IBM-Data-Science-Professional-Certificate:该存储库包含针对IBM数据科学专业认证的所有

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  • 2022-05-21 07:22
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IBM:数据科学专业认证 该存储库包含本课程的所有作业和其他资源。 目前,我正在寻求该认证,并将在后续工作中更新资源。 该专业招募的课程如下: 什么是数据科学? 数据科学的开源工具 数据科学方法论 适用于数据科学和AI的Python Python数据科学Python项目 数据库和数据科学SQL 使用Python进行数据分析 使用Python进行数据可视化 使用Python进行机器学习 应用数据科学的顶峰
IBM-Data-Science-Professional-Certificate-main.zip
  • IBM-Data-Science-Professional-Certificate-main
  • Machine Learning with Python
  • README.md
    18B
  • Python for Data Science, AI & Development
  • README.md
    452B
  • Data Visualization with Python
  • README.md
    18B
  • Databases and SQL for Data Science with Python
  • README.md
    1.6KB
  • Data Science Methodology
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  • Applied Data Science Capstone
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    18B
  • Data Analysis with Python
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    19B
  • What is Data Science?
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    1.4KB
  • Certificate.md
    65B
  • Tools for Data Science
  • README.md
    726B
  • Python Project for Data Science
  • README.md
    367B
  • README.md
    698B
内容介绍
# Course Syllabus ### Baic SQL * Introduction to Databases * SELECT Statement * COUNT, DISTINCT, LIMIT * INSERT Statement * UPDATE and DELETE Statements * Graded Quiz: Basic SQL ### Introduction to Relational Databases and Tables * Relational Database Concepts * How to create a Database instance on Cloud * Types of SQL statements (DDL vs. DML) * CREATE TABLE Statement * ALTER, DROP, and Truncate tables * CREATE, ALTER, TRUNCATE, DROP * Graded Quiz: Relational DB Concepts and Tables ### Refining your Results * Using String Patterns and Ranges * Sorting Result Sets * Grouping Result Sets * String Patterns, Sorting and Grouping * Graded Quiz: Refining Your Results ### Functions, Multiple Tables, and Sub-queries * Built-in Database Functions * Date and Time Built-in Functions * Built-in functions - Aggregate, Scalar, String, Date and Time Functions * Sub-Queries and Nested Selects * Working with Multiple Tables * Graded Quiz: Functions, Sub-Queries, Multiple Tables ### Accessing databases using Python * How to Access Databases Using Python * Writing code using DB-API * Connecting to a database using ibm_db API * Create Database Credentials * Creating tables, loading data and querying data * Introducing SQL Magic * Accessing Databases with SQL magic * Analyzing data with Python * Analyzing a real World Data Set * Graded Quiz: Database access from Python ### Assignment Preparation: Working with real-world data sets and built-in SQL functions * Working with Real World Datasets * Getting Table and Column Details * Loading Data * Querying Real World Datasets ### Assignment
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