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Introduction To Data Science

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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, Database Application, Regression, Devops Tools, Machine Learning Algorithms, SPSS, Basic Descriptive Statistics, Data Analysis, Database Administration, Big Data, Computer Programming, Deep Learning, General Statistics, Machine Learning, Marketing, Probability & Statistics, Storytelling, Writing
4.6
(77.2k 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
(26.5k reviews)
Intermediate · Course · 1-4 Weeks
Free
Free
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
(43.3k reviews)
Beginner · Specialization · 3-6 Months
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
(30.6k reviews)
Beginner · Course · 1-3 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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In summary, here are 10 of our most popular introduction to data science courses

Introduction to Data Science: IBM Skills Network
Introduction to Data Science in Python: University of Michigan
Data Science Math Skills: Duke University
Data Science Fundamentals for Data Analysts: Databricks
Introduction to Embedded Machine Learning: Edge Impulse
Introduction to Data Science and scikit-learn in Python: LearnQuest
Applied Data Science: IBM Skills Network
Python for Data Science, AI & Development: IBM Skills Network
Applied Plotting, Charting & Data Representation in Python: University of Michigan
Introduction to Statistics in Python: Coursera Project Network

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