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Advanced Python for Data Analysis: Build & Optimize

本课程是 Python for Data Science: Real Projects & Analytics 专项课程的一部分

位教师：EDUCBA

包含在中

了解更多

6个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Implement client-server apps, chatbots, and database integration.
Optimize data analysis with NumPy arrays, matrices, and vectors.
Build scalable Python solutions using advanced techniques.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

20 项作业

授课语言：英语（English）

91% of learners achieved a positive career outcome

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Python for Data Science: Real Projects & Analytics 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有6个模块

By the end of this course, learners will be able to apply advanced Python techniques, implement client-server networking, develop chatbot applications, integrate databases, and optimize data analysis with NumPy. Through hands-on lessons, you will analyze datasets, design efficient programs, construct socket-based applications, and execute SQL queries in Python.

This course is designed to bridge the gap between intermediate Python knowledge and professional data analysis applications. You will gain practical experience with PyCharm, explore real-time communication through networking, and master database integration for managing client data. The course also emphasizes high-performance computing with NumPy, from array creation to matrix operations and vectorized computations. What makes this course unique is its blended approach to Python, combining development environments, networking, chatbot building, database integration, and advanced data analysis into one complete package. By completing this course, learners will develop the technical skills and confidence to design scalable, real-world Python solutions for data-driven projects.

单元详情

This module introduces learners to Python’s development environment, focusing on packages, modules, and the Anaconda distribution. Learners will also explore PyCharm IDE, mastering its installation, configuration, and usage for executing Python programs efficiently.

涵盖的内容

6个视频3个作业

6个视频总计44分钟

Introduction to Packages and Modules4分钟
Concept of Anaconda Distribution4分钟
Installation of PyCharm10分钟
Executing Programs in PyCharm5分钟
Methods of the List11分钟
Learning the Bolt Structure10分钟

3个作业总计50分钟

Working with Packages and IDEs10分钟
Advanced Python Fundamentals10分钟
Graded - Python Development Environment Essentials30分钟

This module covers the fundamentals of client-server architecture, focusing on message communication protocols and server addressing. Learners will also implement socket programming in Python to build reliable network applications.

涵盖的内容

7个视频3个作业

7个视频总计51分钟

Networking Aspect of Client Server7分钟
Message Communication of Client and Server6分钟
Server IP from Client to Server6分钟
Programming Aspect of Networking7分钟
Writing the Client and Server Code11分钟
Socket Programming for Server5分钟
Python Package for Multithreading8分钟

3个作业总计50分钟

Foundations of Client-Server Networking10分钟
Implementing Socket Programming10分钟
Graded - Python for Networking and Communication30分钟

This module introduces chatbot development and the basics of real-time communication. Learners will build client-side socket components and integrate them with chatbot servers to create functional chat applications.

涵盖的内容

6个视频3个作业

6个视频总计36分钟

Working with Chat Bot8分钟
Sending and Receiving Data6分钟
Working on Chat Bot Server3分钟
Creating and Importing Client Socket10分钟
Creating Message for Client8分钟
Learning to Create a Chat App1分钟

3个作业总计50分钟

Chatbot Programming Basics10分钟
Client-Side Socket Development10分钟
Graded - Building Chat Applications with Python30分钟

This module focuses on integrating databases into Python applications. Learners will create and modify tables, execute queries, and update chat applications to manage client data effectively using SQLite.

涵盖的内容

10个视频4个作业

10个视频总计86分钟

PyCharm Databases and SQLite8分钟
Commands for Creating a Table9分钟
Inserting Values in Table6分钟
Connecting between Database and Python code9分钟
Query from Database10分钟
Making changes in Chat App8分钟
Decoding the Client info5分钟
Indexing the Client Element11分钟
Connection from Client at Address9分钟
Adding Email and Client Name11分钟

4个作业总计60分钟

Using Databases in PyCharm10分钟
Querying and Modifying Data10分钟
Managing Client Data in Applications10分钟
Graded - Database Integration with Python30分钟

This module emphasizes practical data analysis techniques in Python, including dataset handling, temperature conversions, and the use of comprehensions. Learners will also explore NumPy fundamentals for efficient numerical computations.

涵盖的内容

7个视频3个作业

7个视频总计52分钟

Analyzing the Data Sets9分钟
Coding for Converting Temperatures5分钟
Converting Temperature using List comprehension 10分钟
Introduction to NumPy8分钟
Size of List7分钟
Memory Consumed By ND array7分钟
Python List and NumPy Arrays6分钟

3个作业总计50分钟

Practical Data Analysis with Python10分钟
Introduction to NumPy for Data Analysis10分钟
Graded - Data Handling and Analysis in Python30分钟

This module provides advanced knowledge of NumPy, including multidimensional arrays, slicing, reshaping, and mathematical operations. Learners will implement matrix manipulations and comparison operations for effective data analysis.