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Complete Pandas for Absolute Beginners

Complete Pandas for Absolute Beginners

₹599

₹1499

Learn how to use the powerful Python pandas library to analyze and manipulate data.

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Has discount
Expiry period Lifetime
Made in English
Last updated at Mon Dec 2024
Level
Beginner
Total lectures 8
Total quizzes 0
Total duration 00:59:12 Hours
Total enrolment 0
Number of reviews 0
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Short description Learn how to use the powerful Python pandas library to analyze and manipulate data.
Outcomes
  • 1. Understand and Use Core Pandas Data Structures (Series and DataFrames) Gain a strong understanding of Pandas DataFrames (tabular data) and Series (one-dimensional data), the fundamental data structures in Pandas. Learn how to create, index, slice, and access data in these structures, providing a foundation for all further analysis.
  • 2. Load and Import Data Learn how to load data from various file formats (such as CSV, Excel, JSON, SQL databases, etc.) into Pandas for analysis. Understand how to efficiently handle data input/output and prepare data for processing and analysis.
  • 3. Data Cleaning and Preprocessing Handle missing data: Learn how to detect and fill or remove missing values in datasets. Remove duplicates: Master techniques for identifying and removing duplicate entries in data. Data transformation: Learn how to transform and modify data (e.g., changing data types, creating new columns, renaming columns).
  • 4. Perform Exploratory Data Analysis (EDA) Understand how to summarize and explore datasets using descriptive statistics, such as mean, median, mode, standard deviation, and quantiles. Learn to group data by categories and perform aggregation (e.g., sum, count, average). Visualize initial trends, outliers, and relationships in the data to inform further analysis.
Requirements
  • No prior knowledge of pandas is required.
  • Basic knowledge of Python
  • Access to a computer with an internet connection.
  • While the course is designed for absolute beginners, having basic knowledge of Python will make the learning process smoother. This includes understanding simple Python concepts like variables, loops, functions, and data types (e.g., lists, dictionaries). If you're completely new to Python, it's recommended to review the basics of the language before diving into Pandas, as the course assumes some level of familiarity with Python programming.