Python Pandas courses can help you learn data manipulation, data analysis, and data visualization techniques. You can build skills in handling large datasets, performing statistical analysis, and cleaning data for better insights. Many courses introduce tools like Jupyter Notebooks and Matplotlib, that support applying your skills in real-world data projects. You'll also explore key topics such as time series analysis, merging datasets, and using functions to automate repetitive tasks, making your data workflows more efficient.

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 Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Restful API, API Design, Application Programming Interface (API), Virtual Environment, Python Programming, User Accounts, Application Security, Encryption, Data Modeling
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Version Control, GitHub, Jupyter, Git (Version Control System), Generative AI, Software Documentation, Automation
Beginner Ā· Course Ā· 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging
Intermediate Ā· Specialization Ā· 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 Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
Intermediate Ā· Specialization Ā· 3 - 6 Months

Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Recurrent Neural Networks (RNNs), Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Deep Learning, Restful API, Convolutional Neural Networks, Artificial Neural Networks
Mixed Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Prompt Engineering, OpenAI API, LangChain, ChatGPT, Prompt Patterns, Generative AI, LLM Application, Large Language Modeling, Application Programming Interface (API), Application Development
Intermediate Ā· Course Ā· 3 - 6 Months

Skills you'll gain: Alteryx, Predictive Modeling, People Analytics, Scripting, R Programming, Predictive Analytics, HR Tech, Data Science, Advanced Analytics, Scripting Languages, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Machine Learning
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

University of California, Irvine
Skills you'll gain: Linux, Operating System Administration, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Development Environment, Embedded Systems, Python Programming, OS Process Management, Computer Hardware, UI Components, Computer Programming
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Web Scraping, Extensible Markup Language (XML), Data Processing, Cascading Style Sheets (CSS), JSON, Data Capture, Application Programming Interface (API), MongoDB, Data Storage, Hypertext Markup Language (HTML)
Beginner Ā· Course Ā· 3 - 6 Months