8 days 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

Data Science Intern at ArGo Intern

ArGo Intern is 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.

Key skills/competency

  • Python
  • SQL
  • Pandas
  • Data Analysis
  • Data Cleaning
  • Data Preprocessing
  • Exploratory Data Analysis (EDA)
  • Data Modeling
  • Data Visualization
  • Insight Generation
  • Machine Learning Concepts
  • Analytical Thinking

Tags:

Data Science Intern
Data Analysis
Data Preprocessing
Data Modeling
Data Visualization
Report Generation
Exploratory Data Analysis
Collaboration
Learning
Insight Generation
Python
SQL
Pandas
Data Cleaning
Data Science Tools
Machine Learning Concepts
Jupyter Notebooks
Tableau
Excel
Analytical Tools

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How to Get Hired at ArGo Intern

  • Research ArGo Intern's culture: Understand their focus on learning and development for interns, emphasizing their mission.
  • Tailor your resume: Highlight basic Python, SQL, Pandas, and data analysis coursework or relevant personal projects.
  • Showcase passion for data science: Emphasize curiosity and eagerness to learn through personal projects and online courses.
  • Prepare for technical questions: Review basic data manipulation in Python (Pandas) and fundamental SQL query writing skills.
  • Emphasize collaboration skills: Be ready to discuss how you work effectively in a team environment and communicate technical findings.

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