Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "practical python implementation"
- Status: Free TrialStatus: AI skills
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Quality, Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives
- Status: NewStatus: Free Trial
Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging
- Status: New
Skills you'll gain: Interoperability, Data Transformation, Python Programming, Application Security
- Status: Free Trial
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining
- Status: Free Trial
Skills you'll gain: Jupyter, Computer Programming Tools, Data Visualization Software, Data Science, GitHub, R (Software), Big Data, R Programming, Statistical Programming, Machine Learning, Cloud Computing, Git (Version Control System), IBM Cloud, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology
- Status: New
Skills you'll gain: Python Programming
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming
- Status: Free TrialStatus: AI skills
Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Istio, Linux Commands, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Git (Version Control System), Flask (Web Framework), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development
- Status: NewStatus: Free Trial
Coursera Instructor Network
Skills you'll gain: LangChain, Prompt Engineering, Large Language Modeling, Generative AI Agents, LLM Application, Tool Calling, ChatGPT, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, Application Programming Interface (API), OpenAI, Google Gemini, Automation, Generative AI, Application Development, Development Environment, Prompt Engineering Tools, Python Programming
- Status: NewStatus: Free Trial
Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
- Status: Free Trial
University of Michigan
Skills you'll gain: Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Predictive Modeling, Matplotlib, Data Manipulation, Applied Machine Learning, Injury Prevention, Analytics, Data Analysis, Statistical Analysis, Python Programming
In summary, here are 10 of our most popular practical python implementation courses
- Meta Data Analyst: Meta
- Mathematics for Machine Learning: Imperial College London
- Generative AI for Developers: Unit 2: Pearson
- Data Representation and Serialization: Packt
- Machine Learning Foundations: A Case Study Approach: University of Washington
- Tools for Data Science: IBM
- Algorithmic Problem Solving: Packt
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- IBM DevOps and Software Engineering: IBM
- Building GenAI Applications and Agents: Coursera Instructor Network