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Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
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Name:Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
Infohash: EB4B6D006BCD1DA7ADC307495D64F88AAAAF84AE
Total Size: 5.56 GB
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Last Updated: 2025-07-11 20:11:26 (Update Now)
Torrent added: 2023-05-28 18:30:06
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[TutsNode.net] - Prompt Engineering for Data Analysis Python, Pandas, ChatGPT (Size: 5.56 GB) (Files: 213)
[TutsNode.net] - Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
15. Project 1 - Data Exploration on E-Commerce Transaction Data Set
1. E-commerce Transactions.mp4
1.2 Notebook.zip
1.1 gpt.zip
5. Download and Install on Windows
1. Installing Anaconda on Windows.html
1.2 Tutorial for installing and running anaconda in windows.html
1.1 Prompts_AnacondaOnWindows.zip
1. Introduction
5. Download Resources.html
2.1 Resources for Intro Section.zip
5.2 Jupyter Notebooks.zip
2. Quick Preview on the Power of ChatGPT for Data Analysis.mp4
4. Course Outline.mp4
1. Introduction.mp4
3. Resources provided in this course.mp4
5.1 Datasets.zip
2. Introduction to ChatGPT
1.1 Prompt Guide.html
2. Basic prompts to start with.mp4
3. Drafting a Prompt.mp4
4. Drafting a prompt continued.mp4
5. The art of follow up prompts.mp4
1. GPT 4 Intro.mp4
7. Coding with Google Collab
1.1 Goggle Collab Tutorial.html
1. A quick way to start coding without installing any software.mp4
17. Project 3 - A correlation analysis on factors that determine movie's success
1. Correlation heatmap on movies data set.mp4
16. Project 2 - San Fransisco Salaries Dataset
2. Plotting time series of salaries for various job titles.mp4
1. Exploring and cleaning data set data set.mp4
8. Python Crash Course
1.1 Prompts_Python_Crash_Course.zip
13. Data Type Dictionary and IF function.mp4
12. Index and Slicing.mp4
7. Custom Functions.mp4
11. Working with Lists Data Type.mp4
2. Data Types in Python.mp4
8. String Methods.mp4
14. For Loop.mp4
4. Working with variables.mp4
6. Built-in functions in Python.mp4
10. In & Not In functions.mp4
3. Operators.mp4
1. Working with comments.mp4
9. Modifying existing variables with string methods.mp4
5. updating variable values multiple times.mp4
18. Project 4 - Analysing historical investment performance of stocks
1. Stock price analysis using yahoo finance.mp4
6. Intro to Jupyter Notebook
1.1 Prompts_Jupyter_Notebook.zip
6. Importing Libraries.mp4
1. Open and save new python scripts.mp4
4. Cell Types & Modes in JupyterNotebook.mp4
3. Header in Jupyter.mp4
2. Keyboard Shortcuts in Jupyter.mp4
5. Outputs from Jupyter Cells.mp4
13. Visualisations
1.1 Prompts_Visualisations.zip
9. Modifying the visual aesthetics of the histogram.mp4
2. Extract Apple Stock Price data using Yahoo Finance Library.mp4
6. Applying visualisations features on AAPL stock price.mp4
7. Plotting percent change in prices.mp4
8. Plotting a Histogram.mp4
4. Understanding visualisations features available.mp4
5. Visualisation features continued.mp4
3. Plotting with Matplotlib library.mp4
1. Introduction to Visualisation Section.mp4
10. Create a Pie Chart.mp4
4. Download, Install and Setup Anaconda on Mac
3. Open Conda from Terminal and Create Environment.mp4
1.1 Prompts .zip
4. Environments & Libraries.mp4
6. Closing Jupyter and Terminal.mp4
2. Install Anaconda on Mac.mp4
5. Open Jupyter Notebook.mp4
1. Download Anaconda.mp4
10. Working with a DataFrame
2.1 Prompts_DataFrames.zip
3. Working with missing (NaN) values.mp4
2. Importing a dataframe from CSV.mp4
4. Extracting numbers from a string column.mp4
10. Filter by one and more than one columns.mp4
8. Filtering by multiple column conditions.mp4
5. Filter & Sort Columns.mp4
7. Filtering data frame by specific columns values.mp4
6. Identify and remove duplicate rows.mp4
1. Intro to DataFrame section.mp4
9. Filter text columns by parsing strings.mp4
12. Working with Multiple DataFrames
1.1 Prompts_Combining_Multiple_Dataframes.zip
3. Merging Dataset based on one KEY column.mp4
5. How parameter for merging multiple dataframes.mp4
7. Merging dataset with Left & Right Join by using different key parameters.mp4
2. Combine DataFrames with Concat & Append.mp4
4. Merging based on multiple columns.mp4
6. Combining dataframes using Left Join.mp4
1. Intro to the Dataset used in this section.mp4
9. Series in Pandas
1.1 Prompts_Series .zip
6. Importing a column as a Series from CSV.mp4
7. Apply basic functions on series data set.mp4
2. What are Series.mp4
9. Custom Functions and .apply() on a Series.mp4
5. Understanding the PD.Series Function with GPT.mp4
3. Converting different data types into Series.mp4
4. Series Methods.mp4
11. Working with Missing Values NaN.mp4
8. Filter, Overwrite specific data in the series and Get method on Get Method.mp4
10. Series Attributes.mp4
1. Intro to Series Section.mp4
14. Importing and Exporting data in Python
1.1 Prompt_Import_Export_datasets.zip
5. Importing multiple files as data frames from a folder path location.mp4
6. Importing multiple files continued.mp4
1. Intro to Importing and Exporting data.mp4
3. Exporting data to excel.mp4
2. Importing data from a url.mp4
4. Exporting data as .csv & .txt files.mp4
11. Mastering GroupBy function using prompt engineering
1.1 Prompts_GroupBy.zip
1. Intro to GroupBy.mp4
2. Using GroupBy for exploratory analysis and data insights.mp4
3. GroupBy by multiple columns & Aggregate method.mp4
3. Basics of Prompt Engineering
5. Task Decomposition.mp4
2. The Process of Drafting and Refining Prompts.mp4
4. Priming Prompt.mp4
3. Types of Prompting.mp4
1. Intro to Prompt Engineering.mp4
19. Congratulations
1. Congrats.mp4
1.1 ChatGPT+Prompt+Guide.docx
TutsNode.net.txt
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