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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

    • C

      Coursera Project Network

      Naive Bayes 101: Resume Selection with Machine Learning

      Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      C

      Codio

      Select Topics in Python: Packaging

      Skills you'll gain: Package and Software Management, Platform As A Service (PaaS), Development Environment, Virtual Environment, Dependency Analysis, Python Programming, Program Development, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Interpretable Machine Learning

      Skills you'll gain: Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Automation for Everyone: Tech Benefits Unleashed

      Skills you'll gain: Automation, Business Process Automation, Python Programming, Productivity Software, Process Optimization, Digital Transformation, Internet Of Things, Artificial Intelligence, Innovation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Web Development in Flask: Build Your First Website

      Skills you'll gain: Flask (Web Framework), User Accounts, Web Development, Web Applications, HTML and CSS, Authentications, Cascading Style Sheets (CSS), Database Development, Database Management

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Understanding and Visualization

      Skills you'll gain: Matplotlib, Seaborn, Data Visualization, Data-Driven Decision-Making, Exploratory Data Analysis, Data Presentation, Plot (Graphics), Data Visualization Software, Descriptive Statistics, Data Storytelling, Pandas (Python Package), Statistical Methods, Data Analysis, Statistics, Statistical Analysis, Data Manipulation, Box Plots, Scatter Plots, Correlation Analysis, Histogram

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Cisco CCNP Data Center DCCOR (350-601)

      Skills you'll gain: Data Centers, Ansible, Open Shortest Path First (OSPF), Network Switches, Computing Platforms, Virtual Local Area Network (VLAN), Network Infrastructure, Border Gateway Protocol, Cloud Infrastructure, Data Storage, Network Routing, Network Administration, Infrastructure Security, Virtualization, Data Storage Technologies, Automation, System Configuration

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Estruturas de dados Python

      Skills you'll gain: Data Structures, Data Import/Export, Data Analysis Software, Data Manipulation, Python Programming, File Management, Development Environment, Software Installation, Browser Compatibility

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Building Objects in C

      Skills you'll gain: C++ (Programming Language), C (Programming Language), Object Oriented Programming (OOP), Data Structures, Computer Programming, Software Design, Python Programming, Java, Algorithms, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Advanced Smart Contract Development

      Skills you'll gain: Blockchain, Authorization (Computing), Role-Based Access Control (RBAC), Authentications, Application Security, Programming Principles, Transaction Processing, Cryptography, Software Development, JSON, Development Testing, Software Architecture, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Neural Networks and Random Forests

      Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Regression Analysis, Machine Learning, Python Programming, Network Architecture

      2.9
      Rating, 2.9 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization with OpenAI API: Generate code with GenAI

      Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization Software, OpenAI, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Naive Bayes 101: Resume Selection with Machine Learning: Coursera Project Network
    • Select Topics in Python: Packaging: Codio
    • Interpretable Machine Learning: Duke University
    • Automation for Everyone: Tech Benefits Unleashed: Coursera Instructor Network
    • Web Development in Flask: Build Your First Website: Coursera Project Network
    • Data Understanding and Visualization: University of Colorado Boulder
    • Cisco CCNP Data Center DCCOR (350-601): Packt
    • Estruturas de dados Python: University of Michigan
    • Building Objects in C: University of Michigan
    • Advanced Smart Contract Development: EDUCBA

    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 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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