from45.86CAD/ h
Data Extraction with Python Course: From Beginner to Expert
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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
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
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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
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University of Haute AlsaceSchool 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 AlsaceSchool 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:
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Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -05:00) Chicago
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1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
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 |
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from C$45.86Online via webcam
100% Satisfaction Guarantee
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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
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Availability of a typical week
(GMT -05:00) Chicago
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
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0 | |||||||
1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
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 |
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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 |
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from C$45.86Online via webcam
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Target audience
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Benefits of this online course
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