About 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.
This course will cover:
- 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
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 | ||
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