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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
      Free
      C

      Coursera Project Network

      Create an Organizational Company Chart with Canva

      Skills you'll gain: Marketing Design, Organizational Structure, Marketing Collateral, Presentations, Dashboard, User Accounts

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Project Network

      Program Communications Planning in ClickUp

      Skills you'll gain: Program Management, Communication Planning, Project Documentation, Project Management Software, Workflow Management, Process Flow Diagrams, Program Development, Agile Methodology, Strategic Communication

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Data Structures Using Python - An Introduction

      Skills you'll gain: Data Structures, Graph Theory, Network Model, Python Programming, Algorithms, Debugging, Object Oriented Programming (OOP)

      Intermediate · Course · 1 - 3 Months

    • S

      SAS

      머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

      Skills you'll gain: Machine Learning, Data Ethics, Predictive Modeling, Technical Communication, Predictive Analytics, Supervised Learning, Analytical Skills, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Regression Analysis, Data Validation, Statistical Analysis, Data Visualization, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Healthcare Financial Management Fundamentals

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Balance Sheet, Financial Analysis, Income Statement, Budgeting, Financial Management, Financial Planning, Health Care Administration, Financial Forecasting, Loans, Key Performance Indicators (KPIs), Capital Markets

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Preparing for Your Associate Cloud Engineer Journey 日本語版

      Skills you'll gain: Google Cloud Platform, Cloud Solutions, Identity and Access Management, Cloud Computing, Cloud Engineering, Cloud Infrastructure, Cloud Applications, Cloud Storage

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Instructor Network

      Growing your Influence

      Skills you'll gain: Thought Leadership, Influencing, Communication, Self-Awareness, Lifelong Learning, Professional Networking, Leadership, Professional Development, LinkedIn, Personal Development, Emotional Intelligence, Branding, Growth Mindedness, Social Media Strategy, Adaptability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Choosing an Objective for a Facebook Ad Campaign

      Skills you'll gain: Facebook, Advertising Campaigns, Lead Generation, Social Media, Social Media Marketing, Digital Advertising, Campaign Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Teaching Impacts of Technology: Relationships

      Skills you'll gain: Student Engagement, Algorithms, Diversity Awareness, Pedagogy, Facebook, Instructional Strategies, Programming Principles, Student-Centred Learning, Teaching, Data Storage, Education and Training, Software Engineering, Geographic Information Systems, Image Analysis, Classroom Management, Lesson Planning, Computer Science, Theoretical Computer Science, Computational Thinking, Computer Graphics

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Creating Azure Serverless Functions in a Real-World Scenario

      Skills you'll gain: Serverless Computing, Microsoft Azure, Microservices, NoSQL, Cloud Computing Architecture, Front-End Web Development, Cloud Development, Hypertext Markup Language (HTML), Platform As A Service (PaaS), Software Development, Microsoft Visual Studio

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Apache Kafka - An Introduction

      Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Data Processing, System Monitoring, Scalability, Performance Tuning, Configuration Management

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Create an Organizational Company Chart with Canva: Coursera Project Network
    • Program Communications Planning in ClickUp: Coursera Project Network
    • Data Structures Using Python - An Introduction: Packt
    • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
    • Healthcare Financial Management Fundamentals: Northeastern University
    • Preparing for Your Associate Cloud Engineer Journey 日本語版: Google Cloud
    • Growing your Influence: Coursera Instructor Network
    • Choosing an Objective for a Facebook Ad Campaign: Coursera Project Network
    • Teaching Impacts of Technology: Relationships: University of California San Diego
    • Creating Azure Serverless Functions in a Real-World Scenario: Coursera Project Network

    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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