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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analyst-skillpath-zero-to-hero-in-excel-sql-python/
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课程名称：数据分析师技能路径：Excel、SQL 和 Python 从零到英雄 课程概述： 本课程旨在教授数据驱动的决策制定、数据可视化、SQL 数据分析以及线性回归等预测分析方法，让学员成为合格的数据分析师。更新的内容包括“Excel 中的 Copilot”功能展示，Power Query、Power Pivot 和 DAX 的使用，以及通过有趣案例研究练习 SQL 的新部分。 完成本课程后，您将能够： - 熟练掌握 Excel 中常用的查找函数（如 Vlookup、Hlookup、Index 和 Match）。 - 熟练使用 Excel 数据工具，包括排序、过滤、数据验证和数据导入。 - 创建精彩的图表（条形图、散点图、直方图等）来展示数据。 - 熟练使用 SQL 工具，如 GROUP BY、JOINS 和子查询。 - 能够使用线性回归技术解决真实业务问题，并理解线性回归模型的结果并将其转换为可行的见解。 课程特色： - 整个课程强调通过实例进行教学，提供概念与具体用例的结合。 - 每个章节包含逐步实施数据分析模型的说明，以及可下载的文件和练习。 - 课程由具备丰富实战经验的导师教授，他们在全球分析咨询公司中担任管理职务，并帮助企业通过分析解决业务问题。 课程结构概览： 1. **Excel 数据分析**：学习在 Excel 中进行数据计算、转换、匹配、过滤、排序等操作，并利用各种图表可视化数据。 2. **SQL 数据分析**：掌握 SQL 的基本与高级操作，包括创建表、数据检索、子查询和数据聚合。 3. **机器学习模型的数据预处理**：了解数据的准备过程，包括数据探索、单变量和双变量分析、异常值处理、缺失值填充和变量转换。 4. **线性回归模型**：学习简单线性回归和多重线性回归的理论与实践，能够运行和解释结果。 报名后，您将获得可验证的完成证书，适合学生、业务经理及希望学习数据分析概念的各类人员。课程提供课后练习和测验，以帮助巩固所学内容，提升实际应用能力。 立刻点击注册，让我们在数据分析师技能路径的第一节课见！
[June 2025 update]Added a section on the "Copilot in Excel" which demonstrates the capabilities and limitations of Copilot - Microsoft's GenAI powered assistant in ExcelAdded a section on "Power Query, Power Pivot and DAX in Excel" for building powerful and automated reports in ExcelAdded a video on the "Analyze Data" option in MS ExcelAdded a new section on how to practice SQL using fun case studies.You're looking for a complete course on how to become a data analyst, right?You've found the right Data Analyst Masterclass with Excel, SQL & Python course! This course will teach you data-driven decision-making, data visualization, data analytics in SQL, and the use of predictive analytics like linear regression in business settings.After completing this course you will be able to:Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index, and MatchBecome proficient in Excel data tools like Sorting, Filtering, Data validations, and Data importingMake great presentations using Bar charts, Scatter Plots, Histograms, etc.Become proficient in SQL tools like GROUP BY, JOINS, and SubqueriesBecome competent in using sorting and filtering commands in SQLLearn how to solve real-life business problems using the Linear Regression techniqueUnderstand how to interpret the result of the Linear Regression model and translate them into actionable insightHow this course will help you?A Verifiable Certificate of Completion is presented to all students who undertake this course on Data Analyst Skillpath in Excel, SQL, and Python.If you are a student, business manager, or business analyst, or an executive who wants to learn Data Analytics concepts and apply data analytics techniques to real-world problems of the business function, this course will give you a solid base for Data Analytics by teaching you the most popular data analysis models and toolsWhy should you choose this course?We believe in teaching by example. This course is no exception. Every Section's primary focus is to teach you the concepts through how-to examples. Each section has the following components:Concepts and use cases of different Statistical tools required for evaluating data analytics modelsStep-by-step instructions on implementing data analytics modelsDownloadable files containing data and solutions used in the courseClass notes and assignments to revise and practice the conceptsThe practical classes where we create the model for each of these strategies are something that differentiates this course from any other course available online.What makes us qualified to teach you?The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.We are also the creators of some of the most popular online courses - with over 1,200,000 enrollments and thousands of 5-star reviews like these ones:This is very good, i love the fact the all explanation given can be understood by a layman - JoshuaThank you Author for this wonderful course. You are the best and this course is worth any price. - DaisyOur PromiseTeaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.Download Practice files, take Quizzes, and complete AssignmentsWith each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts like Data Analytics in MS Excel, SQL, and Python. Each section contains a practice assignment for you to practically implement your learning on Data Analytics.What is covered in this course?The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tools which are MS Excel, SQL, and Python. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data Analysis.Let me give you a brief overview of the coursePart 1 - Excel for data analyticsIn the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.Part 2 - SQL for data analyticsIN the second section, i.e. SQL for data analytics, we will be teaching you everything in SQL that you will need for Data analysis in businesses. We will start with basic data operations like creating a table, retrieving data from a table etc. Later on, we will learn advanced topics like subqueries, Joins, data aggregation, and pattern matching.Part 3 - Preprocessing Data for ML modelsIn this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis, these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do univariate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.Part 4 - Linear regression model for predicting metricsThis section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.I am pretty confident that the course will give you the necessary knowledge on Data Analysis, and the skillsets of a Data Analyst to immediately see practical benefits in your workplace.Go ahead and click the enroll button, and I'll see you in lesson 1 of this Data Analyst Skillpath course!CheersStart-Tech Academy
