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    • Python Pandas

    篩選依據

    ''python pandas'的 88 個結果

    • University of Michigan

      University of Michigan

      Applied Data Science with Python

      您將獲得的技能: Algorithms, Analysis, Applied Machine Learning, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Mining, Data Visualization, Econometrics, Extract, Transform, Load, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Mathematical Theory & Analysis, Mathematics, Matplotlib, Natural Language Processing, Network Analysis, Probability & Statistics, Programming Principles, Python Programming, Regression, Social Network, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.5

      (31.8k 條評論)

      Intermediate · Specialization · 3+ Months

    • Coursera Project Network

      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      您將獲得的技能: Data Analysis, Statistical Programming, Computer Programming, Big Data, Python Programming, Data Management

      4.4

      (134 條評論)

      Beginner · Rhyme Project · Less Than 2 Hours

    • Codio

      Codio

      Data Analysis in Python with pandas & matplotlib in Spyder

      您將獲得的技能: Statistical Programming, Computer Programming, Python Programming

      2.9

      (10 條評論)

      Beginner · Course · 1-3 Months

    • 免費

      The Hong Kong University of Science and Technology

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      您將獲得的技能: Data Analysis, Statistical Programming, Business Analysis, General Statistics, Analysis, Python Programming, Computer Programming, Probability Distribution, Accounting, Finance, Probability & Statistics

      4.4

      (3.1k 條評論)

      Intermediate · Course · 1-4 Weeks

    • Coursera Project Network

      Coursera Project Network

      Master Data Analysis with Pandas: Learning Path 1 (Enhanced)

      Beginner · Rhyme Project · Less Than 2 Hours

    • Duke University

      Duke University

      Python and Pandas for Data Engineering

      您將獲得的技能: Statistical Programming, Python Programming, Computer Programming

      3.8

      (16 條評論)

      Beginner · Course · 1-4 Weeks

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      University of Illinois at Urbana-Champaign

      University of Illinois at Urbana-Champaign

      Accounting Data Analytics with Python

      您將獲得的技能: Statistical Programming, Analysis, Business Analysis, Data Analysis, Operating Systems, Python Programming, Accounting, Theoretical Computer Science, Computer Programming, Data Management, Probability & Statistics, Databases, Analytics, Systems Design

      4.2

      (63 條評論)

      Intermediate · Course · 1-3 Months

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      Coursera Project Network

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 3

      您將獲得的技能: Statistical Programming, Python Programming, Pandas, Computer Programming

      4.7

      (6 條評論)

      Beginner · Rhyme Project · Less Than 2 Hours

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      Coursera Project Network

      Coursera Project Network

      Mastering Data Analysis with Pandas

      您將獲得的技能: Statistical Programming, Python Programming, Computer Programming

      4.6

      (18 條評論)

      Beginner · Rhyme Project · Less Than 2 Hours

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      Coursera Project Network

      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 2

      您將獲得的技能: Computer Programming, Statistical Programming, Pandas

      4.5

      (11 條評論)

      Beginner · Rhyme Project · Less Than 2 Hours

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      University of Pennsylvania

      University of Pennsylvania

      Data Analysis Using Python

      您將獲得的技能: Analysis, Computer Programming, Statistical Programming, Data Analysis, Python Programming, Mathematics, Pandas

      4.6

      (200 條評論)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      您將獲得的技能: Statistical Programming, Data Visualization, Web, Web Application, Computer Programming, Python Programming, Probability & Statistics, Applied Machine Learning, Machine Learning, Web Development, Regression

      4.7

      (356 條評論)

      Intermediate · Rhyme Project · Less Than 2 Hours

    與 python pandas 相關的搜索

    merge, sort and filter data in python pandas
    python and pandas for data engineering
    data analysis in python with pandas & matplotlib in spyder
    exploratory data analysis with python and pandas
    análisis exploratorio de datos con python y pandas
    covid-19 : les séries temporelles avec python et pandas
    python for data analysis: pandas & numpy
    1234…8

    總之,這是我們最受歡迎的 python pandas 門課程中的 10 門

    • Applied Data Science with Python: University of Michigan
    • Python for Data Analysis: Pandas & NumPy: Coursera Project Network
    • Data Analysis in Python with pandas & matplotlib in Spyder: Codio
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera Project Network
    • Python and Pandas for Data Engineering: Duke University
    • Accounting Data Analytics with Python: University of Illinois at Urbana-Champaign
    • Mastering Data Analysis with Pandas: Learning Path Part 3: Coursera Project Network
    • Mastering Data Analysis with Pandas: Coursera Project Network
    • Mastering Data Analysis with Pandas: Learning Path Part 2: Coursera Project Network

    您可以在 Data Analysis 中學到的技能

    分析 (85)
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    SQL (33)
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    關於 Python Pandas 的常見問題

    • 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.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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