Let us dive more into Python, how about data?
Data Manipulation with Pandas
Designed to teach learners how to efficiently manipulate, clean, and preprocess data using the powerful Pandas library in Python. Pandas is widely used in the data science field for its flexible data structures and comprehensive data manipulation capabilities. This course covers essential concepts and techniques for working with data using Pandas.
* Introduction to Pandas.
* Data Importing and Exporting.
* Data Cleaning and Preprocessing.
* Data Manipulation.
* Data Aggregation and Grouping.
* Merging and Joining Data.
* Time Series Analysis.
* Data Transformation and Feature Engineering.
* Course Project.
Advanced Data Visualization
Create visually compelling and informative data visualizations using Matplotlib, Plotly, and Seaborn Libraries. These libraries offer a wide range of tools and functionalities for creating static, interactive, and statistical visualizations. The course covers various aspects of data visualization to effectively communicate data insights and patterns.
* Introduction to Data Visualization.
* Matplotlib.
* Advanced Matplotlib Techniques.
* Seaborn.
* Advanced Seaborn Techniques
* Plotly.
* Geographic Data Visualization.
* Dashboarding and Interactive Visualization
* Styling and Aesthetics
* Course Project.
Exploratory Data Analysis
Coming Soon!
Statistical Analysis with Python
Coming Soon!
Machine Learning with Python
Coming Soon!
Web Scraping and Data Acquisition
Coming Soon!
Data Wrangling and Transformation
Coming Soon!
Big Data Analytics with Python
Coming Soon!
Data Storytelling and Communication
Coming Soon!
