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    • Python Pandas

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    147 results for "python pandas"

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      Coursera Project Network

      Mastering Data Analysis with Pandas

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming

      4.6

      (127 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Apache, Application Development, Big Data, Computer Programming Tools, Data Management, Programming Principles, Software Engineering, Software Engineering Tools

      4.5

      (105 reviews)

      Beginner · Course · 1-4 Weeks

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      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Analysis, Data Visualization, Plot (Graphics), Data Mining, Data Science

      4.6

      (306 reviews)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      Merge, Sort and Filter Data in Python Pandas

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming, Data Science

      4.5

      (106 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33.1k reviews)

      Intermediate · Specialization · 3-6 Months

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      Coursera Project Network

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

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming, Accounting, Leadership and Management

      4.8

      (13 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Basic Descriptive Statistics, Python Programming, Data Analysis, Data Structures, Data Mining, Exploratory Data Analysis, Statistical Analysis, Correlation And Dependence, Statistical Tests, Data Architecture, Estimation, General Statistics, Linear Algebra, Regression, Statistical Visualization, Computational Logic, Computer Programming, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Programming Principles, Statistical Programming, Theoretical Computer Science

      4.5

      (26.6k reviews)

      Intermediate · Course · 1-4 Weeks

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      IBM Skills Network

      Data Analysis with Python

      Skills you'll gain: Basic Descriptive Statistics, Data Analysis, Data Science, Python Programming, Applied Machine Learning, Data Mining, Data Structures, General Statistics, Machine Learning, Regression, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algebra, Business Analysis, Computer Programming, Computer Programming Tools, Correlation And Dependence, Econometrics, Mathematical Theory & Analysis, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Statistical Programming

      4.7

      (16.4k reviews)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Python for Data Analysis: Pandas & NumPy

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming, Data Science

      4.4

      (205 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 2

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming

      4.8

      (20 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Mastering Data Analysis with Pandas: Learning Path Part 3

      Skills you'll gain: Computer Programming, Data Analysis, Python Programming, Statistical Programming

      4.8

      (9 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Exploratory Data Analysis With Python and Pandas

      Skills you'll gain: Business Analysis, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, Plot (Graphics), Probability & Statistics, Python Programming, Statistical Programming

      4.5

      (356 reviews)

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to python pandas

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

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      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.‎

      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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