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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!
Not for you? No problem.
30 day money back guarantee.
Learn on the go.
Desktop, iOS and Android.
Certificate of completion.
|Section 1: Intro and Orientation Section|
|Section 2: Country level discussion|
USA and Canada
Tips and tricks: How to make it without job experience
|Section 3: Industry level discussion|
Typical data scientist positions in every large corporation
Data scientists in the Pharma industryPreview
Data scientists in Consulting
Banking and Finance for data scientists
Data scientists in Start Ups
Tips and tricks: Getting a list of relevant companies to apply (with links)
|Section 4: Skils and education for a successful career in data science|
Your educational background and how to proceed
Statistical software packages and languages - Your main working tool
Technical and Soft Skills for a successful career in data sciencePreview
How about skills in database technology?
Open source or Proprietary - Which tools to learn
Tips and tricks: Trends in data science
|Section 5: Finding and Applying for data science jobs|
Recruiters and Headhunters
Top 10 job boards in data science
Links to top 10 job boards
Tips and tricks: Salary negotiations
Data Science Career Quiz
|Section 6: Certificates for data sciences|
Certificates: pros and cons
Links to certificate providers
Certificate providers p1
Certificate providers p2
Certificate providers p3
R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 30,000+ students love it.
We focus on Data Science tutorials. Offering several R courses for every skill level, we are Udemy's number one 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 there to help you boost your career with analytics training – Just learn and enjoy.