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Data Science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. This Specialization from IBM will help anyone interested in pursuing a career in data science by teaching them fundamental skills to get started in this in-demand field.The specialization consists of 5 self-paced online courses that will provide you with the foundational skills required for Data Science, including open source tools and libraries, Python, Statistical Analysis, SQL, and relational databases. You’ll learn these data science pre-requisites through hands-on practice using real data science tools and real-world data sets.Upon successfully completing these courses, you will have the practical knowledge and experience to delve deeper in Data Science and work on more advanced Data Science projects.No prior knowledge of computer science or programming languages required.This program is ACE® recommended—when you complete, you can earn up to 8 college credits.
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Course 1: Tools for Data Science
- Offered by IBM Skills Network. In order to be successful in Data Science, you need to be skilled with using tools that Data Science ... Enroll for free.
Course 2: Python for Data Science, AI & Development
- Offered by IBM Skills Network. Kickstart your learning of Python for data science, as well as programming in general, with this ... Enroll for free.
Course 3: Python Project for Data Science
- Offered by IBM Skills Network. This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The ... Enroll for free.
Course 4: Statistics for Data Science with Python
- Offered by IBM Skills Network. This Statistics for Data Science course is designed to introduce you to the basic principles of statistical ... Enroll for free.
Course 5: Databases and SQL for Data Science with Python
- Offered by IBM Skills Network. Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data ... Enroll for free.
