Posted by ChatGPT is one of the most popular generative AI tools launched in recent times. Professionals from all fields of work have started using ChatGPT to assist in their personal or professional work. From writing emails to generating codes to completing college assignments, ChatGPT has proved to be an efficient assistant. And probably because of its unmatched speed and accuracy, it has managed to garner a huge user base. It reached 100 million users in just 3 months of its launch.
So when everyone is trying their hands on this exceptional AI tool, then why data science professionals would be left behind? ChatGPT has also proven to be very effective in assisting these professionals to perform various tasks they come across in their data science career, right from planning to deployment of models as well as performing exploratory data analysis.
Here we will have a look at different ways data science professionals can leverage the power of ChatGPT to perform data analysis. Whether you are a beginner or a pro, ChatGPT will be a great tool for you.
Different tasks where ChatGPT is used in data analysis
Data analysis, as we know, refers to the process of working on raw data and drawing meaningful insights out of them to support data-driven business decisions making. Professionals use their data science skills in the data analysis process that involves a lot of tasks. So, let us find out how to use ChatGPT for each of the following processes:
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Project Planning
Project planning is by far the most important step in designing a data analysis project. It takes into account the resources available, the goal of the project, and the strategies needed to design the project.
ChatGPT can help to develop an analysis plan and gather data sources. It can also be used to define project budget and completion timeline too. ChatGPT can also prove effective in managing and mitigating risks.
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Data Scrapping
Data is another important thing without which any data analysis project is just an idea. For a fruitful project, the quality of data matters a lot. Therefore, data scrapping refers to the collection of data through various sources over the web to collect relevant and huge amounts of data. This could be impossible if done manually.
ChatGPT helps to identify data sources and generate web scrapping codes saving a lot of time and effort in manually identifying the source and writing codes manually. It does the task accurately within no time.
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Data Cleansing, filtration, and formatting
When the data is required for the project, the result can be highly accurate. And this gives rise to the need for data cleansing, filtration, and formatting. The raw data obtained from web scrapping or other sources may include unnecessary and irrelevant data.
Hence, ChatGPT can be used to catch errors, eliminate unnecessary data, and format in a similar manner.
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Visualization
Though ChatGPT is a text-based generative AI, it can be used in the data visualization process as well. It can help you determine what kind of visualization method would be best for your data sets that will convey the desired result to the stakeholders. It can also help in generating required codes for data visualization tools and alleviate your manual coding practices.
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Exploratory data analysis
It is the final step of any data analysis project that involves analyzing data and drawing insights. This involves finding the characteristics of data fields and their relations together. A detailed and efficient exploratory data analysis can result in bringing about transforming data-driven decisions.
ChatGPT can help to guide in selecting which variables or relationships to examine, help get suggestions to optimize the data analysis process, and obtain an informative summary of statistics of the database.
Benefits of Using ChatGPT for data analysis
So, we saw how ChatGPT can be used to perform different data analysis tasks with ease. There are several benefits of using this incredible tool:
- It performs tasks with utmost accuracy
- It is fast and reliable
- It can save a huge time so that data science professionals can focus on designing and implementing strategies, training other professionals, or doing some other important work.
Overall, it is a great assistance for data analysts and data scientists.
Conclusion
When you aim to get into a data science career, you undoubtedly have to perform these tasks. And if you are well equipped with the essential data science skills, leveraging the power of ChatGPT will help you save a lot of time and effort and allow you to be more creative and innovative in your career.