Introduction to Python and Big Data Analysis(In-House Internship)

Learn Introduction to Python and Big Data Analysis

Learning Outcomes

Nowadays, Data Science is the most demanding profession in the software industry. To be a Data Scientist one should have a vast knowledge of Big Data and Machine Learning. For both cases, python provides best packages and libraries. In this course, a student will not only learn the basic of python but also the data analysis on Big Data. The Django part of this course will also provide introductory knowledge to build a small web application which will help students to design initial level data visualization for Big Data

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Course Syllabus

  • Overview
  • Environment Setup
  • Basic Syntax
  • Variable Types
  • Basic Operators
  • Decision Making
  • Loops
  • Numbers
  • Strings
  • Basic Operators
  • Decision Making
  • Loops
  • Numbers
  • Strings
  • Arrays
  • Matrix
  • Lists
  • Tuples
  • Dictionary
  • Images
  •  Tables
  •  Forms
  • Date & Time
  • Functions
  • Modules
  • Files I/O
  • Exceptions
  • Classes/Objects
  • Reg Expressions
  • Database Access
  • Sending Email
  • Multithreading
  • JSON Processing
  • Logging
  • Unit testing
 Data Concept
  •    Structure concept (Hadoop, Spark)
  •    When to choose what


  •      AWS EMR (and related basics of AWS like ec2, S3)
  •      Run example with Hive, Hue
  •      Example with PySpark

Pandas (intro)

  • Understanding dataframe
  • Database connection and execute query
  • Dataframe filtering and storing result to CSV, Excel
  • Why numpy
  • Basic operations

Course History