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所在平台: Udemy |
课程主页: https://www.udemy.com/course/certified-entry-level-data-analyst-with-python-pced-questions/
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**课程名称：** Certified Entry-Level Data Analyst with Python (PCED-30-0x) **课程提供方：** CertCraft Institute **课程概览：** 本课程旨在帮助学员掌握使用Python进行数据分析的基础工具和技术，为考取PCED-30认证做准备。学员将学习必要的编程、数据处理和可视化技能，了解如何处理实际数据并有效地传达分析见解。 **学习目标：** * 使用Python清洗、转换和组织数据以进行分析。 * 熟练使用常见数据结构和库，如列表、字典、NumPy和pandas。 * 读取CSV、Excel、JSON等格式的数据文件，并进行过滤、排序和分组操作。 * 使用matplotlib和seaborn创建基础数据可视化图表。 * 应用统计摘要和简单分析技术来解读数据。 **先修要求：** * 具备基本的计算机操作能力，能够安装和运行软件。 * 了解Python基础（变量、循环、函数）将有帮助，但非必需。 * 需要一台安装了Python及数据分析库（pandas, NumPy, matplotlib）的电脑。 **目标学员：** * 备考PCED-30数据分析师认证的学员。 * 对数据分析、报告或入门级数据岗位感兴趣的初学者。 * 希望积累实际数据处理技能的学生和毕业生。 * 希望探索数据相关职业领域但无相关经验的职业转型者。 **课程主题：** * **数据分析基础：** 数据分析师的职责、工作流程和工具集。 * **Python数据处理：** 列表、字典、循环以及内置函数的使用。 * **文件处理：** 读写CSV、Excel和JSON格式的数据。 * **Pandas和NumPy应用：** 数据框、数组、索引、过滤和基础统计。 * **数据可视化：** 使用matplotlib和seaborn绘制图表以获取洞察和沟通。 * **基础分析技术：** 描述性统计、排序、分组和数据汇总。
Certified Entry-Level Data Analyst with Python (PCED-30)Course by CertCraft InstituteThe Certified Entry-Level Data Analyst with Python (PCED-30) course from CertCraft Institute introduces learners to the fundamental tools and techniques used in data analysis with Python. This course prepares individuals for the PCED-30 certification by teaching essential programming, data handling, and visualization skills, helping learners understand how to work with real-world data and communicate insights effectively.What You'll LearnUse Python to clean, transform, and organize data for analysisWork with common data structures and libraries such as lists, dictionaries, NumPy, and pandasRead data from files (CSV, Excel, JSON) and perform filtering, sorting, and grouping operationsCreate basic data visualizations using matplotlib and seabornApply statistical summaries and simple analysis techniques to interpret dataRequirementsBasic computer literacy and the ability to install and run softwareFamiliarity with Python fundamentals (variables, loops, functions) is helpful but not requiredAccess to a computer with Python and data analysis libraries (pandas, NumPy, matplotlib) installedWho This Course Is ForIndividuals preparing for the PCED-30 Data Analyst certificationBeginners interested in data analysis, reporting, or entry-level data rolesStudents and recent graduates looking to build practical data handling skillsCareer changers exploring data-related career paths with no prior experienceTopics CoveredData Analysis Foundations - What data analysts do, common workflows, and toolsetsPython for Data Handling - Lists, dictionaries, loops, and working with built-in functionsWorking with Files - Reading and writing data in CSV, Excel, and JSON formatsUsing pandas and NumPy - DataFrames, arrays, indexing, filtering, and basic statisticsData Visualization - Plotting data with matplotlib and seaborn for insights and communicationBasic Analysis Techniques - Descriptive statistics, sorting, grouping, and summarizing data
