Home AI Courses Statistics with Python Specialization

Statistics with Python Specialization

(0 reviews)

Modern and Practical Statistical Thinking for All. Utilize Python for statistical visualization, inference, and modeling.

Key AI Functions:Python Programming,Statistical inference methods,Data Visualization,Statistical Model

Description

Reviews

Alternative Tools

Description for Statistics with Python Specialization

Utilize the Python programming language and its corresponding packages and libraries to generate and analyze data visualizations.

Apply and interpret inferential procedures when analyzing actual data.

Utilize statistical modeling techniques to analyze data, including linear and logistic regression, linear models, multilevel models, and Bayesian inference techniques.

Comprehend the significance of linking research queries to data analysis methods.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by University of Michigan

Duration: 1 month at 10 hours a week

Schedule: Flexible

Reviews for Statistics with Python Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Gen AI Assisting Data Analysts

Data Science and ML Capstone Project

Gen AI in Marketing Specialization

Beginners Guide to ChatGPT: AI for Market Research

Alternative Tools for Statistics with Python Specialization

AI-Signals, driven by AI algorithms, offers precise trading insights including institutional concepts, automated analysis, and access to a VIP Discord community, while potential intermittent errors and subscription requirements may be considerations.

#finance #market analysis

GenAI An Introductory Course

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

#Artificial Intelligence (AI) #Python Programming

Gen AI in Code Generation for Python

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

Functions, Tools and Agents with LangChain

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

#Python Programming #Langchain

Software Development: Python Code Generation

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

Building Gen AI-Powered Applications with Python

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

Retrieval Augmented Generation (RAG) - Intro

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

Automated Reasoning with GPT Assistant API: ReAct Agents

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

Operationalizing LLMs on Azure

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

Python: Data Science, AI & Development

Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.

#Data Science #Data Analysis