IBM Data Science faq

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learnersLearners: 192,203
instructor Instructor: Dr. Pooja instructor-icon
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IBM Data Science Professional Certificate is a 9-course program designed to help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills. It covers open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. Through hands-on practice in the IBM Cloud, you will build a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science. Upon completion, you will receive a Professional Certificate from Coursera and a digital badge from IBM. This program is ACE® recommended and you can earn up to 12 college credits.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 30th, 2023]

By taking this course, you will gain the skills and knowledge necessary to pursue a career in data science. You will learn the latest tools and techniques used in the industry, such as open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You will also gain hands-on experience in the IBM Cloud, working with real data science tools and real-world data sets. Upon completion, you will have a portfolio of data science projects to demonstrate your skills and knowledge, as well as a Professional Certificate from Coursera and a digital badge from IBM.

In addition, this course is ACE® recommended, meaning that you can earn up to 12 college credits upon completion. This is a great way to jumpstart your career in data science, as you will have the skills and knowledge to pursue a job in the field. You can also use the skills and knowledge you gain to further your education in data science, such as pursuing a master’s degree or a Ph.D. in the field. With the right dedication and effort, you can become a successful data scientist and make a real impact in the world.

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faq FAQ for Data Analysis Courses

Q1: What skills will I learn in an IBM Data Science Training?

IBM Data Science Training provides a comprehensive introduction to the fundamentals of data science. You will learn the skills necessary to analyze data, create visualizations, and build machine learning models. You will also gain an understanding of the various tools and techniques used in data science, such as Python, SQL, and Jupyter Notebooks.

Q2: Is there an online IBM Data Science course available?

Yes, there are several online IBM Data Science courses available. These courses provide an introduction to the fundamentals of data science, as well as the tools and techniques used in data science. You can find a variety of courses, from beginner to advanced, to help you develop your data science skills.

Q3: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q4: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q5: Can I take this course for free?

Yes, this is a free course offered by Coursera, please click the "go to class" button to access more details.

Q6: How many people have enrolled in this course?

So far, a total of 192203 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q7: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Data Analysis courses and certifications, our extensive collection at azclass.net will help you.

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