|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-with-python-3x/
课程评论：没有评论
课程名称：Python 3.x 数据科学 课程概述：Python是一种开源的通用编程语言，近年来成为数据科学的核心工具之一。凭借其灵活性和广泛的应用，使用Python可以轻松进行数据分析、可视化和机器学习。本实用课程旨在教您如何执行数据科学任务，如数据分析、数据处理和数据可视化。您将开始对真实世界的数据集进行数据分析，接着处理大型数据集并进行探索性数据分析，以调查数据集并得出结论。 您还将学习如何扩大数据分析规模，并使用Dask执行分布式数据科学项目，从数据摄取到数据处理与可视化。课程中将介绍Dask框架，并展示如何将Dask与其他常用Python工具（如NumPy、Pandas、matplotlib和Scikit-learn等）结合使用。最后，您将使用Python和Matplotlib 3进行数据可视化。 完成此课程后，您将能够利用Python的强大功能进行数据分析，创建美观的可视化效果，并使用强大的机器学习算法。 讲师介绍： - Mohammed Kashif：目前在印度Nineleaps担任数据科学家，专注于图数据分析，曾在Qualcomm担任Python开发人员，并持有印度理工学院德里分校的计算机科学硕士学位。他的兴趣领域包括推荐系统、自然语言处理和图分析。 - Jamshaid Sohail：对数据科学、机器学习和大数据充满热情，拥有丰富的数据科学经验，并在美国公司工作。他曾在剑桥大学参加计算机科学的夏季课程，致力于分享知识以提升他人生活。 - Harish Garg：有超过18年的软件行业经验，担任数据分析和数据科学领域的软件咨询公司的联合创始人，拥有12年的Python编程经验，并开发了多个数据科学课程。 本课程适合任何希望深入了解数据科学和Python应用的人士。
Python is an open-source community-supported, general-purpose programming language that, over the years, has also become one of the bastions of data science. Thanks to its flexibility and vast popularity that data analysis, visualization, and machine learning can be easily carried out with Python.This practical course is designed to teach you how to perform data science tasks such as data analysis, data manipulation, and data visualization. You will begin with performing data analysis on real-world datasets. You will then work on large datasets and perform exploratory data analysis to investigate the dataset and to come up with the findings from it.You will also learn to scale your data analysis and execute distributed data science projects right from data ingestion to data manipulation and visualization using Dask. Next, you will explore Dask frameworks and see how Dask can be used with other common Python tools such as NumPy, Pandas, matplotlib, Scikit-learn, and more. Finally, you will perform data visualization using Python and Matplotlib 3.By the end of this course, you will be able to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he worked as a Python developer at Qualcomm. He completed his Master's degree in Computer Science from IIT Delhi, with a specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the Higher-Education industry.Jamshaid Sohail is a Data Scientist who is highly passionate about Data Science, Machine learning, Deep Learning, big data, and other related fields. He spends his free time learning more about the field and learning to use its emerging tools and technologies. He is always looking for new ways to share his knowledge with other people and add value to other people's lives. He has also attended Cambridge University for a summer course in Computer Science where he studied under great professors and would like to impart this knowledge to others. He has extensive experience as a Data Scientist in a US-based company. In short, he would be extremely delighted to educate and share knowledge with other people.Harish Garg is a co-founder and software professional with more than 18 years of software industry experience. He currently runs a software consultancy that specializes in the data analytics and data science domain. He has been programming in Python for more than 12 years and has been using Python for data analytics and data science for 6 years. He has developed numerous courses in the data science domain and has also published a book involving data science with Python, including Matplotlib.
