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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

      Text Generation with Cohere: Recognizing Similarities

      Skills you'll gain: Artificial Intelligence, Large Language Modeling, Text Mining, Generative AI, Natural Language Processing, Python Programming, Cloud API, Application Programming Interface (API), Scripting

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      ETL pipelines con Python: recopila datos de Spotify

      Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Jupyter, Virtual Environment

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

    • Status: New
      New
      U

      University of Colorado Boulder

      BiteSize Python for Absolute Beginners: Flow Controls

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Computational Logic, Debugging, Computational Thinking, Maintainability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Applied Generative AI & NLP with Python

      Skills you'll gain: Prompt Engineering, Natural Language Processing, Generative AI, Large Language Modeling, OpenAI, Text Mining, Artificial Intelligence, Python Programming, Feature Engineering, Data Processing, Deep Learning, Databases, Applied Machine Learning

      Intermediate · Course · 3 - 6 Months

    • P

      Packt

      Introduction to NLP and Syntactic Processing

      Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Unstructured Data, Markov Model, Python Programming, Feature Engineering, Algorithms, Machine Learning Methods, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      CASL Programming for Distributed Computing in SAS® Viya®

      Skills you'll gain: Data Manipulation, SAS (Software), Data Validation, Data Analysis, Data Access, Exploratory Data Analysis, Statistical Programming, Distributed Computing, Data Transformation, Cloud Computing Architecture, Data Import/Export, Servers

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      U

      Universidades Anáhuac

      Python de la A a la Z

      Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Computer Programming, Programming Principles, Algorithms, File Management, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Foundations of Data Structures and Algorithm Analysis

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Network Analysis, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Advanced Chatbots with Deep Learning and Python

      Skills you'll gain: Deep Learning, Python Programming, Keras (Neural Network Library), Tensorflow, System Implementation, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Natural Language Processing, Performance Testing

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Automatically Deploy Python Web Apps from Version Control to Cloud Run

      Skills you'll gain: Cloud Applications, Serverless Computing, Cloud Management, Cloud Development, Application Deployment, CI/CD, Continuous Deployment, Google Cloud Platform, Application Development

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Image Classification on Autopilot with AWS AutoGluon

      Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Predictive Modeling

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Text Generation with Cohere: Recognizing Similarities: Coursera Project Network
    • ETL pipelines con Python: recopila datos de Spotify: Coursera Project Network
    • Flask تعلم تصميم تطبيقات الويب باستخدام بايثون Ùˆ: Coursera Project Network
    • BiteSize Python for Absolute Beginners: Flow Controls: University of Colorado Boulder
    • Applied Generative AI & NLP with Python: Packt
    • Introduction to NLP and Syntactic Processing: Packt
    • CASL Programming for Distributed Computing in SAS® Viya®: SAS
    • Python de la A a la Z: Universidades Anáhuac
    • Foundations of Data Structures and Algorithm Analysis: Packt
    • Advanced Chatbots with Deep Learning and Python: Packt

    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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