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Results for "non-relational+data"
University of California, Irvine
Skills you'll gain: Accounting, Adaptability, Business Analysis, Finance, Financial Analysis, Generally Accepted Accounting Principles (GAAP), Cost Accounting, Financial Accounting, Financial Management, Operational Analysis
Johns Hopkins University
Skills you'll gain: Probability & Statistics, Experiment, Data Analysis, General Statistics, Data Management, Leadership and Management
Status: FreeIllinois Tech
Coursera Project Network
Skills you'll gain: Databases, PostgreSQL, SQL
Fractal Analytics
Skills you'll gain: Data Visualization, Storytelling
Tsinghua University
Skills you'll gain: Problem Solving, Mathematics, Calculus, Algebra, Programming Principles, Computer Programming
Universidad Nacional Autónoma de México
Skills you'll gain: Databases, SQL, Business Intelligence, Data Warehousing, Leadership and Management, NoSQL
University of California San Diego
Skills you'll gain: Computer Programming, Java Programming, Data Structures, Theoretical Computer Science, Algorithms
University of Maryland, College Park
Tsinghua University
Skills you'll gain: Algebra, Calculus, Mathematics, Problem Solving
University of Illinois Urbana-Champaign
Skills you'll gain: Basic Descriptive Statistics, Business Analysis, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Decision Making, General Statistics, Microsoft Excel
In summary, here are 10 of our most popular non-relational+data courses
- Introduction to Data Management:Â Meta
- Finance for Non-Financial Professionals:Â University of California, Irvine
- Data Science in Real Life:Â Johns Hopkins University
- Data Preparation and Analysis:Â Illinois Tech
- Performing Data Definition and Manipulation in SQL:Â Coursera Project Network
- Data Storytelling:Â Fractal Analytics
- Data Structures and Algorithms (I):Â Tsinghua University
- Database systems: Universidad Nacional Autónoma de México
- Advanced Data Structures in Java:Â University of California San Diego
- Combining and Analyzing Complex Data:Â University of Maryland, College Park
