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Python analytics for beginners

Track :

Programming

Lessons no : 24

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What will you learn in this course?
  • Develop data visualization skills using Python libraries like Matplotlib and Seaborn for insightful charts and graphs
  • Perform statistical analysis with Pandas and NumPy to interpret data trends and patterns accurately
  • Build and evaluate machine learning models using Scikit-learn for predictive analytics and classification tasks
  • Apply data cleaning and preprocessing techniques to prepare datasets for analysis and modeling
  • Create predictive models to forecast trends and support data-driven decision-making processes
  • Extract actionable insights from complex datasets to inform business strategies and solutions
  • Implement data analysis workflows in Python to automate repetitive tasks and improve efficiency
  • Present analytical findings effectively through visualizations and reports for non-technical stakeholders
  • Utilize Python for exploratory data analysis to identify key variables and relationships in data sets
  • Enhance problem-solving skills by applying Python analytics techniques to real-world data challenges

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  • Watch at least 50% of Lesson Duration
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  • The Certificate is free !
Lessons | 24


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