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Results for "data sci"
Status: Free TrialSkills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Data Science, Database Management, Big Data, Computer Programming Tools, Data Analysis Software, Software Development Tools, GitHub, Cloud Computing, Python Programming
Status: Free TrialSkills you'll gain: SQL, Databases, Stored Procedure, Relational Databases, Database Design, Query Languages, Database Management, Data Analysis, Jupyter, Data Manipulation, Pandas (Python Package), Python Programming, Transaction Processing
Status: NewSkills you'll gain:
Status: Free TrialSkills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence
Status: NewStatus: Free TrialUniversity of California, Davis
Skills you'll gain: Data Governance, Presentations, SQL, Descriptive Statistics, Data Storytelling, Data Analysis, Peer Review, Exploratory Data Analysis, Data Quality, Statistical Analysis, Data Modeling, Performance Metric, Database Design, Complex Problem Solving, Query Languages, Data Visualization, Business Analytics, JSON, Text Mining, Apache Spark
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning Algorithms, Plotly, Machine Learning, GitHub
Status: Free TrialUniversity of California, Davis
Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Science, Data Analysis, Data Cleansing
Status: Free TrialSkills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Analysis Software, Web Scraping, Python Programming
Status: NewSkills you'll gain:
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Git (Version Control System), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning
Status: PreviewDuke University
Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives
In summary, here are 10 of our most popular data sci courses
- Introduction to Data Science: IBM
- Databases and SQL for Data Science with Python: IBM
- Data Science Fundamentals, Part 1: Pearson
- What is Data Science? : IBM
- Learn SQL Basics for Data Science: University of California, Davis
- Advanced Statistics for Data Science: Johns Hopkins University
- Data Science: Johns Hopkins University
- SQL for Data Science: University of California, Davis
- Data Science Fundamentals with Python and SQL: IBM
- Data Science Fundamentals, Part 2: Pearson
