Pandas
Welcome to Realcare Tech Mark's Online Pandas Course, where you will dive into the world of data manipulation and analysis with one of the most powerful data manipulation libraries in Python—Pandas. Whether you're a data scientist, analyst, or enthusiast, this course is tailored to enhance your skills in handling, cleaning, and analyzing data efficiently using Pandas.
Curriculum
- 9 Sections
- 27 Lessons
- 0 Quizzes
- 0 Google Meets
- 0m Duration
Introduction to Pandas
3 Lessons0 Quizzes0 Google Meets
- Overview of Pandas and its Applications
- Installation and Setup
- Introduction to Series and DataFrame
Data Loading in Pandas
3 Lessons0 Quizzes0 Google Meets
- Reading Data from Different Sources
- Importing CSV, Excel, and SQL Data
- Handling Data Formats and Options
Exploratory Data Analysis with Pandas
3 Lessons0 Quizzes0 Google Meets
- Descriptive Statistics
- Data Distribution Analysis
- Correlation and Covariance
Indexing and Selection in Pandas
3 Lessons0 Quizzes0 Google Meets
- Indexing Techniques in Pandas
- Selection and Slicing
- Conditional Indexing
Data Cleaning in Pandas
3 Lessons0 Quizzes0 Google Meets
- Handling Missing Values
- Removing Duplicates
- Outlier Detection and Treatment
Data Transformation in Pandas
3 Lessons0 Quizzes0 Google Meets
- Merging and Concatenating DataFrames
- Pivoting and Melting DataFrames
- Grouping and Aggregation
Time Series Analysis with Pandas
3 Lessons0 Quizzes0 Google Meets
- Working with Date-Time Indexing
- Resampling and Shifting Time Series Data
- Analyzing Time Series Patterns
Visualization with Pandas
3 Lessons0 Quizzes0 Google Meets
- Creating Basic Plots with Pandas
- Customizing Plots for Data Communication
- Visualizing Time Series Data
Advanced Pandas Features
3 Lessons0 Quizzes0 Google Meets
- Hierarchical Indexing
- Multi-Indexing in Pandas
- Working with Large Datasets