Python Analytics


Why this course ?

  • For aspiring Data Scientists, Python is probably the most important language to learn because of its rich ecosystem.
  • Python has gained a reputation as being easy to learn. The syntax of the language is designed to be readable.
  • To do high-performance computing, Python is a viable option today.
  • Our Python course focus on practical learning from beginning to advanced level.

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations,and more!

Program Duration
and Fees

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48 Hours




Installation and Basic syntax of Python
Programming construct in Python: if-else statement, looping, functions in python
Basic object oriented programming in python
Python Packages: Numpy
Python Packages: Matplotlib
Python Packages: Pandas
Variables and data types
Decision making & Loops
Modules and Packages
Exception Handling
Files and Directories
Classes Objects
Regular Expressions
Socket programming
Concept of linear regression
Code from Scratch and using Python Library
Theory of logistic regression
Code from scratch and using python library
Nearest Neighbor Regression-Theory and Code
Nearest Neighbor Classification-Theory and Code
SVM theory: Linear, Dual SVM and Kernel Trick
Handson session on SVM
understanding decision tree
Decision tree codes
Curse of dimensionality
Principal Component Analysis
Singular Value Decomposition
Independent Component Analysis
Fisher Linear Discriminant Analysis
Hierarchical Clustering: Theory and Code-along
Gaussian Mixture Model: Theory and Code-along


Course Name: Python Analytics