Why Study Data Science
- Data science helps business to take key decisions and implement effective and innovative strategy to competes in cutthroat competition.
- Better understanding of your customers and how to effectively interact.
- Better financial management and data science can help organizations implement financial reports, evaluate financial trends and make firm decisions on budget, finance, supply chain and project management.
- Risk and fraud: data science helps to prevent risk and fraud.
- Data visualization: The most important factor in using data is to visualize it and implement marketing, sales and organizational activities.
Data Science versus data analytics
Data analytics is a branch of data science. Data scientists use data science to look for more specific answers to questions brought forth by data scientists.
Key requirements for becoming data analyst
- Data modelling and analytics
- Knowledge of programming language
- Statistics and probability
- Advance mathematics
- Data visualization
- Machine learning
- Deep learning
- Data wrangling
- Big and complex data processing and management
- Database management
Data Science as career
Because data is so pertinent and crucial for businesses to expand by accessing data modelling and sustainable practices, data scientists are one of the most promising professional paths.
Big data
Advise to aspirants
Study data science in industrialized nations like Australia, Canada, Ireland, the United States, and the United Kingdom. These countries provide both academic and practical learning opportunities.