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Data Science Fundamentals with Python and SQL

Leo Porter, Ilkay Altintas, Rav Ahuja, Joseph Santarcangelo, Murtaza Haider, and Aije Egwaikhide

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.

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What's inside

Two courses

Statistics for Data Science with Python

This Statistics for Data Science course introduces you to statistical methods and procedures used for data analysis. You will learn about data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis.

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Python for Data Science, AI & Development

(0 hours)

Kickstart your Python learning with this beginner-friendly course. Python is one of the most popular programming languages, and demand for Python skills is high. This course will teach you Python basics, data types, data structures, logic concepts, and Python libraries. You'll also use Python for data collection and web scraping. By the end of this course, you'll be able to create basic Python programs, work with data, and automate tasks.

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Time

0 hours

Via

Coursera

Institution

IBM

Instructors

Leo Porter

Ilkay Altintas

Rav Ahuja

Joseph Santarcangelo

Murtaza Haider

Aije Egwaikhide

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