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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, Data Cleansing, Software Development Tools, GitHub, Business Analysis, Cloud Computing, Python Programming
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, Apache Hive, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel
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 TrialGoogle
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Machine Learning, Innovation, Data Quality, Critical Thinking
Status: Free TrialSkills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
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, Python Programming, Probability & Statistics, Predictive Modeling, Computer Programming Tools, Data Science, Machine Learning Algorithms, Unsupervised Learning, Machine Learning, Project Management
Status: Free TrialSkills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Workflow Management, Data-Driven Decision-Making, Analytical Skills, Data Science, Project Design, Communication, Business, Business Workflow Analysis, Project Management, Stakeholder Communications, Machine Learning
Stanford 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
Duke University
Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives
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
- Introduction to Data Science in Python: University of Michigan
- Introduction to Data Analytics: IBM
- What is Data Science? : IBM
- Introduction to AI: Google
- Python for Data Science, AI & Development: IBM
- Introduction to Data Engineering: IBM
- Data Science Foundations: IBM
- Foundations of Data Science: Google
- Introduction to Statistics: Stanford University
