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Prompt Engineering for Data Analysis Python, Pandas, ChatGPT

ChatGPT & Python. No Coding Needed. Data Analysis & Data Visualisation with ChatGPT, Python, Pandas & Prompt Engineering
Instructor:
Saad A
881 students enrolled
English [Auto]
Confidently approach data analysis tasks with Python and Pandas, even without prior coding experience.
Leverage the power of ChatGPT and prompt engineering techniques to efficiently generate accurate, high-quality code for data analysis and visualisation.
Seamlessly integrate ChatGPT-generated code into their Python and Pandas workflows, saving time and effort on manual coding.
Effectively communicate with ChatGPT by crafting optimised prompts that guide the AI to produce the desired results.
Master the use of Jupyter Notebook and Google Colab, enabling a smooth and productive learning experience.
Gain proficiency in importing and exporting various types of data files in Python, enhancing their versatility as data analysts.
Create visually appealing and informative data visualisations using the Matplotlib library to support their data-driven decision-making processes.
Develop a strong foundation in Python, Pandas, and data analysis, paving the way for future learning and professional growth in the field.

Prompt Engineering for Data Analysis with Python, Pandas & ChatGPT” is a groundbreaking course that empowers you to harness the latest advancements in artificial intelligence by utilizing the incredible ChatGPT technology. Our innovative teaching methodology allows you to learn coding through prompt engineering, eliminating the need to write a single line of code. This approach is tailored to make coding accessible and enjoyable, even for absolute beginners.

For those already experienced in data analysis using Python, this course offers a game-changing opportunity to dramatically enhance your coding speed and efficiency. By leveraging GPT’s capabilities, you’ll learn how to use prompt engineering techniques to guide ChatGPT in generating accurate, high-quality code tailored to your specific requirements. This transformative skillset will enable you to focus on solving complex data analysis problems while ChatGPT takes care of writing the code, ultimately saving you time and effort.

Throughout the course, we’ll dive deep into the world of prompt engineering, exploring how to:

  1. Formulate effective prompts that guide ChatGPT to generate the desired code

  2. Refine and optimize your prompts for better results and increased accuracy

  3. Integrate ChatGPT-generated code seamlessly into your Python and Pandas workflows

  4. Troubleshoot and iterate on ChatGPT-generated code to ensure it meets your requirements

  5. Leverage ChatGPT’s potential to automate repetitive tasks, freeing up your time for more critical analysis

What will this course Cover: You’ll embark on a captivating journey that begins with an introduction to ChatGPT and the art of prompt engineering. As you delve deeper, you’ll discover the ease of installing Anaconda and working with both Jupyter Notebook and Google Colab, two powerful tools that will become your trusted allies throughout the learning process.

Continuing on this exciting path, we’ll provide you with a crash course in Python basics, ensuring a solid foundation to build upon as you progress. Next, you’ll explore the essentials of Pandas, mastering the art of working with series, data frames, and multiple data frames to easily manipulate and analyze data with ease.

The course then takes you on a fascinating exploration of data visualization using the versatile Matplotlib library, empowering you to create stunning and informative visualizations to support your data analysis. Finally, you’ll learn the ins and outs of importing and exporting various types of data files in Python, rounding out your skillset and making you a formidable data analyst.

Throughout this immersive experience, we’ll weave the knowledge and skills together in a seamless narrative, ensuring you develop a deep understanding of the concepts and their practical applications. Enroll now and transform your data analysis journey into an engaging and rewarding adventure!

With “Prompt Engineering for Data Analysis with Python, Pandas & ChatGPT,” you’ll unlock the full potential of artificial intelligence in your coding journey, transforming the way you approach data analysis and opening up a world of new possibilities. Enroll now and elevate your data analysis skills to a whole new level!

Introduction

1
Introduction
2
Quick Preview on the Power of ChatGPT for Data Analysis
3
Resources provided in this course
4
Course Outline
5
Download Resources

Introduction to ChatGPT

1
GPT 4 Intro
2
Basic prompts to start with
3
Drafting a Prompt
4
Drafting a prompt continued
5
The art of follow up prompts

Basics of Prompt Engineering

1
Intro to Prompt Engineering
2
The Process of Drafting and Refining Prompts
3
Types of Prompting
4
Priming Prompt
5
Task Decomposition

Download, Install and Setup Anaconda on Mac

1
Download Anaconda
2
Install Anaconda on Mac
3
Open Conda from Terminal and Create Environment
4
Environments & Libraries
5
Open Jupyter Notebook
6
Closing Jupyter and Terminal

Download and Install on Windows

1
Installing Anaconda on Windows

Intro to Jupyter Notebook

1
Open and save new python scripts
2
Keyboard Shortcuts in Jupyter
3
Header in Jupyter
4
Cell Types & Modes in JupyterNotebook
5
Outputs from Jupyter Cells
6
Importing Libraries

Coding with Google Collab

1
A quick way to start coding without installing any software

Python Crash Course

1
Working with comments
2
Data Types in Python
3
Operators
4
Working with variables
5
updating variable values multiple times
6
Built-in functions in Python
7
Custom Functions
8
String Methods
9
Modifying existing variables with string methods
10
In & Not In functions
11
Working with Lists Data Type
12
Index and Slicing
13
Data Type Dictionary and IF function
14
For Loop

Series in Pandas

1
Intro to Series Section
2
What are Series
3
Converting different data types into Series
4
Series Methods
5
Understanding the PD.Series Function with GPT
6
Importing a column as a Series from CSV
7
Apply basic functions on series data set

Switch to the second prompt sheets "Pandas Series Import - After apply basic functions"

8
Filter, Overwrite specific data in the series and Get method on Get Method
9
Custom Functions and .apply() on a Series
10
Series Attributes
11
Working with Missing Values NaN

Working with a DataFrame

1
Intro to DataFrame section
2
Importing a dataframe from CSV
3
Working with missing (NaN) values
4
Extracting numbers from a string column
5
Filter & Sort Columns
6
Identify and remove duplicate rows
7
Filtering data frame by specific columns values
8
Filtering by multiple column conditions
9
Filter text columns by parsing strings
10
Filter by one and more than one columns

Mastering GroupBy function using prompt engineering

1
Intro to GroupBy
2
Using GroupBy for exploratory analysis and data insights
3
GroupBy by multiple columns & Aggregate method

Working with Multiple DataFrames

1
Intro to the Dataset used in this section
2
Combine DataFrames with Concat & Append
3
Merging Dataset based on one KEY column
4
Merging based on multiple columns
5
"How" parameter for merging multiple dataframes
6
Combining dataframes using "Left" Join
7
Merging dataset with "Left" & "Right" Join by using different key parameters

Visualisations

1
Introduction to Visualisation Section
2
Extract Apple Stock Price data using Yahoo Finance Library
3
Plotting with Matplotlib library
4
Understanding visualisations features available
5
Visualisation features continued
6
Applying visualisations features on AAPL stock price
7
Plotting percent change in prices
8
Plotting a Histogram
9
Modifying the visual aesthetics of the histogram
10
Create a Pie Chart

Importing and Exporting data in Python

1
Intro to Importing and Exporting data
2
Importing data from a url
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Includes

11 hours on-demand video
2 articles
Full lifetime access
Access on mobile and TV
Certificate of Completion