Download Prompt Engineering for Data Analysis Python, Pandas, ChatGPT torrent

Prompt Engineering for Data Analysis Python, Pandas, ChatGPT

Torrent:	Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
Description:	Description 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: Formulate effective prompts that guide ChatGPT to generate the desired code Refine and optimize your prompts for better results and increased accuracy Integrate ChatGPT-generated code seamlessly into your Python and Pandas workflows Troubleshoot and iterate on ChatGPT-generated code to ensure it meets your requirements 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! Who this course is for: This course is designed for individuals from diverse backgrounds who are eager to leverage the power of AI tools like ChatGPT to revolutionise their coding and data analysis journey. Whether you’re a complete beginner with no coding experience, an experienced programmer looking to enhance your skills, or a data enthusiast seeking innovative ways to tackle data analysis, this course is perfect for you. Embrace the potential of ChatGPT and prompt engineering to elevate your coding capabilities and make data-driven decisions with confidence. Requirements No prior experience with AI or programming is needed, but an eagerness to learn and explore new technologies is a plus! Last Updated 5/2023
Downloads:	40
Category:	Other /Tutorials
Size:	5.6 GB
Show Files »	Prompt Engineering for Data Analysis Python, Pandas, ChatGPT [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 (301.3 MB) 1.2 Notebook.zip (663.4 KB) 1.1 gpt.zip (1.2 MB) 5. Download and Install on Windows 1. Installing Anaconda on Windows.html (0.6 KB) 1.2 Tutorial for installing and running anaconda in windows.html (0.1 KB) 1.1 Prompts_AnacondaOnWindows.zip (258.7 KB) 1. Introduction 5. Download Resources.html (0.5 KB) 2.1 Resources for Intro Section.zip (611.3 KB) 5.2 Jupyter Notebooks.zip (574.8 KB) 2. Quick Preview on the Power of ChatGPT for Data Analysis.mp4 (85.9 MB) 4. Course Outline.mp4 (76.3 MB) 1. Introduction.mp4 (42.3 MB) 3. Resources provided in this course.mp4 (29.2 MB) 5.1 Datasets.zip (8.1 MB) 2. Introduction to ChatGPT 1.1 Prompt Guide.html (0.2 KB) 2. Basic prompts to start with.mp4 (90.9 MB) 3. Drafting a Prompt.mp4 (75.8 MB) 4. Drafting a prompt continued.mp4 (75.6 MB) 5. The art of follow up prompts.mp4 (28.9 MB) 1. GPT 4 Intro.mp4 (12.4 MB) 7. Coding with Google Collab 1.1 Goggle Collab Tutorial.html (0.1 KB) 1. A quick way to start coding without installing any software.mp4 (27.8 MB) 17. Project 3 - A correlation analysis on factors that determine movie's success 1. Correlation heatmap on movies data set.mp4 (240.8 MB) 16. Project 2 - San Fransisco Salaries Dataset 2. Plotting time series of salaries for various job titles.mp4 (239.6 MB) 1. Exploring and cleaning data set data set.mp4 (130.4 MB) 8. Python Crash Course 1.1 Prompts_Python_Crash_Course.zip (280.2 KB) 13. Data Type Dictionary and IF function.mp4 (108.9 MB) 12. Index and Slicing.mp4 (95.4 MB) 7. Custom Functions.mp4 (86.9 MB) 11. Working with Lists Data Type.mp4 (79.9 MB) 2. Data Types in Python.mp4 (71.0 MB) 8. String Methods.mp4 (66.4 MB) 14. For Loop.mp4 (58.8 MB) 4. Working with variables.mp4 (56.4 MB) 6. Built-in functions in Python.mp4 (47.6 MB) 