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

访问权限由 New York State Department of Labor 提供

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

要了解的详细信息

可分享的证书

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作业

20 项作业

授课语言：英语（English）

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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。

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获得对主题或工具的基础理解
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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.

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 Modules 4分钟
Concept of Anaconda Distribution 4分钟
Installation of PyCharm 10分钟
Executing Programs in PyCharm 5分钟
Methods of the List 11分钟
Learning the Bolt Structure 10分钟

3个作业总计50分钟

Graded - Python Development Environment Essentials 30分钟
Working with Packages and IDEs 10分钟
Advanced Python Fundamentals 10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 Server 7分钟
Message Communication of Client and Server 6分钟
Server IP from Client to Server 6分钟
Programming Aspect of Networking 7分钟
Writing the Client and Server Code 11分钟
Socket Programming for Server 5分钟
Python Package for Multithreading 8分钟

3个作业总计50分钟

Graded - Python for Networking and Communication 30分钟
Foundations of Client-Server Networking 10分钟
Implementing Socket Programming 10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 Bot 8分钟
Sending and Receiving Data 6分钟
Working on Chat Bot Server 3分钟
Creating and Importing Client Socket 10分钟
Creating Message for Client 8分钟
Learning to Create a Chat App 1分钟

3个作业总计50分钟

Graded - Building Chat Applications with Python 30分钟
Chatbot Programming Basics 10分钟
Client-Side Socket Development 10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 SQLite 8分钟
Commands for Creating a Table 9分钟
Inserting Values in Table 6分钟
Connecting between Database and Python code 9分钟
Query from Database 10分钟
Making changes in Chat App 8分钟
Decoding the Client info 5分钟
Indexing the Client Element 11分钟
Connection from Client at Address 9分钟
Adding Email and Client Name 11分钟

4个作业总计60分钟

Graded - Database Integration with Python 30分钟
Using Databases in PyCharm 10分钟
Querying and Modifying Data 10分钟
Managing Client Data in Applications 10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 Sets 9分钟
Coding for Converting Temperatures 5分钟
Converting Temperature using List comprehension 10分钟
Introduction to NumPy 8分钟
Size of List 7分钟
Memory Consumed By ND array 7分钟
Python List and NumPy Arrays 6分钟

3个作业总计50分钟

Graded - Data Handling and Analysis in Python 30分钟
Practical Data Analysis with Python 10分钟
Introduction to NumPy for Data Analysis 10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.