DAT 110 - Data Analytics and Visualization for Business

Course Description

Equip yourself with the fundamental knowledge of applied data science. Explore the analytic process, analytic problem-framing, statistics foundation, data preparation, and visualization to optimize organizational performance. Students will gain hands-on experience wrangling data of different types and shapes. Learn how to summarize and derive insight from data through visualization and dashboarding.

The course is designed with comprehensive lab activities and a hands-on mini-project.

This course is delivered in collaboration with WeCloudData.

Course Details

Learning Outcomes

By the completion of this course, successful students will be able to:

• Apply data transformation on structured data using Python data analysis library Pandas
• Apply basic statistical analysis and data visualization on structured data using Python’s scientific computing libraries such as Numpy and Scipy
• Evaluate use cases of data analytics such as cohort analysis, segmentation, visual story telling, etc. in the financial, telecommunications, and SaaS industries
• Explain the general data analytics processes including the tools and steps required.
• Learn how the processes can be adapted to different analytics use cases
• Implement data visualization dashboards with tools such as PowerBI or Python
• Develop key business performance, opportunities and challenges that help business stakeholders

Topics

• Python Programming Refresher
• Data Science Workflow
• Data Wrangling Basics
• Statistics Essentials for Data Visualization
• Data Exploration and Visualization with Python
• Visual Storytelling with PowerBI Dashboard

Who is this course for?

This course is designed for:

• Business associates, project managers
• Professionals from every level or industry who work with analytics or data
• BI/Data analysts who want to go beyond Excel and improve their data handling and visualization skills
• Recent graduates and academics in Computer Science
• Individuals who are aspired to pursue career opportunities like Data Analyst, Data Science Analyst, Data Scientist

Notes

Software Requirement

To complete the lab activities and mini-project, you will require: 

• Anaconda Python Distribution or Google Colab

Applies Towards the Following Program(s)

• Machine Learning and Visualization : Required