Data Analytics Career Overview - From Skills to Interviews
A guide to your career in analytics track
Data & Analytics,Data Analysis,Data Analytics,Data Science,Data Scientists
Lectures -73
Duration -2.5 hours
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Course 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.
Chapters
Overview
Different roles and their scenarios of using analysis during work
Tools
Spreadsheet
SQL
Tableau
Python & R
Quantitative Analysis
Metrics Definition
Normalization
Frequently seen mistakes
Interview
Behavioral
SQL
Technical Screening
Case Interviews
Offer Negotiation
Goals
What will you learn in this course:
- To understand if analytics career is right for you or not?
- What skills set you'll need to find a Data Analyst job?
- How to do analysis and how it will help you for decision making?
- What would be the interviews looked like?
Prerequisites
What are the prerequisites for this course?
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
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Intro & Overview
3 Lectures
- Promotional Video 01:43 01:43
- Intro 03:39 03:39
- Course Materials
Analytics Roles Overview
7 Lectures
Analytics Tools
16 Lectures
Quantitative Analysis
14 Lectures
Interviews
33 Lectures
Instructor Details
Wei Chun Chang
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