Implement powerful data science techniques with Python using NumPy, SciPy, Matplotlib, and scikit-learn
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Use Python for data mining, loading, and manipulation
Understand simple statistics and probability using NumPy
Work with Bayesian statistical analysis with NumPy library
Perform statistical modeling and fitting using the NumPy, SciPy, and statsmodels libraries
Use Python's graphics libraries to plot data with the Matplotlib library
This comprehensive Fundamentals of Data Science with Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Fundamentals of Data Science with Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Packt Publishing
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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