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Complete Python Data Science

Track :

Programming

Lessons no : 25

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What will you learn in this course?
  • Master data manipulation and analysis using Python libraries like Pandas and NumPy for real-world datasets
  • Apply statistical methods and machine learning algorithms to solve data-driven problems effectively
  • Visualize complex data insights with Matplotlib, Seaborn, and Plotly for impactful storytelling and presentations
  • Implement data cleaning, preprocessing, and feature engineering techniques to improve model accuracy and reliability
  • Develop predictive models and evaluate their performance using Python-based tools and techniques
  • Utilize SQL and Python integration for efficient data extraction, transformation, and loading (ETL) processes
  • Automate data workflows and build scalable data pipelines for continuous data analysis and reporting
  • Interpret data analysis results to support strategic decision-making in business, finance, and technology sectors
  • Enhance data security and ethical practices in handling sensitive information and complying with data privacy laws
  • Build a comprehensive portfolio of data science projects demonstrating practical skills in Python and data analysis

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  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 25


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Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy .