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Results for "data science"
Coursera Project Network
Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra
- Status: Free Trial
University of Colorado Boulder
Skills you'll gain: Predictive Modeling, Predictive Analytics, Exploratory Data Analysis, Data Visualization, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Microsoft Excel, Machine Learning Methods, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, OpenAI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, AI Personalization, Deep Learning, Feature Engineering, Open Source Technology, Data Processing, Application Deployment, Natural Language Processing, Machine Learning, Data Cleansing, Data Visualization, Database Systems
- Status: NewStatus: Preview
Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Statistical Machine Learning, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Data Transformation
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms
- Status: NewStatus: Preview
Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Quality, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Responsible AI, User Experience Design, Application Design, Generative AI, Business Analytics, Compliance Auditing, Regulation and Legal Compliance, Application Deployment, Data Validation, Dashboard, Automation
- Status: NewStatus: Preview
Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Risk Modeling, Classification And Regression Tree (CART), Decision Tree Learning, Credit Risk, Predictive Analytics, Random Forest Algorithm, Data Processing, Feature Engineering, Financial Modeling, Data Manipulation, Data Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Supervised Learning, Performance Metric, Performance Tuning
- Status: NewStatus: Free Trial
Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
- Status: NewStatus: Free Trial
Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Statistical Visualization, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment
- Status: NewStatus: Preview
Skills you'll gain: People Analytics, Data Validation, Data Processing, Workforce Management, Advanced Analytics
- Status: Free Trial
Skills you'll gain: Power BI, Microsoft Copilot, Data Visualization Software, Data Modeling, Data Presentation, Interactive Data Visualization, Data Analysis, Microsoft Power Platform, Microsoft Azure, Data Manipulation, Data Transformation, Data Cleansing, Data Import/Export, Test Planning, Performance Tuning
- Status: New
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring
In summary, here are 10 of our most popular data science courses
- Principal Component Analysis with NumPy: Coursera Project Network
- Predictive Modeling and Analytics : University of Colorado Boulder
- Getting Started with Generative AI: Edureka
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- Foundations of No-Code AI for Real-World Applications: LearnQuest
- Credit Default Prediction with Python: Apply & Analyze: EDUCBA
- PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
- AI Foundations with Python: Build & Visualize: EDUCBA
- R: Design & Evaluate Random Forests for Attrition: EDUCBA