数据处理课程可以帮助您学习数据清洗、转换技术和探索性数据分析。您可以掌握使用函数进行数据聚合、过滤数据集和有效实现信息 Visualization 的技能。许多课程都会介绍 Python、R 和 SQL 等工具,这些工具支持处理大型数据集和执行复杂的分析。您还将探索 Pandas 和 NumPy 等库,它们可简化数据处理任务,提高您从原始数据中获得洞察力的能力。

您将获得的技能: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning
中级 · 指导项目 · 不超过 2 小时

高级设置 · 课程 · 1-4 周

Coursera
您将获得的技能: 数据伦理, 项目实施, 商业分析, 数据验证, 探索性数据分析, 数据驱动决策, 负责任的人工智能, 数据故事, 商业智能, 业务流程自动化, Data Validation, 生成式人工智能
中级 · 课程 · 1-4 周

Coursera
您将获得的技能: 数据预处理, 嵌入, 降维, 数据可视化, 人工智能个性化, OpenAI, 探索性数据分析, 数据操作, 数据分析, 生成式人工智能, Python 编程, OpenAI 应用程序接口
中级 · 指导项目 · 不超过 2 小时

University of Michigan
您将获得的技能: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming
中级 · 课程 · 1-4 周

您将获得的技能: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming
初级 · 课程 · 3-6 个月

您将获得的技能: Supervised Learning, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Predictive Modeling, Flask (Web Framework), Python Programming, Deep Learning, PyTorch (Machine Learning Library), Programming Principles, Web Applications
初级 · 专项课程 · 3-6 个月

O.P. Jindal Global University
您将获得的技能: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis
攻读学位
初级 · 课程 · 1-3 个月

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming
中级 · 课程 · 1-4 周

您将获得的技能: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming
初级 · 课程 · 1-4 周

您将获得的技能: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Data Cleansing, Risk Modeling, Machine Learning
中级 · 指导项目 · 不超过 2 小时

您将获得的技能: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software
中级 · 课程 · 1-3 个月