Ementorhub

What you'll learn

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.

Skills you'll gain

Data Integration

Data Manipulation

Pivot Tables And Charts

Data Visualization

Data Import/Export

Matplotlib

Pandas (Python Package)

NumPy

Data Processing

Data Presentation

Descriptive Statistics

Data Cleansing

Specialization - 5 course series

The final project provides students with an opportunity to apply the knowledge gained throughout the specialization in a real-life data wrangling project of their interest. Participants will follow the data wrangling pipeline step by step, from identifying data sources to processing and integrating data, to achieve a fine dataset ready for analysis. This course enables students to gain hands-on experience in the data wrangling process and prepares them to handle complex data challenges in real-world scenarios.

Data Collection and Integration

Data Understanding and Visualization

Data Processing and Manipulation

Data Wrangling with Python Project