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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-analyst-skill-path-in-hindi/
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课程名称：数据分析师技能路径：使用Excel、SQL和Python进行机器学习（印地语） 课程概览：您是否在寻找一门完整的课程来成为数据分析师？您找到了这门数据分析师大师班，涵盖Excel、SQL和Python！本课程将教您数据驱动的决策制定、数据可视化、SQL中的数据分析，以及在商业环境中使用线性回归等预测分析技术。 完成本课程后，您将能够： - 精通Excel中最流行的查找函数（如Vlookup、Hlookup、Index和Match） - 熟练使用Excel数据工具，如排序、过滤、数据验证和数据导入 - 使用柱状图、散点图、直方图等制作出色的演示 - 精通SQL工具，如GROUP BY、JOIN和子查询 - 学会在SQL中使用排序和过滤命令 - 使用线性回归技术解决实际商业问题 - 理解线性回归模型结果并将其转化为可行的洞察 该课程将如何帮助您？ 参加本课程的所有学生将获得可验证的结业证书。无论您是学生、商业经理、商业分析师还是希望学习数据分析概念并将其应用于实际商业问题的高管，这门课程将为您提供坚实的数据分析基础，教授您最受欢迎的数据分析模型和工具。 为什么选择这门课程？ 本课程以实例教学为主，每个部分都通过示例来讲解概念。每个部分包含以下内容： - 评估数据分析模型所需的不同统计工具的概念和用例 - 实施数据分析模型的逐步说明 - 可下载的文件包含课程中使用的数据和解决方案 - 课堂笔记和赋予练习的作业以供复习和实践 课程的实用性使其与其他在线课程相比具有更大的优势。 授课团队的资质： 课程由Abhishek（MBA - FMS德里，B. Tech - IIT鲁尔基）和Pukhraj（MBA - IIM艾哈迈达巴德，B. Tech - IIT鲁尔基）讲授。作为全球分析咨询公司的管理者，他们利用分析帮助企业解决问题，并将这种经验融入课程中。两位讲师创建过一些最受欢迎的在线课程，累计有超过120万的注册，获得了成千上万的5星好评。 我们的承诺： 我们致力于教导学生。如有关于课程内容、练习单或任何主题的问题，学生可以随时在课程中提问或直接发送消息。 下载练习文件、参加测验并完成作业： 每节课都有课堂笔记供您参考。同时，您还可以进行测验以检查对Excel、SQL和Python中数据分析概念的理解。每个部分都有实践作业，帮助您将学习应用于数据分析。 课程覆盖内容： 数据分析不仅仅在于分析数据，更在于解读结果与获得洞察。我们使用了最受欢迎的数据分析软件工具，包括Excel、SQL和Python，帮助没有编码背景的学生学习和应用分析与机器学习概念，以解决实际数据分析问题。 课程大纲： 第一部分 - Excel数据分析 掌握Excel在数据相关操作中的应用，如计算、转换、匹配、过滤、排序和汇总数据，并学习如何使用不同类型的图表可视化数据和发现潜在的数据显示模式。 第二部分 - SQL数据分析 学习数据分析所需的所有SQL知识，从基本数据操作开始，逐步深入到子查询、连接、数据汇总和模式匹配等高级主题。 第三部分 - 数据预处理用于机器学习模型 逐步学习如何获取数据并为分析做好准备，包括业务知识的重要性、数据探索、单变量和双变量分析、离群值处理、缺失值填补、变量变换和相关性分析。 第四部分 - 线性回归模型预测指标 从简单线性回归开始，接着学习多重线性回归，且保持理论简练易懂，使您理解概念的来源及其重要性，并学习如何运行和解读结果。 我相信这门课程会为您提供数据分析所需的知识和数据分析师的技能，使您能够在工作中立即看到实际收益。快来点击注册按钮，期待在数据分析师技能路径课程的第一节课上见到您！
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
