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Pandas in Python (A-Z in Bangla)

Course Description

Pandas is a Python library used for data analysis and data manipulation. This Python library provides a straightforward, versatile, and user-friendly way for data analysis. By using Pandas, it becomes easy to create data structures, perform essential tasks like indexing, filtering, and aggregation with data. It's an essential package for data visualization and general data manipulation. Pandas works with data structures like DataFrame and Series, making data management easier for programmers. Additionally, Pandas assists in loading and saving data in various formats. It's particularly popular in data analysis, machine learning, and data science projects.

Getting started

  • What is Pandas?
  • Why should we use pandas?
  • Pandas installation

Loading Data

  • Importing pandas
  • Loading files in pandas
  • Visualize the data
  • Get used to with rows and columns of table
  • Pandas set option

Basic statistical analysis

  • Describe method
  • Info method
  • Value counts
  • Unique()
  • nunique()

Pandas Series and Dataframe

  • What is pandas Series
  • How to create a pandas series
  • What is pandas Dataframe
  • How to create a Dataframe
  • Accessing column(s)
  • Get all the column names
  • Accessing rows loc[]
  • iloc[]
  • Slicing rows and columns

Indexing

  • Set index
  • Reset index

Data filtering

  • Filter mask
  • Filter dataframe using filter mask
  • Examples of filtering data

Updating rows and columns

  • Renaming columns
  • Updating rows and columns using .loc[]
  • apply()
  • applymap()
  • map() functions
  • Adding column
  • Adding row
  • Dropping columns and rows

Merging

  • Merging data
  • Concatenate data
  • Joining data

Sorting

  • Sort by columns

Grouping and aggregation

  • Groupby
  • Pivot table
  • Crosstab

Dealing with data types and missing values

  • Dropping missing values
  • Filling missing values
  • Type casting

Evaluation

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Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

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Key Topics:

  • Loading Data
  • Basic statistical analysis
  • Pandas Series and Dataframe
  • Indexing
  • Data filtering
  • Updating rows and columns
  • Merging
  • Sorting
  • Grouping and aggregation
  • Dealing with data types and missing values

Price

2000

Discount Price

1000

Duration

8 Hours

Class Type

Pre-Recorded

Access

Lifetime
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