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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-analysis-and-data-science/
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课程名称：Python数据分析 课程概述：欢迎参加MTF学院的“Python数据分析”课程！在当今时代，数据分析能力是众多行业成功的关键技能。Python以其多功能性、易用性和强大的库（如Pandas、NumPy、Matplotlib和Seaborn）崭露头角，成为数据分析领域的领导者。本课程将引导您掌握使用Python进行数据工作的基本技术，无论您是想成为数据分析师的学生、研究人员，还是希望在简历中添加数据技能的专业人士，这门课程都将为您提供将原始数据转化为可行洞见所需的实用知识。 您将首先熟悉Python环境（课程包含快速回顾以帮助有点生疏的学员），然后深入学习数据处理的核心库Pandas。您将学会如何有效清理和准备杂乱的数据集，处理缺失值、验证数据质量，并将数据转换为适合分析的格式。 课程内容不仅限于数据清理，您还将学习如何使用Python库进行描述性和推断性统计分析，包括回归分析，以理解数据模式和关系。您还将发现合并、连接、透视和重塑数据集的技巧，以获得不同的信息视角。此外，时间序列数据的处理也将在课程中得到涉及。 良好的沟通至关重要！本课程还涉及如何使用Python强大的绘图库创建引人注目的数据可视化。您将学习如何以可视方式表达您的发现，以讲述清晰且有影响力的数据故事，与利益相关者产生共鸣。 整门课程还提供实践练习和实例，让您能够立即应用所学知识，增强信心和实践技能。到课程结束时，您将具备处理各种数据分析项目的实用技能和信心，能够将原始数据转化为有意义的见解和可视化结果。无需先前的数据分析经验，基础的Python知识会有所帮助，但并非必需。 今天就来报名，迈出成为使用Python进行数据分析的熟练分析师的第一步吧！ 课程提供单位：MTF管理、技术与金融学院，总部位于葡萄牙里斯本。该院校专注于商科、科学技术、银行和金融领域的教育与研究。MTF在217个国家设有分支，已受到超过775,000名学生的选择。 课程作者：Tayzer是一名优秀的数据分析师和研究员，跨学科背景结合了工程、数据科学和产品开发。他拥有可再生能源工程硕士学位和环境工程学士学位，在现代商业挑战中将可持续技术与数据驱动的决策相结合。Tayzer在数据分析和工程领域的多个行业发挥了重要作用，参与了多项与数据相关的创新项目。 课程描述：准备好将原始数据转化为强大见解了吗？我们很高兴推出全新课程“Python数据分析”！在这个数据驱动的世界，掌握数据分析已经成为一项必要技能。借助诸如Pandas、NumPy、Matplotlib和Seaborn等库，这门全面的课程旨在帮助您克服各种数据分析难题。无论您是有抱负的数据分析师、学生、研究人员，还是希望提升技能的专业人士，本课程均适合您！ 您将在本课程中学习： - 初始设置：Python环境搭建及基础知识回顾。 - Pandas数据处理：掌握数据分析的基石——清理、准备和转换杂乱的现实数据集。 - 统计分析：进行描述性和推断性统计分析，包括回归分析以发现数据模式和关系。 - 数据集成：学习合并、连接、透视和重塑数据集以获得多样化视角。 - 时间序列数据：有效处理和分析时间相关信息。 - 引人注目的可视化：使用Python强大的绘图库创建有影响力的数据故事。 - 实践练习：通过实际练习和真实案例及时应用知识。 我们将全程指导您。快来报名，迈出成为熟练数据分析师的第一步吧！
Welcome to course: Python for Data analysis by MTF InstituteAre you ready to unlock the power hidden within data? In today's world, the ability to analyze data is a crucial skill for success in countless industries. Python has emerged as the undisputed leader in the data analysis landscape, thanks to its versatility, ease of use, and incredibly powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn.This comprehensive course, Python for Data Analysis, is your guide to mastering the essential techniques for working with data using Python. Whether you're an aspiring data analyst, a student, a researcher, or a professional looking to add valuable data skills to your resume, this course provides the practical knowledge you need to turn raw data into actionable insights.You will start by getting comfortable with the Python environment (a quick recap is included if you're a bit rusty) and dive deep into the Pandas library, the cornerstone of data manipulation in Python. Learn how to effectively clean and prepare messy real-world datasets, handling missing values, validating data quality, and transforming data into the right format for analysis.Beyond just cleaning, you'll learn how to perform both descriptive and inferential statistics using Python libraries, including applying regression analysis to understand data patterns and relationships. Discover techniques to merge, join, pivot, and reshape datasets to gain different perspectives on your information. You'll also explore how to handle time series data, a common format in many domains.Communication is key! This course also covers how to create compelling data visualizations using Python's powerful plotting libraries. Learn to represent your findings visually to tell clear and impactful data stories that resonate with stakeholders.Throughout the course, hands-on practice exercises and examples will give you the opportunity to apply what you've learned immediately, building your confidence and practical skills.By the end of this course, you will have the practical skills and confidence to tackle a wide range of data analysis projects using Python, turning