Week 5: Optional: Adding Data To Your Resume
A resume is one of the most crucial pieces of information that a data analytics professional has. Right information can make the difference between getting a good job and being promoted. This part of the course will demonstrate how to build focused and directed resumes with all relevant details employers need to see.
One major aspect of building a winning data analytics resume has been the listing of your outcomes. For example, programs such as the Google Data Analytics Professional Certificate accredited by Coursera clearly prove that as a graduate, you have gone beyond regular education to enhance your skills in knowledge and get certified in something. Also, it can be a dedication point to show the commitment to excellence in the field of data analytics.
Learning Outcomes:
- Identify key points in a data analyst resume.
Show: - How to add previous experience to your resume.
- Talk about how to align a data analyst job description with your particular area of interest.
Hands-On Activity: Build a resume
1. What is most important to consider when you select a resume format?
- Which format fits the most content
- Aesthetic appeal
- What you want to emphasize to potential employers (Correct)
- Which format hiring managers prefer
Correct: While choosing the format of resume, one should look what things he/she wants to have underlined. For the entry-level data analysts, it’s been suggested to keep the resume to only one page. To get started, a candidate is required to choose that template which is best suited based on the skills and experience. Thereafter, using that template, he/she can build a smashing resume that will help gain him/her an opportunity to secure an interview for a data analyst position.
Hands-On Activity: Adding skills to a resume
1. Which types of skills should you prioritize in your resume’s skills section? Select all that apply.
- Soft skills
- Technical skills (Correct)
- Data-related skills (Correct)
- Interpersonal skills
Correct: So basically, when putting together a really strong skills section on your CV, remember to include strong technical and data skills. In the meantime, soft and interpersonal skills can be captured elsewhere on your resume because they are important too. A data analyst is continuously learning, and one of the most important skills to keep updating is the skills section to reflect the new learning and abilities. You would create a dynamic resume to be attractive to prospective employers.
Hands-On Activity: Adding experience to a resume
1. Which kinds of information should be in the experience section of your resume? Select all the apply.
- Data-related work history (Correct)
- Your education background
- Jobs that gave you transferable skills (Correct)
- A list of soft skills you have
Correct: This space at your experience section should include any history that relates to data work or roles that contribute skill transfer. Better keep your skills and educational background distinct from one another in dedicated sections for clarity. Update your resume as you move along in your career with experiences and accomplishments so that it can continue to serve as a true record of your progress.
Adding Data To Your Resume CONCLUSION
In this segment of the course, you will learn everything you need to know about the application process: how to present a resume that highlights your strengths and relevant experience. Even if you are not looking for jobs yet, you can update your resume now.
Just think of it as a spring training in the first season in the major leagues-you will not want to miss it! Join Coursera now for this learning experience and try getting a better resume that you will need when the right opportunity in data analytics arrives.