If you are a mathematically hardcore person, perhaps you would prefer this book: The Elements of Statistical Learning. The importance and and usage of Python or R has been a subject of debate in data science. Personally, I think the focus should be on how you can help businesses solve problems, regardless of the languages used. Soft skills. In fact, soft skills are more important than hard skills.
I hope not. In particular, I learned the hard way on the importance of communication skills which you can read it here. There are many resources out there. Be resourceful.
So the question is: How to choose the learning materials that are suitable to you? Reading materials is definitely a great start to understand the fundamentals which I did the same way as well! Just be aware of not trying to read and memorize nitty-gritty of the maths and algorithms. Just know and understand enough to get yourself started and move on to the next step. Be practical. I started off by developing my technical skills before going into understanding business problems and formulating solutions.
To solve a business problem, one has to first how to solve the problem. And the HOW comes from technical skills. Again, the approach depends on situation and my suggestion is mainly based on personal experience. One of the major challenges faced by many aspiring data scientists including me is that data science is an ocean of information.
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We could easily lose our focus by getting overwhelmed with all the advice and resources Online courses, workshops, webinars, meetups, you name it… that come from different directions. Stay focused. Throughout my data science journey, challenges are uncountable but are also what have shaped who I am today. Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. In fact, your resume is one of the ways to get the first entrance ticket to your next stage of application — interview.
Therefore, learning how to write work experience in resume is truthfully important to get the entrance ticket.
Studies have shown that the average recruiter scans a resume for six seconds before deciding if the applicant is a good fit for the role. In other words, to pass the resume test, your resume only has six seconds to make the right impression with a prospective employer. Personally, I referred to the following resources to polish my resume:. So, in this new, exciting and challenging field there are lots of opportunities. Here are few reasons why you should be a part of this.
The 4 Best Data Science Books for Executives | Cyzne
Not long ago, I was in a job interview at a small software start-up. This was the third round of interviews and they were being very thorough in the selection process. After an hour or so, the interviewers fell silent. I went on to find my current job as a Data Scientist with the Travel Intelligence unit at Amadeus — and eventually I came to wonder, what exactly is it that is so fulfilling about working as a data scientist?
In a future post in this series, we will take up the last of these in more detail. Stay tuned!
Reposted with permission. Previously, he worked on data processing systems for the European Space Agency.
Learning to Love Data Science by O'Reilly Media, Inc, USA (Paperback, 2015)
I love data analytics because I like to solve problems and find solutions. As Data Analysts, we will be working on highly important business solutions and be key players in innovation, science, and society in general.
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We can see that there are a whole host of reasons to get into data analytics and develop your career as an Analyst, Machine Learning Engineer or Data Scientist,what about you? Or come visit us on one of our Open Days in Barcelona or Berlin and meet our students and mentors in person! Want to learn more about Ubiqum Code Academy? See what alumni have to say on SwitchUp. Ubiqum Code Academy offers 5-month, full-time bootcamps, and one part-time data analyst course.
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