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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practical-financial-data-analysis-with-python-data-science/
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课程名称：使用Python数据科学进行实用金融数据分析 课程概述： 本课程是您学习如何在Python中分析现实世界金融数据的完整指南。涵盖了金融数据分析的所有主要方面，包括统计学、数据可视化、时间序列分析和机器学习。如果您参加本课程，将不必再学习其他课程或购买关于基于Python的数据分析的书籍。在大数据时代，全球众多公司利用Python来筛选海量信息。通过掌握使用Python分析金融数据的技能，您能为公司带来竞争优势，并进一步提升您的职业生涯。 授课专家： 本课程由Minerva Singh教授授课，她在牛津大学获得地理与环境研究的MPhil学位，最近在剑桥大学完成了博士学位。她在分析来自不同来源的真实数据方面拥有超过5年的经验，并在国际同行评审期刊上发表了多篇论文。Minerva教授注意到大多数Python数据科学课程和书籍未能考虑话题的多维特性，因此她深入探讨数据科学的特点，为您提供独特的学习基础。 课程内容： - 学习强大的Python金融数据分析工具包 - 掌握常用的技术、可视化方法和可以应用于金融数据的机器学习/深度学习技术 - 将这些框架应用于现实数据，包括时间序列股票和金融数据 - 无需之前的Python或统计/机器学习知识，课程从最基本的Python数据科学概念开始 教学方法： 该课程采用易于理解、动手实践的方法，简化并解决Python中最困难的概念。通过使用来自不同来源的真实数据，帮助学员实施这些方法。许多课程使用虚构数据，而本课程将为您提供实际应用基于Python的数据科学的能力。 完成课程后，您将能够轻松使用Python中的常见时间序列和金融分析工具包，并理解基础概念，以便选择适合您数据的算法和方法。我们将共同使用真实数据，并且您将获得课程中使用的所有代码和数据。 立即加入本课程！
THIS IS YOUR COMPLETE GUIDE TO FINANCIAL DATA ANALYSIS IN PYTHON!This course is your complete guide to analyzing real-world financial data using Python. All the main aspects of analyzing financial data- statistics, data visualization, time series analysis and machine learning will be covered in depth.If you take this course, you can do away with taking other courses or buying books on Python-based data analysis. In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in analysing financial data in Python, you can give your company a competitive edge and boost your career to the next level. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University. I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and I have produced many publications for international peer-reviewed journals. Over the course of my research, I realised almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic. So, unlike other instructors, I dig deep into the data science features of R and gives you a one-of-a-kind grounding in data science-related topics! You will go all the way from carrying out data reading & cleaning to finally implementing powerful statistical and machine learning algorithms for analyzing financial data.Among other things:You will be introduced to powerful Python-based packages for financial data analysis. You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for financial data. & you will learn to apply these frameworks to real-life data including temporal stocks and financial data. NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED!You'll start by absorbing the most valuable Python Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. My course will help you implement the methods using REAL DATA obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real-life.After taking this course, you'll easily use the common time-series and financial analysis packages in Python.You'll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will work with real data and you will have access to all the code and data used in the course. JOIN MY COURSE NOW!
