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Python

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Description

We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
  • and much, much more.
    Enroll in the course and become a data scientist today!

AED110.00

1 Week

Learn Python the smart way! From basics to advanced — master Python programming with tutorials, real-world projects, and expert guidance.

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Frequently Asked Questions

Its easy-to-learn syntax, making it beginner-friendly. A vast collection of libraries and frameworks for various applications. Its active community and extensive documentation.
Web development: Using frameworks like Django and Flask. Data analysis and visualization: With libraries like Pandas, NumPy, Matplotlib, and Seaborn. Machine learning and AI: Using TensorFlow, PyTorch, or Scikit-learn. Automation: For scripting and automating repetitive tasks. Game development: Using Pygame. Web scraping: With tools like BeautifulSoup and Scrapy.
Easy-to-learn and write. Platform-independent (cross-platform). Extensive library support. Open-source and free. Suitable for small and large projects. Supports multiple programming paradigms (object-oriented, procedural, functional).
Building websites and web apps (e.g., Instagram, Spotify). Analyzing large datasets in data science.
Install Python from python.org. Use an Integrated Development Environment (IDE) like PyCharm, VS Code, Jupyter Notebook, or even the default IDLE.
Basic concepts can be learned in a few weeks. Proficiency in specific domains (e.g., data science, web development) may take a few months, depending on your pace and practice.
Yes, Python is open-source and free for personal and commercial use.
Python is widely used in: Technology (Google, Netflix, Spotify) Healthcare (medical imaging, diagnostics) Finance (risk analysis, algorithmic trading) Education (teaching programming).
Python is simpler and more beginner-friendly compared to Java, C++, or JavaScript. It has a wide range of libraries that minimize the need for writing complex code. Python emphasizes readability and efficiency.
For data science: Pandas, NumPy, Matplotlib, Seaborn For machine learning: TensorFlow, PyTorch, Scikit-learn For web development: Django, Flask For web scraping: BeautifulSoup, Scrapy For automation: Selenium, PyAutoGUI
Yes, but Python is not the primary choice for mobile app development. Tools like Kivy and BeeWare can be used to create Python-based mobile apps.
Clean and readable syntax. Large community and resources. Extensive libraries for diverse use cases. Platform-independent, allowing you to write once and run anywhere.
Yes! Python has libraries like Pygame that allow you to develop 2D games. However, for high-performance 3D games, other languages like C++ are often preferred.
Work on small projects like calculators, to-do apps, or games. Participate in coding challenges on platforms like HackerRank, LeetCode, or Codewars. Contribute to open-source projects.
Python offers powerful libraries like Matplotlib, Seaborn, and Plotly to create detailed and interactive visualizations, making it popular in data science.