Data Science

Data Processing Using Python

(0 reviews)
Share icon
Coursera

This course offers a structured Python introduction for individuals who are not majoring in computer science. The course concentrates on data analysis and visualization, with practical, cross-disciplinary applications.

Key AI Functions:python programming,numpy,pandas,wxpython,data science

Description for Data Processing Using Python

Features of the Course:

  • Comprehensive Python Basics: Delves into the fundamentals of Python syntax, progressing from data acquisition to presentation. This course is appropriate for individuals who are not majoring in computer science.

  • Focus on Statistical Analysis and Visualization: Enables practical insights by incorporating both fundamental and advanced statistical techniques and data visualization methods.

  • Cross-Disciplinary Applications: Demonstrates the relevance of Python's data processing capabilities in a diverse array of disciplines, including the humanities, social sciences, science, and engineering.

  • Updated for Modern Compatibility: The course now incorporates Python 3.x, webpage retrieval, parsing, and Web API usage, as well as enhanced project details and improved content flow.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Nanjing University

Duration: 29 hours (approximately)

Schedule: Flexible

Reviews for Data Processing Using Python

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for Data Processing Using Python

icon
Freemium

NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.

#research #automation
icon
icon
Paid

Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.

#project management # library
icon

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science
icon

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming
icon

Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.

#Data Science #Data Analysis
icon

Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

#Prompt Engineering #Python Programming Language
icon

Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.

#Python Programming #Langchain
icon

Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.

#Software Development #Python Programming
icon

Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.

#Voice Assistants #Chatbots
icon

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning
icon