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Results for "data manipulation with numpy and pandas"
Status: Free TrialDuke University
Skills you'll gain: Matplotlib, Pandas (Python Package), Data Visualization, Data Cleansing, NumPy, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Object Oriented Programming (OOP), Data Structures, Predictive Modeling, Data Analysis
Status: Free TrialSkills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning
Status: Free TrialSkills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Presentation, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots, Python Programming
Status: Free TrialUniversidad Nacional Autónoma de México
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Extract, Transform, Load, Data Analysis, NumPy, Package and Software Management, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Python Programming, Jupyter, Graphing, Data Import/Export, Data Manipulation, Ubuntu, Scripting, Software Installation, Computational Thinking, Development Environment
Status: NewStatus: PreviewSkills you'll gain: Data Storytelling, Data Presentation, Plotly, Matplotlib, Exploratory Data Analysis, Plot (Graphics), Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Seaborn, Data Analysis, Box Plots, Descriptive Statistics, Jupyter, Data Science, Anomaly Detection, Python Programming, GitHub
Status: NewSkills you'll gain: Interoperability, Data Transformation, Python Programming, Application Security
Status: NewStatus: Free TrialMicrosoft
Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Data Validation, Generative AI, Data Integrity
Status: NewStatus: Free TrialSkills you'll gain: Matplotlib, Data Storytelling, Data Visualization, Scientific Visualization, Statistical Visualization, Data Visualization Software, Graphing, Scatter Plots, Image Quality, NumPy, Histogram, Image Analysis
Status: Free TrialSkills you'll gain: Pandas (Python Package), Data Analysis, Exploratory Data Analysis, Data Modeling, Data Manipulation, Jupyter, Matplotlib, Data Visualization, Programming Principles, Data Cleansing, Data Visualization Software, Python Programming, Scripting, Scripting Languages
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming
Status: PreviewNanjing University
Skills you'll gain: Data Mining, Data Analysis, Statistical Analysis, Financial Data, Data Presentation, Data Processing, User Interface (UI), Object Oriented Programming (OOP), Pandas (Python Package), NumPy, Python Programming, Web Scraping, Data Manipulation, Matplotlib
Status: NewStatus: Free TrialSkills you'll gain: PySpark, MySQL, Data Pipelines, Apache Spark, Data Processing, SQL, Data Transformation, Data Manipulation, Distributed Computing, Programming Principles, Python Programming, Debugging
In summary, here are 10 of our most popular data manipulation with numpy and pandas courses
- Programming for Python Data Science: Principles to Practice: Duke University
- Data Analysis and Visualization with Python: Microsoft
- Data Visualization with Python: IBM
- Python: de cero a analista de datos: Universidad Nacional Autónoma de México
- Explore and Visualize Data the Python Way: Coursera
- Data Representation and Serialization: Packt
- Data Manipulation and Cleaning in R: Microsoft
- Mastering Data Visualization with Matplotlib: EDUCBA
- Python Data Analytics: Meta
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
