Everyone wants to be a part of the Data Science and Machine Learning bandwagon, from Google, Microsoft, and Facebook to Swiggy, Zomato, and Byju’s. Data science is clearly one of the most rapidly expanding fields in terms of employment opportunities and pay.
From simple sales forecasting to self-driving cars and personal assistants, data science is applied in a variety of applications.
But how do you get started in this field of data?
Without sufficient direction and strategy, it might be difficult to begin a data science profession.
There are two broad categories of vital skills that are required for a data scientist:
- Statistical analysis and computing
- Machine Learning
- Deep Learning
- Processing large data sets
- Data Visualization
- Data Wrangling
- Big Data
Non Technical Skills
- Strong Business Acumen
- Strong Communication Skills
Developing all of the necessary abilities is a lengthy and difficult process that extends the time it takes to become an industry-ready professional.
You can try this learning path on data science for guidance