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Data Analysis Using Python

Data Analysis Using Python is a specialized field focusing on using Python programming language to gather, process, and analyze data effectively. Python is popular in data analysis due to its simplicity, readability, and the availability of powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn.

Duration

1 Month

Lectures

11

Projects

3

Course Overview

The widespread use of the World Wide Web and social media has resulted in the creation and access to enormous amount of data becoming available. The data needs to be analyzed to be able to apply the information in useful ways in many fields including business, science, and social science. The course will teach you to apply your Python programming skills to complex data analysis problems.

 

Course Curriculum

1 live class

  • What data analysis is
  • The Python skills that you need for data analysis
  • How to use JupyterLab as your IDE
  • How to split the screen between two Notebooks
  • How to use Magic Commands

1 live class

  • Introduction to the Pandas DataFrame
  • How to examine the data
  • How to access the columns and rows
  • How to work with the data
  • How to shape the data
  • How to analyze the data

1 live class

  • Introduction to data visualization
  • How to create 8 types of plots
  • How to enhance a plot

1 live class

  • Introduction to Seaborn
  • How to enhance and save plots
  • How to create relational plots
  • How to create categorical plots
  • How to create distribution plots
  • Other techniques for enhancing a plot

1 live class

  • How to find the data that you want to analyze
  • How to import data into a DataFrame
  • How to get database data into a DataFrame
  • How to work with a Stata file
  • How to work with a JSON file

1 live class

  • Introduction to data cleaning
  • How to simplify the data
  • How to find and fix missing values
  • How to fix data type problems
  • How to find and fix outliers

1 live class

  • How to add and modify columns
  • How to apply functions and lambda expressions
  • How to work with indexes
  • How to combine DataFrames
  • How to handle the Setting With Copy Warning

1 live class

  • How to create and plot long data
  • How to group and aggregate the data
  • How to create and use pivot tables
  • How to work with bins
  • More skills for data analysis 

Course Schedule
Venue Starting Date Duration Fees
Mohammadpur 2024-12-01 1 Month 15000 Tk

Admission Is Going On

Enroll now to any of our Offline (On- Campus) or Online (Live Class) courses as per your suitable time.

Course Fee Offline

BDT 15,000.00

Enroll Now
Course Fee Online

BDT 10,000.00

Enroll Now

Call This Number: 01958025050

BDT 15,000.00