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Data Analysis Crash Course For Beginners (Pandas + Python)

Take First Step Toward Data Analysis With Pandas - Learn about DataFrames, Jupyter Notebook, iPython and Pandas Commands

3.95 (13 reviews)

Data Analysis Crash Course For Beginners (Pandas + Python)

Students

1 hour

Content

Dec 2020

Last Update
Regular Price

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What you will learn

Fundamentals of Data Analysis.

Working with Pandas, iPython, Jupyter Notebook.

Important Jupyter Notebook Commands.

Working with CSV, Excel, TXT, JSON Files and API Responses.

Working with DataFrames (Indexing, Slicing, Adding and Deleting).


Description

Welcome to Data Analysis Basics with Pandas and Python - For Beginners,
This course will help you to understand the fundamentals of Data Analysis with Python and Pandas library. You will learn,

1. Fundamentals of Data Analysis.

2. Working with Pandas, iPython, Jupyter Notebook.

3. Important Jupyter Notebook Commands.

4. Working with CSV, Excel, TXT, JSON Files and API Responses.

5. Working with DataFrames (Indexing, Slicing, Adding and Deleting).

Pandas is an open-source library providing high-performance, easy-to-use data structures and data analysis tools for Python. Pandas provide a powerful and comprehensive toolset for working with data, including tools for reading and writing diverse files, data cleaning and wrangling, analysis and modelling, and visualization. Fields with the widespread use of Pandas include data science, finance, neuroscience, economics, advertising, web analytics, statistics, social science, and many areas of engineering.

After completing this course you will have a good understanding of Pandas and will be ready to explore Data Analysis in-depth in future.


Content

Course Introduction

Course Introduction

Welcome To Course

What is Pandas?

What is Pandas?

Starting With Pandas And iPython

Jupyter Notebooks

Working with Jupyter Notebooks

Important Jupyter Notebook Commands

Working on Data

Working with CSV, Excel, TXT and JSON Files

Working with API Response

Indexing and Slicing Dataframe Tables [Part 1]

Indexing and Slicing Dataframe Tables [Part 2]

Deleting Columns and Rows

Adding and Updating new Columns and Rows

Thank You For Being Here!

Thank You For Being Here!


Reviews

M
Melissa8 June 2020

I am so impressed with this course and how quickly I was able to learn what I need to create and use data frames with pandas and jupyter notebook. I am really grateful and will be checking out more of your courses! Thank you! This is seriously a great course.


Coupons

DateDiscountStatus
10/18/2019100% OFFExpired
2/21/2020100% OFFExpired

2547911

Udemy ID

9/7/2019

Course created date

10/18/2019

Course Indexed date
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