How to Go From Data Analyst to Data Scientist

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Interested in making the career transition from data analyst to data scientist? This video is for you!

Check out the the KNN Podcast here: @KNNPodcast

To be clear the this isn't to say that the data science role is better than the data analyst role. They are two different positions that require a slightly different set of skills. Many people like my friend @AlexTheAnalyst prefer the data analyst life!

These are my best tips on transitioning from data analyst to data scientist:
1) Show that you can code - You can do this by building a strong github or kaggle portfolio
2) Highlight your strengths - If you show that you meet the coding requirements, you should celebrate your business understanding or subject area expertise. Companies love to see the value you have driven
3) Apply data science to your current role - There are likely opportunities for you do do data science in your current work. Find them and experiment
4) Let your job pay to upskill you - Many companies offer training or a stiped for education. Use these things to learn data science skills
5) Look for new roles inside your current company - There are likely positions available to you within your current org. Focus here first
6) Join communities to learn about new roles - If you need to look outside your current company, communities are the best place to start.

Videos Mentioned

0:00 Intro
0:25 Data Analyst vs Data Scientist
1:10 Show You Can Code
1:46 Highlight Strengths
2:14 Do Data Science Work
3:36 Upskill $$$
4:43 Look Inside
5:33 Join Communities
6:28 Check out @KNNPodcast

#DataScience #KenJee #DataAnalyst

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A couple fun episodes that were referenced in this video:

KenJee_ds
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Great topic! Not watching it yet so I can record my reaction tonight just in case it’s interesting 😁

AlexTheAnalyst
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Well, now that I know how to switch to become a Data Scientist, I HAVE TO NOW! Great insights as always Ken, I meet a lot of people that are interested in becoming a data scientist but don't consider trying out a data analyst first. It's a great stepping stone to get you set up for success as a data scientist. Keep up the content!

LukeBarousse
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Thank you for this video. I am currently in a data analyst role, my boss told me the role is primarily for pulling reports, numbers and insights. After I get everything done, I work on projects involving automation (we have crappy data structures and lots of manual processes), machine learning (specifically trying to forecast client spending numbers) and NLP (I work in a qualitative field so there are a lot of notes, so I used them for sentiment analysis). I am hoping this will give me a good base to start applying to data science roles.

bilboswaggins
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honestly, i really like your topics, and i just feel the objectivity in your talks and the way you explain your topics, again that's really helpful for a lot of people, WISH YOU THE BEST

mohammedislammalki
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As one becoming a data analyst but have regret in the path I'm truly happy that you posted this video! Enrolled the 365 course last week so happy that you mentioned it! Subbed :D

Cruen_Media
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Definitely the biggest and best transition of my career thus far

datalyfe
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The creativity level when it comes your content is keep increasing .
Loving this such a great informative videoo💯🙌

shrutijain
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Cool guide man, Im currently in uni going through a data science undergrad program and although Im learning really technical modeling and visualization tools, we really only apply them in a sanitized, scientific setting. Love the insights on DS in the workforce

yyosted
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The timming of this video is on point, just what I needed

JoelSilva-bszz
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Good that you point out, that a Data Analyst is not inferior to a Data Scientist role. I work in as a Data Scientist in my company, but want to transition into a Data Engineer role, since I don´t really like the math part and want to write more code. You can always listen, a few weeks a product owner in my company said "Damn our data pipelines crash our systems and we do not have a person who is experienced with spark and nobody is experienced with Scala. Bing bing... opportunity. I decided to do an "Ultralearning" challenge and see how much spark and Scala I can learn in 30 days. Lets see if that works out :-).

codingcrashkurse
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I am trying to become a data scientist (in a specific focus area) and according to this list I can call myself a data scientist working using both R and Python. But I haven't felt comfortable calling myself a scientist before understanding enough statistics to make science. Most people are afraid to spend some time to understand statistics but from an employer point of view it's a big leverage.

exshenanigan
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This is a fantastic video, Ken. Great tips. Killing it 🙌🏻

Ravit
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Well said Ken. Your delivery is more like a 'think-outside-the-box' than a cookie cutter approach. But since data scientists are not subject matter experts; then, the paradox of shape shifting as analyst or scientist might be the best way to thrive in a job landscape that's always in a flux.

bankybanks
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The question is how do I go from unemployed to Data Analyst? :(

Great tips, Ken. Thanks!

RodStremel
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Good stuff man.. I am a supply chain analyst kind of data analyst, there is a lot of opportunities for data science on this field, but not too many companies have data scientists. I am teaching my self Python and machine learning, I hope to make the transition to data scientist one day.

jhoneduardo
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Great video Ken! Many useful tips here, specially for people trying to break into the space.

rolandofranqui
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Perhaps one of the most important tip for transitioning to data science is to subscribe to Ken's YT channel and KNN podcast 😆The new video angle looks nice, the green dinosaur is very prominent 🦖

DataProfessor
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Great video production Ken ! Thanks for the tips :)

Ibraheem_ElAnsari
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Thank you @Ken Jee, that was really helpful for me since I have interest in Data Science but I still did not figure out how to cross the bridge from Data Analyst.
Great input 🙂

nassimaguenaoui