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Introduction To Data Science

필터링 기준

"introduction to data science"에 대한 351개의 결과

IBM Skills Network
Introduction to Data Science
획득할 기술: Analysis, Communication, Computer Programming, Data Analysis, Data Management, Data Mining, Database Administration, Database Application, Databases, General Statistics, Machine Learning, Marketing, Modeling, Probability & Statistics, Python Programming, R Programming, Regression, SPSS, SQL, Statistical Programming
4.6
(70.5k개의 검토)
Beginner · Specialization · 3-6 Months
University of Michigan
Introduction to Data Science in Python
획득할 기술: Numpy, Statistical Tests, Probability & Statistics, Computer Programming, Theoretical Computer Science, Mathematical Theory & Analysis, Data Analysis, Pandas, Computational Logic, Python Programming, Programming Principles, Analysis, Mathematics, Statistical Programming
4.5
(25.9k개의 검토)
Intermediate · Course · 1-4 Weeks
University of Michigan
Applied Data Science with Python
획득할 기술: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computational Logic, Computer Graphics, Computer Networking, Computer Programming, Data Analysis, Data Mining, Data Visualization, Econometrics, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Network Analysis, Network Model, Plot (Graphics), Probability & Statistics, Programming Principles, Python Programming, Regression, Scikit-Learn, Statistical Machine Learning, Statistical Programming, Statistical Tests, Theoretical Computer Science
4.5
(32.1k개의 검토)
Intermediate · Specialization · 3-6 Months
무료
Stanford University
Introduction to Statistics
획득할 기술: Probability & Statistics, Markov Model, Inference, Correlation And Dependence, Hypothesis, Probability, Statistical Tests, Analysis, Probability Distribution, Hypothesis Testing, Basic Descriptive Statistics, Regression, Statistical Inference, Statistical Analysis, Plot (Graphics), Data Analysis, Machine Learning, General Statistics, Experiment, Data Visualization, Bayesian Statistics, Econometrics
4.5
(1.2k개의 검토)
Beginner · Course · 1-3 Months
Google
Foundations: Data, Data, Everywhere
획득할 기술: Databases, Spreadsheet Software, Decision Making, Data-Informed Decision-Making, Product Design, Statistical Analysis, Business Analysis, Data Management, Data Visualization, Statistical Programming, Application Development, Analytics, Spreadsheet, SQL, Leadership and Management, Design and Product, Data Analysis, Entrepreneurship, Software Engineering, Analysis
4.8
(50.6k개의 검토)
Beginner · Course · 1-3 Months
IBM Skills Network
Applied Data Science
획득할 기술: 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, Matplotlib, Plot (Graphics), Probability & Statistics, Python Programming, Regression, Regression Analysis, SQL, Spreadsheet Software, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Statistical Visualization, Theoretical Computer Science
4.6
(38.9k개의 검토)
Beginner · Specialization · 3-6 Months

introduction to data science과(와) 관련된 검색

introduction to data science in python

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요약하자면, 여기에 가장 인기 있는 introduction to data science 강좌 10개가 있습니다.

Introduction to Data Science: IBM Skills Network
Introduction to Data Science in Python: University of Michigan
Applied Data Science with Python: University of Michigan
Introduction to Statistics: Stanford University
Data Science Fundamentals for Data Analysts: Databricks
Applied Plotting, Charting & Data Representation in Python: University of Michigan
Foundations: Data, Data, Everywhere: Google
Introduction to Computer Vision and Image Processing: IBM Skills Network
Introduction to the Tidyverse: Johns Hopkins University
Introduction to Data Science and scikit-learn in Python: LearnQuest

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