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Python Data Analysis Course

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Python Data Analysis Course, available at $19.99, has an average rating of 4.65, with 44 lectures, based on 10 reviews, and has 537 subscribers.

You will learn about Resolve missing values in a dataset Read Data from varies Binary file formats Gain a deep and hands-on understanding of pandas data structures. Hundreds ways of Data Manipulation and Visualization This course is ideal for individuals who are No skill required It is particularly useful for No skill required.

Enroll now: Python Data Analysis Course

Summary

Title: Python Data Analysis Course

Price: $19.99

Average Rating: 4.65

Number of Lectures: 44

Number of Published Lectures: 44

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Resolve missing values in a dataset
  • Read Data from varies Binary file formats
  • Gain a deep and hands-on understanding of pandas data structures.
  • Hundreds ways of Data Manipulation and Visualization

Who Should Attend

  • No skill required

Target Audiences

  • No skill required

Welcome to Data Analysis with Pandas course on Udemy! A brilliant choice for all beginners and intermediates learners in coding. The learning content for this course is for the Beginners in Data Science with a desire to further their knowledge by dive in into Data Analysis. This course is easy to follow and learn new concept.

In this course, we are going to cover, Data Structures and Binary Files followed by Grouping, Sorting, analyzing, organizing, sorting, filtering, pivoting, aggregating and more!With this course, I will take you step by step through all the important aspects to be covered. With this course you can add confidently, Data Analysis skills competence in your resume.

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

In Addition, if you are an expert with full and enough knowledge about DataAnalysis this course is not for you and if you are in advanced class already this course is not for you again.

PLEASE NOTE THAT: the course comes with UDEMY’S 30-DAY unconditional MONEY-BACK GUARANTEE. So what are you waiting for?

In this course, we will be using Anaconda (Jupyter Notebook) as our IDE.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Curriculum Overview

Lecture 2: PyCharm installation

Lecture 3: Anaconda Distribution Installation

Chapter 2: Data Structures

Lecture 1: Introduction to Data Structures

Lecture 2: The pandas Series

Lecture 3: Selecting elements from a Series

Lecture 4: Data Access with Pandas Series

Lecture 5: Introduction to DataFrames

Lecture 6: The Pandas DataFrame

Lecture 7: Extracting Data in a DataFrame

Lecture 8: DataFrames mutable value

Lecture 9: Data Manipulation with DataFrames

Lecture 10: Visualize Data with Series

Lecture 11: Statistical Analysis of Data

Lecture 12: Plotting Data with Pandas Series

Lecture 13: Missing Values

Chapter 3: Binary files with Pandas

Lecture 1: Introduction

Lecture 2: Reading Binary Files

Lecture 3: Filter Data

Lecture 4: Sorting Data with Pandas

Lecture 5: String Operations with Data

Lecture 6: Pandas Count Values

Chapter 4: Data Visualization

Lecture 1: Binary File Plots

Lecture 2: Pandas Multiple columns Plotting

Lecture 3: Data Surveying

Lecture 4: Visualizing Grouped Data

Chapter 5: Grouping Data with Pandas

Lecture 1: Group by Pandas Concept

Lecture 2: Grouping Numbers with Pandas

Lecture 3: Cross Tabulate

Lecture 4: Categorical Data

Chapter 6: Merge with Pandas

Lecture 1: Introduction to Pandas Merge

Lecture 2: Merging two DataFrame

Lecture 3: Merging Many to One/// One to Many

Lecture 4: Merge Key

Lecture 5: How to Merge CSV Files to avoid dublication

Chapter 7: Time Series

Lecture 1: Introduction

Lecture 2: Generate Series of time

Lecture 3: Date and Time

Lecture 4: Periods

Lecture 5: Creating period range

Lecture 6: Converting String – Dates to periods

Chapter 8: Bonus: Melting and Unmelting data with Pandas

Lecture 1: Introduction

Lecture 2: Melting Data Variables

Lecture 3: Unmelting the data Values

Instructors

  • Fanuel Mapuwei
    Fanuel Mapuwei
    Computer Scientist | Data Scientist | Analyst in Finance

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 0 votes
  • 3 stars: 1 votes
  • 4 stars: 2 votes
  • 5 stars: 7 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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