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Results for "foundational knowledge needed to work with dark data"
Status: FreeKnowledge Accelerators
Skills you'll gain: Power BI, Dashboard, Data Presentation, Data Visualization Software, Interactive Data Visualization, Data Import/Export, Business Intelligence, Microsoft Excel, Data Analysis, Data-Driven Decision-Making, Data Sharing, Data Modeling
Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning
University of California, Davis
Skills you'll gain: Data Governance, Presentations, Feature Engineering, A/B Testing, Data Cleansing, SQL, Apache Spark, Distributed Computing, Descriptive Statistics, Data Lakes, Data Storytelling, Peer Review, Exploratory Data Analysis, Data Quality, Data Pipelines, Databricks, JSON, Statistical Analysis, Query Languages, Data Manipulation
Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection
Coursera Project Network
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Skills you'll gain: Data Mining, Dashboard, Data Collection, Microsoft Excel, Data Quality, Data Cleansing, Data Analysis, Data Visualization Software, Spreadsheet Software, IBM Cognos Analytics, Exploratory Data Analysis, Pivot Tables And Charts, Data Wrangling
Skills you'll gain: Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Dashboard, Data Ethics, Artificial Intelligence, IBM Cloud, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), SQL, Python Programming, Data Processing, Software Development Tools, Data Cleansing, Augmented and Virtual Reality (AR/VR), Image Analysis, Technical Communication
University of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Database Management Systems, Descriptive Statistics
Johns Hopkins University
Skills you'll gain: Data Manipulation, Data Cleansing, Data Integration, Data Import/Export, Data Collection, Data Management, Web Scraping, R Programming, MySQL, Application Programming Interface (API)
Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Google Sheets, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software, Microsoft Excel
Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Presentation, Data Governance, Data Security, Data Migration, Database Design, Data Visualization, Interactive Data Visualization, Descriptive Statistics, Data Mining, Cloud Storage, Data Visualization Software, IBM DB2, Extract, Transform, Load, Data Management, MySQL, Excel Formulas
In summary, here are 10 of our most popular foundational knowledge needed to work with dark data courses
- From Excel to Power BI: Knowledge Accelerators
- Data Science Foundations: IBM
- Learn SQL Basics for Data Science: University of California, Davis
- Introduction to Data Analytics: Meta
- Introduction to Data Analysis using Microsoft Excel: Coursera Project Network
- Machine Learning: DeepLearning.AI
- Assessment for Data Analysis and Visualization Foundations: IBM
- Generative AI for Data Analysts: IBM
- SQL for Data Science: University of California, Davis
- Getting and Cleaning Data: Johns Hopkins University
