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Results for "introduction to data science"
Status: Free TrialSkills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Analysis Software, Software Development Tools, GitHub, Business Analysis, Data Manipulation, Cloud Computing, Python Programming
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 TrialUniversity of Michigan
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
Status: Free TrialSkills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Store, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Transformation, Data Visualization Software, Microsoft Excel
Status: Free TrialSkills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis
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
What brings you to Coursera today?
Status: Free TrialMultiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Machine Learning Algorithms, Unsupervised Learning, Machine Learning, Project Management
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, Data Collection, Probability Distribution
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, Predictive Modeling, Statistical Inference
Status: PreviewBall State University
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Literacy, Sampling (Statistics), Data Science, R Programming, Data Structures, Data Integrity, Information Privacy, Tidyverse (R Package), Data Manipulation, Ggplot2, Ethical Standards And Conduct
Status: Free TrialStatus: AI skillsSkills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Data Visualization, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Data Transformation, Supervised Learning, Jupyter, Data Analysis, Data Cleansing, Data Manipulation, Data Literacy, Data Mining, Generative AI, Professional Networking, Data Import/Export
Coursera Project Network
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Data Mining
Searches related to introduction to data science
In summary, here are 10 of our most popular introduction to data science courses
- Introduction to Data Science: IBM
- What is Data Science? : IBM
- Introduction to Data Science in Python: University of Michigan
- Introduction to Data Analytics: IBM
- Python for Data Science, AI & Development: IBM
- Foundations of Data Science: Google
- Data Science Foundations: IBM
- Introduction to Statistics: Stanford University
- A Crash Course in Data Science: Johns Hopkins University
- Introduction to Data Science: Ball State University