raw data into meaningful insights and visualizations. No prior data analysis experience is necessary. Basic Python knowledge is helpful but not strictly required.Enroll today and take the first step towards becoming a skilled data analyst using the power of Python!Course provided by MTF Institute of Management, Technology and FinanceMTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance. MTF R & D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things. MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.MTF is present in 217 countries and has been chosen by more than 775000 students.Course Author:Tayzer is a skilled data analyst and researcher with a cross-disciplinary background that bridges engineering, data science, and product development. With a Master's degree in Solar Energy Engineering and Bachelor's degree in Environmental Engineering, Tayzer brings a strong foundation in sustainable technologies and data-driven decision-making to modern business challenges.Throughout his career, Tayzer has played pivotal roles in data analytics and engineering across sectors including smart home technology, consulting, and human resources. He has worked across both innovative startups and major consulting firms, where he designed and implemented ETL pipelines, implemented data governance frameworks, and built performance dashboards to inform strategic decisions. His work often focuses on translating complex datasets into actionable insights that drive operational efficiency and product innovation.In addition to his professional roles, Tayzer has been actively involved in research since the early stages of his career, contributing to studies on renewable energy, solar system design, and environmental impact. His academic contributions include co-authored publications on sustainable energy management and resource optimization.With a multicultural and multilingual background, Tayzer leverages his international experience to collaborate on data-driven projects, fostering innovation through data analytics and sustainable thinking.Course Description:Are you ready to transform raw data into powerful insights?We're thrilled to announce the launch of our brand new course: "Python for Data Analysis"!In data-driven world, mastering data analysis is no longer a luxury - it's a necessity. Python, with its incredible ecosystem of libraries like Pandas, NumPy, Matplotlib, and Seaborn, is your ultimate tool for success. This comprehensive course is designed to equip you with the essential techniques to tackle any data analysis challenge using Python. Whether you're an aspiring data analyst, a student, a researcher, or a professional looking to upskill, this program is for YOU! What you'll learn in this course:Getting Started: Python environment setup & a quick recap of Python basics. Data Manipulation with Pandas: Master the cornerstone of data analysis - cleaning, preparing, and transforming messy real-world datasets. Statistical Analysis: Perform both descriptive and inferential statistics, including regression analysis to uncover patterns and relationships. Data Integration: Learn to merge, join, pivot, and reshape datasets for diverse perspectives. Time Series Data: Effectively handle and analyze time-dependent information. Compelling Visualizations: Create impactful data stories using Python's powerful plotting libraries. Hands-on Practice: Apply your knowledge immediately with practical exercises and real-world examples. No prior data analysis experience is necessary! Basic Python knowledge is helpful but not strictly required.We'll guide you every step of the way. Enroll today and take the first step towards becoming a skilled data analyst with the power of Python!
