Python with Data Analysis

Python with Data Analysis

Rs.12,500.00

Please register to enroll in this course.

18% GST Extra

Timing: Starting from 03rd August 2020.

Note: Please call on +91 9910043510 before making the payment.

SKU: cid_91451 Category:

Target Audience

The course can be taken by:

Students: All students who are pursuing professional graduate/post-graduate courses related to computer science / Information Technology.

Teachers/Faculties: All computer science teachers/faculties who wish to acquire new skills.

Professionals: All working professionals, who wish to enhance their skills.

Course Features

  • 24X7 Access: You can view lectures as per your own convenience.
  • Online lectures: Online lectures with high-quality videos.
  • Updated Quality content: Content is the latest and gets updated regularly to meet the current industry demands.

Test & Evaluation

A final test based on multiple-choice questions.

Certification

1. All successful participants will be provided with a certificate of completion.

2. Students who do not complete the course / leave it midway will not be awarded any certificate.

Basic mathematical calculation skills and logical skills

Introduction: Day - 1

  • What is Python..?
  • A brief history of Python
  • Why Should I learn Python..?
  • Installing Python
  • How to execute the Python program
  • Write your first program

Variables & Data Types: Day - 2, 3

  • Variables
  • Numbers
  • String
  • Lists ,Tuples & Dictionary

Conditional Statements & Loops: Day - 4

  • if...statement
  • if...else statement
  • elif...statement
  • The while...Loop
  • The for...Loop

Control Statements: Day - 5

  • continue statement
  • break statement
  • pass statement

Functions: Day - 6

  • Define function
  • Calling a function
  • Function arguments
  • Built-in functions

Modules & Packages: Day - 7, 8

  • Modules
  • How to import a module...?
  • Command-line arguments
  • Packages
  • Creating custom packages

Classes & Objects: Day - 9, 10

  • Introduction about classes & objects
  • Creating a class & object
  • Inheritance
  • Methods Overriding
  • Data hiding

Files & Directories: Day - 11, 12

  • Writing data to a file
  • Reading data from a file
  • Working with CSV file
  • The os module
  • Working with files and directories

Introduction to SQLite database: Day - 13

  • Overview
  • Create Database
  • Create Table
  • Drop-Table
  • Insert query
  • Select query
  • Delete and Update query
  • WHERE AND & OR Clause

GUI Programming with Tkinter: Day - 14, 15

  • Introduction
  • Saying Hello with Labels
  • Buttons
  • Message Widget
  • Entry Widget
  • Dialogs
  • Radiobutton and Checkboxes
  • Creating Menus
  • Events and Binds

Numpy: Dealing with N-dims arrays: Day - 16

  • Numpy: Overview
  • Creating ndims arrays
  • Why do we need arrays?
  • Numeric operations using NumPy
  • Indexing and slicing
  • Some Mathematical functions

Pandas: Data analysis tool: Day - 17, 23

  • Pandas Overview
  • Data Structures
    • Series
    • DataFrame
  • Series and DataFrame operations
  • Missing Data
  • Categorical Data
  • Time Series data
  • Read data from the different file format
  • Merging and Grouping Data
  • Many other data operations using Pandas

Matplotlib and Seaborn: Data Visualization: Day - 24

  • Overview
  • Scatter plot, line plot, bar plot
  • Histogram
  • Xlabel, Ylabel, Xticks, Yticks, title
  • Marker style,type, size
  • Figure and Subplot
  • Saving a Figure
  • HeatMap,BoxPlot

Calculator using Tkinter: Day - 25

  • Data analysis from a Kaggle dataset
Note:
  1. Upto six weeks (or till submission of the final quiz) access to the course
  2. To get access to the certificate - you need to take the online exam at the end of the course
Open chat