Students will gain foundational knowledge of the data science process, including data collection, exploration, cleaning, and visualization. Through hands-on practice with essential Python libraries such as NumPy, Pandas, and Matplotlib, learners will develop the skills to manipulate arrays, work with large datasets, and draw meaningful insights ...

This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others.

1 day ago · Q1. What is Data Science? Data science is about understanding data. It uses tools and methods to find patterns in data. Data science mixes computer science, statistics, and domain knowledge. The main goal is to turn raw data into valuable insights. A data scientist collects data, cleans data, analyzes data, and then builds models.

Jan 13, 2025 · This course provides a foundational introduction to programming in Python, tailored for solving physics-based problems. Students will learn essential programming concepts, including but not limited to data structures, control flow, and visualization techniques while developing an understanding of computational methods used in physics.

Gain hands-on experience and practice using Python to solve real data science challenges. Practice Python coding for modeling, statistics, and storytelling. Utilize popular libraries such as Pandas, numPy, matplotlib, and SKLearn

In this course, you will learn everything you need to start your programming journey. You will discover the different data types available in Python and how to use them, learn how to apply conditional and looping control structures, and write your own functions.

Object oriented programming / Data analysis using scientific programming packages / Module, class, and function development / Best practices and coding hygiene . DESIGNED BY Paul Laskowski

Programming for Data Science is an introductory course focused on essential programming concepts, structures, and techniques. Students will develop the skills to write efficient code, as well as to read, understand, and debug it.

Dec 26, 2024 · Data Science is a field that combines statistics, computer science, and domain expertise to extract meaningful insights from data. It involves collecting, cleaning, analyzing, and interpreting large sets of structured and unstructured data to solve real-world problems and make data-driven decisions.

The course offers an introduction to programming (using Python) and databases (using SQL). We will cover topics related to collection, storage, organization, management, and analysis of data. There is a strong focus on live coding in the classroom, with discussion of examples.