Thread by @mdancho84

There are more than 10,685,000 people learning to work with data.

Yet most data science jobs now have over 1000+ applicants.

And only 5 actually make it to an interview.

Learn these 4 skills to stand out (free to steal & use to advance your career).

#datascience #rstats

1. Time series analysis

Up to 90% of companies need better forecasting.

And less than 5% of data scientists are competent in time series analysis.

Key Point:

Becoming good at time series is a massive advantage that automatically places you in the 95th percentile of applicants.

Try This:

Demonstrate an application of time series analysis in the interview, and set yourself apart from the crowd.

2. R for research and development

Research is the 1st part of the data science lifecycle.

And the fact is that 80% of companies aren’t able to learn from their data.

They simply don’t have the people that can quickly turn knowledge into actionable insights.

Try This:

Learn R. R is a key advantage because it takes 50% or less time writing code than comparable python analysis.

Key Point:

With R, 2X or more projects get through the research phase.

And you can put 2X more data products in your job portfolio.

3. Business problem-solving

75% of data scientists struggle with business analysis.

They know algorithms, theory, math, and statistics.

But when faced with a business problem, they freeze up.

Try This:

To stand out, demonstrate skill in business problem-solving.

It’s easier than you think.

Focus on their problems.

Tie a financial amount to the problem.

Key Point:

Show how to reduce costs or increase revenue.

Then explain how you could use data to help.

4. Getting projects into Production

Up to 87% of companies report difficulty getting a solution built and deployed.

This is incredibly frustrating given that data science teams of 10 or more…

Cost $1,250,000+ per year.

So not getting results is a BIG problem.

Try This:

You can stand out by demonstrating web apps in your portfolio.

Why?

Because Web Apps are what organizations need to scale decision-making.

There you have it: 4 skills that will set you apart from the competition.

Now you’re probably wondering how the heck can I learn these skills?

(and not take 2 years or longer of struggle)

I put together a free webinar that gives you the blueprint to becoming a 6-figure data scientist.

Seriously, it’s packed with free value.

What’s the next step?

Just watch my free webinar here (and take good notes).

Free Masterclass: learn.business-science.io/free-rtrack-ma…