Python and Data Analytics

Issued by Southern Alberta Institute of Technology

Still being developed (WAIT) This course introduces basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data and learn how to use data analysis libraries like pandas, NumPy, and Matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization.

Level Intermediate

Additional Details

Skills

Analyze Data
Basic Data Visualization
Data Analysis Libraries
Data Frames
Data Science Techniques
Machine Learning Algorithms
NumPy
Pandas
Python
Statistical Functions

Earning Criteria

Data Preprocessing
Descriptive statistics and Visualization
Machine Learning Algorithm