Data Analysis Crash Course For Beginners (Pandas + Python)

Data Analysis Crash Course For Beginners (Pandas + Python), available at $34.99, has an average rating of 4.45, with 14 lectures, based on 46 reviews, and has 1882 subscribers.

You will learn about 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). This course is ideal for individuals who are Python Programmers and Developers or Student interested in learning Pandas It is particularly useful for Python Programmers and Developers or Student interested in learning Pandas.

Enroll now: Data Analysis Crash Course For Beginners (Pandas + Python)

Summary

Title: Data Analysis Crash Course For Beginners (Pandas + Python)

Price: $34.99

Average Rating: 4.45

Number of Lectures: 14

Number of Published Lectures: 13

Number of Curriculum Items: 14

Number of Published Curriculum Objects: 13

Original Price: $22.99

Quality Status: approved

Status: Live

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).

Who Should Attend

Python Programmers and Developers
Student interested in learning Pandas

Target Audiences

Python Programmers and Developers
Student interested in learning Pandas

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.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Lecture 2: Welcome – Lets Get Started!

Chapter 2: What is Pandas?

Lecture 1: What is Pandas?

Lecture 2: Starting With Pandas And iPython

Chapter 3: Jupyter Notebooks

Lecture 1: Working with Jupyter Notebooks

Lecture 2: Important Jupyter Notebook Commands

Chapter 4: Working on Data

Lecture 1: Working with CSV, Excel, TXT and JSON Files

Lecture 2: Working with API Response

Lecture 3: Indexing and Slicing Dataframe Tables [Part 1]

Lecture 4: Indexing and Slicing Dataframe Tables [Part 2]

Lecture 5: Deleting Columns and Rows

Lecture 6: Adding and Updating new Columns and Rows

Chapter 5: Bonus – What's Next?

Lecture 1: Bonus – What's Next?

Instructors

Shubham Sarda
Software Developer & Instructor

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 7 votes
4 stars: 18 votes
5 stars: 20 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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