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Data Analytics Path

Master data analytics through our structured learning paths. Choose your starting point and begin your journey.

Python Fundamentals

Learn the fundamentals of Python programming

Duration: 4-6 hoursLevel: Advanced

Numpy Fundamentals

Learn the fundamentals of Numpy

Duration: 2-3 hoursLevel: Intermediate

Pandas Fundamentals

Master the fundamentals of Pandas

Duration: 2-3 hoursLevel: Intermediate

Matplotlib Fundamentals

Learn the fundamentals of Matplotlib

Duration: 2-3 hoursLevel: Advanced

Data Analytics in One Shot with Projects.

Top Data Analytics Libraries & Tools

Explore essential libraries and tools for data analytics in Python.

NumPy

Fundamental package for numerical computing with Python.

Pandas

Powerful data structures for data analysis and manipulation.

Matplotlib

Comprehensive library for creating static, animated, and interactive visualizations.

Seaborn

Statistical data visualization built on top of Matplotlib.

Scikit-learn

Machine learning library for Python.

Plotly

Interactive graphing library for Python.