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    Data Extraction with Python Course: From Beginner to Expert

    Translated by Google. Click to view original.
    This comprehensive course on data mining with Python will teach you how to collect, analyze and leverage data from different sources. Through practical examples and real-world projects, you'll learn how to use Python to automate data collection, extract relevant insights, and transform raw data into actionable insights.

    Write me description for apprentices website development course

    Here is a course description for Apprentices on website development. This description is designed to attract learners interested in learning how to create websites, by highlighting the skills they will learn and the benefits they will gain from it.

    Course Title: Website Development: From Beginner to Expert

    Description:

    Learn how to create professional websites with our comprehensive website development course, designed for learners of all levels. Whether you're a beginner looking to learn the basics or a developer looking to deepen your skills, this course will guide you through every step of the process of creating modern, interactive websites.

    Course content :

    Introduction to Web Development:

    Understand how the web works
    Introduction to HTML and CSS
    Creating your first web page
    Advanced CSS and Responsive Design:

    Layout with Flexbox and Grid
    Responsive site design for all devices
    Introduction to CSS preprocessors (Sass, LESS)
    JavaScript and Client-Side Programming:

    JavaScript Basics
    DOM manipulation
    Introduction to JavaScript libraries (jQuery, React)
    Server Side Development:

    Introduction to Node.js
    Creating a REST API
    Connection to a database (MongoDB, SQL)
    Modern Frameworks and Tools:

    Discovery of popular frameworks (Vue.js, Angular)
    Using package managers (npm, Yarn)
    Introduction to Git and GitHub for version management
    Security and Optimization of Websites:

    Essential web security practices
    Optimizing website performance
    SEO techniques for better SEO
    Final Project: Creation of a Complete Website:

    Planning and design of your project
    Development and launch of the site
    Review and continuous improvement
    Why Choose this Course?

    Hands-on Learning: Work on real-world projects to gain hands-on experience.
    Personalized Support: Receive personalized support from your instructor to progress at your own pace.
    Current Skills: Learn the latest and most in-demand technologies and tools on the market.
    Flexibility: Courses available online and in person, tailored to your schedule.
    Prerequisite:

    No prior knowledge is required, although basic familiarity with using a computer is recommended.

    Please let me know if you would like to customize this description further or if you have any specific items you would like to include!


    Course Data Extraction Course with Python
    Here is a course description for Learners on data extraction with Python. This course is designed to guide learners in learning basic and advanced data mining techniques, using the Python language, which is widely recognized for its power and ease of use.

    Course Title: Data Extraction with Python: From Beginner to Expert

    Description:

    This comprehensive course on data mining with Python will teach you how to collect, analyze and leverage data from different sources. Through practical examples and real-world projects, you'll learn how to use Python to automate data collection, extract relevant insights, and transform raw data into actionable insights.

    Course content :

    Introduction to Data Extraction:

    Concepts and Importance of Data Mining
    Overview of Python Libraries for Data Extraction
    Python Fundamentals:

    Basic syntax and data structures
    Introduction to modules and libraries
    Data Manipulation with Pandas:

    Loading, cleaning and transforming data
    Data analysis and descriptive statistics
    Web Scraping with Python:

    Using BeautifulSoup to extract data from web pages
    Automating scraping with Selenium
    Managing requests and web APIs with Requests
    Working with Structured Data:

    Extracting data from CSV, JSON, and XML files
    Connecting and extracting data from SQL databases
    Use of Unstructured Data:

    Text analysis and natural language processing (NLP)
    Extracting data from PDF files and other documents
    Advanced Extraction Techniques:

    Introduction to machine learning for data mining
    Using Libraries Like Scrapy for Complex Projects
    Final Project: Putting Data Extraction into Practice:

    Planning and Executing a Data Extraction Project
    Presentation and visualization of results
    Why Choose this Course?

    Practical Approach: Each lesson is accompanied by practical exercises to strengthen your skills.
    Python Expertise: Develop proficiency in Python, an essential language for data science.
    Concrete Projects: Work on projects that reflect real industry challenges.
    Flexibility: Courses available online or in person, depending on your convenience.

    Prerequisite:

    No prior programming knowledge is required. This course is open to beginners looking to enter the world of data mining.

    Location

    Online via webcam

    General info

    suitcase iconSkills:
    Age:
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    The class is taught in:French, Arabic, English

    About Me

    Translated by Google. Click to view original.
    Passionate about new technologies and innovation, I began my career after in-depth studies in Rabat and France, where I acquired solid training in management, communication and digital.
    I had the chance to work in Morocco and France, which allowed me to develop a global perspective and great adaptability.
    Key skills :

    Project Management: PMP certified, with expertise in the planning and execution of complex projects.
    Strategic Communication: Creation and implementation of targeted communication campaigns to achieve measurable results.
    Digital Transformation: Development and deployment of innovative digital solutions to meet the challenges of the public and private sector.

    Vision :
    I believe that technology and innovation are key drivers of progress, and I strive to use my skills to drive positive transformation in the organizations I work with. I'm always looking for new opportunities to learn and collaborate with other technology and innovation enthusiasts.

    Education

    Translated by Google. Click to view original.
    University of Haute Alsace
    School of Information Sciences
    PMP certificate
    University of Aix Marseille
    Computer scientist
    Documentalist
    Digitalist
    Communication Specialist

    Experience / Qualifications

    Translated by Google. Click to view original.
    University of Haute Alsace
    School of Information Sciences
    PMP certificate
    University of Aix Marseille
    Computer scientist
    Documentalist
    Digitalist
    Communication Specialist
    Learn how to create professional websites with our comprehensive website development course, designed for learners of all levels. Whether you're a beginner looking to learn the basics or a developer looking to deepen your skills, this course will guide you through every step of the process of creating modern, interactive websites. Why Choose this Course? Hands-on Learning: Work on real-world projects to gain hands-on experience. Personalized Support: Receive personalized support from your instructor to progress at your own pace. Current Skills: Learn the latest and most in-demand technologies and tools on the market. Flexibility: Courses available online and in person, tailored to your schedule. Prerequisite: No prior knowledge is required, although basic familiarity with using a computer is recommended.

    Ask a question

    Send a message explaining your needs and Ikram will reply soon:
    The more detail, the better.
    Ex. "Hi, when are you available to meet for a lesson?"

    Availability of a typical week

    (GMT -04:00) New York
    MonTueWedThuFriSatSun
    0              
    1              
    2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
    3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
    5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
    6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
    8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
    17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
    18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
    19              
    20              
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    23              
    from £24.04Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since August 2024
    • Phone number verified
    • Google connected
    • Linkedin connected

    Availability of a typical week

    (GMT -04:00) New York
    MonTueWedThuFriSatSun
    0              
    1              
    2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
    3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
    5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
    6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
    8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
    17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
    18  Monday at 18:00  Tuesday at 18:00  Wednesday at 18:00  Thursday at 18:00  Friday at 18:00  Saturday at 18:00  Sunday at 18:00
    19              
    20              
    21              
    22              
    23              
    from £24.04Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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