Data Wrangling with Pandas

Data Wrangling with Pandas is an intensive course designed to equip participants with the essential skills needed for effective data manipulation and analysis using the Pandas library in Python. The course structure emphasizes hands-on projects that facilitate learning through practical application, allowing participants to engage deeply with real-world datasets. By the end of the program, learners will possess a robust understanding of data cleaning, transformation, and preparation techniques critical for data-driven decision-making in various professional contexts.
The curriculum is crafted to foster an interactive environment where participants can collaborate and share insights, with opportunities to publish their findings in Cademix Magazine. This course covers a wide range of topics, ensuring that learners not only grasp theoretical concepts but also apply them in practical scenarios. Participants will engage in a final project that consolidates their learning, showcasing their ability to manipulate and analyze data effectively using Pandas.
Introduction to Pandas: Installation and Setup
Data Structures: Series and DataFrames
Importing and Exporting Data: CSV, Excel, JSON
Data Cleaning Techniques: Handling Missing Values and Duplicates
Data Transformation: Merging, Joining, and Concatenating DataFrames
Data Aggregation and Group Operations
Time Series Analysis: Date and Time Manipulations
Data Visualization Basics with Pandas
Advanced Indexing and Selection Techniques
Final Project: Real-world Data Wrangling Challenge

Develop proficiency in data wrangling using Pandas for effective data analysis and visualization.

Graduates, job seekers, business professionals, researchers, and consultants.

Basic knowledge of Python programming and familiarity with data analysis concepts.