About This Course
Who this course is for:
- Business owners
- Data scientists
- Data analysts
What you’ll learn:
- The different data science titles and roles
- Resume and cover letter writing tips to help you sell yourself more effectively
- Sites that help in developing effective resumes and cover letters
- Mock interview questions about Python, R, Machine learning
- Python coding challenges
- How to present data science projects
- Software that you can use in data analysis
Requirements:
- No prior knowledge is required to take this course
The most important step to landing a job is being prepared. You’ll feel more in control and confident. In this course, you will learn how to prepare as a data scientist.
Our Promise to You
By the end of this course, you will have learned how to prepare for your job application as a data scientist.
30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.
Get started today and learn more about data science.
Course Curriculum
Section 1 - Data Science Career Overview | |||
Data Science Roles | 00:00:00 | ||
Data Science Resumes | 00:00:00 | ||
Data Science Cover Letters | 00:00:00 | ||
Section 2 - Interviews | |||
Python Interview Questions Part 1 | 00:00:00 | ||
Python Interview Questions Part 2 | 00:00:00 | ||
R Interview Questions | 00:00:00 | ||
Machine Learning – Statistics Interview Questions | 00:00:00 | ||
Python Coding Challenges | 00:00:00 | ||
Section 3 - Projects | |||
Web Scraping Project Part 1 | 00:00:00 | ||
Web Scraping Project Part 2 | 00:00:00 | ||
Finding Datasets | 00:00:00 | ||
Education Project Part 1 | 00:00:00 | ||
Education Project Part 2 | 00:00:00 | ||
Section 4 - Additional Data Analysis Software | |||
Github | 00:00:00 | ||
SQL | 00:00:00 | ||
Tableau | 00:00:00 | ||
Excel Or Google Sheets Part 1 | 00:00:00 | ||
Excel Or Google Sheets Part 2 | 00:00:00 | ||
Outro | 00:00:00 |