供应链分析课程
供应链解析课程可以帮助您学习如何利用数据预测需求、改进库存计划和评估供应商绩效。您可以掌握统计建模、Dashboard 创建和解读供应链各阶段运营指标的技能。许多课程都会介绍电子表格、解析平台和可视化软件等工具，以支持分析模式并为供应链决策提供信息。
热门供应链解析课程与认证
状态：新状态：预览您将获得的技能: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis, Seaborn, Pandas (Python Package), Matplotlib
状态：新状态：预览您将获得的技能: Classification And Regression Tree (CART), Model Evaluation, Predictive Analytics, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Data-Driven Decision-Making, Marketing Analytics, Feature Engineering, Classification Algorithms, Financial Forecasting, Performance Tuning
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
Google Cloud
您将获得的技能: Dataflow, Google Cloud Platform, NoSQL, Cloud Storage, Data Pipelines, Data Integration, Data Storage Technologies, Data Processing, Big Data, Data Validation
状态：新状态：预览您将获得的技能: SQL Server Integration Services (SSIS), Extract, Transform, Load, Data Warehousing, Data Transformation, Data Manipulation, Data Analysis, Microsoft SQL Servers, Data Integration, Data Mining, Data Processing, SQL, Dataflow, Workflow Management
状态：新状态：预览您将获得的技能: Logistic Regression, Model Evaluation, Data Preprocessing, Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Data Manipulation, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
状态：免费试用您将获得的技能: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms
状态：新状态：免费试用您将获得的技能: Kibana, Dashboard, Interactive Data Visualization, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Wrangling, Data Import/Export
状态：新您将获得的技能: Data Security
状态：新状态：预览Northeastern University
您将获得的技能: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
状态：免费试用Arizona State University
您将获得的技能: Exploratory Data Analysis, Decision Making, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Data Management, Solution Design, Data Analysis, Needs Assessment, Requirements Analysis
状态：新状态：预览Simplilearn
您将获得的技能: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning
总之，以下是 10 最受欢迎的 supply chain analytics 课程
- Python: Master House Price Prediction with Linear Regression: EDUCBA
- Predictive Analytics Model for Term Deposit Investment: EDUCBA
- Data Science Foundations with No-Code Tools: LearnQuest
- Streaming Data to Bigtable: Google Cloud
- SSIS: Design, Implement & Automate ETL Workflows: EDUCBA
- Logistic Regression with R: Build & Predict: EDUCBA
- NLP – Machine Learning Models in Python: Packt
- Analyze Web Logs with Kibana & Elasticsearch: EDUCBA
- Boltnew AI - From Code to App: Packt
- Statistical Learning for Engineering Part 1: Northeastern University
