Career Tips – 4 Productivity Tips for Data Scientists
By: Neil Nepomuceno
As Data becomes the “new oil” that drives businesses to new heights, certain fields like Data Science emerged to be one of the most popular and groundbreaking subjects of the last decade. Here are some tips on how to work smarter as a Data Scientist!
Treat each dev-cycle as an experiment
Work closely with your team to monitor the duration of your Dev-cycles. A general data science lifecycle process includes the use of ML algorithms and statistical processes that results in better prediction models.
TIPS: Just like any experiment, you will gain valuable insights in a systematic manner by applying the scientific method: observe, formulate a question, experiment, and analyze the number of stress levels, number of bugs, and the quality of code.
Smart Data Gathering
Organize your data and try to anticipate the kind of data you will need and get your hands on them in advance. You could use data dependency graphs to expose application dependencies.
TIPS: Aside from getting organized, ask your team if you can develop your own tool that can aid in the automation of the analysis phase. You may take this step further by creating a domain-specific toolkit that will enable you to generate everything you would need for future analysis.
Learn about new trends and innovation
As a data scientist, prepare to be agile and adapt rapidly to the changing tech industry. You can achieve this by actively adding new technologies, languages, or techniques to your growing skillsets.
TIPS: Now that you’ve anticipated new trends and innovations, it’s time to decode intriguing topics and enhance your analytical skills by analyzing and computing numerous derivations that are relevant to your work.
Develop self-confidence by testing your knowledge
Testing your knowledge will give you more confidence when you get to that point of going through technical interviews and showcasing your technical coding skills.
TIPS: There are a lot of online websites and platforms that can help you test your tech skills. To practice your skills in Machine Learning and AI via HackerRank. If you want to test your coding and problem-solving skills, visit LeetCode.