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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
      M

      Meta

      Introduction to Data Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Data Validation, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      858 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Modeling in Power BI

      Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      699 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Sustainability

      Skills you'll gain: Environmental Policy, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Socioeconomics, Policy Analysis, Natural Resource Management, Systems Thinking, Social Sciences, Trend Analysis, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM AI Product Manager

      Skills you'll gain: Prompt Engineering, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Product Development, Innovation, Product Roadmaps, Large Language Modeling, Product Planning, ChatGPT, Commercialization, Artificial Intelligence, Product Strategy, Project Management Life Cycle, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Stakeholder Engagement, Stakeholder Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      K

      KodeKloud

      Python for the Absolute Beginner

      Skills you'll gain: Python Programming, Programming Principles, Data Structures, Debugging, Computer Programming, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Getting Started with Microsoft Excel

      Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Productivity Software, Microsoft 365

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Application Development, Artificial Intelligence, Google Cloud Platform, Machine Learning Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      374 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Amsterdam

      Introduction to Communication Science

      Skills you'll gain: Culture, Interpersonal Communications, Media and Communications, Liberal Arts, Social Studies, Research, Ancient History, Anthropology, European History, Qualitative Research, Research Methodologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Georgia Institute of Technology

      Material Processing

      Skills you'll gain: Chemistry, Chemical Engineering, Manufacturing Processes, Mechanical Engineering, Engineering, Process Engineering, Physical Science, Semiconductors

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Human Resource Management: HR for People Managers

      Skills you'll gain: Performance Management, Performance Appraisal, Employee Performance Management, Compensation Management, Compensation Strategy, Compensation and Benefits, Constructive Feedback, Workforce Planning, Human Resource Strategy, Human Resources, Employee Onboarding, Recruitment, Recruitment Strategies, Human Capital, Compensation Analysis, Talent Acquisition, Human Resources Management and Planning, People Management, Job Analysis, Payroll

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

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    1…242526…834

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

    • Introduction to Data Analytics: Meta
    • Data Modeling in Power BI: Microsoft
    • Meta Marketing Analytics: Meta
    • Introduction to Sustainability: University of Illinois Urbana-Champaign
    • IBM AI Product Manager: IBM
    • Python for the Absolute Beginner: KodeKloud
    • Getting Started with Microsoft Excel: Coursera Project Network
    • Introduction to Generative AI : Google Cloud
    • Introduction to Data Engineering: DeepLearning.AI
    • Introduction to Communication Science: University of Amsterdam

    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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