Datahut Internship 2024: Datahut Internship 2024 for its Data Analyst. Datahut Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Currently pursuing or completed courses in Computer Science, Data Science, Statistics, or a related field. if you are interested, please apply as soon as possible.
Company Name: Datahut
Role: Data Analyst
Location: Remote
Experience: Freshers
Qualification: Currently pursuing or completed courses in Computer Science, Data Science, Statistics, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Datahut Internship 2024
Job Description:
- As a Data Analyst Intern at Datahut, you will be at the intersection of data and marketing.
- Your primary responsibilities will involve scraping data from various sources, cleaning and organising this data, and then visualising it in a manner that is both insightful and actionable.
- You will work closely with our data science and marketing team to support ongoing projects and initiatives.
Requirements:
- Currently pursuing or completed courses in Computer Science, Data Science, Statistics, or a related field.
- Proficient in Python, with hands-on experience using libraries like BeautifulSoup, Pandas, NumPy, and Matplotlib/Seaborn for data scraping, processing, and visualisation.
- Familiarity with web technologies (HTML, CSS) and an understanding of the structure of web pages.
- Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent problem-solving skills and creativity in finding solutions to data-related issues.
- Ability to work independently as well as part of a team.
- Effective communication skills, with the ability to present data insights to non-technical team members.
Responsibility:
- Develop and implement web scrapers to gather information from specified sources using Python and libraries such as BeautifulSoup (BS4).
- Clean and preprocess raw data to ensure its quality and readiness for analysis.
- Analyze cleaned data to identify patterns, trends, and insights.
- Create compelling visualisations of the data using Python libraries such as Matplotlib, Seaborn, or similar tools.
- Collaborate with team members to support data analysis and project objectives.
- Document all processes and methodologies used in data scraping, cleaning, and visualisation.
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