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Python Pandas Courses

Python Pandas courses can help you learn data manipulation, data analysis, and data visualization techniques. You can build skills in handling large datasets, performing statistical analysis, and cleaning data for better insights. Many courses introduce tools like Jupyter Notebooks and Matplotlib, that support applying your skills in real-world data projects. You'll also explore key topics such as time series analysis, merging datasets, and using functions to automate repetitive tasks, making your data workflows more efficient.

Popular Python Pandas Courses and Certifications

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Analysis with Pandas and Python

    Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Plot (Graphics), Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Spreadsheet Software, Text Mining, Data Wrangling, Data Access, Data Manipulation, Data Cleansing, Data Presentation, Data Processing, Data Integration, Programming Principles, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    41 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google Data Analysis with Python

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Code Reusability, Data Preprocessing, Data Wrangling, Package and Software Management, Data Analysis, Data Processing, Data Integration, JSON, Object Oriented Programming (OOP), Data Science, Data Structures, Python Programming, Exploratory Data Analysis, Computer Programming, Programming Principles, Data Storage, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    130 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    The Complete Python and Data Science Bootcamp

    Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Object Oriented Programming (OOP), Pandas (Python Package), Plot (Graphics), Data Structures, Unit Testing, Object Oriented Design, Python Programming, File I/O, Data Visualization Software, Algorithms, Interactive Data Visualization, Machine Learning Methods, Computational Thinking, Programming Principles, Computer Programming, Program Development

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Enterprise Data Wrangling with SQL and Python

    Skills you'll gain: Data Wrangling, Data Cleansing, Relational Databases, Extract, Transform, Load, Data Manipulation, Data Integration, SQL, Databases, Database Management, Data Transformation, Data Processing, Data Quality, Business Intelligence, Data Access, Data Pipelines, Data Validation, Alteryx, Pandas (Python Package), Dataflow, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Data Processing, Data Science, Predictive Analytics, Model Training, Analytics, Model Optimization, Pandas (Python Package), Statistical Modeling, Data Visualization, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Wrangling, NumPy, File I/O, Query Languages, Data Integration, Python Programming, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • C

    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    385 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python, SQL, Tableau for Data Science

    Skills you'll gain: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    26 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Data Analysis with NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Data Wrangling, Jupyter, Data Visualization, Microsoft Excel, Plot (Graphics), Data Transformation, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Data Processing, Python Programming, Data Analysis Software

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python and Pandas for Data Engineering

    Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Microsoft Development Tools, Data Analysis Software, Package and Software Management, Virtual Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    273 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Mastering Data Analysis with Pandas

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    181 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Analytics, Plot (Graphics), Model Evaluation, Statistical Visualization, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Numerical Analysis, Model Training, Data Manipulation, Exploratory Data Analysis, Advanced Analytics, Data Wrangling, Python Programming, Descriptive Statistics, Linear Algebra, Data Import/Export

    Beginner · Course · 1 - 3 Months

1234…18

In summary, here are 10 of our most popular python pandas courses

  • Data Analysis with Pandas and Python: Packt
  • Google Data Analysis with Python: Google
  • The Complete Python and Data Science Bootcamp: Packt
  • Enterprise Data Wrangling with SQL and Python: Northeastern University
  • Data Analysis with Python: IBM
  • Pandas for Data Science: Duke University
  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Python, SQL, Tableau for Data Science: Coursera
  • Data Analysis with NumPy and Pandas: EDUCBA
  • Python and Pandas for Data Engineering: Duke University

Skills you can learn in Data Analysis

Analytics (85)
Big Data (64)
Python Programming (47)
Business Analytics (40)
R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

Frequently Asked Questions about Python Pandas

Python Pandas is a powerful open-source data analysis and manipulation library for the Python programming language. It provides data structures like Series and DataFrames, which allow for efficient handling of structured data. Pandas is important because it simplifies complex data operations, making it easier for individuals and organizations to analyze and visualize data. With its intuitive syntax and robust functionality, Pandas is widely used in data science, finance, and many other fields where data-driven decision-making is crucial.‎

With skills in Python Pandas, you can pursue various job roles in data analysis, data science, and business intelligence. Common job titles include Data Analyst, Data Scientist, Business Analyst, and Data Engineer. These positions often require the ability to manipulate and analyze large datasets, create visualizations, and derive insights that inform business strategies. Additionally, many organizations seek professionals who can automate data processing tasks, making Python Pandas a valuable asset in the job market.‎

To learn Python Pandas effectively, you should have a foundational understanding of Python programming. Familiarity with basic data structures, functions, and libraries like NumPy is also beneficial. Additionally, knowledge of statistics and data visualization concepts can enhance your ability to analyze and present data. As you progress, you may want to explore topics like data cleaning, data transformation, and exploratory data analysis, which are essential for working with real-world datasets.‎

There are several excellent online courses available for learning Python Pandas. For a comprehensive learning experience, consider the Data Analysis with Pandas and Python Specialization, which covers fundamental to advanced topics. Alternatively, the Foundations of Data Analysis with Pandas and Python course offers a solid introduction to data analysis techniques using Pandas.‎

Yes. You can start learning python pandas on Coursera for free in two ways:

  1. Preview the first module of many python pandas courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in python pandas, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn Python Pandas, start by familiarizing yourself with Python basics if you haven't already. Next, explore online courses or tutorials that focus on Pandas, such as the BiteSize Python: NumPy and Pandas course. Practice by working on real datasets, experimenting with data manipulation and analysis techniques. Engaging in projects or challenges can also reinforce your learning and build your confidence.‎

Typical topics covered in Python Pandas courses include data structures (Series and DataFrames), data manipulation (filtering, sorting, and grouping), data cleaning techniques, merging and joining datasets, and data visualization. Additionally, courses often address time series analysis and handling missing data, which are crucial for effective data analysis. By covering these topics, learners gain a comprehensive understanding of how to work with data using Pandas.‎

For training and upskilling employees or the workforce in Python Pandas, the Data Science Foundations: NumPy, Pandas & Visualization course is an excellent choice. It provides a solid foundation in data analysis techniques and visualization, making it suitable for professionals looking to enhance their data skills. Additionally, the Python and Pandas for Data Engineering course focuses on practical applications in data engineering, which can be beneficial for teams working with large datasets.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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