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Results for "data science computational thinking for k-12 educators: sequences and loops"
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Status: NewStatus: Free TrialSkills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Processing, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology, Software Testing, Debugging
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Computational Thinking, Education Software and Technology, Programming Principles, Debugging, Computer Programming, Computer Programming Tools, Algorithms, Development Environment, Computer Science, Brainstorming
Status: NewStatus: Free TrialSkills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
What brings you to Coursera today?
Status: Free TrialUniversity of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Network Routing
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Probability, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Probability Distribution, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Data Ethics, Statistics, Applied Mathematics, Data Science, A/B Testing, Data Analysis, Quantitative Research, Descriptive Statistics, Artificial Intelligence
Status: Free TrialSkills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Relational Databases, Stored Procedure, Python Programming, Data Science, Data Structures, Computer Programming Tools, Data Analysis Software
Status: NewSkills you'll gain:
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Matplotlib, Pandas (Python Package), Data Analysis, Scatter Plots, Data Cleansing, Data Manipulation, Data Integration, Data Transformation, Big Data, Programming Principles, Python Programming
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics, Analysis
In summary, here are 10 of our most popular data science computational thinking for k-12 educators: sequences and loops courses
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Data Science Fundamentals Part 1: Unit 2: Pearson
- Data Structures and Algorithms: University of California San Diego
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego
- Data Science Fundamentals Part 1: Unit 1: Pearson
- Introduction to Discrete Mathematics for Computer Science: University of California San Diego
- Data Science Foundations: Statistical Inference: University of Colorado Boulder
- Data Science Fundamentals with Python and SQL: IBM
- Survey of Data Science: Packt
