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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sql-bigquery-quick-essentials-course/
课程评论：没有评论
课程名称：SQL 与 BigQuery 基础知识（少于 2 小时） 课程概述：大家好！我是皮埃尔，一名产品经理和数据分析师，我的使命是让技术变得更易于接触。就像你们中的许多人一样，我并不是来自技术背景。我不得不独立学习各种工具和技术，我发现这些技能在我的职业生涯中极为有用。这就是我创建这个针对数据分析的课程的原因，特别是 SQL 和 BigQuery。 在当今以数据为中心的世界中，掌握 SQL 和数据仓库对于各行各业的专业人士来说至关重要。令人惊讶的是，这些技能对于没有技术背景的人而言也是非常易于接近的。本课程旨在揭开 SQL 和 BigQuery 基础知识的神秘面纱，赋予学习者利用数据分析的力量。 在整个课程中，学习者将开启一段解锁数据分析潜力的旅程。通过对 SQL 基础知识的探讨，参与者将掌握查询数据库、操作数据和提取有价值见解等基本概念。实践练习和实际案例将帮助参与者建立执行 SQL 命令和浏览数据仓库的信心。 本课程还提供了对 BigQuery 的介绍，这是谷歌强大的云数据仓库。参与者将学习如何设置 BigQuery 账户、创建项目、导入数据以及有效地与表格互动。了解计费结构和成本监控将确保资源的高效使用。 由于 Google Workspace 和 BigQuery 免费提供，参与者可以轻松开始 SQL 实现，而无需任何前期费用。这种可接触性使个人能够立即开始分析自己的数据集，而无需依赖外部资源或承担额外费用。 到课程结束时，学习者将具备自信地迈出数据分析之旅所需的知识和技能。无论是企业家、自由职业者还是有志于数据的爱好者，本课程都提供了 SQL 和 BigQuery 的全面基础，使他们能够利用数据驱动的见解进行明智的决策和职业发展。
Hello everyone! I'm Pierre, a product manager and data analyst with a mission to make tech more accessible. Like many of you, I don't come from a technical background. I've had to upskill myself on various tools and techniques on my own and I've found these skills to be immensely useful in my career. That's why I've created this course focused on data analytics, specifically SQL and BigQuery.In today's data-centric world, mastering SQL and data warehouses is essential for professionals across various industries. Surprisingly, these skills are highly approachable even for individuals without a technical background. This course is designed to demystify the fundamentals of SQL and BigQuery, empowering learners to harness the power of data analysis.Throughout this course, learners embark on a journey to unlock the potential of data analysis. With an exploration of SQL essentials, participants grasp foundational concepts such as querying databases, manipulating data, and extracting valuable insights. Hands-on exercises and practical examples build confidence in executing SQL commands and navigating data warehouses.This course also offers an introduction of BigQuery, Google's powerful cloud-based data warehouse. Participants learn to set up BigQuery accounts, create projects, import data, and interact with tables effectively. Understanding the billing structure and monitoring costs ensures efficient resource usage.With Google Workspace and BigQuery being freely available, participants can seamlessly dive into SQL implementation without any upfront costs. This accessibility enables individuals to begin analyzing their own datasets immediately, without relying on external resources or incurring expenses.By the course's conclusion, learners emerge equipped with the knowledge and skills needed to confidently embark on their data analysis journey. Whether entrepreneurs, freelancers, or aspiring data enthusiasts, this course offers a comprehensive foundation in SQL and BigQuery, enabling the leverage of data-driven insights for informed decision-making and professional advancement.
