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所在平台: Udemy |
课程主页: https://www.udemy.com/course/time-series-analysis-real-world-use-cases-in-python/
课程评论：没有评论
课程名称：时间序列分析：Python中的实际应用案例 课程概述：你是否希望在数据科学、人工智能和时间序列分析与预测领域找到高薪工作？你是一个希望进一步发展职业生涯的经验丰富的AI从业者吗？或是一个渴望通过实战获取数据科学和时间序列分析技能的未来数据科学家？如果你的答案是肯定的，那么这个课程正是为你而设！本课程将教授你实用技能，使你能够担任量化金融分析师、数据分析师或数据科学家。在商业中，数据科学与人工智能用于优化业务流程、最大化收入并降低成本。本课程的目的是以实用、有趣的方式，提供关于数据科学和时间序列在商业应用中的关键知识。学生将获得使用真实数据集的实践经验。 欢迎来到最优秀的在线学习资源，学习如何使用Python编程语言进行时间序列分析！本课程将教你使用Python进行时间序列数据预测所需的一切知识，以便预测未来的数据点。 课程任务包括： 1. 任务#1 @预测比特币收盘价：开发时间序列模型以预测比特币的收盘价。 2. 任务#2 @预测出生人数：开发时间序列模型以预测某一天的出生人数。 3. 任务#3 @预测股票价格：使用Facebook Prophet预测股票价格。 通过这个课程，你将掌握时间序列分析的核心技能，提升你的职业竞争力。
Are you looking to land a top-paying job in Data Science , AI & Time Series Analysis & Forecasting?Or are you a seasoned AI practitioner who want to take your career to the next level?Or are you an aspiring data scientist who wants to get Hands-on Data Science and Time Series Analysis?If the answer is yes to any of these questions, then this course is for you!This course will teach you the practical skills that would allow you to land a job as a quantitative financial analyst, a data analyst or a data scientist.In business, Data Science , AI is applied to optimize business processes, maximize revenue and reduce cost. The purpose of this course is to provide you with knowledge of key aspects of data science & Time Series applications in business in a practical, easy and fun way. The course provides students with practical hands-on experience using real-world datasets.Welcome to the best online resource for learning how to use the Python programming Language for Time Series Analysis!This course will teach you everything you need to know to use Python for forecasting time series data to predict new future data points.1.Task #1 @Predict closing Price of Bitcoin : Develop an Time Series model to predict closing price of Bitcoin2.Task #2 @Predict Number of Births: Develop Time Series Model to predict number of births on a particular day...3.Task #3 @Predict the Stock Prices: Predict the prices of stock using Facebook Prophet..
