Ten tips for Data Science Aspirants to be in the top of the Game

Data is costlier than “Gold” or “Oil”. You must have heard lots of quotations like this. Most technical/non-technical companies are putting their time, efforts, resources into data and the area of data science because Data is a hoarded treasure.?

Data can be numeric, text, voice/audio, image, or video. The expectation from a data science team member is to extract the information from the data, extract the pattern present inside the data, or create a model to automate the process/ solve a problem. Data has been collected, cleaned reported, and analyzed. It can be visualized via graphs, dashboards, or other analysis tools.

Data science is a broad field consisting entire gamut of topics- of statics, linear algebra, probability, data analysis, and their related techniques to understand and analyze actual phenomena with data. It uses theorems, algorithms, and theories from mathematics, computer science, domain knowledge, and information science. In other words —

The data science area consists of mathematical formulas and theories, scientific processes, computer science, and biological inspired algorithms to extract information and insights from unstructured and structured data with the help of domain knowledge, big data, and Machine learning.?

Below are some tips for Data Science Beginners:

1. Learn Python / R holistically

2. Learn SQL, MongoDB

3. Immerse yourself in the pool of statistics and Probability. Make sure to bolster your statistical concepts and understand the significance of mathematical terms.

4. Know yourself first. There are many roles in the Data science domain like Data Analyst, Data Engineer, MLOPS, Data Scientist. Every role has different expertise and requirement.Play on your strengths.

5. EDA tools to create dashboard and reports.

6. You should tell Story using Data to ensure you clearly communicate your insights.

7. Learn Docker, Flask, Github.

8. Understand the product/problem first, take time to understand the business requirements.

9. Especially for Data Scientist aspirants- You should have the expertise of at least anyone mentioned subject (IP/CV/NLP/Financial sector etc.)

10. Basic knowledge of AWS/GCP.

If you immune yourself with these tips then, Voilà! you will be better off to emerge victorious in the Data Science field.