This course contains everything you need to know about Data Science Business Applications. In the Career Overview section you will become familiar with the many and varied Data Science roles and understand the overlaps between them.

I will also be running through some of my own projects that were created with a business mindset to grab the attention of employers and colleagues. Additionally, we will talk through some of the common questions that occur in data science interviews that pertain to coding, statistics, and general data science acumen.

Then we will walk through some additional exercises to prepare for data science coding challenges, as well as discuss resumes and cover letters as they pertain to the world of data science. Section 3 takes you through examples of real projects and how to go about finding data Finally, we end with an overview of additional data analysis software such as Github, SQL Tableau and Excel.

Topics that will be covered

1. Data Science Career Overview

• Roles
• Resumes
• Cover Letters

2. Interviews

• Interview Questions on Python, R and Machine Learning
• Python Coding Challenges

3. Projects

• Web Scraping
• Finding Datasets
• Education

4. Additional Data Analysis Software

• Github
• SQL
• Tableau
• Excel