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You will be updated with latest job alerts via emailRealworld Experience: Work on actual data projects and apply theoretical knowledge to practical scenarios.
Technical Skills: Develop and sharpen skills in data manipulation analysis and visualization using tools like Python R and SQL.
Problemsolving: Enhance analytical thinking by solving complex datarelated problems.
Mentorship: Gain valuable insights and guidance from experienced data scientists and professionals.
Networking: Build connections with industry professionals opening up future job opportunities.
Career Exploration: Explore various career paths within the field of data science such as data engineering analytics or machine learning.
Portfolio Building: Create a portfolio of projects to showcase to potential employers.
Industry Insights: Understand the industrys best practices and emerging trends in data science.
Collaboration: Work as part of a team improving communication and teamwork skills.
Innovation: Contribute to innovative projects and see the impact of your work on the business or research outcomes.
Required Experience:
Intern
Full-Time