Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

About Terence Shin

a data enthusiast with 3+ years of experience in SQL and 2+ years of experience in Python, and a blogger on Towards Data Science and KDnuggets.

Terence Shin Posts (24)

  • Top Five SQL Window Functions You Should Know For Data Science Interviews - 13 Jan 2022
    Focusing on the important concepts for data scientists.
  • Gold Blog5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022 - 01 Dec 2021
    This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.
  • 11 Most Practical Data Science Skills for 2022 - 19 Oct 2021
    While the field of data science continues to evolve with exciting new progress in analytical approaches and machine learning, there remain a core set of skills that are foundational for all general practitioners and specialists, especially those who want to be employable with full-stack capabilities.
  • Silver BlogHow to be a Data Scientist without a STEM degree - 20 Sep 2021
    Breaking into data science as a professional does require technical skills, a well-honed knack for problem-solving, and a willingness to swim in oceans of data. Maybe you are coming in as a career change or ready to take a new learning path in life--without having previously earned an advanced degree in a STEM field. Follow these tips to find your way into this high-demand and interesting field.
  • 3 Most Important Lessons I’ve Learned 3 Years Into My Data Science Career - 13 Sep 2021
    After only 3 years of working as a data professional, many tried-and-true lessons can be learned. Here are 3 of the most important lessons learned with key takeaways and reflections shared.
  • Rewards BlogGold Blog3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks - 02 Aug 2021
    While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.
  • Gold Blog11 Important Probability Distributions Explained - 20 Jul 2021
    There are many distribution functions considered in statistics and machine learning, which can seem daunting to understand at first. Many are actually closely related, and with these intuitive explanations of the most important probability distributions, you can begin to appreciate the observations of data these distributions communicate.
  • Silver BlogHow to Get Practical Data Science Experience to be Career-Ready - 07 Jul 2021
    Becoming a professional in the field of data science takes more than just book-smarts. You need to have experience with real-world data sets, frequently-used tools, and an intuition for solutions that you can only gain from hands-on experience. These resources will jump start developing your practical skills.
  • Rewards BlogGold BlogHow I Doubled My Income with Data Science and Machine Learning - 01 Jun 2021
    Many career opportunities exist in the ever-expanding domain of data. Finding your place -- and finding your salary -- is largely up to your dedication, focus, and drive to learn. If you are an aspiring Data Scientist or have already started your professional journey, there are multiple strategies for maximizing your earning potential.
  • The Most In Demand Skills for Data Engineers in 2021 - 18 May 2021
    If you are preparing to make a career in data or are looking for opportunities to skill-up in your current data-centric role, then this analysis of in-demand skills for 2021, based on over 17,000 Data Engineer job postings, should offer you a good idea as to which programming languages and software tools are increasing and decreasing in importance.

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