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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ureadup_sds/
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Coursera 课程《MySQL - 数据科学与商业分析统计学》总结： 本课程致力于教授数据科学和商业分析所需的核心技能：MySQL 和统计学。课程内容广泛，包含 300 多个讲座/文章，强调实践应用，通过真实场景的项目和案例，帮助学员掌握 SQL 和 MySQL 的使用，并结合统计学知识进行数据分析。 **课程亮点：** * **内容全面：** 涵盖从数据科学入门、编程基础到 SQL（MySQL）的全面知识，包括 JOIN、外键、主键、聚合函数等。 * **实战导向：** 包含 25 个 SQL/MySQL 应用和项目，例如“鳗的作用”、“统计学双刃剑”、“利用抽样分布帮助渔民捕捞金枪鱼”、“冰可乐案例与T分布”、“英超进球数估计（置信区间）”。 * **统计学深度：** 逐步深入到统计学概念，包括假设检验（单样本均值T检验、双样本均值T检验）、P值计算（手动和直接方法）、零假设与备择假设。 * **项目驱动学习：** 通过“冰可乐工厂证明伊布拉欣清白”和“帮助伊布拉欣提高冬季销售额”等引人入胜的故事化项目，生动讲解统计学概念。 * **高质量制作：** 课程材料由曾在微软、Facebook、谷歌等顶级公司工作的经验丰富的工程师精心准备，课程制作历时五个月，力求简单易懂，让学员爱上 SQL 和统计学。 * **讲师资深：** 讲师是资深开发人员和首席数据科学工程师，拥有丰富的专家系统和人工智能项目经验，以及作为导师和培训师的经验。 * **目标明确：** 旨在让所有学员热爱 SQL 和统计学，掌握将其应用于数据科学和商业分析的能力，为从事数据科学、机器学习、市场分析、编程或商业分析等职业打下坚实基础。 * **易于上手：** 特别强调 MySQL 的易用性，即使是初学者也能快速掌握。 **课程适合人群：** * 希望学习 SQL - MySQL 用于数据科学和统计学的人。 * 对数据分析、机器学习、市场分析、数据科学编程、商业分析和商业智能等职业感兴趣的人。 * 需要提升数据处理和分析技能的工程师和专业人士。 **总而言之，这是一门集 SQL 技能、统计学理论与实践项目于一体的综合性训练营，旨在帮助学员高效、愉快地掌握数据科学和商业分析的关键工具。**
300+ Lectures/Articles lectures include real life practical projects and examples for people need to learn SQL - MySQL for data science and statistics Enjoy practice 25 Apps/Projects in SQL - MySQL for data analytics and learn Statistics for data science.This is the Complete 2021 Bootcamp , Two courses in ONE COURSE. Do you like jobs in MySQL for data science ?Do you like jobs in Machine learning ?Do you like jobs in Marketing analyst ?Do you like jobs in Programming for data science ?Do you like jobs in Business analysis and business intelligence ?If the answer is yes , then all of the above needs MySQL and Statistics for data science.Who prepared this course material ? This course material is prepared from highly experienced engineers worked in a leader companies like Microsoft , Facebook and google.After hard working from five months ago we created 300+ Lectures/Articles to cover everything related to SQL - MySQL & statistics for data science . In no time with simple and easy way you will learn and love SQL for data science and statistics.We stress in this course to make it very spontaneous to make all students love SQL and statistics for data science. Who's teaching you in this course ?I'm senior developer and chief data science engineer . i worked for many projects related to expert systems and artificial intelligence.Also i worked as Tutor and consultant trainer with a leader international companies located in USA and UK.I spent over five months of hard working to create 300+ Lectures/Articles in super high quality to make all students enjoy and love SQL for data science and statistics. I'm sharing a lot of practical experience from my own work with you in this course.Why learn MySQL or SQL ? MySQL is a popular database platform for businesses because it is extremely easy to use. It is commonly used in combination with web development and data science. You hear "it's easy to work with" a lot in relation to computer languages, but MySQL truly is simple.For instance, someone with little to no knowledge of MySQL can easily establish a database.Of course, a lot of hosting providers make this process even simpler by handling all the necessary tasks for new website administrators, but it doesn't detract from the point that MySQL is relatively easy to use.I could not imagine data science without databases.What is my final goal after my students enroll in this course ? My final goal is to make all students and engineers love SQL for data science and statistics.My big challenge in this course is to make it professional course at the same time it should be very easy and simple for all People.Therefore you will notice that i used a lot of graphics and imaginary ideas to make you LOVE SQL for data science and statistics So, what are you waiting for? Click the "Take this course" button, and let's begin this journey together!What is course contents ? Starting introduction to data science and data analysis.Understand programming basics for data science learn SQL - MySQL basics.Write all the SQL joinsCreate Foreign key and primary key in MySQL databases. Learn how to start and stop MySQL server.Analyze data using Aggregate Functions.Read and import external CSV files into MySQL database.Export MySQL database table contents into CSV file. Awesome Projects and examples like: How Mr. Genie helped us to find all fishes in the sea ? Mr. Genie power versus statistics power The double edged sword of statistics Help fisherman to catch Tuna using sampling distribution Ice Cola example with student's t distribution.Estimation of goals in premier league ( using confidence interval ).TAKE YOUR BREATH BEFORE HYPOTHESIS TESTING One sample mean t test.Two sample mean t test.Null hypothesis and alternative hypothesis.What is P value ?How to calculate P value using manual and direct method ? Two mini stories for TWO PROJECTS related to hypothesis testing Project one is how Sarah used "one sample mean t test" for Ice Cola factory to prove that her brother Ibrahim is innocent ? Project two how Sarah used "two sample mean t test" for Ice Cola factory to help her brother Ibrahim to increase Ice Cola sales in winter ?.more and more..and more and more course contents#SQL #MySQL #MySQL-for-data-science #SQL-for-Data-science
