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top 10 online best python training institutes in ameerpet, hyderabad, visakhapatnam, pune, chennai, bangalore, bengaluru, india

ONLINE PYTHON & Pandas & NumPy & Machine Learning & MySQL & MongoDB TRAINING COURSE

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What is Python ?

  • Python is a General Purpose, High Level, Procedure Oriented, Object Oriented, Scripting Programming Language.
  • It comes with a lot of modules and packages to reducing modularity of the code and helps to improve the application performance.

What is Python ?

  • Python is friendly & easy to learn
  • Python programs can be developed and tested quickly since there is no compilation phase.
  • Python is very easy to debug ,Python runs everywhere and Python is a Open source.

Who should Learn this course ?

  • Automation(Robotics- Artificial Intelligence)
  • Data Science(Data Analysis and Data Reporting)
  • Administration Activities(DBA, System Administration, OS Admin, Network Admin)
  • Web Application Development
  • DevOps Engineer & Cloud Engineer(AWS/Azure/Sales force/Google Cloud)
  • Test-Engineer(Selenium)
  • IOT(Internet Of Things) & Embedded application development
  • GUI application Development & Scientific Application
  • Games Development & Animation applications
  • Hacking(Implement Cryptography and Network Security Algorithms)
  • Business People
  • Beginner's also Learning Python
  • GIS (Geographic Information System)
  • Python Get Started
  • Python Syntax
  • Python Comments
  • Python Variables
    • Python Variables
    • Variable Names
    • Assign Multiple Values
    • Output Variables
    • Global Variables
  • Python Data Types
    • Python Numbers
    • Python Casting
  • Python Strings
    • Python Strings
    • Slicing Strings
    • Modify Strings
    • Concatenate Strings
    • Format Strings
    • Escape Characters
    • String Methods
  • Python Booleans
  • Python Operators
  • Python Lists
    • Python Lists
    • Access List Items
    • Change List Items
    • Add List Items
    • Remove List Items
    • Loop Lists
    • List Comprehension
    • Sort Lists
    • Copy Lists
    • Join Lists
    • List Methods
  • Python Tuples
    • Python Tuples
    • Access Tuples
    • Update Tuples
    • Unpack Tuples
    • Loop Tuples
    • Join Tuples
    • Tuple Methods
  • Python Sets
    • Python Sets
    • Access Set Items
    • dd Set Items
    • Remove Set Items
    • Loop Sets
    • Join Sets
    • Set Methods
  • Python Dictionaries
    • Python Dictionaries
    • Access Items
    • Change Items
    • Add Items
    • Remove Items
    • Loop Dictionaries
    • Copy Dictionaries
    • Nested Dictionaries
    • Dictionary Methods
  • Python If...Else
  • Python While Loops
  • Python For Loops
  • Python Lambda
  • Python Arrays
  • Python Classes/Objects
  • Python Inheritance
  • Python Iterators
  • Python Scope
  • Python Modules
  • Python Dates
  • Python Math
  • Python JSON
  • Python RegEx
  • Python PIP
  • Python Try...Except
  • Python String Formatting
  • File Handling
    • Python File Handling
    • Python Read Files
    • Python Write/Create Files
    • Python Delete Files

NumPy

  • Introduction
  • Getting Started
  • Creating Arrays
  • Array Indexing
  • Array Slicing
  • Data Types
  • Copy vs View
  • Array Shape
  • Array Reshape
  • Array Iterating
  • Array Join
  • Array Split
  • Array Search
  • Array Sort
  • Array Filter
  • Random
  • ufuncli

Machine Learning

  • Getting Started
  • Mean Median Mode
  • Standard Deviation
  • Percentile
  • Data Distribution
  • Normal Data Distribution
  • Scatter Plot
  • Linear Regression
  • Polynomial Regression
  • Multiple Regression
  • Scale
  • Train/Test
  • Decision Tree

MySQL

  • Get Started
  • Create Database
  • Create Table
  • Insert
  • Select
  • Where
  • Order By
  • Delete
  • Drop Table
  • Update
  • Limit
  • Join

MongoDB

  • Get Started
  • Create Database
  • Create Collection
  • Insert
  • Find
  • Query
  • Sort
  • Delete
  • Drop Collection
  • Update
  • Limit

Pandas

  • Home
  • Introduction
  • Environment Setup
  • Introduction to Data Structures
  • Series
  • DataFrame
  • Panel
  • Basic Functionality
  • Descriptive Statistics
  • Function Application
  • Reindexing
  • Iteration
  • Sorting
  • Working with Text Data
  • Options & Customization
  • Indexing & Selecting Data
  • Statistical Functions
  • Window Functions
  • Aggregations
  • Missing Data
  • GroupBy
  • Merging/Joining
  • Concatenation
  • Date Functionality
  • Timedelta
  • Categorical Data
  • Visualization
  • IO Tools
  • Sparse Data
  • Caveats & Gotchas
  • Comparison with SQL

COURSE ENQUIRY

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