Easy Python Hacks For Mastering Data Manipulation Techniques

Master in Data cleaning and preprocessing with Smooth, Easy and Uncomplicated coding experience in Python using ChatGPT.

What you'll learn

Develop a strong foundational understanding of data manipulation principles and processes, enabling you to confidently handle real-world datasets.

Rapidly analyze data using Python, grasping essential concepts and techniques to efficiently extract insights from raw information.

Configure and set up ChatGPT to enhance your Python programming experience, leveraging AI to streamline your coding tasks.

Implement efficient data cleaning strategies, including handling various Python datatypes, addressing missing values, outliers, and duplicate entries.

Leverage advanced data preprocessing techniques, such as feature encoding, feature binning, sorting, filtering, merging datasets, etc.

Navigate and manage data distribution effectively, ensuring your data is properly structured and ready for analysis.

Confidently work with date variables, ensuring accurate and meaningful analysis of time-based data.

Learn data visualizations using Python and ChatGPT, including bar charts, pie charts, line plots, histograms, box plots, and scatter plots.

Apply the acquired skills through practical exercises and hands-on practice, reinforcing your understanding of each concept and technique.

Requirements

No prior experience is required to take this course.

Beginners are most welcome.

Basic computer literacy.

Interest in data analysis.

Description

Welcome to "Easy Python Hacks for Mastering Data Manipulation Techniques," your comprehensive guide to becoming a proficient data handler through the power of Python and ChatGPT. In this course, we will demystify the art of data manipulation, equipping you with the skills needed to effortlessly clean, preprocess, and transform data for insightful analysis.Course Overview:Data manipulation is the backbone of data analysis, and this course is designed to empower you with the fundamental concepts and advanced techniques required to navigate this critical process. Whether you're a newcomer to the world of data or a seasoned professional, our step-by-step approach will ensure you gain mastery over data cleaning and preprocessing, using Python with ChatGPT as your trusty companions.What You'll Learn:Building the Foundation: Lay the groundwork with an in-depth understanding of the data manipulation process. Learn how to harness data to extract valuable insights and drive informed decision-making. Practice exercises will solidify your knowledge.Python Essentials: Dive into Python, the language of choice for data analysis. Discover how to perform swift data analysis and understand its potential. Get started quickly with Python on both Windows and Mac platforms.ChatGPT Unleashed: Unlock the power of ChatGPT to supercharge your Python coding experience. Set up ChatGPT effortlessly and explore its capabilities in accelerating your coding endeavors.Easy Data Cleaning: Streamline your data with efficiency. Load datasets in Jupyter notebooks, handle diverse Python datatypes, tackle missing values, outliers, and duplicates with ease. Practice what you learn to reinforce your skills.Effortless Data Preprocessing: Elevate your data preprocessing prowess. Learn feature encoding, binning, and creating dummy variables. Master data sorting, filtering, and the art of dataset merging and concatenation. Tackle data distribution and confidently work with date variables. Practice extensively to enhance your confidence.Simplified Data Visualization: Elevate your data presentations with compelling visualizations. Craft bar charts, pie charts, and line plots to communicate insights effectively. Dive into histograms, box plots, and scatter plots to bring your data to life.Why Enroll:This course is your gateway to becoming a proficient data manipulator. With a focus on hands-on practice, you'll build a solid foundation in data manipulation and preprocessing. Whether you're pursuing a career in data science, business analysis, or simply curious about data's transformative power, this course is tailored for you.Who Should Enroll:Aspiring Data AnalystsBusiness ProfessionalsData EnthusiastsAnyone seeking to master data manipulation and preprocessingPython enthusiasts eager to expand their skill setEnroll now and embark on a transformative journey of mastering data manipulation with the ease of Python and the power of ChatGPT. Join us as we unravel the complexities of data cleaning, preprocessing, and visualization, making the process smooth, effortless, and uncomplicated. Your mastery of data manipulation begins here.

Overview

Section 1: Necessary foundation on Data manipulation

Lecture 1 Understanding data manipulation process

Section 2: Necessary foundation on Python

Lecture 2 Python for Data Analysis (An Overview)

Lecture 3 Installation and activation of Python for windows

Lecture 4 Installation and activation of Python for mac

Section 3: Necessary foundation on ChatGPT

Lecture 5 Setting up ChatGPT

Lecture 6 Effortless python programming with ChatGPT (An Overview)

Section 4: Easy Hacks of Data Cleaning with Python & ChatGPT

Lecture 7 Loading dataset in Jupyter notebook environment

Lecture 8 Identifying and assigning correct data types

Lecture 9 Defining and imputing techniques of missing values

Lecture 10 Defining and removing abnormal values or harmful outliers

Lecture 11 Defining and removing duplicates values from dataset

Section 5: Easy Hacks of Data Preprocessing with Python & ChatGPT

Lecture 12 Feature encoding: assigning numeric values to categorical variables

Lecture 13 Feature binning: converting numeric variables into categorical variables

Lecture 14 Creating dummy variables of categorical variables

Lecture 15 Sorting and filtering dataset following conditions

Lecture 16 Merging two datasets horizontally or adding extra variables

Lecture 17 Concatenating two datasets vertically or adding extra data

Lecture 18 Various methods of transforming skewed data into normally distributed data

Lecture 19 Extracting days, months and year from date variable

Section 6: Easy Hacks of Data Visualizations with Python & ChatGPT

Lecture 20 Categorical variables visualizations: Bar chart, Pie chart and Line plot

Lecture 21 Numeric variables visualizations: Histogram, Boxplot and Scatterplot

Beginner and aspiring data analysts.,Students or individuals entering the field of data analysis.,Python enthusiasts eager to apply their skills to real-world data scenarios.,Curious about using AI-assisted coding with ChatGPT for data analysis.,Researchers and academics exploring data analysis and preprocessing techniques.