Are you an aspiring data scientist?
How do I become a data scientist?
In 2007, data science developed from a newly coined term into one of the most sought-after disciplines in the professional world. But what does a data scientist really do? And how can you break into the field? Here's what you need to know if you want to develop the skills to become a data scientist.
What do data scientists do?
Data scientists combine statistics, computer science, and data analysis to fix the vast amounts of unruly data now being collected by thousands of businesses. It is known that your Facebook account contains valuable information. Should you be concerned about your Facebook data being deleted? Should you be concerned about your Facebook data being deleted? How would you feel if you found your picture on a website where people rate the picture based on whether you look like an idiot or not? Well it's a true story. Read More But now local startups are also collecting data that they hope can be gleaned from it to turn it into useful strategies for growing their business.
The data companies collect is often very messy - it's incomplete, unstructured, incoherently labeled, and often just wrong. However, there is a lot of valuable information out there, and it is data scientists who generate insights that can be implemented by the business aspects of the company.
Many descriptions of data science emphasize the importance of discovery in practice. Data scientists may not know what to look for as they step through terabytes of data, but they will know when they see something interesting (that need for intuition and discovery is one of the reasons this is a job that can't do it well of robots 8 skilled jobs that will soon be replaced by robots 8 skilled jobs that will soon be replaced by robots Can machines come for your job? You might be surprised (More). You also need to be able to share this information with others because, as data scientists, managers and executives are typically unfamiliar with the language of data analysis.
In short, data scientists analyze huge amounts of data and turn it into actionable strategies. Make no mistake: this is not an easy task. However, this is and always will be enormously valuable for companies. For this reason, data scientists can have secure jobs for the future tech jobs of the future: What should you study if you want to have a cool job tomorrow: Tech jobs of the future: What to do? Study If You Want A Cool Job Tomorrow If you are a college student with a good technology contract for the future, understanding the direction of technology will help you position yourself successfully and figure out what you need to learn to… Read More. And they are well paid for these skills: a data scientist can do this easily over $ 90,000 per year.
What skills do data scientists need?
Like "data science" is a rapidly changing and often ill-defined field. The range of skills you will find among data scientists is impressively broad. Most have some training in statistics, data analysis, and math. Almost all of them have programming experience. How to choose a programming language to learn today and get a great job in 2 years? How to choose a programming language for today and get a great job in 2 years? It can take years to produce a really dedicated job as a good programmer; Is there a way to choose the right language from today to be hired tomorrow? Read More Since it is especially popular in data analysis, learn about Python. The 5 Best Websites to Learn Python Programming The 5 Best Websites to Learn Python Programming Would you like to learn Python programming? Here are the best ways to learn Python online, many of which are completely free. Reading more is a good place to start.
Knowing about other data analysis programs like MATLAB, SAS, and Minitab can also be very useful.
The ability to communicate clearly with people who do not understand machine learning, statistics, or data analysis is also very important. If you find something groundbreaking but can't explain it to anyone, it's no use. Clear communication is a soft skill 6 soft skills Every technology worker needs career experience 6 soft skills Every technology worker needs a career ladder Some specialist knowledge is missing in the IT area. You need the right attitude for professional success. Here are six key soft skills that you will find out about during your next IT interview. Read More
Experience in a variety of fields is an asset if you are an aspiring data scientist - both inside and outside the field in which you work. Being able to think creatively and approach problems from different angles is very useful when working in data science. New problems often require innovation and ad hoc solutions.
Learning the skills for data science
Since data scientists need to be able to work with a variety of tools that come from diverse fields, as diverse as application development and probability theory, the path to entry into the profession is not clear. Many data scientists start out as computer scientists or statisticians and acquire the necessary skills on the job. Others come from completely different backgrounds, giving them the experience they need to creatively solve problems.
"Data scientists are involved in collecting data, putting it into an understandable form, getting it to tell their story, and presenting that story to others."
- Mike Loukides, Vice President, O'Reilly Media.
However, data science training is becoming available day by day. Although the number of apprenticeships for the diploma is small and extremely competitive, it is worth a look. When you have a head start in the skills you develop in these programs, you increase the chances of getting into a program and getting a job, even without a degree in computer or data science.
The resources listed below will help you build the skills you need as a data scientist. Some are free online college courses. 8 Fantastic Websites For Free Online College Courses. 8 Fantastic Websites For Free Online College Courses. Read More All are free, Unless known. At the bottom of the list I've added some certification, immersion, and degree programs in case you're wondering where to get serious training in data science - there are more, but these should give you an idea of what's available.
- Big Data Basics (Big Data University)
- Python (Google)
- Calculate for data analysis (Coursera)
- Data analysis with R (Coursera)
- Data mining with R (Big Data University)
- Hadoop Basics I (Big Data University)
Statistics and data analysis
- Probability and Statistical Considerations (Carnegie Mellon University; free for independent students, $ 25 for undergraduate students)
- Introduction to applied statistics (online courses)
- Data analysis (Coursera)
- Machine Learning (Stanford University via Coursera)
Data Science Certifications
- Data Science (John Hopkins University via Coursera; free without certificate, USD 475 with certificate)
- Data Analysis Nanodegree (Udacity; $ 200 / month, 9-12 months)
Data Science Immersive Program
- Zipfian Academy Data Science 12 Week Entry ($ 16,000)
Data science degree programs
- Professional Masters in Information and Data Science from UC Berkeley
- MS in Data Science from NYU
- MS in Data Science from the University of St. Thomas
- Online MS in Data Science from the University of Wisconsin
- MS in Analytics from North Carolina State University
- MS in Analytics from Northwestern University
The above list should give you plenty of excitement. Once you've worked your way through the free resources, you can look at some field-specific aspects like biostatistics, healthcare data analysis, or data analysis for safety - there are a variety of resources that you can use without having to go back to school 4 online Courses You Might Take Instead of Returning to School 4 Online Courses You Might Take Instead of Going to School Going for a college education is an expensive proposition. There is no doubt about that. For most people, it's totally worth it. The benefits that have to some degree in your name outweigh the overwhelming debt ... to some extent.
You can find courses on these topics in places like Coursera, Udacity, and even on YouTube. Advanced programming resources are also a good idea. There are a lot of things that you can learn. You just need to take some time to find the ones that work best for you.
Here's a short, one-minute, inspirational video from Adobe about the life of a data scientist.
Do you want to be one If you have any good resources for aspiring data scientist, please share them in the comments so that others interested in the field can benefit!
Photo credits: Entrepreneur standing (edited) in front of blackboard, close-up of businesswoman holding diagrams in hand, program code on monitor via Shutterstock.
Learn more about: Education Technology.
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