Data Analytics Career Overview - From Skills to Interviews
Data Analytics Career Overview - From Skills to Interviews
Published 12/2023
Created by WeiChun (Marcus) Chang
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 72 Lectures ( 2h 47m ) | Size: 896 MB
A guide to your career in analytics track
What you'll learn:
If analytics career is right for you
What tools and skills you need for getting an analytics job
To know how analytics can help you in work
Understand different analytics tools and use cases
Frequently seen mistakes during analysis
Quantitative method that can help you better in analysis
Interview questions for analytics roles
Some tips of job offers negotiation
Requirements:
No prerequisite for coding and analysis, but requires basic statistics knowledge, i.e. mean, percentiles, and distribution
Ideally some SQL & spreadsheet knowledge would be better
Description:
Do you need analysis in your work? Or you want to be an analyst but don't know where to start? Many companies claim that they are data-driven and looking for analytical talents. But what is data driven and what exactly is analytical skills? Why we are already looking at numbers but still don't know what to do? Why I have required skills like SQL or Python, but still not hired?If you have related questions like mentioned above or wonder if analytics career is right for you, this course could be right to you. This course won't teach you everything of SQL, Python, or R. But will let you know what tools or techniques you need to be an analyst. It's perfect for students or people who want to be analyst. I'll walk you through what roles you would have chance to apply analysis, what popular tools there are in tech industry, and how the interviews would look like. I even provided the list of courses and resources that I recommend. My 5 years of experience and job searching knowledge sharing in a nutshell. ChaptersOverviewDifferent roles and their scenarios of using analysis during workToolsSpreadsheetSQLTableauPython & RQuantitative AnalysisMetrics DefinitionNormalizationFrequently seen mistakesInterviewBehavioralSQLTechnical ScreeningCase Interviews
Who this course is for:
People who are interested in but new to analytics
Analytics workers who are struggle to find better methodologies for analysis
Engineers or Product Managers who would like to know more about product analysis
People from marketing or operation who would like to apply analytics in their work
HOMEPAGE
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