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Introduction To Data Science

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415 results for "introduction to data science"

IBM Skills Network
Introduction to Data Science
Skills you'll gain: Data Science, Data Structures, SQL, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Statistical Programming, Databases, Python Programming, Database Theory, Data Visualization Software, R Programming, Data Management, Data Mining, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Application, Big Data, Computer Programming, Database Administration, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing
4.6
(78.5k reviews)
Beginner · Specialization · 3-6 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Basic Descriptive Statistics, Python Programming, Data Analysis, Data Structures, Data Mining, Exploratory Data Analysis, Statistical Analysis, Correlation And Dependence, Statistical Tests, Data Architecture, Estimation, General Statistics, Linear Algebra, Regression, Statistical Visualization, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Programming Principles, Statistical Programming, Theoretical Computer Science
4.5
(26.6k reviews)
Intermediate · Course · 1-4 Weeks
Free
Stanford University
Introduction to Statistics
Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization
4.6
(2.1k reviews)
Beginner · Course · 1-3 Months
University of Michigan
Applied Data Science with Python
Skills you'll gain: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science
4.5
(33.1k reviews)
Intermediate · Specialization · 3-6 Months
Free
IBM Skills Network
Python for Data Science, AI & Development
Skills you'll gain: Data Analysis, Python Programming, Data Structures, Programming Principles, Algebra, Basic Descriptive Statistics, Exploratory Data Analysis, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Statistical Programming, Theoretical Computer Science
4.6
(31.1k reviews)
Beginner · Course · 1-3 Months
IBM Skills Network
Applied Data Science
Skills you'll gain: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science
4.6
(44.1k reviews)
Beginner · Specialization · 3-6 Months
University of Michigan
Applied Machine Learning in Python
Skills you'll gain: Applied Machine Learning, Data Analysis, Data Mining, Machine Learning, Machine Learning Algorithms, General Statistics, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Python Programming, Regression, Estimation, Linear Algebra, Statistical Tests, Algorithms, Artificial Neural Networks, Computer Programming, Econometrics, Exploratory Data Analysis, Probability & Statistics, Theoretical Computer Science
4.6
(8.3k reviews)
Intermediate · Course · 1-4 Weeks

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415 results for "introduction to data science"

Introduction to Data Science

Introduction to R Programming for Data Science

Introduction to Data Science in Python

Introduction to Statistics

Applied Data Science with Python

Data Science Fundamentals for Data Analysts

Data Science Math Skills

Introduction to Data Science and scikit-learn in Python

Python for Data Science, AI & Development

Data Science and Analysis Tools - from Jupyter to R Markdown

Applied Data Science

Applied Machine Learning in Python

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