Data mining is the process of analyzing large databases. It is more than just the simple data analysis. Data mining is becoming a popular field as big organizations have to handle a huge amount of data. Data mining is a relatively new concept and it has a huge future scope onshore as well as offshore. Not many industrial training institutes in Chandigarh offer data mining course. But there is a huge scope of career opportunities in data mining in MNCs once you complete the data mining course.
If you are looking for the best industrial training institutes in Chandigarh for data mining course, DummyByte is the right choice for you.
Data mining is also closely related to statistics. Most of the techniques used in data mining can also be used in the statistical format. But data mining techniques are not the same as the traditional statistical techniques.
In the data mining course, we will introduce you with the data mining methods currently used in the industry including data cleaning, data clustering, classification, association rules mining, search algorithms and other latest techniques for the web mining.
Once you complete the data mining course, you will be familiar with all the data mining tools and techniques. These tools are used by MNCs to get better insights of data and help them in various operations like sales, marketing, and lead generation. You will enjoy an exciting and growing career as a data scientist. Contact DummyByte for the best data mining course in Chandigarh.
Python Overview :Introduction, features.
Basic Syntax:Interactive mode programming, script mode programming, identifiers, line and indentation, quotation, comment and command line arguments in python.
Variables Type:Assigning value to a variable, multiple assignment, standard dataypes, number, string, list, tuple, dictionary, data type conversion.
Basic Operators:Arithmetic operators, comparison operators, assignment operators, bitwise operators, logical operators, membership operators, identity operators.
Decision Making:Single statement suites.
Python Loops:Loops (while, for, nested), control statement of loops.
Number (Number: int, long, float, complex):Assigning value to a number, delete the reference to a number, number type conversion, mathematical functions, random number functions, trigonometric functions, mathematical constants.
String:Accessing values in string, updating strings, escape characters, string special characters, string special operators, string formatting operator, triple code, unicode string, built in string methods.
List: Basic list operations, indexes, accessing values in list, updating list, delete list elements.
Tuple: Basic tuple operations, indexing, accessing values in tuple, updating tuple, delete tuple element.
Dictionary: Accessing values in dictionary, updating dictionary, delete dictionary elements, list under dictionary, dictionary under list, sorting in dictionary.
Date and Time:Tick, time tuple, current time, getting formatted time, getting calender.
Python Function: Defining a function, calling a function, overloading concept, function arguments, required arguments, keyword arguments, default arguments, variable length arguments, anonymous function, return statements, concept of variables.
Concept of oops: Classes and objects, overview of oop terminology, creating classes, creating instance objects, accessing attributes, built in class attributes, destroying objects, class inheritance, overriding methods, overloading operators, data hiding, Encapsulation, data abstraction, polymorphism.
Module : Import statements, from import, from import * statement, locating modules, PYTHONPATH variable, namespace and scoping, dir () function, reload() function, packages in python.
Exception:Exception handling, assert statement, except clause, try finally clause, argument of exception, raising exception, user defined exception.
Django:Introduction to Djano, Django’s design philosophies, advantages of Django.
Django Overview:MVC Pattern used.
Django Project: Creating a Project, structure of project.
Apps Life Cycle, creating an Application.
Create Interface:Admin Interface
View:Creating Views, Simple View
URL Mapping, organizing your URLs, sending parameters to view.
Template System: Render function, Django template language (DTL), filters tags, block and extend tags.
Models: Creating a model, manipulating data (CRUD), other data manipulation, linking models
Email: Sending a Simple E-mail, multiple mails with send_mass_mail, HTML e-mail, sending e-mail with attachment.
Generic views: static pages, list and display data from DB.
Form processing: Using form in a view, using our own form validation.
File uploading: uploading an image
Sessions: setting up sessions, actions using sessions