Data Analysis Crash Course For Beginners (Pandas + Python)

Name: Data Analysis Crash Course For Beginners (Pandas + Python)
Rating: 4.3 (51 reviews)

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

Created byShubham Sarda

Last updated 11/2023

English

What you'll 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).

Course content

5 sections • 13 lectures • 1h 3m total length

Course Introduction1:45
Learn data analysis basics with pandas and Python, mastering reading and writing csv and text files, data cleaning, modeling, and visualization across finance, neuroscience, advertising, web analytics, and engineering.
Welcome - Lets Get Started!3:45
Kick off the data analysis crash course for beginners with pandas and Python. Learn to navigate video player settings - playback speed, resolution, and audio - and use notes and bookmarks to enhance learning.

What is Pandas?5:52
Discover how pandas, a high-level Python library, enables data manipulation, cleaning, and analysis of CSV, JSON, and text data; learn basic installation, prerequisites like numpy, and using notebooks.
Starting With Pandas And iPython10:41
Learn to use pandas to create data frames from lists and dictionaries, load data from text, csv, excel, json, and perform slicing, indexing, and max or mean in iPython notebooks.

Working with Jupyter Notebooks3:37
Install Jupyter notebook with pip, set up a folder, launch the interactive notebook in your browser, and create, run, edit, and save notebooks for data analysis.
Important Jupyter Notebook Commands6:53
Explore essential Jupyter notebook commands for data analysis with Pandas in Python. Learn file operations, read_csv and read_excel, create and rename notebooks, auto-save, and keyboard shortcuts.

Working with CSV, Excel, TXT and JSON Files8:28
Learn to work with csv, excel, txt, and json files using pandas in Python, covering reading data, headers, and basic data frame operations like set index.
Working with API Response3:00
Fetch data directly from API responses by loading data frames from online links, and load csv, json, or excel sources while running import lines in a Jupyter notebook.
Indexing and Slicing Dataframe Tables [Part 1]5:12
Indexing and Slicing Dataframe Tables [Part 2]3:26
Master dataframe slicing with index position and labels using iloc and loc, learn end behavior from six to nine (end not included), and note ix deprecation and potential errors.
Deleting Columns and Rows3:41
Delete columns and rows in a pandas data frame using drop by label or position. Drops are not in place unless you store the result in a variable.
Adding and Updating new Columns and Rows6:34

Requirements

Basics of Python

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.

Who this course is for:

Python Programmers and Developers
Student interested in learning Pandas

Data Analysis Crash Course For Beginners (Pandas + Python)

What you'll learn

Explore related topics

Course content

Course Introduction2 lectures • 6min

What is Pandas?2 lectures • 17min

Jupyter Notebooks2 lectures • 11min

Working on Data6 lectures • 30min

Bonus - What's Next?1 lecture • 1min

Requirements

Description

Who this course is for: