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IBM

Data Science Fundamentals with Python and SQL

IBM via Coursera Specialization

Overview

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 4 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.

Syllabus

Course 1: Tools for Data Science
- Offered by IBM. What are some of the most popular data science tools, how do you use them, and what are their features? In this course, ... Enroll for free.

Course 2: Python for Data Science and AI
- Offered by IBM. Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly ... Enroll for free.

Course 3: Statistics for Data Science with Python
- Offered by IBM. This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and ... Enroll for free.

Course 4: Databases and SQL for Data Science with Python
- Offered by IBM. Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for ... Enroll for free.

Courses

Taught by

Aije Egwaikhide, Hima Vasudevan, Joseph Santarcangelo, Murtaza Haider, Rav Ahuja, Romeo Kienzler and Svetlana Levitan

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