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Pandas (Python Package)

Pandas (Python Package)

Pandas is a powerful data manipulation and analysis tool built on Python, providing flexible and efficient data structures. Coursera's Pandas catalogue teaches you how to leverage this software library for data manipulation and analysis. You'll learn how to create, manipulate, and visualize data using Pandas DataFrames, effectively utilize Series and Panel data structures, handle missing data, and perform grouping and aggregation operations. In addition, you'll gain insights into merging, reshaping, and pivoting datasets, and enhance your data preprocessing and cleaning skills. This knowledge will be invaluable whether you're a data scientist, machine learning engineer, or a researcher aiming to perform data analysis more efficiently.

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Data Science Foundations
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Data Science Fundamentals with Python and SQL
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Applied Data Science
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Python for Data Science, AI & Development
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Google
Google Data Analysis with Python
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NumPy, Matplotlib & Pandas – Data Science Prerequisites
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EDUCBA
Matplotlib: Python Data Visualization & Wrangling
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Python, SQL, Tableau for Data Science
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Explore the Python Pandas Course Catalog

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Coursera Project Network
COVID19 Data Analysis Using Python
Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Infectious Diseases, Python Programming
4.5
Rating, 4.5 out of 5 stars
2K reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Packt
Intermediate Data Analysis Techniques with Pandas
Skills you'll gain: Pandas (Python Package), Text Mining, Data Manipulation, Data Cleansing, Data Analysis Software, Data Integration, Data Wrangling, Data Transformation
4.9
Rating, 4.9 out of 5 stars
12 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
Packt
NLP – Embeddings & Text Preprocessing in Python
Skills you'll gain: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Duke University
Python, Bash and SQL Essentials for Data Engineering
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
4.5
Rating, 4.5 out of 5 stars
448 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Duke University
Designing Larger Python Programs for Data Science
Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Test Case, Data Science, Development Testing, Software Design, Computational Thinking, Integration Testing, Computer Programming, Data Manipulation, Software Engineering, Systems Integration, Software Development
Beginner · Course · 1 - 4 Weeks
Status: Preview
EDUCBA
Regression & Forecasting for Data Scientists using Python
Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation
4.6
Rating, 4.6 out of 5 stars
42 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Coursera Project Network
Data Visualization with ChatGPT: Python for Dashboarding
Skills you'll gain: Dashboard, Data Visualization Software, ChatGPT, Analytics, Data-Driven Decision-Making, Interactive Data Visualization, Data Analysis, Matplotlib, Pandas (Python Package), Python Programming, Generative AI, Integrated Development Environments
4.7
Rating, 4.7 out of 5 stars
10 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Universidad Nacional Autónoma de México
Python: de explorador de datos a analista
Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Data Analysis, Data Science, Python Programming, Software Installation, Data Manipulation, Scripting, Package and Software Management, Development Environment
3.8
Rating, 3.8 out of 5 stars
8 reviews
Mixed · Course · 1 - 3 Months
Status: New
Pearson
Skill Up with Python: Data Science and Machine Learning Recipes
Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Exploratory vs Confirmatory data analysis using Python
Skills you'll gain: Exploratory Data Analysis, Tree Maps, Geographic Information Systems, Plotly, Data Analysis, Data Visualization, Interactive Data Visualization, Data Visualization Software, Jupyter, Statistical Analysis, Pandas (Python Package)
4.9
Rating, 4.9 out of 5 stars
10 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
Universidad Nacional Autónoma de México
Python: de usuario a explorador de datos
Skills you'll gain: Extract, Transform, Load, Pandas (Python Package), NumPy, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Visualization Software, Package and Software Management, Graphing, Data Analysis, Jupyter, Data Import/Export, Python Programming, Data Manipulation
3.9
Rating, 3.9 out of 5 stars
19 reviews
Beginner · Course · 1 - 3 Months
Status: New
Status: Free Trial
Packt
Foundations of ML & Python for Data Science
Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution
Beginner · Course · 1 - 4 Weeks