数据科学统计学课程可以帮助您学习数据 Visualization、假设检验、Regression Analysis 和概率论。您可以掌握解释数据趋势、进行预测和 A/B Testing 的技能。许多课程会介绍 R、Python 和 SQL 等工具,这些工具支持分析数据集和实施统计模型。通过使用这些工具,您可以有效地将统计方法应用到现实世界的数据挑战中,从而提高您得出有意义见解的能力。

University of California San Diego
您将获得的技能: 组合学, 算法, 计算逻辑, 加密技术, 公钥加密标准(PKCS), Algorithm, 贝叶斯统计, 图论, 演绎推理, 网络安全, 网络分析, 可视化(计算机制图), Python 编程, 理论计算机科学, 概率分布, 数据结构, 算术, 逻辑推理, 加密, 概率, 计算思维, Encryption
初级 · 专项课程 · 3-6 个月

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Security, Business Analytics, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Business Strategy, Augmented and Virtual Reality (AR/VR), Machine Learning, Context Management
初级 · 专项课程 · 1-3 个月

您将获得的技能: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Analytical Skills, Scripting, Algorithms, Debugging
初级 · 课程 · 1-4 周

您将获得的技能: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Mart, Database Management, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing
高级设置 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Personalization, Responsible AI, Data Ethics, Education Software and Technology, Digital pedagogy, Learning Management Systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Ethical Standards And Conduct, Information Privacy, Machine Learning, Emerging Technologies, Context Management
初级 · 专项课程 · 1-3 个月

Coursera
您将获得的技能: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Statistics, Data Wrangling, Data Cleansing, Data Preprocessing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning
初级 · 课程 · 1-4 周

您将获得的技能: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Marketing Collateral
中级 · 专项课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 自然语言处理, 深度学习, 图像分析, 张力流, 数据预处理, 嵌入, 递归神经网络 (RNN), Keras(神经网络库), Transfer Learning, 迁移学习, 计算机视觉, 性能调整, 卷积神经网络, 机器学习, 拥抱的脸, 人工神经网络, 监督学习, PyTorch(机器学习库), 应用机器学习, 调试, MLOps(机器学习运营)
攻读学位
中级 · 专项课程 · 3-6 个月

您将获得的技能: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming
初级 · 专项课程 · 3-6 个月
Duke University
您将获得的技能: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
初级 · 专项课程 · 1-3 个月

IBM
初级 · 课程 · 1-4 周

DeepLearning.AI
您将获得的技能: 统计分析, 放射诊断学, 数据分析, 深度学习, 图像分析, 风险建模, Model Evaluation, 数据预处理, 功能工程, 病人治疗, 人工智能个性化, 决策树学习, 治疗计划, 临床试验, 模型评估, 卷积神经网络, 随机森林算法, 机器学习, 应用机器学习, 预测, 预测建模
中级 · 专项课程 · 1-3 个月