Results for "workflow of data science projects"
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
Johns Hopkins University
Skills you'll gain: Data Quality, Exploratory Data Analysis, Data Presentation, Employee Onboarding, Data Management, Statistical Reporting, Team Motivation, Technical Communication, Data Analysis, Project Management, Interviewing Skills, Data Science, New Hire Orientations, Data-Driven Decision-Making, Data Strategy, Data Collection, Organizational Leadership, Data Literacy, Leadership, Communication
Skills you'll gain: Stakeholder Communications, Dashboard, Dashboard Creation, Data Import/Export, Management Reporting, Model Evaluation, AI literacy, Stakeholder Engagement, Prompt Engineering, Data-Driven Decision-Making, Timelines, Report Writing, Responsible AI, Business Reporting, Extract, Transform, Load, Project Documentation, Data Transformation, Data Presentation, AI Enablement, Risk Management
LearnKartS
Skills you'll gain: Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization, Seaborn, Data Manipulation, Data Visualization Software, Pseudocode, Problem Solving, Data Analysis, Programming Principles, Data Processing, AI literacy, Dashboard, Python Programming, Data Science, Computer Programming, Generative AI
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
Skills you'll gain: Dashboard Creation, Web Scraping, Data Analysis, Data Presentation, Analytical Skills, Data Visualization Software, Graphing, Pandas (Python Package), Data Science, Data Wrangling, Jupyter, Python Programming, Data Collection
What brings you to Coursera today?
Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming
Coursera
Skills you'll gain: Data Flow Diagrams (DFDs), Diagram Design, Data Mapping, Data Pipelines, Data Visualization, Dataflow, Technical Communication, Data Store, Data Transformation
Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Business Solutions, Technical Communication, Process Design, Project Management, Communication, Stakeholder Communications, Machine Learning
Johns Hopkins University
Skills you'll gain: Data Science, Data Strategy, Data Literacy, Data Analysis, Data-Driven Decision-Making, Project Design, Software Engineering, Machine Learning, Statistical Inference
Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Cloud Computing, Git (Version Control System), Application Programming Interface (API), Other Programming Languages, Development Environment, Query Languages, Python Programming, Machine Learning, Open Source Technology
Skills you'll gain: Apache Airflow, CI/CD, Data Pipelines, Continuous Deployment, Workflow Management, Site Reliability Engineering, Data Engineering, Model Deployment, Data Quality, Version Control, PostgreSQL, Git (Version Control System), Python Programming, Debugging, SQL, Production Management, Scheduling, Unit Testing, Linux Commands, Web Servers
In summary, here are 10 of our most popular workflow of data science projects courses
- Data Science: Johns Hopkins University
- Executive Data Science: Johns Hopkins University
- AI for Project Reporting, Dashboards and Risk: Coursera
- Python for Data Science with AI: LearnKartS
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Python Project for Data Science: IBM
- IBM AI Enterprise Workflow: IBM
- Map Data Flows Fast: Coursera
- Foundations of Data Science: Google
- A Crash Course in Data Science: Johns Hopkins University
