Python for Statistics courses can help you learn data analysis, hypothesis testing, regression analysis, and probability distributions. You can build skills in data visualization, statistical modeling, and interpreting results to make informed decisions. Many courses introduce tools like Pandas for data manipulation, NumPy for numerical calculations, and Matplotlib for creating visual representations of data, all of that support applying statistical techniques effectively.

Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Statistics, SQL
Beginner · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: OpenAI API, Back-End Web Development, Model Evaluation, Model Deployment, User Interface (UI) Design, Performance Tuning, Scalability
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data Manipulation, Anomaly Detection, Exploratory Data Analysis
Intermediate · 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

DeepLearning.AI
Skills you'll gain: Web Scraping, Extract, Transform, Load, Data Manipulation, Data Preprocessing, Data Validation, Data Ethics, Data Cleansing, SQL, Data Transformation, JSON, Query Languages, Data Pipelines, Pandas (Python Package), Data Collection, Generative AI, Relational Databases, Data Integrity, Unstructured Data, Application Programming Interface (API), Authentications
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Development Environment, Deep Learning, Software Installation, Algorithms
Beginner · Course · 3 - 6 Months

Skills you'll gain: Google Cloud Platform, Unstructured Data, Data Processing, Cloud API, Jupyter, Real Time Data, Python Programming
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours