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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

    • I

      Imperial College London

      Creative Thinking: Techniques and Tools for Success

      Skills you'll gain: Creative Thinking, Brainstorming, Creative Problem-Solving, Ideation, Creativity, Innovation, Curiosity, Critical Thinking, Problem Solving, Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Build Wireframes and Low-Fidelity Prototypes

      Skills you'll gain: Storyboarding, Wireframing, Figma (Design Software), Information Architecture, User Story, User Experience Design, User Centered Design, Prototyping, Usability, User Interface and User Experience (UI/UX) Design, Mockups, User Flows

      4.9
      Rating, 4.9 out of 5 stars
      ·
      9.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      English for Effective Business Speaking

      Skills you'll gain: Sales Presentation, Interviewing Skills, Oral Expression, English Language, Business Communication, Presentations, Verbal Communication Skills, Business Writing, Grammar, Persuasive Communication, Communication, Public Speaking, Target Audience, Vocabulary, Professionalism, Communication Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      695 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Scientific Methods, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Research, Sampling (Statistics), Probability Distribution, Correlation Analysis, Research Design, Research Reports, Science and Research, Interviewing Skills, Data Analysis, Probability, Data Collection, Statistical Inference, Social Sciences, Statistical Methods, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Y

      Yonsei University

      Wireless Communications for Everybody

      Skills you'll gain: Wireless Networks, Telecommunications, Network Architecture, Digital Communications, Network Planning And Design, Network Protocols, Capacity Management, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Marketing

      Skills you'll gain: Go To Market Strategy, Branding, Consumer Behaviour, Strategic Marketing, Marketing, Brand Strategy, Communication Strategies, Marketing Strategy and Techniques, Marketing Communications, Brand Loyalty, Customer experience strategy (CX), Customer Insights, Brand Awareness, Price Negotiation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13K reviews

      Mixed · Course · 1 - 3 Months

    • P

      Peking University

      More Chinese for Beginners

      Skills you'll gain: Oral Comprehension, English Language, Language Competency, Interpersonal Communications, Language Learning, Vocabulary, Culture, Cultural Sensitivity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Concepts in Python: Loops, Functions and Returns

      Skills you'll gain: Computational Thinking, Python Programming, Scripting, Maintainability, Programming Principles, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      114 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science Capstone

      Skills you'll gain: Plotly, Exploratory Data Analysis, Predictive Modeling, Data Science, Data-Driven Decision-Making, Data Presentation, Data Analysis, Pandas (Python Package), Web Scraping, Statistical Modeling, Data Wrangling, Machine Learning Methods, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with R

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Transformation, R Programming, Data Manipulation, Data Visualization, Box Plots, Predictive Analytics, Statistical Analysis, Regression Analysis, Statistical Modeling, Correlation Analysis, Data Cleansing, Tidyverse (R Package), Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      335 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      AWS Cloud Technology Consultant

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Cloud Solutions Architect

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Storage, Data Architecture, API Gateway, Data Infrastructure, AWS CloudFormation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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    1…464748…834

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

    • Creative Thinking: Techniques and Tools for Success: Imperial College London
    • Build Wireframes and Low-Fidelity Prototypes: Google
    • English for Effective Business Speaking: The Hong Kong University of Science and Technology
    • Methods and Statistics in Social Sciences: University of Amsterdam
    • Wireless Communications for Everybody: Yonsei University
    • Introduction to Marketing: University of Pennsylvania
    • More Chinese for Beginners: Peking University
    • Concepts in Python: Loops, Functions and Returns: Coursera Project Network
    • Applied Data Science Capstone: IBM
    • Data Analysis with R: IBM

    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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