Data Analyst Intern
Dexter's Tech India
Job Description
"Unlock a career in data analysis with Dexter's Tech's Career Launch Internship Program. As a Data Analyst Intern, you'll gain hands-on experience, industry exposure, and mentorship to set you up for success in the field."
In this role, you'll work on real-world projects, collaborating with experienced professionals to develop and apply data analysis skills. You'll have the opportunity to work with various tools and technologies, including data visualization software and statistical analysis packages.
Throughout the 3-month internship, you'll receive guidance and support from our experienced team, as well as access to a range of learning resources and project evaluations to help you track your progress and identify areas for improvement.
Why you should learn this:
According to the Bureau of Labor Statistics, employment of data scientists and analysts is projected to grow 14% from 2020 to 2030, much faster than the average for all occupations.
Expected Salary: $60,000 - $80,000 per year, depending on location and level of experience.
How it works:
- Complete online coursework and training programs to develop your data analysis skills and knowledge.
- Collaborate with experienced professionals on real-world projects to apply your skills and gain industry experience.
Core Concepts to Master
Data Visualization
Learn to effectively communicate complex data insights through the use of data visualization tools and techniques, including Tableau, Power BI, and D3.js.
Statistical Analysis
Develop a strong foundation in statistical analysis, including hypothesis testing, confidence intervals, and regression analysis, using tools like R and Python.
Data Mining
Discover patterns and relationships in large datasets using data mining techniques, including clustering, decision trees, and neural networks.
Interview Questions (Beginner)
- What do you know about data analysis, and how do you think it applies to real-world problems?
- Can you walk me through a time when you had to analyze a complex dataset and present your findings to a non-technical audience?
Job Overview
Advance Questions
- • How would you approach a data science project from scratch, including data cleaning, feature engineering, and model selection?
- • Can you explain the concept of regularization in machine learning, and how it's used to prevent overfitting?