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GPT-4 Data Analyst: Fast-track Data Analysis with AI

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GPT-4 Data Analyst: Fast-track Data Analysis with AI, available at $19.99, has an average rating of 4.25, with 34 lectures, based on 118 reviews, and has 1634 subscribers.

You will learn about 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. This course is ideal for individuals who are Data analyst or enthusiast want to enhance their data analysis efficiency or Anyone wants to simplify and fasten data analysis workflow with ChatGPT It is particularly useful for Data analyst or enthusiast want to enhance their data analysis efficiency or Anyone wants to simplify and fasten data analysis workflow with ChatGPT.

Enroll now: GPT-4 Data Analyst: Fast-track Data Analysis with AI

Summary

Title: GPT-4 Data Analyst: Fast-track Data Analysis with AI

Price: $19.99

Average Rating: 4.25

Number of Lectures: 34

Number of Published Lectures: 34

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will 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.

Who Should Attend

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

Target Audiences

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

Dive into the world of data analysis with our course, “GPT-4 Data Analyst: Fast-track Data Analysis with AI.” 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.

Course Curriculum

Chapter 1: Setting Up Your Working Environment

Lecture 1: Opening a ChatGPT Account

Lecture 2: Practice Datasets

Chapter 2: Data Analysis and Its Workflow

Lecture 1: What is data analysis?

Lecture 2: Complete data analysis workflow

Chapter 3: Statistical Analysis and Its Workflow

Lecture 1: Statistical data analysis

Lecture 2: Confidence level, significance level & P-value

Lecture 3: Complete hypothesis testing workflow

Chapter 4: Rapid Data Cleaning via GPT-4

Lecture 1: Getting Started with GPT-4 Data Analyst

Lecture 2: Identify missing values

Lecture 3: Impute missing values

Lecture 4: Exploring data types

Lecture 5: Finding inconsistent values

Lecture 6: Dropping inconsistent values

Lecture 7: Dealing with duplicates

Chapter 5: Instant Data Manipulation via GPT-4

Lecture 1: Sorting dataset

Lecture 2: Filtering datasets

Lecture 3: Inner joining method

Lecture 4: Other joining methods

Lecture 5: Box-cox transformation

Lecture 6: Feature binning

Lecture 7: Feature encoding

Lecture 8: Creating dummy variables

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

Lecture 1: Nominal data analysis

Lecture 2: Descriptive analysis

Lecture 3: Group by data analysis

Lecture 4: Crosstabulation analysis

Lecture 5: Correlation analysis

Chapter 7: Quick Hypothesis Testing via GPT-4

Lecture 1: One-way ANOVA analysis

Lecture 2: Pearson correlation analysis

Lecture 3: Regression analysis

Chapter 8: Build Machine Learning Models via GPT-4

Lecture 1: Feature scaling and preprocessing

Lecture 2: Splitting data into train and test sets

Lecture 3: Build and evaluate ML models

Chapter 9: DO NOT Miss This!

Lecture 1: Specialised Handbook for Business Intelligence

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 3 votes
  • 3 stars: 10 votes
  • 4 stars: 26 votes
  • 5 stars: 77 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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