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Data Wrangling with Python Project

This course is part of Data Wrangling with Python Specialization

Instructor: Di Wu

What you'll learn

Initiate and conduct a data wrangling project from raw data to a refined dataset for analysis.

Apply data wrangling techniques learned in the specialization to handle real-life data scenarios.

Utilize Python libraries and tools effectively for data wrangling tasks. Communicate and present data wrangling results effectively to stakeholders.

Skills you'll gain

Data Cleansing

Data Transformation

Data Processing

Statistical Analysis

Data Manipulation

Statistical Visualization

Data Wrangling

Data Analysis

Exploratory Data Analysis

Data Validation

Data Collection

Data Integration

Data Quality

Pivot Tables And Charts

Dimensionality Reduction

There are 5 modules in this course

Throughout the course, students will work on their data wrangling project, applying the knowledge and skills gained in each module to achieve a refined and well-prepared dataset. By the end of the course, participants will be proficient in the data wrangling process and ready to tackle real-world data challenges in diverse domains.

Identify Your Data

Data Collection and Integration

Data Understanding and Visualization

Data Processing and Manipulation

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