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Python Data Analysis Internship Jobs in Delaware

Hirekeyz Inc

Python Pyspark

Wilmington, DE · On-site

$48.75 - $67.25/hr

... and Data Lake Storage Experience with continuous integration/continuous deployment (CI/CD ... analytical abilities

TalentOla

Python PySpark

Wilmington, DE · On-site

$48.75 - $67.25/hr

... and Data Lake Storage Experience with continuous integration/continuous deployment (CI/CD ... analytical abilities

AYR Global IT Solutions Inc

Python / Spark Developer

Newark, DE · On-site

$49.25 - $67.75/hr

Python / Spark Developer Location: Newark, DE Contract: 6+ Months Only US Citizens and GC holders ... Develop, test, and maintain data and analytics needed for risk and finance models Process analysis ...

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Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
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Python Data Analysis Internship jobs near you

Python Pyspark

Hirekeyz Inc

Wilmington, DE • On-site

$48.75 - $67.25/hr

Contractor

Re-posted 18 days ago

Job description

Role: Python Pyspark
 
Location: Wilmington, DE,
 
Job Type: Contract/W2/Full Time
 
 
Job Description:
 
Must have skill: PySpark, including Spark SQL and other Spark APIs
 
Expert proficiency in Python programming language

Expert proficiency in PySpark, including Spark SQL and other Spark APIs

Testing and debugging applications with Python test framework tools like Pytest,PyUnit, etc

In-depth knowledge of Python frameworks and libraries, such as Django or Flask

Experience with AWS cloud platforms including services like S3, Databricks, and Data Lake Storage

Experience with continuous integration/continuous deployment (CI/CD) pipelines and tools

Experience with data pipeline tools such as Airflow, Kafka, and Jenkins.

Design principles that are executable for a scalable app
Qualification:
A bachelor’s degree in computer science, information technology, or any relevant field A master's degree is preferred but not mandatory.

Strong knowledge of cloud concepts, architecture patterns, and best practices

Proven experience in designing, implementing, and maintaining AWS solutions

Effective communication and teamwork skills, including the ability to collaborate with cross-functional teams

Strong problem-solving and analytical abilities