NumPy courrses often teach array manipulation, mathematical functions, and data analysis techniques. You can build skills in performing complex calculations, handling large datasets, and optimizing performance for numerical operations. Many courses introduce tools like Jupyter Notebooks and Python libraries, showing how these skills are applied in data science, machine learning, and artificial intelligence projects.

Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, Application Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Model Evaluation, User Feedback, Machine Learning, Performance Analysis, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization, Matplotlib, Marketing Analytics, Web Scraping, Social Media Marketing, Python Programming, Social Media, Pandas (Python Package), Text Mining, Trend Analysis, Data Analysis, Data Wrangling, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Plotly, Matplotlib, Exploratory Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Scatter Plots, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Integrated Development Environments, Computer Networking, Server Side, Real Time Data, Data Analysis Expressions (DAX), Application Development
Mixed · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Plot (Graphics), Statistical Visualization, Data Visualization Software, Interactive Data Visualization, Data Presentation, Scatter Plots, Jupyter, Histogram, Box Plots, Graphing, Computer Programming, Development Environment, Animations
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting
Beginner · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging
Mixed · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming
Beginner · Specialization · 3 - 6 Months

Howard University
Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis
Beginner · Specialization · 3 - 6 Months