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所在平台: Udemy |
课程主页: https://www.udemy.com/course/create-your-calculator-learn-python-programming-basics-fast/
课程评论：没有评论
**课程名称：** Create Your Calculator: Learn Python Programming Basics Fast **课程概述：** 本课程旨在帮助您快速掌握Python编程基础，并能动手创建一个属于自己的计算器。课程强调了学习数据分析和数据科学的重要性，并列举了五个关键理由： 1. **培养解决问题能力：** 学习分析性思维，这对职业和日常生活都至关重要。 2. **高需求技能：** 数据分析师和数据科学家需求旺盛，且随着企业对数据依赖的增加，这一需求的价值还将持续增长。 3. **分析无处不在：** 数据存在于各个公司和领域，了解和利用数据是提升流程和抓住机遇的关键。 4. **重要性日益凸显：** 海量数据的时代，从数据中提取洞察以辅助决策的价值前所未有，这将带来更优秀的就业机会。 5. **技能多样性：** 数据分析领域融合了计算机科学、商业和数学，同时也需要良好的沟通能力来解释复杂信息。 学习Python编程，还将为您打开“物联网”和“智慧城市”等领域的大门，这些领域结合了数据科学与工程。 **学习内容：** 课程内容涵盖Python编程的基础知识，包括： * 入门（Hello World） * 软件 * 变量和数据类型 * 数据类型转换 * 算术运算符 * 比较运算符 * 赋值运算符 * 布尔运算符 * 决策制定（IF语句） * 循环（while循环，for循环） * 列表 * 函数 * 模块 * 对象和类 * 创建您自己的计算器 **进阶与认证：** 本课程是获得 **SVBook Certified Data Miner using Python** 认证的系列课程之一。完成该系列课程（包括本课程、Applied Statistics using Python with Data Processing、Advanced Data Visualizations using Python with Data Processing、Machine Learning with Python）并成功通过50道题的考试，即可获得此认证。 该系列课程将带领您从Python基础，到应用统计学（描述性、推断性、回归分析）和数据可视化（条形图、饼图、箱线图、散点图矩阵、Seaborn高级可视化、Plotly交互式图表），再到机器学习和混淆矩阵，全面覆盖IBM CRISP-DM模型的“数据理解”、“数据准备”、“建模”和“评估”阶段，最终使您能够独立完成数据挖掘项目。
Why learn Data Analysis and Data Science?According to SAS, the five reasons are1. Gain problem solving skillsThe ability to think analytically and approach problems in the right way is a skill that is very useful in the professional world and everyday life. 2. High demandData Analysts and Data Scientists are valuable. With a looming skill shortage as more and more businesses and sectors work on data, the value is going to increase. 3. Analytics is everywhereData is everywhere. All company has data and need to get insights from the data. Many organizations want to capitalize on data to improve their processes. It's a hugely exciting time to start a career in analytics.4. It's only becoming more importantWith the abundance of data available for all of us today, the opportunity to find and get insights from data for companies to make decisions has never been greater. The value of data analysts will go up, creating even better job opportunities. 5. A range of related skillsThe great thing about being an analyst is that the field encompasses many fields such as computer science, business, and maths. Data analysts and Data Scientists also need to know how to communicate complex information to those without expertise.The Internet of Things is Data Science + Engineering. By learning data science, you can also go into the Internet of Things and Smart Cities. This is the bite-size course to learn Python Programming. You will learn Python Programming very fast and You will create your own calculator very soon after learning the course. You can look into the following courses to get SVBook Certified Data Miner using PythonSVBook Certified Data Miner using Python are given to people who have completed the following courses:- Create Your Calculator: Learn Python Programming Basics Fast (Python Basics)- Applied Statistics using Python with Data Processing (Data Understanding and Data Preparation)- Advanced Data Visualizations using Python with Data Processing (Data Understanding and Data Preparation)- Machine Learning with Python (Modeling and Evaluation)and passed a 50 questions Exam. The four courses are created to help learners understand about Python programming basics, then applied statistics (descriptive, inferential, regression analysis) and data visualizations (bar chart, pie chart, boxplot, scatterplot matrix, advanced visualizations with seaborn, and Plotly interactive charts ) with data processing basics to understand more about the data understanding and data preparation stage of IBM CRISP-DM model. The learner will then learn about machine learning and confusion matrix, which is the modeling and evaluation stages of the IBM CRISP-DM model. The learner will be able to do data mining projects after learning the courses.ContentGetting StartedHello World SoftwareVariables and Data TypesData types ConversionArithmetic OperatorsComparison OperatorsAssignment OperatorsBoolean OperatorsDecision Making I (IF statements)Loop (while loop, for loop)ListsFunctionsModulesObject and ClassesCreate Your own Calculator
