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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-path-python-complete-data-analysis-with-python/
课程评论：没有评论
课程名称：学习路径：Python：全面的数据分析与Python 概览：Python无疑是数据科学领域中最受欢迎的编程语言之一，数据的快速增长也导致对能够分析这些庞大数据的专家需求剧增。如果你拥有基本的Python知识并希望探索强大的数据分析技术，这个学习路径就是你的最佳选择。Packt的视频学习路径是一系列逻辑性强、循序渐进的独立视频产品，每个视频都建立在之前视频学到的技能基础上。 本学习路径的亮点包括： - 为常见及不常见的数据科学问题提供解决方案 - 丰富的实际案例，让数据科学变得轻松自在 - 深入理解掌握使用Pandas进行数据分析的重要性 学习旅程将向你介绍利用Python工具进行数据管理和分析的数据科学领域。你将学习一些基本工具，并将其应用于现实数据问题。在此过程中，学习路径会探讨Python堆栈在数据分析和科学计算中的应用，并扩展数据获取、数据清洗、数据分析和机器学习的相关概念。你将学习如何使用Pandas进行基础的金融任务建模，例如组合投资组合建模、基于风险计算最优投资组合等。 完成这一学习路径后，你将成为一个能够高效分析数据的Python专家。 专家介绍： 本学习路径的教师包括两位知名的作者： - Marco Bonzanini：伦敦的数据科学家，拥有伦敦大学女王玛丽学院的信息检索博士学位，专长于文本分析和搜索应用，曾参与多个信息管理和数据科学项目。 - Prabhat Ranjan：拥有丰富的Python、R和机器学习行业经验，热衷于在各种新实时项目中使用Python、Pandas和R。他在Python、R、数据科学和大数据Hadoop方面的教学经验和行业专业知识使他在这个领域名列前茅。
Python is undoubtedly one of the most popular programming languages that's being extensively used in the field of data science. There is a rapid increase in the number of data and so for the demand of experts who can analyze these big chunk of data. So if you have basic Python knowledge and want to explore powerful data analysis techniques, then go for this Learning Path. Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: Get solutions to your common and not-so-common data science problems Highly practical, real world examples that make data science your comfort zone Understand why is Mastering python data analysis with Pandas really useful Let's take a look at your learning journey. You will be introduced to the field of data science using Python tools to manage and analyze data. You will learn some of the fundamental tools of the trade and apply them to real data problems. Along the way, the Learning Path discusses the use of Python stack for data analysis and scientific computing, and expands on concepts of data acquisition, data cleaning, data analysis, and machine learning. You will learn how to apply Pandas to important but simple financial tasks such as modeling portfolios, calculating optimal portfolios based upon risk, and much more. On completion of this Learning Path, you will become an expert in analyzing your data efficiently using Python. Meet Your Expert: We have the best works of the following esteemed authors to ensure that your learning journey is smooth: Marco Bonzanini is a data scientist based in London, United Kingdom. He holds a Ph.D. in information retrieval from the Queen Mary University of London. He specializes in text analytics and search applications, and over the years, he has enjoyed working on a variety of information management and data science problems. Prabhat Ranjan has extensive industry experience in Python, R, and machine learning. He has a passion for using Python, Pandas, and R for various new, real-time project scenarios. He is a passionate and experienced trainer when it comes to teaching concepts and advanced scenarios in Python, R, data science, and big data Hadoop. His teaching experience and strong industry expertise make him the best in this arena.
