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Data Science with Python

Data science course is a package of data, algorithms, technology and business strategy.

An extension of business analyst can also be referred as Data scientist while Business administration and data analysis will fall in the basket of Analyst and a data scientist will deal with algorithms, machine learning concepts, data product along with   Business administration and data analysis

Data science can also integrate with languages like R and Python

The course agenda will include:

  • What is data science?
  • Types of data scientists
  • General tasks for data scientists
  • Required skill set
  • Data Science Project Life Cycle –Overview
  • Data Collection and Pre-Processing
  • Python Basics
  • Basic understanding of python
  • numpy, scipy
  • pandas
  • matplotlib
  • Understanding data types, reading data in Python, data manipulation techniques
  • Data Exploration
  • Data Visualization

DATA ANALYTICS USING PYTHON

  • Pre-requisites: Basic Statistics Concepts
  • Advanced visualization techniques
  • Probability Distribution
  • Test of hypothesis
  • ANOVA

ALGORITHMS USING PYTHON

  • Predictive modelling basics
  • Introduction to CARET package
  • Variable selection method
  • Pre-requisite to Predictive Modelling
  • Fitting a Model to Data:
  • Simple linear regression
  • Interpretation of Results
  • Assumptions Validations
  • Introduction to Multiple regression analysis
  • Logistic regression
  • Decision Tree
  • Market Basket Analysis
  • Clustering Techniques: k -means Clustering
  • k nearest neighbors
  • Time Series Forecasting
  • Neural Networks

DATA SCIENCE – IN PRODUCTION

  • Model deployment in Production
  • Parameter fine tuning

Performance tuning