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Learn the Art of Data Science in Five Steps

Ronald van Loon / 3 min read.
June 13, 2016
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The field of data science is one of the youngest and most exciting fields in the technology sector. In no other industry or field can you combine statistics, data analysis, research, and marketing to do jobs that help businesses make the digital transformation and come to full digital maturity.

In todays business world, companies can no longer afford to look at their websites and social media presences as add-ons or after thoughts. The success of the technological aspects of a company is as crucial to its overall success as any other department. To gain that kind of success online, businesses must embrace big data and analytics. They must learn about their customers behaviour online and specifically on their sites, and they must use data to drive their marketing and production strategies.

Data Science is dedicated to analyzing large data sets, showing trends in customer and market behaviours, predicting future trends, and finding algorithms to help improve the customer experience and increase sales for the future. To learn and dive into this intriguing new field, youll really only need to take five simple steps

1. Get Passionate About Big Data

As you set out to learn this field and become a data scientist, youll find that entering an emerging field is both exciting and overwhelming. As you come across challenges and obstacles, and as the definition of data science seems to change depending on whom youre reading or listening to, the whole endeavour can seem intimidating enough to want to quit. If youre passionate about data and what you can do with it, though, youll have motivation to keep going.

2. Embrace Hands-On Learning

Some people will tell you to begin by learning about the fundamentals of machine learning, neural networking, and image recognition. All of this is fascinating, but if you start here, youll never get where you want to be. Instead, start simple. Begin by learning how to clean data to make it legible to the computers and programs youll be working with.


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As you do this, focus on getting to know a few algorithms really well instead of trying to gain cursory familiarity with a dictionarys worth of them. Besides, when you need an algorithm that you dont know, youll most often be able to fetch it from a library. You do not have to have an encyclopaedic knowledge of them. 

3. Learn the Language and Communicate Your Insights

A large part of your job is going to be telling others (in laymens terms) what your data means for them. You can practice this by talking to less tech-savvy friends, starting a blog, and finding any platform available to discuss your findings. The more you practice, the more youll be able to express yourself in ways that normal people can understand.

4. Learn From People in the Industry

Go online and find forums and meet-ups where you can network with others working in data science. If a university near you provides a data science program, find out when theyre hosting a lecture, panel, and/or conference in the field and go get to know some people who are learning data science or who already work in the industry. You can also learn a lot from your data science peers by following industry thought leaders blogs, as well.

5. Keep Challenging Yourself

Finally, as you learn the ropes of data collection and analysis, dont stop challenging yourself. If your homework is getting too easy, continue to increase the difficulty until it feels challenging again. You can do this by working with larger data sets, tweaking algorithms to make them more efficient, scaling algorithms to work with multiple processors, learning the theories behind new algorithms, and more. The further you take your studies, the more options youll have to create new challenges for yourself.

Do you have experience in learning data science? What methods have worked best for you as youve delved into this exciting new field?

Categories: Big Data
Tags: Big Data, data science, industry, language, learning

About Ronald van Loon

Helping data driven companies generating business value with best of breed solutions and a hands-on approach.

Ronald has been recognized as one of the TOP 10 GLOBAL PREDICTIVE ANALYTICS INFLUENCERS by DataConomy!

Want to stay up to date with latest Awesome Big Data case stories, insights & tips?
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Examples how we help companies:

' Improve Customer Experience: provide quantifiable insights in the online & offline Customer Journey and customer profiles and take action on your visitor in real time.
' Decrease IT cost & centralize web data: stream web data to your Data Warehouse
' Increase campaign Return On Investment: provide insights into cross channel campaign conversion attribution
' Reduce your churn: predict the next customer you will lose so actions can be taken to make it a satisfied customer again
' Increase up-sell: predict buyer intent and online generate product recommendation
' Improve your marketing, sales and service processes & reduce cost: provide insights in the Customer Journey to improve your business processes
' Prevent damage on decisions on wrong data: secure analytics data quality by monitoring 100% of your data
' Manage your brand reputation: manage customer consent & store your data safely

Read more publications of case stories to get inspired what Big Data can do for you
'360 degree customer view and its web data collection struggle https://linkd.in/1B4Paer
'Who will be your next customer? https://ow.ly/GXs78
'More stories: https://linkd.in/1uWHbuP

Interested in one of our 100 success stories from top European retail, telco, finance, travel, media & entertainment, manufacturing, energy or service companies?

Please feel free to connect with me on LinkedIn (LION)
' ronald.vanloon@adversitement.com
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' +31 (0) 20 7600 700

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