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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-analyst-associate-5-mock-exams/
课程评论：没有评论
Coursera 课程概览：Databricks 认证数据分析师助理：4 场考试 - 2025 本课程旨在帮助您为 Databricks 认证数据分析师助理考试做好准备。课程内容全面，涵盖使用 Databricks 及相关工具进行数据分析、管理、SQL 查询、数据可视化和机器学习的基础知识。 **课程主题包括：** * **Databricks SQL：** 高效查询和操作大数据集，了解其与 Databricks notebook 和集群的集成。 * **数据管理：** 学习 DataFrames 和 Delta Lake 的基础知识，包括 ACID 事务、Schema 演进、时间旅行、版本控制、性能调优和数据质量。 * **SQL 数据分析：** 强化 SQL 技能，掌握语句、函数、运算符、子查询、窗口函数、公用表表达式和视图。 * **数据可视化与仪表板：** 使用 Databricks Visualizations、Matplotlib、Seaborn、Plotly 和 Bokeh 创建引人入胜的仪表板。 * **分析应用：** 学习 MLflow、Spark MLlib、Scikit-learn、TensorFlow 和 PyTorch 等机器学习框架，探索各类算法。 **考试详情：** * **问题数量：** 45 道 * **时长：** 90 分钟 * **考试形式：** 包括多项选择、场景题和实践题。 **备考资源：** * 包括 4 套高质量模拟试题，提供详细解析。 * 提供备考指南，包含额外见解和技巧。 完成此课程并通过认证考试后，您将获得使用 Databricks 及相关工具分析数据、提取有价值见解的专业能力，成为一名合格的 Databricks 认证数据分析师助理。
"Databricks Certified Data Analyst Associate" is a comprehensive course designed to prepare you for the Databricks Certified Data Analyst Associate Exam. This course covers essential topics related to data analysis, management, SQL querying, data visualization, and machine learning using Databricks and related tools. Whether you're a beginner looking to gain a strong foundation in data analytics or an experienced analyst aiming to enhance your skills, this course provides in-depth knowledge and hands-on practice to succeed in the certification exam.Course Topics Covered:Databricks SQL: Learn how to efficiently query and manipulate large datasets using Databricks SQL. Understand the integration with Databricks notebooks and clusters, enabling seamless handling of complex operations. Master the creation of interactive dashboards for intuitive data exploration.Data Management: Explore the fundamentals of managing data, focusing on DataFrames and Delta Lake. Understand ACID transactions, schema evolution, time travel, versioning, performance tuning, and data quality assurance techniques.SQL for Data Analysis: Strengthen your SQL skills, covering syntax, functions, operators, subqueries, window functions, common table expressions, and views. Learn how to transform and manipulate data effectively using SQL.Data Visualization and Dashboards: Dive into data visualization tools such as Databricks Visualizations, Matplotlib, Seaborn, Plotly, and Bokeh. Discover how to create engaging and informative dashboards, making complex data trends accessible and understandable.Analytics Applications: Delve into machine learning with MLflow, Spark MLlib, Scikit-learn, TensorFlow, and PyTorch. Explore various algorithms, from basic linear regression to advanced neural networks. Understand how to choose the right algorithm and assess model performance for meaningful data insights.Exam Details:Number of Questions: 45Duration: 90 minutesPassing Score: The passing score for the exam will be specified by Databricks.Format: The exam questions are designed to test your knowledge of Databricks SQL, data management, SQL querying, data visualization, and machine learning concepts. Expect a mix of multiple-choice, scenario-based, and practical questions that assess your skills and understanding of the course topics.Preparation: The course includes 4 high-quality practice tests with detailed explanations, ensuring thorough preparation for the exam. The provided prep guide offers additional insights and tips to help you succeed.Upon completing this course and passing the certification exam, you'll have the expertise to analyze and derive valuable insights from data using Databricks and related tools, making you a proficient Databricks Certified Data Analyst Associate.
