Data Science

Data Science

Real-world projects

  • Implement your Python skills in practical, industry-level projects.
  • Build data-driven applications, machine learning models, and web scraping tools.
  • Enhance your portfolio with real-world projects that showcase your expertise in Python and data science.
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Deep Learning Algorithms

  • Learn advanced deep learning techniques with neural networks, CNNs, and RNNs.
  • Master TensorFlow and Keras for building deep learning models with Python.
  • Apply deep learning algorithms in projects such as image recognition and natural language processing.
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Machine Learning Algorithms

  • Gain hands-on experience with Python machine learning algorithms, including regression, classification, and clustering.
  • Master popular frameworks like Scikit-Learn and TensorFlow for building models.
  • Build and deploy machine learning models for real-world applications.
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Basics of Business Analytics

  • Understand the core concepts of business analytics using Python.
  • Learn data-driven decision-making with statistical analysis and business intelligence tools.
  • Get hands-on experience with real-world business data to drive growth and efficiency.
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Data Analytics

  • Master data analytics using Python: from data wrangling to insights extraction.
  • Analyze real-world datasets with Pandas, NumPy, and Matplotlib for actionable insights.
  • Learn to visualize data trends and interpret them for informed decision-making.
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Python Libraries

  • Explore essential Python libraries: NumPy, Pandas, Matplotlib, and more for data science and analytics.
  • Learn how to optimize code performance with powerful libraries and tools.
  • Develop projects using the most popular Python libraries in machine learning and data processing.
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Python Webscrapping

  • Master web scraping with Python using libraries like BeautifulSoup and Scrapy.
  • Learn to extract and parse data from dynamic websites, APIs, and online sources.
  • Build hands-on web scraping projects that automate data collection efficiently.
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Advanced Python with SQL and NoSQL DB

  • Gain expertise in Python for database management with SQL and NoSQL technologies.
  • Implement Python for data storage and retrieval: mastering MySQL, MongoDB, and other databases.
  • Enhance Python skills with advanced querying, indexing, and database optimization techniques.
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Python Basics

  • Learn the foundations of Python programming: syntax, variables, and data types.
  • Master Python control structures: loops, conditionals, and functions for beginner-level coding.
  • Build a solid base with practical examples and exercises to apply Python basics in real-world projects.
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