Pandas for Data Analysis
- Offered byThe knowledge academy
Pandas for Data Analysis at The knowledge academy Overview
Duration | 2 days |
Start from | Start Now |
Total fee | ₹39,995 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Admission Process
Pandas for Data Analysis at The knowledge academy Highlights
- Earn a certificate after completion of course
- Engage in activities, and communicate with your trainer and peers
Pandas for Data Analysis at The knowledge academy Course details
Data Analysts
Data Scientists
Business Analysts
Researchers
Statisticians
Data Engineers
Machine Learning Engineers
To master Pandas data structures and operations
To efficiently handle text, missing, and categorical data
To explore essential Pandas functions for merging, reshaping, and pivot tables
To acquire data visualization skills and utilize integrated development environments
To understand data validation practices and work with extension data types
To gain proficiency in storing Pandas Data Frame objects in Apache Parquet format
In the realm of data science, Pandas course in India stands as a beacon of efficiency and versatility
This open-source Python library offers high-performance tools for data analysis and data structure manipulation. With its extensive capabilities, Pandas has become indispensable in various fields, including statistics, economics, and analytics
In an era where data quality and speed are essential, Pandas course in India empowers professionals to make informed decisions, extract valuable insights, and drive business success.
Pandas for Data Analysis at The knowledge academy Curriculum
Module 1: Introduction and Installation
Define Pandas
Installing Pandas
Running Test Suite
Dependencies
Module 2: Getting Started with Pandas
Package Overview
Exploring Panda
Essential Basic Functionality
Comparison with Other Tools
Module 3: User Guide
IO Tools
Indexing
Merge, Join, and Concatenate
Reshaping and Pivot Tables
Working with Text Data, Missing Data, and Categorical Data
Nullable Integer Data Type
Computational Tools
Group By: Split-Apply-Combine
Time Series and Time Deltas
Stylings
Options and Settings
Enhancing Performance
Sparse Data Structures
Module 4: Pandas Ecosystem
Statistics and Machine Learning
Visualization
IDE
Extension Data Types
Module 5: Development Phase
Extending Pandas
Storing Pandas DataFrame Objects in Apache Parquet Format
Pandas for Data Analysis at The knowledge academy Admission Process
Important Dates
Other courses offered by The knowledge academy
Student Forum
Anything you would want to ask experts?