Data Science Intern (Python, SQL, Pandas)
ArGo Intern · India
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- Hybrid
- Internship
- India
Job highlights
- Gain hands-on data science experience.
- Work with Python, SQL, and Pandas.
- Learn data cleaning and modeling.
- Develop reporting and visualization skills.
- Remote internship with placement support.
About the role
Data Science Intern (Python, SQL, Pandas)
We are seeking passionate and driven Data Science Interns who are eager to learn, work with real datasets, and build a strong foundation in data science.
Roles & Responsibilities
- Work with data using Python, SQL, and Pandas
- Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
- Build basic data models and generate insights
- Create reports and visualizations to support business decisions
- Collaborate with the team on real-world data projects
Eligibility Criteria
- Freshers and students are welcome
- Basic knowledge of Python, SQL, and Pandas
- Understanding of data analysis concepts
- Curious mindset and willingness to learn
Internship Details
- Mode: Virtual / Remote
- Duration: Flexible
- Stipend: Not stipend based
- Perks & Benefits: Hands-on experience with real datasets, Internship Certificate, Skill development & project-based learning. Top performers will receive 100% placement support.
How to Apply
Interested candidates can apply by clicking on the “Apply” option.
Key skills/competency
- Data Science Intern
- Python
- SQL
- Pandas
- Data Cleaning
- Data Preprocessing
- Exploratory Data Analysis (EDA)
- Data Modeling
- Data Visualization
- Reporting
Skills & topics
- Data Science
- Internship
- Python
- SQL
- Pandas
- Data Analysis
- Data Cleaning
- Data Modeling
- Data Visualization
- Remote Internship
- Fresher
- Student
How to get hired
- Customize your resume: Highlight Python, SQL, and Pandas skills.
- Showcase projects: Include any data analysis or modeling experience.
- Express enthusiasm: Demonstrate your willingness to learn.
- Apply promptly: Click the 'Apply' option on the ArGo Intern platform.
- Prepare for interviews: Be ready to discuss basic data concepts.
Technical preparation
Practice Python coding exercises.,Master SQL query writing.,Work through Pandas data manipulation tutorials.,Study basic data analysis concepts.
Behavioral questions
Describe a challenging data problem.,How do you handle learning new tools?,Share an example of teamwork.,Why are you interested in data science?
Frequently asked questions
- What are the eligibility criteria for the Data Science Intern role at ArGo Intern?
- ArGo Intern welcomes freshers and students for the Data Science Intern position. You should have a basic knowledge of Python, SQL, and Pandas, along with a fundamental understanding of data analysis concepts and a curious mindset.
- Is this Data Science Intern position paid or unpaid at ArGo Intern?
- The Data Science Intern position at ArGo Intern is not stipend-based. However, it offers valuable perks such as hands-on experience, an internship certificate, skill development, and project-based learning.
- What is the work arrangement for the Data Science Intern role at ArGo Intern?
- This Data Science Intern position at ArGo Intern is a virtual/remote internship, allowing you to work from anywhere.
- What technologies will I use as a Data Science Intern at ArGo Intern?
- As a Data Science Intern at ArGo Intern, you will primarily work with Python, SQL, and Pandas for data manipulation, cleaning, preprocessing, and analysis.
- Are there opportunities for career advancement after the Data Science Internship at ArGo Intern?
- Yes, ArGo Intern provides a significant perk: top performers in the Data Science Internship program will receive 100% placement support, offering a great stepping stone for your career.
- How can I apply for the Data Science Intern position at ArGo Intern?
- To apply for the Data Science Intern role at ArGo Intern, simply click on the 'Apply' option provided on their platform.
- What kind of projects can I expect to work on as a Data Science Intern at ArGo Intern?
- As a Data Science Intern at ArGo Intern, you will collaborate with the team on real-world data projects, involving data cleaning, preprocessing, exploratory data analysis, building basic models, and creating reports and visualizations.