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: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Matplotlib, Data Visualization Software, Data Structures, Data Manipulation, Pandas (Python Package), NumPy, Exploratory Data Analysis, Python Programming, Data Preprocessing, Scripting, Scripting Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Embeddings, Text Mining, Data Processing, Multilingualism, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Scikit Learn (Machine Learning Library), Computer Programming, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Model Evaluation, A/B Testing, Matplotlib, Box Plots, Sampling (Statistics), Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
Beginner · Specialization · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis
Mixed · 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: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis
Mixed · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Data Preprocessing, Data Visualization, Model Evaluation, Machine Learning Methods, Feature Engineering, Game Design, Data Science, Animation and Game Design
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Scatter Plots, Jupyter, Programming Principles, Histogram
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months