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Python Data Analysis Bootcamp with Pandas and NLTK

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Python Data Analysis Bootcamp with Pandas and NLTK, available at $19.99, has an average rating of 5, with 29 lectures, based on 1 reviews, and has 23 subscribers.

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You will learn about Learn to program in Python at a good level Learn how to create variables Learn about integer, float, logical, string and other types in Python Discover and learn hundreds of methods, attributes, and techniques to manipulate data in pandas and python. Gain a deep and hands-on understanding of pandas data structures. This course is ideal for individuals who are Anyone looking to deeply understand and master pandas or Anyone interested in mastering data analysis with python or Data analysts and business analysts or Excel users looking to learn a more powerful software for data analysis It is particularly useful for Anyone looking to deeply understand and master pandas or Anyone interested in mastering data analysis with python or Data analysts and business analysts or Excel users looking to learn a more powerful software for data analysis.

Enroll now: Python Data Analysis Bootcamp with Pandas and NLTK

Summary

Title: Python Data Analysis Bootcamp with Pandas and NLTK

Price: $19.99

Average Rating: 5

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn to program in Python at a good level
  • Learn how to create variables
  • Learn about integer, float, logical, string and other types in Python
  • Discover and learn hundreds of methods, attributes, and techniques to manipulate data in pandas and python.
  • Gain a deep and hands-on understanding of pandas data structures.

Who Should Attend

  • Anyone looking to deeply understand and master pandas
  • Anyone interested in mastering data analysis with python
  • Data analysts and business analysts
  • Excel users looking to learn a more powerful software for data analysis

Target Audiences

  • Anyone looking to deeply understand and master pandas
  • Anyone interested in mastering data analysis with python
  • Data analysts and business analysts
  • Excel users looking to learn a more powerful software for data analysis

Why learn pandas?

If you’ve spent time in spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandasis a powerhouse tool that allows you to do anything and everything with colossal data sets — analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it “Excel on steroids”!

Over the course of more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you’re a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Pythonoffers you an incredible introduction to one of the most powerful data toolkits available today!

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Project Preview

Chapter 2: 01 Mammoth Interactive Courses Introduction

Lecture 1: About Mammoth Interactive

Lecture 2: How To Learn Online Effectively

Lecture 3: Source Files

Chapter 3: 02 Introduction to Python (Prerequisite)

Lecture 1: Intro To Course And Python

Lecture 2: Variables

Lecture 3: Type Conversion Examples

Lecture 4: Operators

Lecture 5: Collections

Lecture 6: List Examples

Lecture 7: Tuples Examples

Lecture 8: Dictionaries Examples

Lecture 9: Ranges Examples

Lecture 10: Conditionals

Lecture 11: If Statement Examples

Lecture 12: Loops

Lecture 13: Functions

Lecture 14: Parameters And Return Values Examples

Lecture 15: Classes And Objects

Lecture 16: Inheritance Examples

Lecture 17: Static Members Examples

Lecture 18: Summary And Outro

Chapter 4: 03 Project – Analyze Text Data with Pandas and NLTK

Lecture 1: 00 Author and Quote CSV File for Project

Lecture 2: Convert CSV File To A Python List

Lecture 3: Tokenize Text Data

Lecture 4: Find Most Popular Lemmatized Words

Lecture 5: Build Dataframes Per Part Of Speech

Lecture 6: Plot Word Frequency

Lecture 7: Source Files

Instructors

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  • 5 stars: 1 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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