How to Use Chat GPT for Data Science

ChatGPT has become a buzzword in the artificial intelligence industry. It is an advanced chatbot based on AI-driven technology. As per the Swiss Bank UBS, ChatGPT is the fastest-growing application ever. Within five days of its launch, the app had over one million active users. This number is constantly rising since then and has reached 1.16 billion now. The wide applications of ChatGPT in every industry are the primary reason behind the incredible growth in the adoption of the platform.

Data Science is one of the fastest-growing industries today. It also uses ChatGPT to enhance the overall data analysis process. There are several tasks that data scientists can perform more effectively with the help of ChatGPT. If you want to become a data scientist or are already one, you must understand what you can do with ChatGPT to perform better.

Before that, let us help you understand what ChatGPT is:

What is ChatGPT?

ChatGPT is an AI-based chatbot, which can converse like humans. It was launched by an AI & research company called OpenAI in November 2022. It is a natural language model (i.e., it understands the conversational tone of humans), which is trained on huge amounts of textual data from multiple sources.

The AI-based software can understand and write text in various languages. You can simply ask a question or order it to perform a particular task and ChatGPT comes up with the required solution in seconds.

What Data Scientists Can Do with ChatGPT?

From giving explanations to writing codes, ChatGPT can perform many simple and medium-complexity tasks for data scientists. The following are some most common tasks that data scientists can perform with ChatGPT:

1. Asking Questions

ChatGPT can answer any question very well. If you find a difficult-to-understand concept in data science, you can ask ChatGPT for a detailed explanation. It helps you understand even the most complex ideas with simple answers.

If it doesn’t give you a satisfactory answer at once, you can ask the chatbot to explain the concept differently. You can ask questions about data exploration, data analysis, data mining, data visualisation, machine learning, etc., and get a good understanding of these concepts.

ChatGPT doesn’t only give you the definitions, but you can even ask for real-life examples and applications of data science and its related fields. From difference-based questions to ‘how to,’ and simple explanations, data scientists can use ChatGPT to get detailed answers to any question.

2. Building ML Models

ChatGPT can even help data scientists with the code for building new ML models. You can provide the chatbot with the necessary data and ask it to write code for a machine-learning model. You can also specify the purpose that the ML model should serve.

If you want to estimate future outcomes, ask ChatGPT to build an ML model to predict the required values from the given dataset. Along with providing you with the code, ChatGPT also explains the steps and type of model it has built.

After getting the code, you can run it on Jupyter Notebook and check if it works. If it works, proceed further, if not, ask the chatbot to complete or update the code. You can continue the process until ChatGPT gives you the perfect code as per your needs. You only need to specify the errors and put your demands in the ChatGPT query.

3. Translating Python Code to R

If you are a data scientist proficient in Python but not the R programming language, ChatGPT can assist you. You can use ChatGPT to translate your Python code to R. Just write ‘Translate the following code to R’ and type your code in the ChatGPT query box.

Along with providing you with the required results, ChatGPT also explains the function used in the code and how you can use it in R. This is very useful for the data scientists who are not familiar with R. Along with getting your tasks done, you can use ChatGPT to learn a new coding language from scratch.

4. Natural Language to SQL Queries

Being a powerful natural language model, ChatGPT can write SQL queries by understanding the natural language inputs. The best use for this next-generation AI chatbot is for data scientists new to SQL, and those who find writing more complex queries challenging. ChatGPT’s ability to understand natural language inputs is one of the biggest advantages of using it for SQL queries.

5. Text Classifications

ChatGPT can even classify texts as positive or negative. You can provide the chatbot with a dataset containing different statements and ask ChatGPT to classify it as positive, negative, or neutral. ChatGPT uses Ml algorithms to identify patterns in the given text and then applies natural language recognition methods to understand its context.

With these techniques, the algorithm can recognise the type of text and categorise it accurately. For example, you can use ChatGPT to classify customer reviews and feedback as positive or negative.

6. Data Visualizations

Data visualisation is an integral part of data science as it helps you understand the trends and patterns in a dataset in a better way. You can also make data visualisations using ChatGPT. Just provide it with the dataset and specify the programming language & library that you want to be used.

For example, you can ask ChatGPT to create a linear regression with Python’s matplotlib function. It will write the code for you, and you can copy this code and paste it into Matplotlib to get the required plot.

Additional Tips on Interacting with ChatGPT

ChatGPT is not just about asking a question once and getting done with a single answer. There is much more you can do with this advanced AI tool. ChatGPT follows the concept of contextual awareness. Therefore, it doesn’t forget what you were talking about if you ask follow-up questions in the same thread. Here are some additional tips for data scientists to make the best use of ChatGPT:

• Write Clear and Concise Prompts: The more specific you are in asking the question, the better answers ChatGPT can come up with. Make sure that you stick to the topic and don’t ask tangential questions.
• Follow-up Questions: If you start with the basic definition of a certain term and want to explore more about it, you can always ask follow-up questions. For example, you can ask, ‘What is data science?’ Once ChatGPT answers, you can continue asking follow-up questions like ‘How is data science used in businesses?’
• Ask for Clarification: If ChatGPT answers your question but without a proper explanation, you can ask for clarification. Though ChatGPT always gives concise answers, you might need more elaborate answers sometimes.
• Mention Errors: If you find any errors in the answers and codes written by ChatGPT, don’t hesitate to mention them. You can ask to update the answers and come up with a correct explanation.
• Use natural language: ChatGPT is designed to understand natural language. You don’t need to use any complex technical terms to converse with ChatGPT. Just ask your questions in a simple conversational tone that you use with humans.

How to Become a Data Scientist?

You should have a working knowledge of mathematics, statistics, and computer science to succeed as a data scientist. After getting a degree, you can enrol in a data science course to enter the field. The following Data Science courses at Edvancer are among the best courses available in India:

• IBM Professional Certificate in Data Science
• Certified Data Science Specialist
• PG Program in Data Science – UPES
• Executive Program in Data Science for Managers

All four courses are available online with two learning modes: Self-paced and Live Online classes. You can choose one of the two learning styles at your convenience. With these courses, you get comprehensive coverage of all the necessary topics. You can also develop your practical knowledge with real industry projects.

The PG Program and Executive Program are advanced-level certifications for data scientists already working in the field. However, the other two courses are for beginners, who want to have an advanced level understanding before getting a job in data science.

FAQs

ChatGPT can perform certain data analysis tasks, but it cannot replace the expertise level of human data scientists. The AI-based chatbot can make data scientists’ tasks easier. But it cannot outperform them.

Data scientists can use ChatGPT for various purposes. They can ask questions, create visualisations, build ML models, and classify textual data with the help of ChatGPT.

ChatGPT is not a data science-based tool, but it has been designed using AI algorithms and uses the freely available information on the world wide web. It understands natural language and uses ML algorithms to identify patterns in datasets.