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.
Advanced Python for Data Analysis: Build & Optimize
Advanced Python for Data Analysis: Build & Optimize
This course is part of Python for Data Science: Real Projects & Analytics Specialization
Instructor: EDUCBA
Access provided by Hokkaido University
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Implement client-server apps, chatbots, and database integration.
Optimize data analysis with NumPy arrays, matrices, and vectors.
Build scalable Python solutions using advanced techniques.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
20 assignments
Taught in English
Recently updated!
October 2025
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This course is part of the Python for Data Science: Real Projects & Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 6 modules in this course
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.
What's included
6 videos3 assignments1 plugin
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.
What's included
7 videos3 assignments
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.
What's included
6 videos3 assignments
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.
What's included
10 videos4 assignments
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.
What's included
7 videos3 assignments
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.
What's included
11 videos4 assignments
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