IBM Data Science
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
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
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.
Course Provider
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