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: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Feature Engineering, Data Pipelines, Deep Learning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Edureka
Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Python Programming, Data Manipulation, Pandas (Python Package), Decision Tree Learning, NumPy
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Model Evaluation, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Pandas (Python Package), NumPy
Mixed · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Predictive Modeling, Statistical Analysis, Statistical Modeling, Data Analysis, Integral Calculus, Calculus, Statistics, Mathematical Modeling, Probability & Statistics, Mathematics and Mathematical Modeling, Applied Mathematics, Probability Distribution, Data Science, Derivatives, Mathematical Theory & Analysis, NumPy, Jupyter, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Programming Principles, Development Environment, Scripting, Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides
Beginner · Course · 3 - 6 Months

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Preprocessing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Machine Learning, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Pandas (Python Package), Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Dimensionality Reduction, Statistical Methods, Data Transformation, Feature Engineering, Unsupervised Learning, Performance Tuning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software
Intermediate · Course · 1 - 3 Months