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Results for "foundational knowledge needed to work with dark data"
University of Michigan
Skills you'll gain: Web Scraping, JSON, Network Protocols, Web Services, Restful API, Application Programming Interface (API), Extensible Markup Language (XML), Data Import/Export, TCP/IP, Python Programming, Hypertext Markup Language (HTML), Data Manipulation, Data Structures, Software Installation
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Statistical Software, Data Science, Descriptive Statistics
Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Storage Technologies, Apache Hadoop, Relational Databases, Apache Spark, Database Design, Data Lakes, Databases, SQL, Data Mart, Data Security
Status: NewSkills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Data Presentation, Risk Analysis, Project Scoping, Process Mapping, Process Optimization, Data Visualization, Requirements Management, Risk Management, Interactive Data Visualization, Business Requirements, Stakeholder Management, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Analysis
Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Visualization, Data Analysis, Tidyverse (R Package), Data Cleansing, Data Manipulation, Statistical Analysis, Programming Principles, Development Environment, Integrated Development Environments, Data Import/Export, Data Structures
Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Quality, Pivot Tables And Charts, Google Sheets, Data Entry, Data Manipulation, Information Privacy
Skills you'll gain: Multimedia, Microsoft PowerPoint, Presentations, Microsoft 365, Productivity Software, Microsoft Windows, Editing, Product Demonstration, File Management
Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Big Data, Analytical Skills, Analysis, Data Visualization, Data Science, Statistical Analysis, Data Visualization Software, Data Processing, Decision Making, Data Collection
Skills you'll gain: Power BI, Data-Driven Decision-Making, Data Analysis, Microsoft Power Platform, Data Collection, Business Analytics, Data Transformation, Data Visualization Software, Microsoft 365
University of Michigan
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Processing, Predictive Modeling, Data Quality, Data Storytelling, User Feedback, Decision Tree Learning
Status: FreeDeep Teaching Solutions
Skills you'll gain: Learning Strategies, Time Management, Willingness To Learn, Mental Concentration, Creativity, Persistence, Stress Management, Self-Awareness, Adaptability
In summary, here are 10 of our most popular foundational knowledge needed to work with dark data courses
- Using Python to Access Web Data: University of Michigan
- Introduction to Probability and Data with R: Duke University
- Introduction to Data Engineering: IBM
- IBM Business Analyst: IBM
- Data Analysis with R Programming: Google
- Excel Basics for Data Analysis: IBM
- Work Smarter with Microsoft PowerPoint: Microsoft
- Data-driven Decision Making: PwC
- Harnessing the Power of Data with Power BI: Microsoft
- Introduction to Data Science in Python: University of Michigan
