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Key skills covered:
1. Programming:
– Python and R: Learn these languages for data manipulation and analysis.
2. Statistics:
– Statistical methods: a good understanding of statistics is essential for making data-driven decisions.
3. Machine Learning:
– Algorithms: Understand how to implement and tune various machine learning algorithms, the core of data science.
4. Data Visualization:
– Tools: Use tools like Tableau and Matplotlib to bring your data insights to life.
5. Big data tools:
– Hadoop and Spark: get to know these tools to efficiently handle large data sets.
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Data management
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