Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a competitive edge. Unlike any other Python tutorial, this course focuses on Python specifically for data science.

Knowledge required : Python Basic / Basic Programming Language

Python Data Science
Python - Data Science Introduction
Environment Setup
Python Packages
Pandas
Numpy
SciPy
Matplotlib
Cbon Library
Data Processing
Python - Data Operations
Python - Data Cleansing
Processing CSV Data
Processing JSON Data
Processing XLS Data
Relational Databases (Using MySql , MS-Sql Server / Postgresql / SqlLite
Python - NoSQL Databases
Python - Date and Time
Python - Data Wrangling
Python - Data Aggregation
Python - Reading HTML Pages
Python - Processing Unstructured Data
Python - Word Tokenization
Python - Stemming and Lemmatization
Python Visulization
Python - Chart Properties
Python - Chart Styling
Python - Box Plots
Python - Heat Maps
Python - Scatter Plots
Python - Bubble Charts
Python - 3D Charts
Python - Time Series
Python - Geographical Data
Python - Graph Data
Statics with Python
Python - Measuring Central Tendency
Python - Measuring Variance
Python - Normal Distribution
Python - Binomial Distribution
Python - Poisson Distribution
Python - Bernoulli Distribution
Python - P-Value
Python - Correlation
Python - Chi-Square Test
Python - Linear Regression

Conatct for 2 days demo with simple registration. 

For 5 or more student group discount is also available.