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Python For Data Analysis and Data Science: Mastery with Pandas

person icon Pruthviraja L - Team UpGraduate

4.4

Python For Data Analysis and Data Science: Mastery with Pandas

Learn Python for Data Analysis and Data Science

updated on icon Updated on May, 2024

language icon Language - English

person icon Pruthviraja L - Team UpGraduate

English [CC]

category icon Development,Data Science,Machine Learning

Lectures -102

Resources -6

Duration -15.5 hours

4.4

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Course Description

Python For Data Analysis and Data Science course will help you learn how to use Python for data science with Pandas, a powerful Python library for data manipulation and analysis. This course is designed for beginners and intermediates and covers all the basic and advanced features of Pandas. 

Python For Data Analysis and Data Science: Mastery with Pandas Overview

This project-based course will teach you how to create and manipulate Pandas DataFrames, perform data cleaning and preprocessing, data aggregation and analysis, and data visualization. You will also learn about more advanced Pandas features, such as time series analysis and string manipulation.


You will also learn about more advanced Pandas features, such as time series analysis and string manipulation. If you are interested in learning how to use Python for data analysis and data science, then this course is for you.

Goals

What will you learn in this course:

  • Create and manipulate Pandas DataFrames.
  • Perform data cleaning and preprocessing.
  • Perform data aggregation and analysis.
  • Create data visualizations.
  • Use advanced Pandas features, such as time series analysis and string manipulation.

Prerequisites

What are the prerequisites for this course?

  • Basic knowledge of computers and programming is required.
  • It is recommended that you download Anaconda, a free data science platform that includes Python and Pandas.
  • Basic or intermediate experience with Microsoft Excel or other spreadsheet software is helpful but not required.
Python For Data Analysis and Data Science: Mastery with Pandas

Curriculum

Check out the detailed breakdown of what’s inside the course

Getting Started
6 Lectures
  • play icon Course Introduction 03:35 03:35
  • play icon How To Get Most Out Of This Course 02:05 02:05
  • play icon How To Install Python IPython And Jupyter Notebook 08:26 08:26
  • play icon How To Install Anaconda For macOS And Linux Users 06:37 06:37
  • play icon How To Work With The Jupyter Notebook Part - 1 16:12 16:12
  • play icon How To Work With The Jupyter Notebook Part - 2 10:59 10:59
Pandas Building Blocks
2 Lectures
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Pandas Data Structures
6 Lectures
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Data Indexing And Selection
9 Lectures
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Essential Functionalities
13 Lectures
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Data Handling
8 Lectures
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Data Cleaning And Preparation
17 Lectures
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Data Wrangling
12 Lectures
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Data Grouping And Aggregation
9 Lectures
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Time Series Analysis
10 Lectures
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How To Analyse With The Part of Real Life Projects
9 Lectures
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Instructor Details

Pruthviraja L - Team UpGraduate

Pruthviraja L - Team UpGraduate


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