Python 数据科学课程可以帮助您学习数据操作、统计分析、机器学习和数据 Visualization。您可以培养使用 Python 编程、使用 Pandas 和 NumPy 等库以及应用算法解决实际问题的技能。许多课程都会介绍一些工具,如用于交互式编码的 Jupyter Notebook、用于创建可视化的 Matplotlib 和用于实现机器学习模型的 Scikit-learn 等,所有这些工具都能提高您分析和解释复杂数据集的能力。

您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms
混合 · 课程 · 1-4 周

University of Colorado Boulder
您将获得的技能: Matplotlib, Plotly, Seaborn, Data Visualization Software, Data Visualization, Statistical Visualization, Interactive Data Visualization, Scatter Plots, Box Plots, Heat Maps, Histogram
中级 · 课程 · 1-3 个月

您将获得的技能: Data Visualization, Web Scraping, SQL, Data Visualization Software, Pandas (Python Package), NumPy, Data Analysis, Databases, Data Manipulation, Python Programming, Data Processing, Jupyter, Data Wrangling, Data Cleansing, Data Structures
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development
初级 · 课程 · 1-4 周

您将获得的技能: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
中级 · 课程 · 1-3 个月

您将获得的技能: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
中级 · 指导项目 · 不超过 2 小时

University of London
您将获得的技能: 描述性统计, 无监督学习, 数据分析, Python 程序设计, 数据操作, Matplotlib, 统计, 概率与统计, 机器学习, 机器学习算法, 数据科学, Pandas(Python 软件包), NumPy, 数据可视化
初级 · 课程 · 1-3 个月

Duke University
您将获得的技能: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming
高级设置 · 课程 · 1-4 周

您将获得的技能: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation
中级 · 指导项目 · 不超过 2 小时

University of London
您将获得的技能: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing
初级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking
中级 · 课程 · 1-4 周

University of Michigan
您将获得的技能: 统计分析, 贝叶斯统计, Python 程序设计, Matplotlib, 统计方法, 概率与统计, 抽样(统计), 统计推理, NumPy, 统计假设检验, Jupyter
中级 · 课程 · 1-4 周