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Python Data Science

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「python data science」の690件の結果

IBM
Applied Data Science
習得できるスキル： Algebra, Algorithms, Business Analysis, Computational Logic, Computer Programming, Computer Programming Tools, Correlation And Dependence, Data Analysis, Data Management, Data Mining, Data Visualization, Databases, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Geovisualization, Interactive Data Visualization, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Modeling, Plot (Graphics), Probability & Statistics, Python Programming, Regression, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science
4.6
（38k件のレビュー）
Beginner · Specialization
IBM
Advanced Data Science with IBM
習得できるスキル： Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Bayesian Statistics, Big Data, Change Management, Cloud Computing, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Model, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Distributed Computing Architecture, Econometrics, Estimation, Experiment, Extract, Transform, Load, General Statistics, IBM Cloud, Leadership and Management, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Plot (Graphics), Probability & Statistics, Probability Distribution, Process, Programming Principles, Python Programming, Regression, SQL, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Strategy and Operations, Theoretical Computer Science
4.3
（2.9k件のレビュー）
Advanced · Specialization
University of Pennsylvania
Computational Thinking for Problem Solving
習得できるスキル： Computer Programming, Microarchitecture, Programming Principles, Supply Chain and Logistics, Computer Program, Machine Learning, Python Programming, Computer Architecture, Algorithms, Computational Thinking, Thought, Statistical Programming, Applied Machine Learning, Inventory Management, Theoretical Computer Science
4.7
（1.1k件のレビュー）
Beginner · Course
Duke University
Introduction to Machine Learning
習得できるスキル： Machine Learning Algorithms, Machine Learning, Algorithms, Supply Chain, General Statistics, Deep Learning, Regression, Probability & Statistics, Computer Vision, Theoretical Computer Science, Convolutional Neural Network, Language, Natural Language, Logistic Regression, Artificial Neural Networks, Natural Language Processing
4.7
（3k件のレビュー）
Intermediate · Course
University of Michigan
Applied Text Mining in Python
習得できるスキル： Mathematics, Computer Programming, Machine Learning Software, Algorithms, Data Analysis, Machine Learning, Language, Programming Principles, Mathematical Theory & Analysis, Data Mining, Natural Language Processing, Modeling, Theoretical Computer Science, Statistical Programming, Python Programming, Regular Expression, Computational Logic, Natural Language, General Statistics, Probability & Statistics, Statistical Machine Learning
4.2
（3.6k件のレビュー）
Intermediate · Course
IBM
Scalable Machine Learning on Big Data using Apache Spark
習得できるスキル： Basic Descriptive Statistics, Apache, Databases, NoSQL, Data Management, Data Analysis, Big Data, Machine Learning, Regression, Business Analysis, SQL, General Statistics, Correlation And Dependence, Apache Spark, Statistical Programming, Probability & Statistics, Statistical Analysis, Machine Learning Algorithms
3.8
（1.2k件のレビュー）
Intermediate · Course

python data scienceに関連する検索

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要約して、python data science の人気コース10選をご紹介します。

Applied Data Science: IBM
Python Project for Data Engineering: IBM
Introduction to Data Science and scikit-learn in Python: LearnQuest
Python for Genomic Data Science: Johns Hopkins University
Python per la Data Science: Università di Napoli Federico II
Learn SQL Basics for Data Science: University of California, Davis
Introduction to Python Programming: University of Pennsylvania
Advanced Data Science with IBM: IBM
Computational Thinking for Problem Solving: University of Pennsylvania
Introduction to Machine Learning: Duke University