By Jasreet Kaur13, Jun 2024 02:30 PMjagranjosh.com
Top skills
To become a successful data scientist, you'll need to master a blend of technical and analytical skills. Tap to read about skills you need to become a data scientist.
Programming
Proficiency in Python, R, and SQL. These languages are essential for data manipulation and analysis.
Statistics
Strong foundation in statistical analysis. This helps in understanding data distributions and performing hypothesis testing.
Data Wrangling
Ability to preprocess and clean data. It's crucial for handling real-world data inconsistencies.
Machine Learning
Knowledge of key algorithms and model tuning. This is vital for building predictive models.
Data Visualisation
Skills in tools like Matplotlib, Seaborn, Tableau, or Power BI. These tools are important for presenting data insights clearly.
Domain Knowledge
Understanding the specific industry or field. It allows you to interpret data in the correct context.