Curriculum
4 Sections
2 Lessons
96 Hours
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Python Fundamentals - Python, Anaconda, Jupyter notebook
Installing Python and Anaconda environment Variables, Input Functions, Operators, Control Flow, String Handling Data Structures-Lists, Tuples, Sets, Dictionary Functions, Modules, Packages, File Handling, Exception Handling Object Oriented Paradigms
3
1.0
Installing Python and Anaconda environment Variables
1.1
Variables, Input Functions, Operators, Control Flow, String Handling
1.2
Data Structures-Lists, Tuples, Sets, Dictionary
10 Minutes
0 Questions
Python Libraries - NumPy Pandas SciPy
Numerical Operations – NumPy Pandas: Data Frame Basics, Key Operations on Data Frames Matrix Operations and Linear Algebra Working with SciPy
0
Data Visualization - Matplotlib Seaborn
Scatter Plot, Line Chart, Histogram, Bar Chart, Box plot, Heat Map, Pair plot Scatter Matrix using Matplotlib Pandas Visualization Seaborn Visualization
0
Statistics and Probability - Statsmodels
Statistics - Measuring central tendency, Variance Probability Distributions - Gaussian, Poisson, Bernoulli, Binomial, Uniform, Exponential Hypothesis Test, P-Test, t -test, z-Score, Chi-Square Test, ANOVA
0
End-to-End Data Science
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