Coursera Answers

[Cary Polachek]

InIBM's Data Analyst Career Guide and Interview Preparation course, you'll learn how to describe your role as a data analyst to others, explore the typical job interview cycle, and practice effective job interviewing techniques.

Outline the main tasks of a data analyst: identify, collect, clean, analyze, and interpret. Talk about how these tasks can lead to better business decisions, and be ready to explain the value of data-driven decision-making.

Many businesses have more data at their disposal than ever before. Hiring managers want to know you can work with large, complex data sets. Focus your answer on the size and type of data. How many entries and variables did you work with? What types of data were in the set?

The work of a data analyst involves a range of tasks and skills. Interviewers will likely ask questions specific to various parts of the data analysis process to evaluate how well you perform each step.

With this type of question (sometimes called a guesstimate), the interviewer presents you with a problem to solve. How would you estimate the best month to offer a discount on shoes? How would you estimate the weekly profit of your favorite restaurant?

Tip: In some cases, your interviewer might not be involved in data analysis. The entire interview, then, is an opportunity to demonstrate your ability to communicate clearly. Consider practicing your answers on a non-technical friend or family member.

Effective data analysts let the data tell the story. After all, data-driven decisions are based on facts rather than intuition or gut feelings. When asking this question, an interviewer might be trying to determine:

Interviewers will be looking for candidates who can leverage a wide range of technical data analyst skills. These questions are geared toward evaluating your competency across several skills. If you're preparing for an entry-level data analyst job and you don't have much experience yet, you might consider filling the gaps in your resume with a certificate. You can practice statistical analysis, data management, and programming using SQL, Tableau, and Python in Meta's beginner-friendly Data Analyst Professional Certificate. Designed to prepare you for an entry-level role, this self-paced program can be completed in just 5 months.

Similar to the last type of question, these interview questions help determine your knowledge of analytics concepts by asking you to compare two related terms. Some pairs you might want to be familiar with include:

Set yourself up for success in your next data analyst interview by using these questions alongside the Coursera Interview Guide. Get tips on formatting your answers using the STAR framework, researching the company, and tailoring your answers to the job.

To reinforce the data analysis process, try the Google Data Analytics Professional Certificate. Build the skills you need for an entry-level role while you learn how data analysts work with data using Google Sheets, SQL, and R programming.

To deepen your SQL skills, try the Learn SQL Basics for Data Science Specialization from the University of California, Davis. Go beyond simple queries and use SQL to complete four progressively more difficult SQL projects with data science applications.

To get hands-on experience with Power BI, try the Microsoft Power BI Data Analyst Professional Certificate. Learn how to use the tool to drive data-driven decision-making and prepare for the industry-recognized Microsoft PL-300 Certification exam. Plus, learners who complete this program will receive a 50 percent discount voucher to take the PL-300 Certification Exam.

For more information, visit coursera.org/hiring-solutions. If you are an India-based Coursera for Business or Government customer interested in joining the Beta, please reach out to your customer success manager.

I have typed the code for the tasks and also got the output but still i got 25 marks in coursera challenge. Please let me know if anyone can solve this for me.

I have jotted down tasks, my code, output and the reason for failing the tasks.

i feel this was the best solution so far, not the kind that believes in the examiner being wrong so quickly, although, it tickled my brain for the whole day, but i really learnt alot, thank you very much

I created a quiz and noticed a that when I view the source of the quiz, I can see the answers in the HTML. In the question below, the correct answer to the question is "Layout". This corresponds with in the choices. In the code below (highlighted), it indicates the correct answer in the tag . So the student simply views the source and can view the correct answer to all of the quiz questions. Is this by design?

The secure quiz came in 1.5. It is well worth upgrading to for lots of reasons but if you are in the middle of term then, alternatively there are themes that provide improved (but never complete!) quiz security.

By using javascript to prevent right click (a measure which can be acheived very simply), the protectors managed to protect their data 'for ages,' 'in a whole building" and presumably in other whole buildings where you have yet to give advice! Wow! From your testimony we can see that right-protect javascript is an extremely cost effective addition to ones battery of security measures.

Combined with other security measures ("bodges") it can make the insecure browser baffle buildings and buildings full of people for ages and ages.

Timothy

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