Data Analytics Using Python

Training in Chennai

Module 1

  • Introduction to Business Analytics
  • Why Analytics?
  • Traditional Data Management and Analytical tools
  • Types of Analytics
  • Hind sight, ore sight and insight
  • Dimensions and measures

Module 2

  • Introduction to Python
  • Basics of Python
  • Starting with python interpreter
  • Control flow statements
  • List,tuple,Dictionary and other data structures
  • Lambda with mapper,reduce and filter
  • List and dictionary comprehension

Module 3

  • Advanced concepts
  • Writing functions
  • File operations in python
  • Error handling and raise exceptions
  • What is a module?
  • Sys module and regular expressions
  • Working with classes
  • Standard libraries

Module 4

  • Data science packages in python
  • Numpy
  • scipy
  • pandas and matplotlib
  • seaborn
  • scikit

Module 5

  • Web scraping and Database handling
  • Scraping Webpages
  • Beautifulsoup package
  • Real time project with web scraping
  • Handling database with python

Module 6

  • Introduction to Machine learning
  • What is machine learning?
  • Introduction to statistics
  • Types of Learning
  • Hypothesis space,inductive bias
  • Evaluation of hypothesis

Module 7

  • Machine Learning Algorithms
  • Linear regression algorithm
  • Decision tree algorithm
  • Linear regression vs Logistic regression
  • KNN algorithm
  • Clustering with k-means
  • Building models and evalution with Scikit

Module 8

  • Introduction to Big data
  • Hadoop ecosystem
  • HDFS
  • Mapreduce
  • Hive

Module 9

  • Case studies
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