In the article published in Easy Shiksha, Dr Abhijit Dasgupta (Assistant Professor and Director - Bachelor of Data Science) is discussing the five essential skills needed to build a successful career in the field of data science. He highlights the importance of a strong technical foundation, problem-solving abilities, and communication skills. The key areas he covers are:
The key areas he covers are:
- Programming and coding skills - Mastery of languages such as Python, R, and SQL is crucial for handling data, performing analysis, and creating visualisations.
- Statistics and mathematics - Understanding concepts like probability, linear algebra, and calculus helps in building and fine-tuning models.
- Data cleaning - Converting raw data into a structured and usable format is an important step for accurate analysis and effective model training.
- Machine learning and model building - Understanding various algorithms, utilising frameworks like TensorFlow, and applying evaluation metrics are key to building reliable predictive models.
- Data visualisation and communication - The ability to present insights through tools like Tableau, Power BI, and Python libraries is key to influencing decision-making.
To read the full article, please click here.
