12 hours ago

Data Science Intern

ArGo Intern

Hybrid
Intern
$0
Hybrid

Job Overview

Job TitleData Science Intern
Job TypeIntern
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$0
LocationHybrid

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Job Description

About the Role: Data Science Intern at ArGo Intern

ArGo Intern is seeking passionate and driven Data Science Interns 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
  • Python
  • SQL
  • Pandas
  • Data Analysis
  • Data Cleaning
  • Data Preprocessing
  • Exploratory Data Analysis (EDA)
  • Data Modeling
  • Data Visualization

Tags:

Data Science Intern
Data analysis
Data cleaning
Data preprocessing
Exploratory data analysis
Data modeling
Data visualization
Business decisions
Project collaboration
Insights generation
Skill development
Python
SQL
Pandas
Data tools
Visualization tools
Database queries
Programming
Scripting
Machine learning (basic)
Statistical analysis

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How to Get Hired at ArGo Intern

  • Research ArGo Intern's mission: Understand their focus on practical learning and skill development for interns.
  • Highlight Python, SQL, Pandas skills: Customize your resume to showcase projects or coursework using these key technologies.
  • Demonstrate data analysis understanding: Prepare to discuss data cleaning, EDA, and basic modeling concepts.
  • Emphasize a curious mindset: During interviews, express your eagerness to learn and grow in data science.
  • Showcase project-based learning: Be ready to share examples of past projects and the insights you generated.

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