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: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks

EDUCBA
Skills you'll gain: Software Installation, Application Development, Command-Line Interface
Beginner · Course · 1 - 4 Weeks
Starweaver
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI Agents, Enterprise Application Management, ChatGPT, AI Workflows, Generative AI, Development Environment, LLM Application, Large Language Modeling, Systems Architecture, Model Evaluation, Program Evaluation, Process Optimization, Performance Tuning, Scalability, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Application Development, AI Enablement, Image Analysis, Google Cloud Platform
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Transfer Learning, Tensorflow, Artificial Neural Networks, Embeddings, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Classification Algorithms, Convolutional Neural Networks, Natural Language Processing, Computer Vision, Forecasting, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Analytics, Model Evaluation, Predictive Modeling
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Computer Vision, Applied Machine Learning, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: GitLab, AI Workflows, Code Review, Integrated Development Environments, Computer Programming Tools, Development Environment, Debugging
Intermediate · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Model Evaluation, Regression Analysis, Supervised Learning, Machine Learning, Predictive Modeling, Applied Machine Learning, Feature Engineering, Data Preprocessing, Statistical Methods, Python Programming, Linear Algebra, Algorithms
Mixed · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Hugging Face, AI Workflows, Context Management, Generative AI Agents, Vector Databases, Prompt Engineering, Semantic Web
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Anthropic Claude, Prompt Engineering, Multimodal Prompts, Tool Calling, LLM Application, Responsible AI, Agentic Workflows, Human Computer Interaction, Artificial Intelligence, AI Workflows
Beginner · Project · Less Than 2 Hours