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Data Science Fundamentals with Python and SQL

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

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What's inside

Two courses

Statistics for Data Science with Python

(14 hours)

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

(22 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

2190 hours

Via

Coursera

Institution

IBM

Instructors

Leo Porter

Ilkay Altintas

Rav Ahuja

Joseph Santarcangelo

Murtaza Haider

Aije Egwaikhide

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