Skip to content
UdemyData SciencePaid courseAll LevelsCertificate

Data Science Career Guide - Career Development in Analytics (Udemy.com)

Learn how to plan and improve your data science and machine learning based career

Created by: R-Tutorials Training

Last updated March 2016

icon
What you will learn

  • plan your career in data science
  • identify possible employers
  • improve your CV to get more job interviews
  • identify the best locations for data scientists
  • evaluate if a particular add-on education is of any value for you

How it compares

Against the other 461 rated Udemy courses in Data Science on CourseDuck:

  • Rating3.9 out of 5among the lower-rated ones
  • Reviews89#434 of 462 by number of reviews
  • Length2.7 hoursshorter than 83% of them
  • Last updatedMarch 2016earlier than 99% of them

icon
Course Description

Are you thinking about working in data science?

Do you already work in a data analytics job, but you do not know how to get your career to the next level?

Are you interested in getting add-on credentials in data science, but you do not yet know which way to go?

Do you want to know about salaries in data science?

Are you searching for ways to improve your CV?

Do you want to know which countries are best for a data analytics career?

Simply spoken: Do you want to get your career right from the start?

If you answered YES to some of these questions, this course might be interesting for you.

-----------------------------------------------------------------------------------------------

Your work takes the biggest chunk of your time, it should be a fun and challenging thing to do - so you better plan for a successful and meaningful work life. I will show you how.

By only investing 3 hours of your time you will get a clear idea about how to plan your career in data science. I assume you do not want to be one of those people who do a job that makes them unhappy and that leads to nowhere. Proper planning on education, industry, location and salary expectation will enable you to avoid the pitfalls of our modern job market. In this course you will learn about all of these and much more.

I have worked for several multinational corporations as well as an independent consultant and did my fair share of statistical programming and analytics jobs. In this course I will tell you anything you need to know in order to even start or improve your career.

This course is designed for anybody interested in a data analytics based career. No matter if you are just starting your stats, physics, math, business or science education, or if you are already doing an analytics job, you will get valuable info to bring your career to the next step.

This course gives you an idea about where to work with your quantitative education. If you want to work in data analytics, this course will show you how to get there. Information about all the opportunities that are available is hard to find. Students often only have a limited view about their possibilities. In this course I will show alternative fields of employment which you did never think about.

At the end of this course you should be able to plan your career. If you are already in a data driven field, you should be able to plan for your next steps. Maybe it is an add-on education you need, maybe you need to change industries or employers. All of those topics are covered and explained in detail, so that you can make your career a success story.

I will give you valuable info about how to find jobs, how to improve your CV and how to even position yourself without job experience. I know that it is tough to get a foot in the door without experience, therefore I provide some little known techniques in how to use social media to start your career.

There is a lot of hype around data science careers and job opportunities. While some of it is clearly justified, data science is a key technology for the years to come, it is also important to manage your expectations. Salaries are above average, but you need to get the job first. Interviews and assessment centers can be quite tough and the competition is not sleeping. I will show you how to stay ahead of the competition with some creative social media techniques.

Do yourself a favor, save time and energy for a prosperous career, and subscribe to this course.

All the best for your future work live and see you inside!

Martin

icon
Udemy Discount

The discount is applied through our link. Open the course from here and Udemy's current promotional price is applied at checkout on most courses, no code to type.

Some courses are excluded from Udemy's promotions. If the price does not drop, clear your browser cookies and use the button again.

icon
Instructor Details

R-Tutorials Training

  R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 100,000+ students love it. 

        We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

        All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons. 

        The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user. 

        Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm. 

        We are here to help you boost your career with analytics training – Just learn and enjoy. 

icon
More courses by R-Tutorials Training

Free

$18.99

$10.99

$14.99

$12.99

$12.99

icon
More Data Science courses

Free

Free

Free

Free

$124.99

Free

icon
Reviews

3.9

89 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Akshay Singh on 2/17/2018

Good information which will help how to formulate path for data career. It would be great if you could add more India specific content.

By David Lamson on 1/28/2018

Data science is a broad field, so, by its very nature this course has parts that did not apply to me. But it also contained much useful information including things I never would have thought about. Worthwhile, especially for those early in their career.

By Stacy Wang on 1/7/2018

The course is outdated. From the reviews, I think the videos were made 2-3 years ago and not updated so far.

By Jo-Parker Classe on 8/30/2017

This may be a good course for someone coming out of school with a Bachelor's Degree (that seems to be the audience). As an experienced professional who wants to gain new skills in Data Science, this course was of limited value to me.

By Bahaa Eiz on 12/12/2016

It is a good course in general. However, many presented ideas seem to limited subjective opinions based on only personal experience rather than being based on solid detailed criteria. I learned many new things but it was a bit lower than my expectations (which is based on similar courses I attended)

By Vincent Chan on 11/27/2016

This is a good introduction and is suitable for those still in undergrad or earlier. I was hoping that the course would talk more about opportunities within the finance industry (there are more quant openings other than actuaries and HFT), but I guess as an introduction course it wasn't intended to go too in-depth into any field.

By André Ribeiro Coutinho on 9/15/2016

This course really shows in details this exciting career. One good thing is that the instructor presents different industries and its particularities for a Data Scientist. Very good tips for those who, as I do, intend to start in this job market.

By Andrey Chernoivanov on 7/20/2016

Excellent navigation for those who are thinking of starting career in Data Science. This course is resourceful and will save you weeks if not months in understanding what you want to target and how you break in.

By Madli Uutma on 5/28/2016

I learned many new things about how data science is used in several different industries. I would have liked to learn more about what are the most important skills you have to learn in R, Python, SQL and Hadoop and what are the best ways to learn these skills as quickly as possible.

By Raymond van Tonder on 9/14/2015

Is the content comprehensive and informative? 3/5 Does the production quality meet your expectations? 4/5 Is the instructor's delivery interesting and engaging? 4/5

Showing all 10 reviews on CourseDuck

Read all 89 reviews on Udemy

icon
Quality Score

No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.

Content Quality
/
Video Quality
/
Qualified Instructor
/
Course Pace
/
Course Depth & Coverage
/

Overall Score : 78 / 100