Learn how to increase your productivity using ChatGPT’s advanced analysis capabilities and perform data science analyses with Python. Read, process, analyze, and interpret data and solve data science problems with the help of ChatGPT.
In this course, you will learn how to utilize the power of ChatGPT and its advanced analysis tool. We'll tackle various data science problems, including exploratory data analysis, hypothesis testing, and we’ll work with Python's regex library, as well as develop a recommendation engine. Our key project involves using company data to address a machine learning issue—training a Naïve Bayes model to detect sentiment in user course reviews. But what's the real benefit for data scientists? For me, ChatGPT for data scientists’ foremost advantage lies in its time-saving efficiency, enhancing daily productivity by conducting data science tasks, writing code and debugging it. I'm confident it will boost your efficiency, too.
Discover how to conduct ChatGPT data analysis in (among others) real estate, retail, and the movie industry. Enhance your data science skills using ChatGPT and Python.
This section covers traditional methods, ChatGPT's role in data science, and steps to create a ChatGPT account.
This section—focusing on ChatGPT for data scientists—covers data preprocessing, exploratory data analysis (EDA), regular expressions, and building a recommendation engine before delving into AI ethics and detecting data biases with ChatGPT.
In this theoretical section we’ll discuss topics such as imbalanced data, Naïve Bayes algorithms what a confusion matrix is, and define metrics such as precision, recall and F1 score. All these will be the foundation for our Python case study involving classifying user reviews based on text data, also known as sentiment analysis.
In the final section of this course, we’ll delve into sentiment analysis by classifying user reviews. We’ll use our own 365 data and train a Naïve Bayes algorithm to classify user reviews as good or bad. At the end of the section we’ll test our model on a new validation set.
Student feedback
“AI and ChatGPT have had an enormous impact on society, and their power and capabilities will only grow from now on. It is our job as data science experts to ensure that the results we receive from the AI are accurate and meaningful. Furthermore, we bear the responsibility to use AI ethically and ensure that it has a positive impact on society.”
Head of Data Content at 365 Data Science
ChatGPT for Data Science
with Elitsa Kaloyanova