10. In & Not In functions.mp4 (44.7 MB) 3. Operators.mp4 (38.9 MB) 1. Working with comments.mp4 (25.3 MB) 9. Modifying existing variables with string methods.mp4 (25.2 MB) 5. updating variable values multiple times.mp4 (25.0 MB) 18. Project 4 - Analysing historical investment performance of stocks 1. Stock price analysis using yahoo finance.mp4 (234.5 MB) 6. Intro to Jupyter Notebook 1.1 Prompts_Jupyter_Notebook.zip (264.3 KB) 6. Importing Libraries.mp4 (63.8 MB) 1. Open and save new python scripts.mp4 (62.7 MB) 4. Cell Types & Modes in JupyterNotebook.mp4 (37.7 MB) 3. Header in Jupyter.mp4 (34.7 MB) 2. Keyboard Shortcuts in Jupyter.mp4 (27.9 MB) 5. Outputs from Jupyter Cells.mp4 (17.0 MB) 13. Visualisations 1.1 Prompts_Visualisations.zip (263.0 KB) 9. Modifying the visual aesthetics of the histogram.mp4 (98.5 MB) 2. Extract Apple Stock Price data using Yahoo Finance Library.mp4 (68.3 MB) 6. Applying visualisations features on AAPL stock price.mp4 (57.4 MB) 7. Plotting percent change in prices.mp4 (47.2 MB) 8. Plotting a Histogram.mp4 (45.4 MB) 4. Understanding visualisations features available.mp4 (34.9 MB) 5. Visualisation features continued.mp4 (30.1 MB) 3. Plotting with Matplotlib library.mp4 (22.4 MB) 1. Introduction to Visualisation Section.mp4 (15.6 MB) 10. Create a Pie Chart.mp4 (10.6 MB) 4. Download, Install and Setup Anaconda on Mac 3. Open Conda from Terminal and Create Environment.mp4 (119.5 MB) 1.1 Prompts .zip (260.2 KB) 4. Environments & Libraries.mp4 (94.4 MB) 6. Closing Jupyter and Terminal.mp4 (51.3 MB) 2. Install Anaconda on Mac.mp4 (42.4 MB) 5. Open Jupyter Notebook.mp4 (29.6 MB) 1. Download Anaconda.mp4 (29.2 MB) 10. Working with a DataFrame 2.1 Prompts_DataFrames.zip (262.3 KB) 3. Working with missing (NaN) values.mp4 (98.4 MB) 2. Importing a dataframe from CSV.mp4 (95.5 MB) 4. Extracting numbers from a string column.mp4 (56.9 MB) 10. Filter by one and more than one columns.mp4 (44.3 MB) 8. Filtering by multiple column conditions.mp4 (43.7 MB) 5. Filter & Sort Columns.mp4 (40.8 MB) 7. Filtering data frame by specific columns values.mp4 (31.3 MB) 6. Identify and remove duplicate rows.mp4 (31.2 MB) 1. Intro to DataFrame section.mp4 (26.2 MB) 9. Filter text columns by parsing strings.mp4 (25.5 MB) 12. Working with Multiple DataFrames 1.1 Prompts_Combining_Multiple_Dataframes.zip (261.4 KB) 3. Merging Dataset based on one KEY column.mp4 (72.4 MB) 5. How parameter for merging multiple dataframes.mp4 (63.3 MB) 7. Merging dataset with Left & Right Join by using different key parameters.mp4 (43.1 MB) 2. Combine DataFrames with Concat & Append.mp4 (39.7 MB) 4. Merging based on multiple columns.mp4 (36.7 MB) 6. Combining dataframes using Left Join.mp4 (34.9 MB) 1. Intro to the Dataset used in this section.mp4 (31.1 MB) 9. Series in Pandas 1.1 Prompts_Series .zip (531.3 KB) 6. Importing a column as a Series from CSV.mp4 (86.1 MB) 7. Apply basic functions on series data set.mp4 (82.9 MB) 2. What are Series.mp4 (74.6 MB) 9. Custom Functions and .apply() on a Series.mp4 (72.6 MB) 5. Understanding the PD.Series Function with GPT.mp4 (70.9 MB) files
Added:	2023-05-29 00:04:44
Language:	English
Peers:	Seeders : 29 , Leechers : 87
Release name:	Prompt Engineering for Data Analysis Python, Pandas, ChatGPT
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