Data Analyst

For 10th: Completion of 10th grade.
For 12th: Completion of 12th grade with a background in Science (preferably with Mathematics) or Commerce with Mathematics.
Training: A bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or related fields. Proficiency in data analysis tools and programming languages such as Python, R, and SQL is beneficial.

No specific entrance tests for data analyst roles. However, entrance exams for relevant undergraduate courses like BSc Data Science, BSc Statistics, or BSc Computer Science can be beneficial.
For postgraduate courses: GRE (for international programs), JAM (Joint Admission Test for MSc), or other relevant exams for MSc in Data Science or related programs.

Bachelor’s Degree: BSc in Data Science, BSc in Statistics, BSc in Computer Science, BBA with specialization in Business Analytics.
Professional Certifications: Certifications in Data Analysis, Data Science, Python, R programming, SQL, or Machine Learning.
Master’s Degree: MSc in Data Science, MSc in Statistics, MSc in Business Analytics, MBA with specialization in Data Analytics.
Doctorate Degree: PhD in Data Science or related fields for advanced research and academic roles.

Finance: Analyzing financial data, developing investment strategies, and managing risk.
Healthcare: Analyzing patient data, optimizing clinical operations, and supporting medical research.
Marketing: Analyzing consumer behavior, optimizing marketing campaigns, and improving customer segmentation.
Retail: Analyzing sales data, optimizing inventory management, and enhancing customer experience.
Technology: Analyzing user data, optimizing product features, and improving user experience.
Government: Analyzing public data, supporting policy development, and improving public services.
Education: Analyzing educational data, optimizing learning outcomes, and supporting academic research.
Consulting: Providing data analysis services to businesses, developing data-driven strategies, and supporting decision-making.
Telecommunications: Analyzing network data, optimizing service quality, and improving customer satisfaction.
Sports Analytics: Analyzing player performance, developing team strategies, and optimizing game outcomes.