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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analytics-career-track/
课程评论：没有评论
课程名称：数据分析职业路径：72天数据分析师训练营 课程概述：如果您渴望踏上数据分析的充实旅程，欢迎加入数据分析职业路径。在这里，您将获得全面的技能组合和宝贵的知识，以在数据分析师的角色中蓬勃发展。 课程内容：该课程为期72天，旨在让您从初学者成长为成熟的数据分析师。您将学习数据分析所需的基本技能和工具，包含实践经验，以便在这一领域中 excel。 主要目标： 1. **掌握基本工具**：课程主要覆盖三个核心支柱：Excel、SQL和Python。起初，您将掌握Excel，通过数据操作、计算和可视化比对以有效传达洞察。 2. **实践经验**：通过参与实践数据分析项目和编码练习，提升解决问题的能力。课程注重动手学习，您将应用新学的技能来解决各行业数据分析师面临的实际挑战。 3. **基础知识**：掌握数据分析理论、统计方法、假设检验及机器学习基础，奠定职业生涯的坚实基础。学习数据清洗与操作技术，包括排序、过滤和条件格式设置等。 技能提升： - **Excel精通**：学习数据操作、计算和可视化。 - **SQL精通**：学习数据库查询与数据操控，通过SQL命令提取相关信息。 - **Python精通**：利用Python库（如Pandas、NumPy和Matplotlib）进行高级数据分析、自动化任务及创建交互式可视化。 - **ChatGPT技术**：应用ChatGPT进行数据准备和复杂的数据操作，识别趋势与模式。 - **Power BI精通**：熟练使用Power BI连接数据源，转换原始数据为有意义的洞察，并创建交互式仪表板和报告。 课程亮点： - **实用作业**：超过50个实践作业、140个编码练习和10次测验。 - **顶点项目**：通过两个综合的顶点项目（银行数据分析和体育数据分析）将新技能应用于真实场景。 - **职业准备**：培养实现成功数据分析师所需的专业技能和实用知识。 最终收益： - **适应力**：掌握多种工具和技术，适用各种数据分析场景。 - **解决问题的能力**：通过动手数据分析练习强化批判性思维能力。 - **行业相关知识**：掌握最新的数据分析方法学和最佳实践。 - **个人作品集**：构建强大作品集，通过实际项目展示技能，证明自己在就业市场中的准备情况。 加入我们的数据分析职业路径，开启数据分析世界的无限可能，不论您是希望开始数据分析职业还是提升现有技能，此课程都将赋予您在数据领域成功的能力。一起踏上这段激动人心的旅程，在短短60天内解锁您的数据分析潜力！
Are you eager to embark on a rewarding journey into the world of data analytics? Welcome to the Data Analytics Career Track, where you'll gain a comprehensive skill set and invaluable knowledge to thrive as a data analyst.Course Overview: Embark on a transformative 72-day journey into the world of data analytics, where you'll learn the essential skills and tools to become a successful data analyst. This comprehensive course is designed to take you from a beginner to a proficient data analyst, equipping you with the knowledge and practical experience needed to excel in the field.Key Objectives:Proficiency in Essential Tools: The course curriculum is structured to cover three core pillars of data analysis: Excel, SQL, and Python. You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.Hands-on Experience: Engage in practical data analysis projects and coding exercises, honing your problem-solving skills through immersive learning experiences. With a focus on hands-on learning, you'll work on real-world projects and case studies, applying your newfound skills to solve practical challenges faced by data analysts in various industries.Foundational Knowledge: Gain insights into data analysis theories, statistical methods, hypothesis testing, and machine learning fundamentals, laying a solid groundwork for your career. Learn A-Z data cleaning and manipulation techniques, including sorting, filtering, conditional formatting, and advanced analysis with pivot tables and charts. Acquire a deep understanding of relational database management systems (RDBMS), covering key concepts such as primary keys, foreign keys, and SQL manipulation.Excel Proficiency: You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.SQL Proficiency: You'll dive into SQL, the language of databases, gaining proficiency in querying and manipulating data stored in relational databases. You'll learn how to extract relevant information using SQL commands, perform data joins and aggregations, and optimize queries for efficiency.Python Proficiency: you'll explore Python, a powerful programming language widely used for data analysis and visualization. You'll discover how to leverage Python libraries such as Pandas, NumPy, and Matplotlib to conduct advanced data analysis, automate tasks, and create interactive visualizations.ChatGPT Proficiency: you'll use ChatGPT for data preparation, including dealing with missing data, outliers, and converting data types, complex data manipulation tasks, such as merging datasets, creating pivot tables, executing sophisticated data analysis, identifying trends, patterns, and making predictions using advanced machine learning models like the random forest regressor.Power BI Proficiency: You'll become proficient in Power BI, a leading business analytics tool that allows you to connect to various data sources, transform raw data into meaningful insights, and create interactive dashboards and reports. You'll learn how to utilize Power Query for data cleaning and transformation, design visually appealing and informative charts and dashboard.Practical Assignments: Challenge yourself with over 50 practical assignments, 140 coding exercises, and 10 quizzes spanning the breadth of the course curriculum.Capstone Projects: Apply your newfound skills to real-world scenarios with two comprehensive capstone projects focused on bank data analysis and sports data analysis, providing a holistic view of the data analytics workflow.Benefits of the Course:Career Readiness: Prepare for a successful career as a data analyst with essential professional skills and practical knowledge.Versatility: Gain proficiency in multiple tools and techniques, making you adaptable to diverse data analysis scenarios and industry demands.Problem-solving Skills: Enhance your analytical and critical thinking abilities through hands-on data analysis exercises and coding challenges.Industry-Relevant Learning: Stay ahead of the curve with up-to-date insights into data analysis methodologies and best practices.Portfolio Enhancement: Build a robust portfolio showcasing your expertise through practical projects and assignments, demonstrating your readiness for the job market.Join us on the Data Analytics Career Track and unlock endless possibilities in the world of data analysis. Whether you're looking to kickstart a career in data analytics or enhance your existing skills, this course will empower you to succeed in the dynamic world of data. Join us on this exciting journey and unlock your potential as a data analyst in just 60 days!
