Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 40 Minute(s)
Language
English
Taught by
Analytix AI
Rating
Course Overview
Master Python for EDA with Pandas, Matplotlib, Seaborn, Scikit-learn, and ChatGPT - from Novice to Data Analysis Hero
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 Content
- 10 section(s)
- 27 lecture(s)
- Section 1 Setting Up Your Analysis Environment
- Section 2 Data Cleaning: Tuning into Clarity with Expert Cleanup
- Section 3 Data Manipulation: Crafting Insights Through Manipulation Mastery
- Section 4 Exploring Frequency Analysis: Painting Insights with Data Palettes
- Section 5 Exploring Descriptive Analysis: Unraveling Insights in the World of Numbers
- Section 6 Exploring Group-by Method: Analyzing Numeric and Nominal Dimensions
- Section 7 Exploring Pivot Paradigm: Comprehensive Insights with Table Mastery
- Section 8 Exploring Relational Analysis: The Dance of Correlation Analysis Unveiled
- Section 9 Your Next Journey of Learning
- Section 10 Practice Time!
What You’ll 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.
Skills covered in this course
Reviews
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PPratham Palkar
Covers all the basics well. Good jumpstart course for starting data analysis in python.
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SShiv Murti
IT WAS GOOD.
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PPaloma Jimeno
Very basics functions taking too much time in explanations that are not needed. Even the name of the course was confusing because I thought it would teach about ChatGPT but what it does is to ask ChatGPT about the actions to be done. I do not need a course to see how ChatGPT provides me the code to use
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SSultana Akhtar
The course instructor's clear explanations and step-by-step demonstrations made learning exploratory data analysis with Python both engaging and rewarding.
