Gpt-4 Data Analyst: Analyze Data In Seconds

Leverage the Powerful ChatGPT-4 to Clean, Manipulate, Analyze Data and Develop ML Models Instantly, Easily and Smoothly.

What you'll learn

Learn to efficiently prepare and clean datasets using GPT-4, including handling missing data, outliers, and data type conversions.

Master the use of GPT-4 for advanced data manipulation tasks, such as merging datasets, creating pivot tables, and applying conditional logic.

Gain proficiency in using GPT-4 to perform complex data analysis, including statistical analysis, trend identification, and pattern recognition.

Develop skills to utilize GPT-4 for creating and interpreting a variety of data visualizations, such as histograms, scatter plots, and line graphs.

Learn to apply GPT-4 for predictive analytics, including random forest regressor and other machine learning models.

Acquire the ability to automate repetitive data analysis tasks using GPT-4, enhancing efficiency and productivity.

Requirements

Knowledge in python programming

Laptop/Desktop and Internet

Description

Dive into the world of data analysis with our course, "GPT-4 Data Analyst: Analyze Data in Seconds." This comprehensive course is designed to equip you with the skills to harness the power of ChatGPT-4, enabling you to clean, manipulate, analyze data, and develop machine learning models with unprecedented ease and efficiency. Whether you're a beginner eager to step into the realm of data analysis or a seasoned professional looking to streamline your workflow, this course offers valuable insights and techniques to enhance your capabilities.Throughout this course, you'll embark on a journey through the essentials of data preparation, including dealing with missing data, outliers, and converting data types, ensuring your datasets are clean and analysis-ready. You'll then advance to mastering complex data manipulation tasks, such as merging datasets, creating pivot tables, and implementing conditional logic to uncover insights. Additionally, you'll gain hands-on experience in executing sophisticated data analysis, identifying trends, patterns, and making predictions using advanced machine learning models like the random forest regressor.Beyond analysis, this course will teach you how to create compelling data visualizations and automate repetitive tasks, significantly boosting your productivity. By the end of this course, you'll have a solid foundation in utilizing GPT-4 for data analysis, equipped with practical skills to apply in real-world scenarios. Join us to transform your data analysis journey, making it instant, easy, and smooth with the cutting-edge capabilities of ChatGPT-4.

Overview

Section 1: Setting Up Your Working Environment

Lecture 1 Opening a ChatGPT Account

Lecture 2 Practice Datasets

Section 2: Data Analysis and Its Workflow

Lecture 3 What is data analysis?

Lecture 4 Complete data analysis workflow

Section 3: Statistical Analysis and Its Workflow

Lecture 5 Statistical data analysis

Lecture 6 Confidence level, significance level & P-value

Lecture 7 Complete hypothesis testing workflow

Section 4: Rapid Data Cleaning via GPT-4

Lecture 8 Getting Started with GPT-4 Data Analyst

Lecture 9 Identify missing values

Lecture 10 Impute missing values

Lecture 11 Exploring data types

Lecture 12 Finding inconsistent values

Lecture 13 Dropping inconsistent values

Lecture 14 Dealing with duplicates

Section 5: Instant Data Manipulation via GPT-4

Lecture 15 Sorting dataset

Lecture 16 Filtering datasets

Lecture 17 Inner joining method

Lecture 18 Other joining methods

Lecture 19 Box-cox transformation

Lecture 20 Feature binning

Lecture 21 Feature encoding

Lecture 22 Creating dummy variables

Section 6: Fast-track Data Analysis via GPT-4

Lecture 23 Nominal data analysis

Lecture 24 Descriptive analysis

Lecture 25 Group by data analysis

Lecture 26 Crosstabulation analysis

Lecture 27 Correlation analysis

Section 7: Quick Hypothesis Testing via GPT-4

Lecture 28 One-way ANOVA analysis

Lecture 29 Pearson correlation analysis

Lecture 30 Regression analysis

Section 8: Build Machine Learning Models via GPT-4

Lecture 31 Feature scaling and preprocessing

Lecture 32 Splitting data into train and test sets

Lecture 33 Build and evaluate ML models

Data analyst or enthusiast want to enhance their data analysis efficiency,Anyone wants to simplify and fasten data analysis workflow with ChatGPT