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    • Python Pandas

    Python Pandas Courses Online

    Learn Pandas for data manipulation in Python. Understand how to use Pandas for data cleaning, transformation, and analysis.

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    Explore the Python Pandas Course Catalog

    • Status: New
      New
      E

      Edureka

      Applied Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering, Dimensionality Reduction

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      TensorFlow for Beginners: Basic Binary Image Classification

      Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Computer Vision, Deep Learning

      Beginner · Guided Project · Less Than 2 Hours

    • H

      Howard University

      Capstone: Data Science Problem in Linear Algebra Framework

      Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Linear Algebra

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Analyze Data in Azure ML Studio

      Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Auto Machine Learning (AutoML) Using AutoGluon

      Skills you'll gain: Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Amazon Web Services, Prototyping

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      GenAI for Algorithmic Trading

      Skills you'll gain: Generative AI, Financial Trading, Market Data, Portfolio Management, Technical Analysis, Financial Market, Market Trend, Real Time Data, Investment Management, Automation, Artificial Intelligence, Python Programming, Predictive Modeling, Time Series Analysis and Forecasting, Applied Machine Learning, Risk Management

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Crash Course 2023

      Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), NumPy, Matplotlib, Python Programming, Artificial Neural Networks, Pandas (Python Package), Machine Learning Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Network Model, Data Manipulation, Regression Analysis

      Beginner · Course · 3 - 6 Months

    • U

      Universidad Austral

      NLP System Architecture and Dev-Ops

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Algorithms, Software Development Life Cycle, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Cisco CCNP Security SCOR (Exam 350-701)

      Skills you'll gain: Endpoint Security, Network Security, Public Key Infrastructure, Hardening, Cybersecurity, Virtual Private Networks (VPN), Firewall, Cyber Attacks, Multi-Factor Authentication, Patch Management, Cloud Security, Cryptography, Threat Modeling, Infrastructure Security, Security Controls, Intrusion Detection and Prevention, Role-Based Access Control (RBAC), Network Architecture, Virtual Local Area Network (VLAN), Network Monitoring

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Generative AI, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning, Python Programming, Jupyter, Development Environment, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • W

      Whizlabs

      Automation With Salt

      Skills you'll gain: Infrastructure as Code (IaC), IT Automation, Command-Line Interface, Docker (Software), Software Installation, Automation, System Configuration, YAML, Systems Administration, Configuration Management, Remote Access Systems

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Flask تعلم تصميم تطبيقات الويب باستخدام بايثون و

      Skills you'll gain: Flask (Web Framework), Web Applications, Web Development, Web Design and Development, HTML and CSS, Database Application, Databases

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Applied Machine Learning with Python: Edureka
    • TensorFlow for Beginners: Basic Binary Image Classification: Coursera Project Network
    • Capstone: Data Science Problem in Linear Algebra Framework: Howard University
    • Analyze Data in Azure ML Studio: Coursera Project Network
    • Auto Machine Learning (AutoML) Using AutoGluon : Coursera Project Network
    • GenAI for Algorithmic Trading: Coursera Instructor Network
    • Deep Learning - Crash Course 2023: Packt
    • NLP System Architecture and Dev-Ops: Universidad Austral
    • Cisco CCNP Security SCOR (Exam 350-701): Packt
    • Machine Learning – Modern Computer Vision & Generative AI: Packt

    Skills you can learn in Data Analysis

    Analytics (85)
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    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Python Pandas

    Python Pandas is a software library for data analysis that is used with the open source Python programming language. By loading data sets into a Pandas DataFrame, a user can manipulate, analyze, and visualize that data for exploratory data analysis. Python Pandas is important to learn about because its flexibility, speed, and power in data processing makes it one of the most widely used Python libraries in data science.

    Pandas is built on the NumPy package, which is the numerical Python library for scientific computing, arrays, and linear algebra. As an example, if you wanted to predict an economic trend with a statistical model, Pandas could be used to import your data set, NumPy machine learning (ML) algorithms could perform the linear regression, and the data visualization library Matplotlib could be used to create your plots and charts. For unstructured data analysis, you could use NLTK (Natural Language Toolkit) to perform text mining for business intelligence applications.‎

    Python Pandas skills have many applications in the real world, as data science is increasingly applied to everything from economics and statistics to neuroscience and advertising. Data scientists are responsible for analyzing massive datasets, designing machine learning algorithms and predictive models, and helping management harness these data-driven insights to answer important business questions.

    Although they often need to be familiar with many data frameworks and programming languages, many data scientists rely on Pandas, NumPy, and other Python programming skills as a foundation for their exploratory data analysis. According to Glassdoor, the national average salary for a data scientist is $113,309 per year.‎

    Yes! Coursera offers a wide range of online courses, Specializations, and professional certificates in data science, including courses that teach the use of Python Pandas for data processing, data analytics, and data visualizations. You can take courses from top-ranked institutions like the University of Michigan as well as industry-leading organizations like IBM, so you can rest assured you’ll get a high-quality education. Coursera’s Guided Projects also allow you to build these skills by completing hands-on tutorials with expert instructors in topics like linear regression and data processing with Python, giving you another way to learn online.‎

    It's necessary to have basic computer skills including how to navigate a cloud desktop and install a computer program before starting to learn Python pandas. It's possible to start learning pandas without any prior knowledge of coding or Python, but having these skills will make learning pandas easier. It's also helpful to have good problem-solving skills, experience organizing and analyzing data, and basic math skills. Experience with statistics can also be helpful but not required. And having prior experience using Jupyter Notebook can also be helpful since you'll likely use it to store and access code as you learn Python pandas.‎

    People who enjoy working with data or coding are well suited for roles in Python pandas, as are people who are analytical thinkers. Important soft skills for someone in a role that uses Python panda include good communication skills, both written and verbal as well as with visualization software; problem-solving skills to troubleshoot technical problems or data errors and collaborate with team members to solve a project issue; and attention to detail to pick out small clues that help draw meaningful conclusions from data.‎

    Learning Python pandas is likely right for you if you plan to enter or are already in the data science field, particularly in roles that require data analysis or software development. You can approach learning pandas in one of two ways: either learning how to access the pandas library without conducting data analysis or using pandas while conducting data analysis. The former is more basic and is for you if want to learn how to clean data, do basic data preprocessing, and handle numeric and text data with pandas. The latter is for you if you are learning data analysis and want to apply real-world exploratory data analysis techniques to advance your knowledge and skills.‎

    Online Python Pandas courses offer a convenient and flexible way to enhance your knowledge or learn new Python Pandas skills. Choose from a wide range of Python Pandas courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Python Pandas, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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