Results for "introduction to data science"
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: Free TrialSkills you'll gain: SQL, Peer Review, Jupyter, Data Literacy, Data Mining, Data Modeling, Data Collection, Model Deployment, Business Analysis, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Visualization Software, GitHub, Cloud Computing, Python Programming
Status: Free TrialUniversity of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles
Status: Free TrialSkills you'll gain: Statistical Visualization, Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel
Status: NewStatus: Free TrialUniversity of Pittsburgh
Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
Status: Free TrialMultiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference
Status: Free TrialSkills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication, Stakeholder Communications, Workflow Management, Project Management, Machine Learning
Status: PreviewBall State University
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), Data Science, R Programming, Statistical Methods, Data Structures, Data Analysis, Data Capture, Information Privacy, Tidyverse (R Package), Data Quality, Informed Consent, Social Impact, Ethical Standards And Conduct, Data Validation, Algorithms, Big Data
Status: PreviewStanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution
Status: NewStatus: PreviewUniversity of Leeds
Skills you'll gain: Data Ethics, Ethical Standards And Conduct, Data-Driven Decision-Making, Responsible AI, Risking, Data Strategy, Scientific Methods, Research Methodologies
Status: PreviewDuke University
Skills you'll gain: Probability, Graphing, Algebra, Bayesian Statistics, Arithmetic, Data Science, Calculus, General Mathematics
What brings you to Coursera today?
Searches related to introduction to data science
In summary, here are 10 of our most popular introduction to data science courses
- What is Data Science? : IBM
- Introduction to Data Science: IBM
- Introduction to Data Science in Python: University of Michigan
- Introduction to Data Analytics: IBM
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- Data Science Foundations: IBM
- A Crash Course in Data Science: Johns Hopkins University
- Foundations of Data Science: Google
- Introduction to Data Science: Ball State University
- Introduction to Statistics: Stanford University
