How To Start Your Career In Data: Find Your Role, Learn Skills, Build A Portfolio

In this video, we'll cover how to find the right data role for you, how to learn the skills you need to get hired, and how to show your skills to employers.

You'll learn about the 5 main data roles: data analyst, data scientist, data engineer, business analyst, and machine learning engineer. We'll cover the exact skills you need to get a job in each role. We'll talk about a 4-step learning method that will help you learn the skills. Then, we'll cover how to build a project portfolio that will advance your career.

By the end, you'll have a good understanding of what the right data role for you is, and you'll be ready to start learning.

Chapters

00:00 Introduction and agenda
01:37 The 5 main data roles
07:11 Data engineer overview and skills
10:05 Data scientist overview and skills
12:21 Data analyst overview and skills
13:37 Business analyst overview and skills
15:11 Machine learning engineer overview and skills
17:16 How to find the right role
18:33 A 4 step method to learn data skills
24:47 Using projects to show your skills to employers
27:33 Learning on Dataquest

------------------------------
Join 1M+ Dataquest learners today!
Master data skills and change your life.

#Dataquest #BusinessAnalyst #DataScience #DataAnalyst #DataScientist #DataEngineer #MachineLearning

[credov.k]

I admire your path in data science Vik, you're an example of self-made man in IT.

[omaaka]

dataquest is a wonderful data science tutorial site, i recommend it to all data science lover

[oziomaajaero]

About to start my career journey on dataquest. Chose data science and with your explanations on this session, I am motivated to pursue it to the end. Been really scared to begin for some time.

[whyvnxb]

Thank you so much. I just started out learning Python Programming on DataQuest and the platform is user friendly for a beginner like me.

[ramseyalizadeh]

Well done, Vik! You made the whole career choice so much easier for me! ❤

[murtazinrustam]

I wish you success in your endeavours and hope your courses will help me become a data engineer expert :)

[HairByReneeLLC]

Thank you for this outline—it has been very helpful!

[jpmckeown]

Wow very helpful. The taxonomy of different kinds of job was illuminating.

[anfedoro]

Hi Vik.. you didn't mention any math so far. I suppose math is a basement for almost everything to work with data. Say, I can have goo Python coding skills, but how you may decide which e.g sklearn methods to apply to particular problem with no mathematical understanding of the problem ? you said. you fully self-learned in data.. what about math ?

[sanoossaleem]

Thanks a lot! crystal clear cannot expect better than this:)

[jonahjohnbaba]

Thanks for the video. Please do a practical video tutorial on each role say 30mins video for each role but should be practical like taking a data to demonstrate each role. Thank you

[e.michael]

I have nothing to say.
Just.
"Thank you"

[dilibe]

Thank you very much. Really enjoying your video. You have made kicking off a career a lot easier for a lot of people.

[ismailhabeebolawale]

Thanks 👍 alot, this has really reshape my thinking as how will I build myself to the standard and after watching, listening and takes some notes ... It's my TIME to shine... Thanks alot

[oziomaajaero]

Thanks Vic for this educative session.

[Negresillo]

I’m doing the data engineering course and In my opinion there should be a datawarehouse course in it

[dovinhas]

best presentation in the topic, congrats

[technorenaissance]

This is fantastic. Can't wait to check it out.
Is there any benefit for people to start out working in or studying data analytics first, and progres up to data science or machine learning?

[SuperSumittanwar]

Dataquest playform is really user friendly and helpful. Only problem i face is to connect with community and discussions

[enongenebetrand]

Much thanks for the easy explanation. Please do you have a book or recommend one.