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    • Advanced Python
    Related topics:고급 알고리즘Kalman 필터고급 기계 학습고급 통계알고리즘 트레이딩데이터

    필터링 기준

    "advanced python"에 대한 104개의 결과

    • Infosec

      Infosec

      Advanced Python - Reconnaissance

      획득할 기술: Python Programming, Computer Programming, Statistical Programming

      4.1

      (11개의 검토)

      Mixed · Course · 1-4 Weeks

    • Infosec

      Infosec

      Advanced Python Scripting for Cybersecurity

      획득할 기술: Computer Programming, Python Programming, Statistical Programming

      4.2

      (12개의 검토)

      Beginner · Specialization · 1-3 Months

    • New York Institute of Finance

      New York Institute of Finance

      Machine Learning for Trading

      획득할 기술: Accounting, Artificial Neural Networks, Business Analysis, Cloud Computing, Computer Programming, Data Analysis, Finance, Financial Analysis, General Statistics, Investment Management, Machine Learning, Mathematics, Probability & Statistics, Python Programming, Reinforcement Learning, Statistical Programming, Trading

      3.9

      (930개의 검토)

      Intermediate · Specialization · 1-3 Months

    • Google Cloud

      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      획득할 기술: Probability & Statistics, Machine Learning, Investment Management, Finance, Cloud Computing, Trading

      4.0

      (712개의 검토)

      Intermediate · Course · 1-4 Weeks

    • New York Institute of Finance

      New York Institute of Finance

      Using Machine Learning in Trading and Finance

      획득할 기술: Machine Learning, Accounting, Business Analysis, Investment Management, Financial Analysis, Finance, Trading, Data Analysis

      4.0

      (293개의 검토)

      Intermediate · Course · 1-3 Months

    • New York Institute of Finance

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      획득할 기술: Probability & Statistics, Mathematics, Computer Programming, General Statistics, Statistical Programming, Artificial Neural Networks, Machine Learning, Python Programming, Finance, Reinforcement Learning, Cloud Computing

      3.7

      (190개의 검토)

      Intermediate · Course · 1-4 Weeks

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      EDHEC Business School

      EDHEC Business School

      Advanced Portfolio Construction and Analysis with Python

      획득할 기술: Computer Programming, Probability & Statistics, Mathematics, Accounting, Investment Management, Business Analysis, Python Programming, Statistical Programming, Data Analysis, Financial Analysis, Finance, Risk Management

      4.7

      (426개의 검토)

      Intermediate · Course · 1-4 Weeks

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      Google Cloud

      Google Cloud

      Advanced Machine Learning on Google Cloud

      획득할 기술: Apache, Applied Machine Learning, Artificial Neural Networks, Business Psychology, Cloud Computing, Computational Thinking, Computer Architecture, Computer Programming, Computer Vision, Data Analysis, Data Management, Deep Learning, Distributed Computing Architecture, Entrepreneurship, General Statistics, Google Cloud Platform, Hardware Design, Linear Algebra, Machine Learning, Mathematics, Natural Language Processing, Performance Management, Probability & Statistics, Python Programming, Recommender Systems, Software Architecture, Software Engineering, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.4

      (2.2k개의 검토)

      Advanced · Specialization · 3+ Months

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      University of Michigan

      University of Michigan

      Programming for Everybody (Getting Started with Python)

      획득할 기술: Statistical Programming, Python Programming, Computer Programming, Semantics, Syntax, Programming Principles

      4.8

      (209k개의 검토)

      Mixed · Course · 1-3 Months

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      Meta

      Meta

      Database Clients

      Beginner · Course

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      IBM

      IBM

      Data Science Fundamentals with Python and SQL

      획득할 기술: Basic Descriptive Statistics, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Visualization, Database Administration, Database Application, Databases, Extract, Transform, Load, General Statistics, Machine Learning, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Python Programming, R Programming, SPSS, SQL, Statistical Hypothesis Testing, Statistical Programming, Theoretical Computer Science

      4.5

      (45.5k개의 검토)

      Beginner · Specialization · 3+ Months

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      Google

      Google

      Google IT Automation with Python

      획득할 기술: Application Development, Bash (Unix Shell), Cloud Computing, Cloud Platforms, Computational Thinking, Computer Programming, Data Structures, Debugging, Github, Google Cloud Platform, Other Programming Languages, Programming Principles, Python Programming, Software Engineering, Software Engineering Tools, Software Testing, Statistical Programming, Theoretical Computer Science, Troubleshooting, Unix Shells

      4.7

      (29.8k개의 검토)

      Beginner · Professional Certificate · 3+ Months

    advanced python과(와) 관련된 검색

    advanced python scripting for cybersecurity
    advanced python - reconnaissance
    advanced portfolio construction and analysis with python
    1234…9

    요약하자면, 여기에 가장 인기 있는 advanced python 강좌 10개가 있습니다.

