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Which platform is best for data science course?
Coursera is the most popular platform to learn data science. It has more than 75 million registered users. There are more than 5 million users enrolled for Andrew NG’s machine learning course.
How long does IBM data science professional certificate take?
The course documentation indicates that on average a person takes 195 hours and up to 10 months to complete the program (6 weeks for the capstone course alone).
Is Harvard Data Science worth it?
Yes, the Harvard Data Science Certificate is worth it. The program is relatively affordable, flexible, and is entirely online. It’s self-paced, has no prerequisites to enroll, provides expert guidance, a solid support system, and focuses on high-demand skills needed to land a competitive data science job.
What kind of job can I get with a data science certificate?
Data Scientist.
Which is the best platform for data science certification?
There is no denial of the fact that Careerera is the best platform for Data Science Certification. It has the best faculty that is hired after multiple rounds of skills tests. Being a partner with many top notch IT companies, it provides the best placement assistance.
Why careerera is the best place for data science?
By getting enrolled at Careerera, one can build its practical skills by solving real world case studies along with hands-on experience in analytical tools and techniques like Tableau, SQL and Python. Exclusive multiple industry knowledge sessions make Careerera a great fit for a Data Science institution.
How to become a data science professional?
Become an expert Data Science professional today. The PGP-DS (Post Graduate Program in Data Science) gives you wide coverage to main ideas and techniques from Python, Exploratory Data Analysis to Machine Learning, Deep Learning and more.
What is a post graduate program in data science?
A : Post Graduate Program in Data Science is a carefully designed learning path that has been created by some of the leading industry experts. The structure of the course curriculum has been set up in a way that even a complete beginner to Data Science will be able to follow the course progression and understand all the course materials clearly.