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Results for "data manipulation with numpy and pandas"
Status: Free TrialSkills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Development Environment
Status: Free TrialUniversity of Michigan
Skills you'll gain: Debugging, Data Analysis, Data Processing, Numerical Analysis, Critical Thinking
Status: NewPackt
Skills you'll gain: NumPy, Scientific Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming
Status: NewStatus: PreviewSkills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing
Status: NewSkills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Matplotlib, Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Scatter Plots, Data Processing, Histogram, Data Analysis, Exploratory Data Analysis, Graphing, Pandas (Python Package), Image Quality, Data Visualization Software, Python Programming
Status: Free TrialDuke University
Skills you'll gain: NumPy, Object Oriented Programming (OOP), Data Structures, Data Science, Data Processing, Big Data, Image Analysis, Data Analysis, Statistical Analysis, Python Programming, Algorithms, Data Management
Status: Free TrialDuke University
Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, NumPy, Query Languages, Data Integration, Python Programming, Data Import/Export, Data Analysis, Debugging
Status: NewStatus: PreviewMicrosoft
Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Data Analysis, Data Cleansing
Status: Free TrialCoursera Instructor Network
Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Statistical Analysis, Trend Analysis, Data Cleansing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming
Status: Free TrialDuke University
Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment
In summary, here are 10 of our most popular data manipulation with numpy and pandas courses
- Data Analysis with Pandas and Python: Packt
- NumPy and Pandas Basics for Future Data Scientists: University of Michigan
- Intro to NumPy: Packt
- Data Analysis with Python: IBM
- From Raw to Ready: Data Preparation in Python: Coursera
- Data Science Foundations: NumPy, Pandas & Visualization: Packt
- Matplotlib: Python Data Visualization & Wrangling: EDUCBA
- Data Science with NumPy, Sets, and Dictionaries: Duke University
- Pandas for Data Science: Duke University
- Mastering Data Wrangling with dplyr: Microsoft
