no live session provided. The course is designed in a very easy manner. Resources are provided within the course and the structure is from beginner to advanced in great method. Assignments are to be given and a minimal score of 80% is required.
Course Support: It helped me understand data science and was a great start to data science and its various fields. I would recommend to opt this course if you are interested.
Reviewed on 24 Oct 2023Read More
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Saumya Srivastava

Updated on Jul 24, 2024

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