Hands-on Exploratory Data Analysis in Python + ChatGPT 3.5

Hands-on Exploratory Data Analysis in Python + ChatGPT 3.5, available at $94.99, has an average rating of 4.1, with 28 lectures, 16 quizzes, based on 31 reviews, and has 2208 subscribers.

You will learn about Gain a deep understanding of essential Python libraries for data analysis, including pandas, matplotlib, seaborn, and scikit-learn. Learn smart and effective techniques to uncover patterns, trends, and outliers in data, enabling data-driven decision-making. Leverage ChatGPT to receive real-time assistance in generating Python code snippets making programming accessible and efficient. Understand the art of storytelling with data, using visualizations to convey complex findings in a straightforward and understandable manner. Develop a comprehensive EDA project with the guidance of ChatGPT, reinforcing your skills and preparing you for real-world data analysis challenges. Apply acquired skills through practical, real-world projects that simulate industry scenarios. This course is ideal for individuals who are Beginner Data Enthusiasts and Aspiring Analysts or Business Professionals and Decision Makers or Professionals Transitioning to Data Roles It is particularly useful for Beginner Data Enthusiasts and Aspiring Analysts or Business Professionals and Decision Makers or Professionals Transitioning to Data Roles.

Enroll now: Hands-on Exploratory Data Analysis in Python + ChatGPT 3.5

Summary

Title: Hands-on Exploratory Data Analysis in Python + ChatGPT 3.5

Price: $94.99

Average Rating: 4.1

Number of Lectures: 28

Number of Quizzes: 16

Number of Published Lectures: 28

Number of Published Quizzes: 16

Number of Curriculum Items: 44

Number of Published Curriculum Objects: 44

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Gain a deep understanding of essential Python libraries for data analysis, including pandas, matplotlib, seaborn, and scikit-learn.
Learn smart and effective techniques to uncover patterns, trends, and outliers in data, enabling data-driven decision-making.
Leverage ChatGPT to receive real-time assistance in generating Python code snippets making programming accessible and efficient.
Understand the art of storytelling with data, using visualizations to convey complex findings in a straightforward and understandable manner.
Develop a comprehensive EDA project with the guidance of ChatGPT, reinforcing your skills and preparing you for real-world data analysis challenges.
Apply acquired skills through practical, real-world projects that simulate industry scenarios.

Who Should Attend

Beginner Data Enthusiasts and Aspiring Analysts
Business Professionals and Decision Makers
Professionals Transitioning to Data Roles

Target Audiences

Beginner Data Enthusiasts and Aspiring Analysts
Business Professionals and Decision Makers
Professionals Transitioning to Data Roles

Embark on a transformative journey into the realm of data exploration with our comprehensive course, “Professional Exploratory Data Analysis in Python & ChatGPT” Designed for both beginners and those seeking advanced insights, this course is your gateway to mastering the art of data analysis using Python’s powerful libraries. Through hands-on modules, we demystify the complexities of Pandas, Matplotlib, Seaborn, and Scikit-learn, empowering you to navigate and analyze datasets with precision.

Dive into the world of Python programming as we guide you through essential techniques in data cleaning, manipulation, and exploratory data analysis. Learn how to seamlessly handle missing values, inconsistencies, and duplicates, ensuring the integrity of your dataset. Discover the art of data manipulation, from sorting and filtering to merging and concatenating, providing you with the skills to reshape and transform data according to your analytical needs.

The course uniquely integrates ChatGPT, an AI-powered assistant, to simplify your Python programming experience. Benefit from real-time assistance in generating custom Python code for each analysis, making programming accessible and enjoyable. From exploring categorical variable distributions and conducting descriptive analyses to utilizing advanced statistical tools like pivot tables and crosstabulations, you’ll emerge not just as a data analyst but as a data storyteller, capable of deriving meaningful insights and making informed decisions.

Elevate your data analysis journey – from zero to hero – and unlock a world of possibilities with “Professional Exploratory Data Analysis in Python & ChatGPT”

Course Curriculum

Chapter 1: Setting Up Your Analysis Environment

Lecture 1: Install Python and Jupyter Notebook

Lecture 2: Setting Up ChatGPT Environment

Lecture 3: Connect with my youtube channel

Lecture 4: Get special handbooks

Lecture 5: Course Resources

Chapter 2: Data Cleaning: Tuning into Clarity with Expert Cleanup

Lecture 1: Loading Your Dataset and Setting the Stage

Lecture 2: Bridging Gaps by Handling Missing Values

Lecture 3: Reducing Mistakes by Addressing Inconsistent Values

Lecture 4: Dealing with Data Types for Ensuring Compatibility

Lecture 5: Identifying and Eliminating Duplicate Values

Chapter 3: Data Manipulation: Crafting Insights Through Manipulation Mastery

Lecture 1: Strategies of Sorting Dataset Easily

Lecture 2: Insightful Data Filtering Techniques

Lecture 3: Merging Data Stories by Adding Variables

Lecture 4: Completing Dataset by Proper Concatenation

Chapter 4: Exploring Frequency Analysis: Painting Insights with Data Palettes

Lecture 1: Unveiling Categorical Insights – Part 1

Lecture 2: Unveiling Categorical Insights – Part 2

Lecture 3: Unveiling Categorical Insights – Part 3

Chapter 5: Exploring Descriptive Analysis: Unraveling Insights in the World of Numbers

Lecture 1: Exploring Numeric Measures in Descriptive Analysis

Lecture 2: Analyzing Numeric Landscapes in Descriptive Analysis

Chapter 6: Exploring Group-by Method: Analyzing Numeric and Nominal Dimensions

Lecture 1: Group Dynamics: Unraveling Differences – Part 1

Lecture 2: Group Dynamics: Unraveling Differences – Part 2

Chapter 7: Exploring Pivot Paradigm: Comprehensive Insights with Table Mastery

Lecture 1: Pivoting Perspectives: Putting All Together – Part 1

Lecture 2: Pivoting Perspectives: Putting All Together – Part 2

Chapter 8: Exploring Relational Analysis: The Dance of Correlation Analysis Unveiled

Lecture 1: Measuring Categorical Association: Interlocking Insights

Lecture 2: Measuring Numeric Relationship: Unlocking Patterns

Chapter 9: Your Next Journey of Learning

Lecture 1: Resources for enhancing data analytics skill

Chapter 10: Practice Time!

Lecture 1: Download the Practice Dataset

Lecture 2: Utilize Python in real-world data analysis application

Instructors

Analytix AI
Unleashing the Power of Data with AI for Informed Insights.

Rating Distribution

1 stars: 1 votes
2 stars: 0 votes
3 stars: 2 votes
4 stars: 2 votes
5 stars: 26 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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