Data Science Unleashed:ChatGPT for Advanced Analytics

Name: Data Science Unleashed:ChatGPT for Advanced Analytics
Rating: 4.2 (82 reviews)

ChatGPT in Action: Mastering Data Preprocessing, Visualizations, and Machine Learning Techniques| GPT-4 | Data Science.

Created byFarah Farah

Last updated 10/2023

English

English [Auto],

What you'll learn

Advanced Analytics Mastery: Grasp ChatGPT's data analytics features to extract meaningful insights from diverse datasets efficiently.
Data Preprocessing Mastery: Utilize ChatGPT to effectively clean, preprocess, and transform raw data, ensuring it's optimized for analysis.
Predictive Modeling Skills: Harness ChatGPT to build robust predictive models, forecasting outcomes with precision.
Dynamic Data Visualization: Master the art of crafting compelling visualizations with ChatGPT, turning data into informative and actionable graphics.
Real-World Application: Translate theoretical knowledge into practical skills by working hands-on with real-life datasets, guided step by step through ChatGPT.

Course content

2 sections • 10 lectures • 41m total length

Data Science Overview2:53
Learn data science fundamentals with ChatGPT through hands-on projects, defining objectives, collecting and cleaning data, and evaluating models with accuracy, R-squared, and RMSE.

Enable and Access Data analysis feature0:56
Navigate to the main page, click the bottom left three dots, go to settings and beta features, and turn on the advanced data analysis toggle in ChatGPT.
Read & Clean Data5:16
Analyze World Bank carbon dioxide emissions data (1960-2022), clean and restructure the data, and develop a time series forecast of global emissions.
Preprocess data3:55
Explore data preprocessing workflows by using ChatGPT to guide missing value handling in time series, demonstrating drop missing values and removing years with all nulls.
Data visualizations3:10
Plot average global CO2 emissions per capita from 1990 to 2020, revealing an upward trend with a 2020 decrease, using Python and matplotlib to visualize and adjust the line color.
Building a Machine Learning Model6:17
Build a polynomial regression model to predict emissions by year, compare it to linear regression, and show that polynomial regression achieves a lower mean squared error, better fitting the trend.
Example 2 - Part 17:28
Analyze the Titanic dataset with ChatGPT to perform exploratory data analysis, handle missing values, visualize distributions, and examine correlations that reveal survival patterns.
Example 2 - Part 22:43
Analyze Titanic survival patterns using ChatGPT-generated visualizations across ticket class, gender, and family size, highlighting how class and family size influence survival chances.
Example 2 - Part 35:47
Pre-process data with ChatGPT by handling missing values, outliers, and feature engineering, scaling, and converting categorical data to numerical features, then build a logistic regression model and evaluate with accuracy.
Example 2 - Part 42:54
Demonstrates generating an aesthetically appealing confusion matrix plot with ChatGPT for a logistic regression model, detailing true negatives, false positives, false negatives, and true positives, with downloadable code and plots.

Requirements

Basic Data Science Knowledge

Description

Dive into a transformative learning experience that uniquely blends theoretical knowledge with hands-on, real-world application. In this course, you will unlock the true potential of ChatGPT's advanced data analytics feature, enabling you to derive powerful insights from diverse datasets.

Starting with the fundamentals, you'll learn how to preprocess data, making it ripe for analysis. From there, we delve into the art of data visualization, helping you create compelling representations that speak volumes. But it's not just about insights; it's about prediction. Together, we'll embark on a journey to construct robust predictive models using ChatGPT, ensuring you're well-equipped to tackle real-world challenges.

What sets this course apart? It's our unwavering commitment to practicality. Unlike conventional courses, we prioritize real-life examples on ChatGPT, allowing you to follow along, step by step, as we navigate the vast landscape of data science. This immersive approach ensures that theory meets practice, giving you an edge in your data science endeavors.

But our journey doesn't stop there. Recognizing the unique intricacies of individual learning, I wholeheartedly encourage all students to reach out with any questions or topics they'd like to delve deeper into. Whether you're seeking extra lectures or a further live demonstration, I'm here to ensure your learning experience is tailor-made to your needs.

Who this course is for:

Generative AI Enthusiasts: If you've been captivated by the vast potentials of Generative AI and wish to understand how it intersects with data analytics, this is the course for you. Dive deep into practical applications and real-world scenarios using ChatGPT.
Data Science Enthusiasts: Whether you're just starting your journey in the realm of data or you're a seasoned professional looking to diversify your skill set, this course offers a unique blend of traditional data science methodologies and the power of Generative AI.

Data Science Unleashed:ChatGPT for Advanced Analytics

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 3min

Advanced Data Analytics9 lectures • 38min

Requirements

Description

Who this course is for: