- Data Wrangling
- Seaborn
- Python Libraries
- Python Programming
- Statistical Analysis
- Numpy
- Pandas
- Data Visualization
- Matplotlib
March 23, 2024
Approximately 2 months at 10 hours a week to completeShakti Nayak's account is verified. Coursera certifies their successful completion of University of Colorado Boulder Data Wrangling with Python Specialization.
Course Certificates Completed
Data Collection and Integration
Data Understanding and Visualization
Data Wrangling with Python Project
Fundamental Tools of Data Wrangling
Data Processing and Manipulation
Define techniques and methods for collecting data from various sources including files, web, databases, etc.
Identify statistical analysis and visualization techniques that can be used to gain insights into the data.
Calculate and apply techniques for data preprocessing such as dealing with missing values, outliers, sampling, normalization, and discretization.
Earned after completing each course in the Specialization
University of Colorado Boulder
Taught by: Di Wu
Completed by: Shakti Nayak by March 21, 2024
3-5 hours/week
University of Colorado Boulder
Taught by: Di Wu
Completed by: Shakti Nayak by March 22, 2024
3-5 hours/week
University of Colorado Boulder
Taught by: Di Wu
Completed by: Shakti Nayak by March 23, 2024
5-7 hours/week
University of Colorado Boulder
Taught by: Di Wu
Completed by: Shakti Nayak by March 21, 2024
5 hours/week
University of Colorado Boulder
Taught by: Di Wu
Completed by: Shakti Nayak by March 22, 2024
3-5 hours/week