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所在平台: Udemy |
课程主页: https://www.udemy.com/course/databricks-certified-data-analyst-associate-practice-exams-m/
课程评论：没有评论
**课程名称：** Databricks Certified Data Analyst Associate 实践考试 **课程概述：** 本课程是为准备“Databricks Certified Data Analyst Associate”考试而设计的综合性实践课程。内容涵盖了使用Databricks及相关工具进行数据分析、数据管理、SQL查询、数据可视化以及机器学习的关键主题。无论您是希望打下坚实数据分析基础的初学者，还是旨在提升技能的资深分析师，本课程都将提供深入的知识和实践机会，助您顺利通过认证考试。 **课程主题：** * **Databricks SQL:** 学习如何高效地使用Databricks SQL查询和处理大型数据集。理解其与Databricks notebooks和clusters的集成，实现复杂操作的无缝处理。掌握创建交互式仪表板以进行直观数据探索。 * **数据管理:** 探索数据管理基础，重点关注DataFrames和Delta Lake。理解ACID事务、Schema演进、时间旅行、版本控制、性能调优和数据质量保证技术。 * **SQL for Data Analysis:** 强化SQL技能，涵盖语法、函数、运算符、子查询、窗口函数、公用表表达式和视图。学习如何使用SQL有效地转化和操作数据。 * **数据可视化与仪表板:** 深入学习数据可视化工具，如Databricks Visualizations、Matplotlib、Seaborn、Plotly和Bokeh。学习如何创建引人入胜且信息丰富的仪表板，使复杂的数据趋势易于理解。 * **分析应用:** 涉及机器学习，包括MLflow、Spark MLlib、Scikit-learn、TensorFlow和PyTorch。探索从基础线性回归到高级神经网络的各种算法。理解如何选择合适的算法并评估模型性能以获得有意义的数据洞察。 **考试详情：** * **实际考试题目数量：** 45题 * **考试时长：** 90分钟 * **通过分数：** Databricks将另行公布。 * **考试形式：** 考试题目旨在考察您对Databricks SQL、数据管理、SQL查询、数据可视化和机器学习概念的知识。预计会包含选择题、场景题和实际操作题，以评估您对课程主题的技能和理解。 **备考支持：** 本课程包含5套高质量的实践考试，并提供详细的解释，确保全面备考。提供的备考指南将进一步提供见解和技巧，帮助您成功。 完成本课程并通过认证考试后，您将能够运用Databricks及相关工具分析数据并提取有价值的洞察，成为一名精通的Databricks Certified Data Analyst Associate。
"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 in the Actual Exam: 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 5 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.
