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:
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.
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:
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.
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.
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.
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.
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.
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.
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:
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:
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.
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.2. How can data scientists use ChatGPT?
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.3. Is ChatGPT a data science?
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.Share this on