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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-time-series-data-analysis-bootcamp-with-python/
课程评论：没有评论
课程名称：《使用Python进行完整的时间序列分析》 概述：本课程是您学习使用Python进行时间序列数据分析的完整指南。课程内容将深入探讨分析时间序列数据的所有主要方面，您可以不再需要参加其他课程或购买相关书籍。在大数据时代，全球各地的公司使用Python来处理海量信息。掌握Python中的时间序列数据分析技能可以为您的公司提供竞争优势，同时也能提升您的职业生涯。 课程由经验丰富的数据科学家Minerva Singh主讲，她拥有牛津大学的地理与环境硕士学位和剑桥大学的博士学位，并在分析现实生活中的数据方面积累了超过5年的经验。她发现大多数Python数据科学课程和书籍未能考虑到主题的多维特性，因此该课程将提供独特的深入数据科学相关主题的基础知识。 您将学习如何进行数据读入和清洗，最终实现强大的统计和机器学习算法来分析时间序列数据。课程将介绍基于Python的强大时间序列分析包，包括常用技术、可视化方法和适用于时间序列数据的机器学习/深度学习技术。此外，您将学会将这些框架应用于现实生活中的数据，例如时间股票和金融数据。无需具备Python或统计/机器学习的先前知识！ 课程采用易于理解且实用的方法，帮助您掌握Python数据科学的基础和技巧。课程将使用来自不同来源的真实数据，帮助您将学到的知识应用于现实场景。完成课程后，您将能够轻松使用Python中的常见时间序列包，并理解适合您数据的算法和方法。 立即加入我的课程吧！
THIS IS YOUR COMPLETE GUIDE TO TIME SERIES DATA ANALYSIS IN PYTHON!This course is your complete guide to time series analysis using Python. So, all the main aspects of analyzing temporal data will be covered n 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 in analysing time series 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 to finally implementing powerful statistical and machine learning algorithms for analyzing time series data.Among other things:You will be introduced to powerful Python-based packages for time series analysis. You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for time series 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 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!
