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    Python Courses Online

    Master Python for versatile programming. Learn Python syntax, data structures, and libraries for web development, data science, and automation.

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    Explore the Python Course Catalog

    • Status: New
      New
      U

      Universidades Anáhuac

      Deep Learning: Del Concepto a la Práctica

      Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Artificial Intelligence, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • M

      Meta

      المشروع المتقدم لمهندس قاعدة البيانات

      Skills you'll gain: MySQL Workbench, Database Development, Stored Procedure, Database Design, MySQL, Data Visualization Software, SQL, Database Application, Databases, Database Management, Relational Databases, Tableau Software, Data Modeling, Git (Version Control System), Transaction Processing, Version Control

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Complete SAS Guide - Learn SAS and Become a Data Ninja

      Skills you'll gain: SAS (Software), Data Import/Export, Predictive Modeling, Data Manipulation, Statistical Analysis, SQL, Feature Engineering, Data Analysis, R Programming, Data Cleansing, Regression Analysis, Software Installation, Statistical Hypothesis Testing, System Configuration

      Beginner · Course · 3 - 6 Months

    • Status: New
      New
      D

      Dartmouth College

      Predictive Analytics

      Skills you'll gain: Business Ethics, Predictive Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Regression Analysis, Python Programming, Cloud Computing, Data Quality, Performance Metric, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      D

      Dartmouth College

      Simulation for Digital Transformation

      Skills you'll gain: Simulation and Simulation Software, Business Transformation, Digital Transformation, Systems Thinking, Complex Problem Solving, Advanced Analytics, Operations Research, Predictive Analytics, Data-Driven Decision-Making, Verification And Validation, Process Optimization, Risk Management, Python Programming, Statistical Methods, Decision Making, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

      Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Extract, Transform, Load, Pandas (Python Package), Data Transformation, SQL, Jupyter, Google Cloud Platform, Development Environment, Cloud Storage

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Operationalizing ML Models: MLOps for Scalable AI

      Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Instructor Network

      Transforming Exploratory Data Analysis with AI

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, OpenAI, Data-Driven Decision-Making, Analytical Skills, Artificial Intelligence, Data Analysis, Prompt Engineering, Pandas (Python Package), Automation, Data Visualization Software, Descriptive Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      R

      Rutgers the State University of New Jersey

      Generative AI & Governmental Financial Reporting

      Skills you'll gain: Prompt Engineering, Scalability, Large Language Modeling, Governmental Accounting, Unstructured Data, Financial Data, Generative AI, Accounting, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Robotic Process Automation, Data Processing, Automation, Application Programming Interface (API), Decision Making, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      D

      Dartmouth College

      Prescriptive Analytics

      Skills you'll gain: Operations Research, Analytics, Business Analytics, Process Optimization, Digital Transformation, Predictive Analytics, Advanced Analytics, Data-Driven Decision-Making, Strategic Decision-Making, Business Mathematics, Data Science, Process Analysis, Complex Problem Solving, Python Programming, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

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

    • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
    • المشروع المتقدم لمهندس قاعدة البيانات: Meta
    • Complete SAS Guide - Learn SAS and Become a Data Ninja: Packt
    • Predictive Analytics: Dartmouth College
    • Simulation for Digital Transformation: Dartmouth College
    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
    • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
    • Transforming Exploratory Data Analysis with AI: Coursera Instructor Network
    • Generative AI & Governmental Financial Reporting: Rutgers the State University of New Jersey

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Python

    Knowing why you want to learn Python, be it for data analysis, web development, or automating tasks, can help you stay focused. Regular practice with Python solidifies your understanding and improves problem-solving skills. Engage with coding communities like Stack Overflow or Reddit’s r/learnpython for support and insights. Work on real projects such as developing small scripts or applications. Coursera’s Python for Everybody by the University of Michigan is an excellent place to start.‎

    Python courses on Coursera offer comprehensive range of skills that are crucial for many technical careers:

    • Basic syntax and fundamentals of Python programming
    • Application of Python in data analysis, web development, and machine learning
    • Writing and debugging Python scripts and programs
    • Data visualization with libraries like Matplotlib and Seaborn
    • Use of libraries and frameworks such as Pandas, Flask, and Django
    • Automation of common system administration tasks using Python‎

    Python courses on Coursera are accessible to learners with varying levels of experience:

    • Beginners can start with introductory courses that cover the basics of Python and programming concepts.
    • Intermediate learners can enhance their skills in specific applications like web development or data science.
    • Advanced programmers can explore in-depth topics such as algorithmic programming and complex data structures in Python.

    Test your Python skills with our Python Skill Assessment to gauge your proficiency and readiness for advanced topics.‎

    Coursera provides several credential options for learners who complete Python courses:

    • Professional certificates that validate your Python programming skills.
    • Specializations that go into detail in areas like artificial intelligence, cybersecurity, or big data.
    • Certificates that are recognized by industry leaders and can help pave the way for career advancement.‎

    Python is a versatile language that opens the door to numerous career paths:

    • Software Developer, creating applications and software solutions using Python.
    • Data Analyst, deriving insights from data sets with Python’s analytical tools.
    • Machine Learning Engineer, building and training models using Python’s machine learning libraries.
    • Web Developer, designing and maintaining websites with Python’s web frameworks.
    • Automation Engineer, implementing automation scripts that streamline business processes.‎

    Yes, Coursera offers a variety of free courses across many topics, including Python. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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