Data Science with Python Training in Bangalore

Data Science With Pyhon Training

Best Python Training Institute in Bangalore – Data Science is the future of human civilization. It is one of the most attractive and emerging fields of activity and is characterized by a highly interdisciplinary approach. Data science combines together a plethora of domains in order to achieve an exciting mix. It encompasses a whole range of processes such as data analytics, data mining, machine learning etc. The analysis of data holds the promise for revolutionizing the way in which the world works. As such stakeholders are eager to harness the power of the large chunks of data that are available in today’s world. This is exactly what data science does. It can involve both top-down and bottom-up approaches which employ statistical models and machine learning in combination to get a better understanding of consumer behavior, market variations etc from available data. Businesses that do not pay adequate attention to data science thus stand to lose in the coming years. Learn data science with python from professionals and experts in industry only at ITrain Technologies.

Tech giant IBM states that the number of data professionals in the US alone would surge by almost 800% by 2020. In the very near future people who are competent in data science are going to be an indispensable part of every single business activity. The field thus promises to absorb a large workforce provided that they have the right skills for the job. Join our data science with python training in BTM Layout, Bangalore.

Python is a high level programming language that is gaining increased application in the emerging fields of data science and AI. Being a language that is comparatively easier to learn for a beginner when compared with other coding languages it proves to be a productive choice for many. The large number of online libraries and resources related to python further supplements the learning process. A sound knowledge in python combined with an efficient grasp of data science skyrockets the employment opportunities for a person.

Our institute has realized the vast potential that such a combination can produce and thus we have come out with a course that provides the student a comprehensive knowledge of data science and python.

Data science with python course that we offer comes with the following benefits –

  • Combines the promising skills of both data science and python which are slated to be major job creators in the coming years
  • Faculty who are having professional experience in these emerging fields as well as experience in training students from diverse backgrounds.
  • Flexible timings to cater to the needs of the students.
The tested methodology and discipline that we promise is unparalleled in the city. Hence you will not have to think twice before selecting us to guide you towards your dreams.


SECTION 1: Introduction
  • Why do we need Python?
  • Program structure
SECTION 2: Execution steps
  • Interactive Shell
  • Executable or script files
  • User Interface or IDE
SECTION 3: Memory management and Garbage collections
  • Object creation and deletion
  • Object properties
SECTION 4: Data Types and Operations
  • Numbers
  • Strings
  • List
  • Tuple
  • Dictionary
  • Set
  • Other Core Types
  • Conversion between data types
SECTION 5: Statements and Syntax
  • Assignments, Expressions and prints
  • If tests and Syntax Rules
  • While and For Loops
  • Break and continue
SECTION 6: File Operations
  • Opening a file
  • Using Files – txt ,Csv, Xlsx
  • How to connect MySQL
  • Find and replace
  • Appending to file
  • Exporting file
SECTION 7: Functions
  • Function definition and call
  • Function Scope
  • Arguments
  • Function Objects
  • Anonymous Functions
  • Packaging Importing
  • Classes and Objects
  • Creating object
  • Working with Class and Instance Variables Together
  • Accessing Object Variables
  • Accessing Object Functions
  • Inheritance
  • Multiple Inheritance
  • Constructor
  • Operator Overloading
  • Polymorphism
  • Encapsulation
  • Abstract class and methods
SECTION 9: Pandas Section
  • Python Pandas – Introduction
  • Introduction to Data Structures
  • Python Pandas – Series
  • Python Pandas – DataFrame
  • Python Pandas – Basic Functionality
  • Python Pandas – Descriptive Statistics
  • Python Pandas – Indexing and Selecting Data
  • Python Pandas – Function Application
  • Python Pandas – Reindexing
  • Python Pandas – Iteration
  • Python Pandas – Sorting
  • Python Pandas – Working with Text Data
  • Python Pandas – Options and Customization
  • Python Pandas – Missing Data
  • Python Pandas – GroupBy
  • Python Pandas – Merging/Joining
  • Python Pandas – Concatenation
  • Python Pandas – IO Tools
  • Python Pandas – Comparison with SQL
  • Python Pandas – Dates Conversion
  • Plotting Data
SECTION 10: Machine Learning Techniques
    All algorithm will be explain by
  • What is mathematics behind it
  • Which scenario want to use
  • How it is different from other algorithm
  • How to interpret with Python
  • What insights getting out from result
  • Hypothesis Testing
  • Correlation
  • Outlier Detection
  • T-test
  • Anova
  • Chi-square
  • Linear regression
  • Multiple regression
  • Logistics Regression
  • Naïve Bayes classifier
  • K means clustering
  • Decision tree
  • SVM
  • Time series forecasting Overview

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