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Results for "introduction to data science"
Google Cloud
Skills you'll gain: Kubernetes, Application Performance Management, YAML, Google Cloud Platform, Real Time Data, Data Analysis
- Status: Free Trial
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Data Processing, Dataflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, PyTorch (Machine Learning Library), Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)
- Status: Free Trial
Skills you'll gain: Statistical Process Controls, Lean Methodologies, Six Sigma Methodology, Risk Analysis, Quality Improvement, Process Improvement, Continuous Improvement Process, Process Capability, Business Process, Project Risk Management, Project Management, Root Cause Analysis, Product Design, Team Leadership
Coursera Project Network
Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning
Skills you'll gain: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Debugging, Data Collection, Software Installation
- Status: Free Trial
LearnQuest
Skills you'll gain: Time Series Analysis and Forecasting, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Matplotlib, Forecasting, Statistical Analysis, Predictive Modeling, Predictive Analytics, Supply Chain, Data Analysis, Pandas (Python Package), Machine Learning, Python Programming
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis
- Status: Preview
Johns Hopkins University
Skills you'll gain: Usability, User Centered Design, Usability Testing, Technical Documentation, Bioinformatics, End User Training and Support, Technical Writing, Product Development, Writing
- Status: Preview
University of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming
- Status: Free Trial
Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering, Data Analysis
- Status: Preview
University of Michigan
Skills you'll gain: Network Analysis, Graph Theory, Predictive Analytics, Telecommunications, Pandas (Python Package), Matplotlib, Algorithms, Probability & Statistics, Data Manipulation
- Status: NewStatus: Free Trial
University of Michigan
Skills you'll gain: Data Manipulation, Software Engineering, Data Analysis, Python Programming
Searches related to introduction to data science
In summary, here are 10 of our most popular introduction to data science courses
- Datadog: Getting started with the Helm Chart: Google Cloud
- Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
- Six Sigma for Process Improvement: SkillUp
- Hyperparameter Tuning with Keras Tuner: Coursera Project Network
- Computer Vision: YOLO Custom Object Detection with Colab GPU: Packt
- Demand Forecasting Using Time Series: LearnQuest
- ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera Project Network
- Documentation and Usability for Cancer Informatics: Johns Hopkins University
- Cómo manejar datos faltantes: University of Maryland, College Park
- Applied Machine Learning with Python: Edureka