Cours en Data Science

Skills you'll gain: Regression Analysis, Logistic Regression, Correlation Analysis, Statistical Inference, Model Evaluation, Statistical Methods, Statistics, Data Analysis, Statistical Modeling, Statistical Analysis, Mathematical Modeling, Probability & Statistics, Predictive Modeling, Probability

Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Cleansing, Data Visualization, Data Analysis Software, Productivity Software, Data Security, Data Management, Editing, Workflow Management

Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Data Analysis, Bayesian Statistics, Artificial Intelligence, Probability, Regression Analysis, Calculus, Mathematical Software, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Model Optimization, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction

Skills you'll gain: Generative AI Agents, Java, Java Programming, Agentic systems, Agentic Workflows, AI Workflows, Generative AI, LLM Application, Tool Calling, OpenAI API, Application Development, Prompt Engineering, Large Language Modeling, Memory Management

Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Model Evaluation, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Database Management, Advanced Analytics, Data Science, Machine Learning

Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Model Optimization, Statistical Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Data Preprocessing, Model Training, Deep Learning, Artificial Neural Networks, Tensorflow, Feature Engineering, Predictive Modeling, Data Cleansing, Machine Learning, Real Estate, Python Programming

Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Statistical Reporting, Experimentation, Science and Research, Research Design, Analytical Skills, General Science and Research, Research, Peer Review, Probability & Statistics, Journalism, Statistical Inference, Statistical Methods, Media and Communications, Research Methodologies

Skills you'll gain: Model Context Protocol, Token Optimization, AI Workflows, Generative AI Agents, Agentic Workflows, AI Orchestration, Agentic systems, Tool Calling, Context Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Security, AI Enablement, Prompt Patterns, Prompt Engineering, ChatGPT, AI Personalization, AI Product Strategy, Anthropic Claude, Multimodal Prompts, Generative AI

Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, Generative AI, Fine-tuning, Performance Measurement, Performance Improvement, Business Analysis, Application Deployment, Model Evaluation

Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing