Data Analytics using Python

Description

Are you passionate about data and looking to kickstart your career in the field of data analytics? Join our dynamic team as a Data Analytics Intern and gain hands-on experience in leveraging Python for data analysis and visualization.

Responsibilities

• Work closely with our data analytics team to gather, clean, and analyze large datasets from various sources.
• Utilize Python libraries such as Pandas, NumPy, and Matplotlib to manipulate, process, and visualize data effectively.
• Develop and implement data analysis models, applying statistical techniques to draw meaningful insights and patterns from the data.
• Collaborate with team members to create interactive dashboards and reports for business stakeholders using Python-based data visualization tools.
• Participate in data-driven decision-making, helping identify opportunities and areas for improvement based on analytical findings.
• Contribute to ongoing projects, applying your Python programming skills to solve real-world business challenges.

Qualifications

• Currently pursuing or recently completed a degree in a relevant field (such as Data Science, Statistics, Computer Science, or a related discipline).
• Strong understanding of R programming language and its ecosystem for data analysis.
• Familiarity with statistical concepts and techniques.
• Experience with data manipulation, cleaning, and visualization in R.
• Basic knowledge of machine learning concepts is a plus.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills to present findings to both technical and non-technical audiences.
• Ability to work collaboratively in a team environment.

Certification

Get industry-relevant certificates recognized by  STED Council on successful completion of the internship.