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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

    • P

      Packt

      Deep Neural Network for Beginners Using Python

      Skills you'll gain: Deep Learning, Data Processing, Artificial Neural Networks, Feature Engineering, Data Cleansing, Python Programming, Network Architecture, Machine Learning Algorithms, NumPy, Regression Analysis, Supervised Learning, Performance Tuning

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create C# App Inheritance, Composition, and Aggregation

      Skills you'll gain: Object Oriented Programming (OOP), C# (Programming Language), Object Oriented Design, Application Development, Data Structures

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Crea Diseños de Marketing en Redes Sociales con Canva

      Skills you'll gain: Canva (Software), Animations, Photo Editing, Marketing Design, Social Media Content, Graphic Design, Editing, Digital Design, Design Elements And Principles, Graphic and Visual Design, Social Media Marketing, Typography, Writing and Editing

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • Status: Free Trial
      Free Trial
      P

      Packt

      Security Architecture and Engineering

      Skills you'll gain: IT Security Architecture, Security Controls, Cryptography, Security Engineering, Application Security, Vulnerability Assessments, Information Systems Security, Encryption, Cybersecurity, Infrastructure Security, Computer Security, Threat Modeling, Network Security, Public Key Infrastructure, Authentications, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

    • H

      Hebrew University of Jerusalem

      Sex from Molecules to Elephants

      Skills you'll gain: Biology, Life Sciences, Molecular Biology, Sociology, Anatomy, Anthropology, Environmental Science, Taxonomy, Microbiology, Human Development

      Beginner · Course · 1 - 3 Months

    • 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
      Free
      C

      Coursera Project Network

      Support Interactive Learning with Genially

      Skills you'll gain: Education Software and Technology, End User Training and Support, Virtual Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Mastering AI: Neural Nets, Vision System, Speech Recognition

      Skills you'll gain: Computer Vision, Deep Learning, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Matplotlib, Probability & Statistics, Image Analysis, Regression Analysis, Machine Learning, Plotly, Scikit Learn (Machine Learning Library), Statistical Analysis, Statistical Methods, Natural Language Processing, Artificial Neural Networks, Visualization (Computer Graphics), Artificial Intelligence

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Capstone Project: Teaching Impacts of Technology

      Skills you'll gain: Education and Training, Technical Communication, Teaching, Diversity Equity and Inclusion Initiatives, Computational Thinking, Computer Science, Innovation, Technical Writing

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Intro to Strategic Management for Healthcare Organizations

      Skills you'll gain: Customer Analysis, Business Strategy, Competitive Analysis, Organizational Strategy, Strategic Decision-Making, Healthcare Industry Knowledge, Market Analysis, Operational Analysis, Business, Company, Product, and Service Knowledge, Environmental Management Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Deep Neural Network for Beginners Using Python: Packt
    • Create C# App Inheritance, Composition, and Aggregation: Coursera Project Network
    • Crea Diseños de Marketing en Redes Sociales con Canva: Coursera Project Network
    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network
    • Security Architecture and Engineering: Packt
    • Sex from Molecules to Elephants: Hebrew University of Jerusalem
    • Choosing an Objective for a Facebook Ad Campaign: Coursera Project Network
    • Support Interactive Learning with Genially: Coursera Project Network
    • Growing your Influence: Coursera Instructor Network
    • Mastering AI: Neural Nets, Vision System, Speech Recognition: Edureka

    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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