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Data Analyst Career Guide and Interview Preparation

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 code challenge 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.

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Rating Not enough ratings
Length 5 weeks
Effort 3 weeks of study, 1-2 hours/week
Starts Jul 17 (41 weeks ago)
Cost $49
From IBM Skills Network, IBM via Coursera
Instructor Skills Network
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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Rating Not enough ratings
Length 5 weeks
Effort 3 weeks of study, 1-2 hours/week
Starts Jul 17 (41 weeks ago)
Cost $49
From IBM Skills Network, IBM via Coursera
Instructor Skills Network
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science
Tags Data Science Data Analysis

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