7 hours ago
(This post was last modified: 7 hours ago by ruhiparveen.)
To become a data scientist, essential technical skills include proficiency in programming languages like Python and R for data manipulation and analysis. Strong knowledge of statistical analysis, machine learning algorithms, and data visualization tools like Tableau or Matplotlib is crucial. Expertise in data wrangling and cleaning, using libraries such as Pandas, is also important. Familiarity with SQL for database management, along with experience in big data tools like Hadoop and Spark, is beneficial. Additionally, understanding cloud platforms (AWS, GCP, Azure) and version control (Git) can enhance collaboration and scalability in data projects.
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