This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who wants to apply some data science principles to your work. Or, you might simply be a curious, lifelong learner intrigued by the powerful tools that data science and math provides. Regardless of your motivation, we’ll provide you with the support and information you need to get started.
課程信息
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第 1 門課程（共 4 門）
初級
完成時間大約為12 小時
英語（English）
字幕：英語（English）
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 1 門課程（共 4 門）
初級
完成時間大約為12 小時
英語（English）
字幕：英語（English）
提供方
霍华德大学
Founded in 1867, Howard University is a private, research university that is comprised of 14 schools and colleges. Students pursue more than 140 programs of study leading to undergraduate, graduate and professional degrees. The University operates with a commitment to Excellence in Truth and Service and has produced one Schwarzman Scholar, three Marshall Scholars, four Rhodes Scholars, 12 Truman Scholars, 25 Pickering Fellows and more than 165 Fulbright recipients. Howard also produces more on-campus African American Ph.D. recipients than any other university in the United States. For more information on Howard University, visit www.howard.edu.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 5 小時
Introduction to Matrices and Linear Algebra
In module 1, you'll learn how to explain fundamental concepts of linear algebra and how to use Python, one of the most powerful programming languages, to model different data. We will cover the following learning objectives.
完成時間為 5 小時
15 個視頻 （總計 85 分鐘）, 6 個閱讀材料, 3 個測驗
完成時間為 3 小時
Using Linear Algebra Concepts in Python
Let's recap! In module 1, you performed software installation, learned some best practices, and learned how graphs are used to model data in Python. In module 2, you'll gain the knowledge you need to use linear algebra to solve data science problems. You'll also perform matrix algebra on large data sets using Python. We will cover the following learning objectives.
完成時間為 3 小時
7 個視頻 （總計 46 分鐘）, 1 個閱讀材料, 3 個測驗
完成時間為 2 小時
Vector Equations and Systems of Linear Equations
Let's recap! In module 2, you learned how to use linear algebra to solve data science problems. Using Python, you also learned how to perform matrix algebra on large data sets. In module 3, you will learn how to define vector equations and use vector equations to model data. We will cover the following learning objectives.
完成時間為 2 小時
7 個視頻 （總計 47 分鐘）
完成時間為 2 小時
Real-World Applications of Vector Equations
Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics:- Version control - Git Bash, Jupyter Notebook via Anaconda, NumPy and SymPy, and other software tools, Modeling data, Matrix algebra and, Vector equations. In the final module of the course, you'll apply what you've learned to concrete, real-world examples. You'll practice using vector equations to study data sets and provide peer reviews. We will cover the following learning objectives.
完成時間為 2 小時
4 個視頻 （總計 24 分鐘）, 1 個閱讀材料, 2 個測驗
關於 Linear Algebra for Data Science Using Python 專項課程
This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.
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