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Data Analyst Career Guide and Interview Preparation

Name: Data Analyst Career Guide and Interview Preparation
Rating: 4.7 (810 reviews)

4.7810 ratings at Coursera

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Overview

Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field?

This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing.

The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a take-home challenges and get to practice completing them. Additionally, it provides information about the regular functions and tasks of data analysts, as well as the opportunities of the profession and some options for career development.

You will get guidance from a number of experts in the data industry through the course. They will discuss their own career paths and talk about what they have learned about networking, interviewing, solving coding problems, and fielding other questions you may encounter as a candidate. Let seasoned data analysis professionals share their experience to help you get ahead and land the job you want.

Syllabus 3

Building a Foundation 4.5 hours
Your job search will be much more effective if you do some primary work before you begin. In this module, Building a Foundation, you’ll learn how to clearly understand the jobs you will be looking for. You’ll learn how to write a basic resume and collect your previous work examples into a portfolio…
Applying and Preparing to Interview 5 hours
Job Seeking and Interview Preparation helps you understand how to put yourself forth as a memorable candidate. In this module, you’ll get guidance on researching prospective companies and assessing job leads to sift out the ones you want to focus on. You’ll learn about rehearsing for interviews and…
Interviewing 4 hours
After you’ve attracted a company’s attention, it’s important to know how to follow through. The Interviewing module will guide you through the interview process from beginning to end. You’ll learn about common types of interviews and what to expect from them, including code challenges. You’ll also…

Skills you'll practise

Data Analysis Analysis Communication

Advantages and disadvantages

Advantages

Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
From IBM, a well-regarded name.
Rated 4.7 out of 5 by 810 learners.
Self-paced: start any time.
A clear syllabus (3 parts) you can see before you start.

Disadvantages

Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.