Python for Data Science Training Course

  Lecture-1 Python Environment Setup
Live Lecture 
·      Introduction to Python Language

·      Features, the advantages of Python over other programming languages

·      Python installation – Windows, Mac & Linux distribution for Anaconda Python

·      Deploying Python IDE

·      Basic Python commands

·      Data types

·      Variables

·      Keywords and more

·      Practical Exercise

  Lecture-2 Introduction to Python
Live Lecture 
·      The Companies using Python

·      Different Applications where Python is used

·      Discuss Python Scripts on UNIX/Windows

·      Values, Types, Variables

·      Operands and Expressions

·      Conditional Statements

·      Loops

·      Command Line Arguments

·      Writing to the screen

·      Practical Exercise

  Lecture-3 Sequences and File Operations
Live Lecture 
·      Python files I/O Functions

  Lecture-4 Functions, OOPs, Modules, Errors and Exceptions
Live Lecture 
·      Functions

·      Function Parameters

·      Global Variables

·      Variable Scope and Returning Values

·      Lambda Functions

·      Object-Oriented Concepts

·      Standard Libraries

·      Modules Used in Python

·      The Import Statements

·      Module Search Path

·      Package Installation Ways

·      Errors and Exception Handling

·      Handling Multiple Exceptions

·      Practical Exercise

  Lecture-5 Database connection
Live Lecture 
·      Understanding the Database, need of database

·      Installing MySQL on windows

·      Understanding Database connection using Python.

·      Practical Exercise

  Lecture-6 NumPy for mathematical computing
Live Lecture 
·      Introduction to arrays and matrices

·      Broadcasting of array math, indexing of array

·      Standard deviation, conditional probability, correlation and covariance.

·      Reading and writing arrays on files

·      How to import NumPy module

·      Creating array using ND-array

·      Calculating standard deviation on array of numbers

·      Calculating correlation between two variables.

·      Practical Exercise

  Lecture-7 SciPy
Live Lecture 
·      Introduction to SciPy

·      Functions building on top of NumPy

·      Cluster, linalg, signal, optimize, integrate

·      Subpackages, SciPy with Bayes Theorem.

·      Importing of SciPy

·      Applying the Bayes theorem on the given dataset.

·      Practical Exercise

  Lecture-8 Matplotlib for data visualization
Live Lecture 
·      How to plot graph and chart with Python

·      Various aspects of line, scatter, bar, histogram, 3D

·      The API of MatPlotLib

·      Subplots

·      Practical Exercise

  Lecture-9 Pandas for data analysis and machine learning
Live Lecture 
·      Introduction to Python dataframes

·      Importing data from JSON, CSV, Excel, SQL database,

·      NumPy array to dataframe

·      Various data operations like selecting

·      Filtering, sorting, viewing, joining, combining

·      Working on importing data from JSON files

·      Selecting record by a group

·      Applying filter on top, Viewing records

·      Practical Exercise

  Lecture-10 Exception Handling
Live Lecture 
·      Introduction to Exception Handling

·      Scenarios in Exception Handling with its execution

·      Arithmetic exception

·      RAISE of Exception

·      What is Random List

·      Running a Random list on Jupyter Notebook

·      Value Error in Exception Handling.

·      Practical Exercise

  Lecture-11 Multi Threading & Race Condition
Live Lecture 
·      Introduction to Thread, need of threads

·      What are thread functions

·      Performing various operations

·      Joining a thread

·      Starting a thread

·      Enumeration in a thread

·      Creating a Multithread

·      Finishing the multithreads

·      Understanding Race Condition

·      Lock and Synchronization

·      Practical Exercise

  Lecture-12 Packages and Functions
Live Lecture 
·      Intro to modules in Python, need of modules

·      How to import modules in python

·      Locating a module, namespace and scoping

·      Arithmetic operations on Modules using a function

·      Intro to Search path,

·      Global and local functions

·      Filter functions

·      Python Packages

·      Import in packages

·      Various ways of accessing the packages

·      Decorators

·      Pointer assignments, and Xldr

·      Practical Exercise

  Lecture-13 Web scraping with Python
Live Lecture 
·      Introduction to web scraping in Python

·      Installing of beautifulsoup

·      Installing Python parser lxml

·      Various web scraping libraries

·      Beautifulsoup,

·      Scrapy Python packages

·      Creating soup object with input HTML

·      Searching of tree, full or partial parsing, output print

·      Practical Exercise

  Case Studies