Offered By: IBM
Data Scientist Job Guide: Resume & Interview Preparation
Build job-ready Data Science skills in less than a month, plus get valuable career development and a credential. No programming experience is required.
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Data Analysis
At a Glance
Build job-ready Data Science skills in less than a month, plus get valuable career development and a credential. No programming experience is required.
- Job-roles of a data scientist and some career path options as well as the prospective opportunities in the field.
- How to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work
- What can a candidate expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.
- How to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.
Course Syllabus
Welcome
- Reading: Course Introduction
- Reading: General Information
- Reading: Learning Objectives and Syllabus
- Reading: Grading Scheme
- Reading: Module 1 Introduction and Learning Objectives
- Video: Role of a Data Scientist
- Reading: Build your skills as a Data Scientist
- SME Video: Paths in Data Science
- Video: Opportunities in Data Science
- SME Video: Data Science Roles and Required Skills
- Video: Build Your Portfolio
- SME Video: Optimal Portfolios
- Video: Introduction to Data Science Professional Certificate
- Video: Draft Your Resume
- SME Video: Attention-Getting Resumes
- Lab: Draft Your Resume
- Reading: Draft Your Basic Cover Letter
- Lab: Create your Cover Letter
- SME Video: Standing Out from the Crowd
- Reading: Drafting Other Materials
- Reading: Drafting an Elevator Pitch
- Practice Quiz: Building a Foundation
- Graded Quiz: Building a Foundation
- Reading: Module 2 Introduction and Learning Objectives
- Video: Company and Industry Research in Data Science
- Video: Networking Online and Off
- SME Video: Building Your Network
- Video: Assessing Job Listings
- SME Video: A Closer Look at Job Listings
- Reading: Applying for a Job
- Video: Interview Rehearsal
- SME Video: Job Interview Preparation
- Lab: Prepare for an Interview
- Practice Quiz: Applying and Preparing to Interview
- Graded Quiz: Applying and Preparing to Interview
- Reading: Module 3 Introduction and Learning Objectives
- Video: Overview of the Interview Process
- SME Video: A Typical Interview Cycle
- Reading: Unethical Interviewing
- Video: Data Science Mock Interview - Part 1
- Video: Data Science Mock Interview - Part 2
- Video: Data Science Mock Interview - Part 3
- Video: Mock Interview Analysis
- Video: Best Practices: Getting an Interview
- Video: Best Practices: Interview Preparation
- Video: Coding Challenges in Data Science
- SME Video: Case Study Insights
- Reading: Second-Round Screen
- SME Video: Tech Screen Expectations
- Video: Final Interviewing
- SME Video: Interviewing
- Reading: After the Interview
- SME Video: Negotiations
- Reading: Checklist
- Practice Quiz: Interviewing
- Graded Quiz: Interviewing
- Reading: Congratulations and Next Steps
- Reading: Thanks from the Course Team
- Reading: Copyrights and Trademarks
It is a basic course and does not require any prerequisites. The basic knowledge of data science is an added advantage.
Certificate
Certificate Offered
Estimated Effort
3 Weeks
Level
Beginner
Industries
Skills You Will Learn
Career Development, Data Analysis, Interviewing Skills, Job Preparation, Resume Building
Language
English
Course Code
DS0291EN