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「list & label」の72件の結果

Databricks
Applied Data Science for Data Analysts
習得できるスキル： Algorithms, Computer Programming, Data Management, Machine Learning, Probability & Statistics, Theoretical Computer Science, Mathematics, Feature Engineering, Machine Learning Algorithms, Applied Machine Learning, General Statistics, Data Science, Data Structures, Dimensionality Reduction, Statistical Programming
4.4
（36件のレビュー）
Intermediate · Course · 1-3 Months
Johns Hopkins University
Wrangling Data in the Tidyverse
習得できるスキル： R Programming, Statistical Programming, Data Management, Extract, Transform, Load, Computer Programming, Programming Principles, Theoretical Computer Science, Computational Logic, Data Analysis, Data Mining, Data Structures, Entrepreneurship, Leadership and Management, Machine Learning, Mathematics, Natural Language Processing, Problem Solving, Research and Design
4.5
（28件のレビュー）
Mixed · Course · 1-3 Months
IBM
AI Workflow: Machine Learning, Visual Recognition and NLP
習得できるスキル： Machine Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Machine Learning Software, Natural Language Processing, Statistical Machine Learning, Algebra, Computer Vision, Data Engineering, Data Science, Deep Learning, Econometrics, Mathematics, Python Programming, Tensorflow
4.4
（66件のレビュー）
Advanced · Course · 1-4 Weeks
無料
University of Illinois at Urbana-Champaign
Digital Marketing
習得できるスキル： Marketing, Digital Marketing, Research and Design, Communication, Entrepreneurship, Sales, Leadership and Management, Business, Marketing Management, Market Research, Marketing Design, Strategy and Operations, Media Strategy & Planning, Media Production, Design and Product, Strategy, Business Analysis, Market Analysis, Product Marketing, Customer Analysis, Advertising Sales, Business Development, Product Management, Advertising, Brand Management, MarTech, Influencing, Social Media, Business Design, Collaboration, Data Analysis, Finance, Public Relations, Search Engine Optimization, Web Design, Web Development, Business Psychology, Change Management, Customer Support, Human Learning, Journalism, Marketing Psychology, Packaging and Labeling, Product Design, Survey Creation, Visual Design, Accounting, Back-End Web Development, Big Data, Computer Graphics, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Human Computer Interaction, Product Development, Statistical Analysis, Supply Chain and Logistics, Virtual Reality
4.7
（21.9k件のレビュー）
Beginner · Specialization · 3-6 Months
DeepLearning.AI、Amazon Web Services
Practical Data Science on the AWS Cloud
習得できるスキル： Machine Learning, Advertising, Amazon Web Services, Cloud Computing, Communication, Computer Programming, Data Analysis, Deep Learning, Exploratory Data Analysis, Feature Engineering, Marketing, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles, Python Programming, Statistical Programming
4.6
（434件のレビュー）
Advanced · Specialization · 1-3 Months
無料
The University of Melbourne
Discrete Optimization
習得できるスキル： Computer Science, Mathematics, Applied Mathematics, Computer Programming, Geometry, Linear Algebra, Python Programming, Algorithms, Entrepreneurship, Graph Theory, Market Research, Operations Research, Programming Principles, Research and Design, Software Engineering, Software Testing, Statistical Programming, Strategy and Operations, Theoretical Computer Science
4.8
（702件のレビュー）
Intermediate · Course · 1-3 Months
無料
Technische Universität München (TUM)
The Economics of Agro-Food Value Chains
習得できるスキル： Entrepreneurship, Research and Design, Marketing, Leadership and Management, Strategy and Operations, Sales, Market Research, Strategy, Innovation, Design and Product, Supply Chain and Logistics, Data Analysis, Probability & Statistics, Contract Management, Product Management, Product Marketing, Retail Store Operations, Business Psychology, General Statistics, Mathematics, Accounting, Audit, B2B Sales, Business Analysis, Business Development, Communication, Finance, Human Resources, Linear Algebra, Market Analysis, Organizational Development, Product Strategy, Advertising, Basic Descriptive Statistics, Behavioral Economics, Budget Management, Calculus, Collaboration, Compensation, Computer Programming, Econometrics, General Accounting, Leadership Development, Planning, Problem Solving, Programming Principles, Retail Sales, Software Architecture, Software Engineering, Statistical Analysis, Supply Chain Systems, Theoretical Computer Science
4.5
（390件のレビュー）
Intermediate · Course · 3-6 Months
DeepLearning.AI
Optimize ML Models and Deploy Human-in-the-Loop Pipelines
習得できるスキル： Machine Learning, Advertising, Amazon Web Services, Cloud Computing, Communication, Computer Programming, Deep Learning, Feature Engineering, Marketing, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles
4.7
（92件のレビュー）
Advanced · Course · 1-4 Weeks

要約して、list & label の人気コース10選をご紹介します。

Networking in Google Cloud: Hybrid Connectivity and Network Management: Google Cloud
Applied Data Science for Data Analysts: Databricks
Cloud Data Engineering: Duke University
Wrangling Data in the Tidyverse: Johns Hopkins University
AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
Data Mining for Smart Cities: Indian Institute of Technology Roorkee
Digital Marketing: University of Illinois at Urbana-Champaign
Practical Data Science on the AWS Cloud: DeepLearning.AI
Discrete Optimization: The University of Melbourne
The Economics of Agro-Food Value Chains: Technische Universität München (TUM)

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