To become a data scientist, a degree in computer science, statistics, mathematics, data science is generally the most beneficial. Some people also pursue a career in data science with a background in engineering or IT. Common degrees that are helpful in this field include:
1. Bachelor’s Degree in Computer Science/IT: This provides a strong foundation in programming, data structures, algorithms, and databases.
2. Bachelor’s Degree in Statistics/Mathematics: This helps in understanding statistical analysis and mathematical modeling, which are core to data science.
3. Master’s Degree in Data Science/Analytics: This is a specialized degree covering advanced concepts like machine learning, AI, and data analysis.
4. Master’s in Business Analytics (MBA - Data Analytics): If you're interested in business-oriented roles, an MBA with a focus on analytics can also be a good option.
Key skills to focus on include:
- Programming languages: Python, R, SQL
- Statistical analysis & machine learning tools: Scikit-learn, TensorFlow, Keras, etc.
- Data visualization tools: Power BI, Tableau, Qlik Sense
- Big data tools: Hadoop, Spark
- Cloud technologies: AWS, Azure
You can read more details by visiting this link:
How to Become a Data Scientist?
This website provides a step-by-step guide explaining the necessary steps to become a data scientist.
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