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.

Fundação Instituto de Administração
Skills you'll gain: Conversion Funnel Analysis, Sales Strategy, Data-Driven Marketing, Marketing Strategies, Data Visualization Software, Customer Engagement, Consumer Behaviour, Regression Analysis, Target Market, Decision Tree Learning, Decision Making, Journey Mapping, Logistic Regression, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Systems Architecture, AI Workflows, Process Modeling, Model Based Systems Engineering, System Design and Implementation, Systems Analysis, Enterprise Modeling, Model Training, Diagram Design, Dataflow, MLOps (Machine Learning Operations), Requirements Management
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Responsible AI, AI Security, Generative AI, Data Ethics, Threat Modeling, General Data Protection Regulation (GDPR), Security Testing, Model Evaluation, Open Source Technology, Metadata Management, Security Controls, Data Integrity, Data Validation
Intermediate · Course · 1 - 4 Weeks

Pragmatic AI Labs
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Hugging Face, Model Optimization, Rust (Programming Language), Continuous Deployment, LLM Application, Frontend Performance, AI Security, Model Evaluation, Performance Tuning, Applied Machine Learning, Other Programming Languages, Large Language Modeling, Performance Testing, Cryptographic Protocols
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Multimodal Prompts, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, Risking, AI Orchestration, Fine-tuning, Python Programming, Vector Databases, Machine Learning, Agentic systems, Data Science
Beginner · Course · 3 - 6 Months

Skills you'll gain: Web Applications, Program Development, Virtual Environment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Model Training, Data Transformation, NumPy, Color Theory
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, AI Product Strategy, Generative AI Agents, LangGraph, BeeAI, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Data Preprocessing, Supervised Learning, ChatGPT, Agentic Workflows, Applied Machine Learning, Product Management, Artificial Intelligence, Python Programming, Model Evaluation, Agentic systems, Model Deployment, Regression Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Marketing Analytics, Data-Driven Marketing, A/B Testing, Customer Analysis, Anomaly Detection, Dashboard, Dashboard Creation, Time Series Analysis and Forecasting, Regression Analysis, Customer Insights, Extract, Transform, Load, Descriptive Analytics, Data Presentation, Statistical Methods, Marketing Effectiveness, Marketing Strategies, Forecasting, Statistical Modeling, Statistical Analysis, Data Analysis
Intermediate · Course · 3 - 6 Months
Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Performance Testing, Benchmarking, Graph Theory, Program Implementation
Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months