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    • Python For Data Science

    Python for Data Science Courses Online

    Learn Python for data science to analyze, visualize, and model data. Understand Python libraries like Pandas, NumPy, and Matplotlib.

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    Explore the Python for Data Science Course Catalog

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Sistemas e Tecnologias Digitais nas Organizações

      Skills you'll gain: Digital Transformation, Mobile Banking, Social Media, E-Commerce, Organizational Development, Business Modeling, Business Technologies, Business Communication, Systems Integration, Emerging Technologies, Information Systems, Enterprise Resource Planning, Internet Of Things

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Learn CSS Variables

      Skills you'll gain: Cascading Style Sheets (CSS), HTML and CSS, Front-End Web Development, Javascript, Responsive Web Design, Web Design and Development, Maintainability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Responding, Revising and Assessing Student Writings

      Skills you'll gain: Editing, Student-Centred Learning, Student Engagement, Instructional Strategies, Peer Review, Writing, Differentiated Instruction

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Piano Sonata: Beethoven and the Romantics

      Skills you'll gain: Music Theory, Classical Music, Music History, Musical Composition, Instrumental Music, Music, Music Performance

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • B

      Board Infinity

      The Rise of Generative AI

      Skills you'll gain: Generative AI, Artificial Neural Networks, Artificial Intelligence, Deep Learning, Large Language Modeling, Machine Learning, Emerging Technologies, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      How to create business cards using Adobe Photoshop

      Skills you'll gain: Adobe Photoshop, Color Theory, Adobe Creative Cloud, Graphic and Visual Design, Typography, Design Elements And Principles, File Management

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Quality Assurance, Random Forest Algorithm

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      ELL Success in the Content Classroom: Capstone Project

      Skills you'll gain: Lesson Planning, Differentiated Instruction, Instructional Strategies, Curriculum Planning, Peer Review, Instructional Design, Developing Training Materials, Student Engagement, Community Outreach, Parent Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Salesforce Introduction and Setup

      Skills you'll gain: Salesforce, Data Modeling, Data Management, Database Design, Customer Relationship Management, User Accounts, System Configuration, User Experience

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Construction Management Field Operations and Admin Tools

      Skills you'll gain: Construction Management, Construction Estimating, Project Controls, Construction, Project Schedules, Cost Estimation, Timelines, Scheduling, Administration, Change Orders, Project Management, Cost Control, Arbitration, Project Planning, Occupational Safety And Health, Project Documentation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      How to Create and Explore a Data Set

      Skills you'll gain: Data Visualization, Plot (Graphics), Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Comic Books, Geek Culture, and the Fandom Imaginary

      Skills you'll gain: Diversity Awareness, Cultural Diversity, Community Development, Liberal Arts, Culture, Digital Publishing, Content Creation, Media and Communications, Storytelling, Creativity

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…830831832…834

    In summary, here are 10 of our most popular python for data science courses

    • Sistemas e Tecnologias Digitais nas Organizações: Fundação Instituto de Administração
    • Learn CSS Variables: Scrimba
    • Responding, Revising and Assessing Student Writings: Johns Hopkins University
    • The Piano Sonata: Beethoven and the Romantics: University of Michigan
    • The Rise of Generative AI: Board Infinity
    • How to create business cards using Adobe Photoshop: Coursera Project Network
    • Complete Visual Guide to Machine Learning: Maven Analytics
    • ELL Success in the Content Classroom: Capstone Project: Arizona State University
    • Salesforce Introduction and Setup: LearnKartS
    • Construction Management Field Operations and Admin Tools: University of Maryland, College Park

    Frequently Asked Questions about Python For Data Science

    Python is an open-source programming language used in data science that's noted for its beginner-friendly language and versatility. This popular coding language integrates well with multiple software components and works across multiple platforms, such as Windows, Mac, and Linux. It also has an impressive community of support and libraries available for programmers. The programming language has a strong following, with 8.2 million developers around the world, according to ZDNet.‎

    Learning Python for data science can be beneficial because it’s used in many data science applications. The program is popular because it tends to be easy to learn, and the simplicity of the language makes it possible to write code faster and with fewer lines than you need to use in other coding languages. When you learn Python, you may develop a deeper understanding of the methodologies used to collect and analyze data, which can lead to additional interests and career opportunities.‎

    Typical data science careers that use Python are data analysts, software engineers, developers, and network engineers. However, you don’t have to be a coder or developer to benefit from learning Python. Understanding Python can be beneficial to a variety of individuals who work with data, including mathematicians, researchers, accountants, marketers, and product managers.‎

    Through online courses, you can learn the fundamentals of Python and its applications in the field of data science. Some courses show you how to write code in Python, and others explore how to use the language Python to mine data faster and create data visualizations. Lessons may cover topics like Python Extension Libraries, data manipulation in Python, and model development.‎

    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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