探索性数据分析课程
探索性数据分析课程可以帮助您学习数据可视化技术、统计摘要和数据清洗方法。您可以掌握识别模式、检测异常和解释结果的技能，为决策提供依据。许多课程都会介绍 Python、R 和 Tableau 等工具，这些工具有助于分析和展示数据见解，让您能够有效地交流研究结果并支持数据驱动战略。
热门探索性数据分析课程与认证
状态：免费试用Queen Mary University of London
您将获得的技能: 回归分析, 定量研究, 统计分析, 探索性数据分析, 营销分析, 数字化营销, 市场调查, 投资回报, 数据质量, 数据清理, 分析, 相关性分析, 数据分析, 统计方法
状态：免费试用Edureka
您将获得的技能: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
状态：免费试用Tableau Learning Partner
您将获得的技能: 回归分析, 数据操作, 数据处理, 统计分析, 探索性数据分析, 数据可视化软件, 箱形图, 分析, 散点图, 商业分析, 描述性统计, 数据清理, 数据分析, 数据可视化, 趋势分析, 预测分析, 统计方法, 柱状图, Tableau 软件
状态：免费试用University of Pennsylvania
您将获得的技能: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Verbal Communication Skills, Matplotlib, Data Storage, Data Science, Machine Learning
状态：免费试用您将获得的技能: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data-Driven Decision-Making, Data Presentation, SAS (Software), Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Analysis, Scatter Plots, Analytics, Data Visualization, Interactive Data Visualization, Technical Communication, Data Ethics, Data Visualization Software, Research, Data Cleansing
状态：免费试用您将获得的技能: Prompt Engineering, Generative AI, Data Ethics, Data Cleansing, AI Product Strategy, Data Analysis, Responsible AI, Data Processing, Power BI, Exploratory Data Analysis, Anomaly Detection
状态：新状态：预览您将获得的技能: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
状态：免费试用University of Colorado Boulder
您将获得的技能: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis
状态：免费试用University of Minnesota
您将获得的技能: Exploratory Data Analysis, Project Design, Data Mining, Ideation, Design Thinking, Data Analysis, Analytics, Business Analytics, Business Analysis, Sprint Planning, Unsupervised Learning, Case Studies, Anomaly Detection, Tree Maps
状态：新状态：免费试用您将获得的技能: Business Analytics
状态：免费试用您将获得的技能: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming
- 状态：新状态：预览
您将获得的技能: A/B Testing, Statistical Hypothesis Testing, Statistical Methods, Advanced Analytics, Statistical Analysis, Correlation Analysis, Business Reporting, Data Analysis, Report Writing, Probability & Statistics, Analytical Skills, Quantitative Research, Data-Driven Decision-Making, Health Informatics, Business Process Automation
与 exploratory data analysis 相关的搜索
总之，以下是 10 最受欢迎的 exploratory data analysis 课程
- 数据分析与解释: Queen Mary University of London
- Applied Data Analytics: Edureka
- 使用 Tableau 进行数据分析: Tableau Learning Partner
- How to Use Data: University of Pennsylvania
- Data Literacy: Exploring and Visualizing Data: SAS
- Introduction to Generative AI for Data Analysis: Microsoft
- Explore and Visualize Data the Python Way: Coursera
- Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
- Exploratory Analytics Project Ideation: University of Minnesota
- Introducing Data Analytics and Analytical Thinking: Google