    • Advanced Python - Reconnaissance: Infosec
    • Advanced Python Scripting for Cybersecurity: Infosec
    • Machine Learning for Trading: New York Institute of Finance
    • Introduction to Trading, Machine Learning & GCP: Google Cloud
    • Using Machine Learning in Trading and Finance: New York Institute of Finance
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Programming for Everybody (Getting Started with Python): University of Michigan
    • Database Clients: Meta

    Data Analysis에서 학습할 수 있는 스킬

    분석 (85)
    빅 데이터 (64)
    Python 프로그래밍 (47)
    비즈니스 분석 (40)
    R 프로그래밍 (37)
    통계 분석 (36)
    SQL (33)
    데이터 모델 (29)
    데이터 마이닝 (27)
    탐구 데이터 분석 (26)
    데이터 모델링 (21)
    데이터 조작 (20)

    Advanced Python에 대한 자주 묻는 질문

    • Python is a programming language known for its code readability and use of whitespace for user-friendly design, making it easier to use the purpose of coding. Its approach aims to help programmers write clear, logical code for large-scale projects. When used for advanced concepts, learners can gain skills in Alexa Python Development, implementing an interface, and more.

      Python is appreciated for its versatility, flexibility, and object-oriented features. Its ability to do both complex tasks and provide an easy-to-use experience makes it important to learn for Developers, Data Scientists, and other web-based professionals.‎

    • Development and Data Science positions are growing exponentially across a variety of industries, and according to Dice, having a strong understanding of Python is half the battle. Learners interested in advancing their Python know-how will reap the benefits: in the U.S., the average Data Scientist with Python skills earns $97,663, while Software Developers with Python skills earn an average of $79,629.

      By exploring Advanced Python, learners increase their potential to enjoy opportunities as Researchers, Data Scientists, Roboticists, Analysts, Threat Intelligence Specialists, Software Engineers, Python Trainers, and others that are related.‎

    • Through Coursera, Advanced Python is covered in various courses. These courses focus on learning how to apply mathematical theory and decision-making techniques to business problems. Learners experience graded instructor feedback and live sessions with groups of high-caliber peers.

      Lessons on Advanced Python are taught by instructors from major organizations such as IBM, EDHEC Business School, University of Michigan, and other institutions. Learners can enjoy exploring Advanced Python with instructors specializing in Statistics, Social Research, Finance, and other disciplines. Course content is delivered via video lectures, readings, quizzes, hands-on projects, and other types of assignments.‎

    • The skills or experience that you might need to already have before starting to learn advanced Python may include a strong sense of coding, data analysis, and knowing the basics of the main Python programming language. Python is mainly used as a scripting language, in tasks like automated memory maintenance, for developing multiple programming paradigms, and for use in concepts of object-oriented programming. In using Python, you might be able to explore and find advanced features that can turn complex programming tasks into easier ones. One example is using the method of comprehension technique, which helps Python programmers to create lists, dictionaries, or sets using an existing iterable. When you know Python well, you may be able to move forward in learning advanced Python.‎

    • The kind of people best suited for work that involves advanced Python are often computer programmers who already have strong experience in using Python. These programmers have used Python to develop software and use it as a support language for build control, continuous compilation and testing, and data management. These kinds of people may be key developers in using Python to build business applications like e-commerce systems and enterprise resource planning software. These data junkies love to analyze functions and sets and can manage the testing and validation data points. Advanced Python is used in machine learning as well, so these programmers use advanced Python to create and evaluate data clusters. As a result, these programmers are often on the latest edge of technology being used in business and society.‎

    • You might find that learning advanced Python appeals to you if you want to excel in learning data sets and succeeding in a high-demand computer programming field. Python is recognized as one of the top coding languages in recent years, and is used by many companies and individuals. Naturally, there's a high demand for advanced Python developers with good experience. If you want to ramp up your coding knowledge to advance to a larger data engineering role, then learning advanced Python skills is a smart move that could move you ahead in your pursuits.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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