Are you seeking to elevate your organization with fresh perspectives and dedicated talent? Consider hiring senior learners from the Acsenda School of Management as your virtual interns for a project-based experience. Throughout the internship, learners will collaborate closely on one or more projects, utilizing virtual communication tools for seamless interaction.

Our learners are equipped with the skills to excel in the following areas:

• Data Analysis: Analyzing complex data sets using various analytical tools and techniques.
• Data Visualization: Developing and maintaining visually appealing and informative reports using Power BI, Tableau, R, or Python.
• Data Modeling and Dashboards: Creating data models, dashboards, and visualizations to communicate key insights and trends using Power BI, Tableau, R, or Python.
• Information Systems: Contributing to the development and execution of plans and policies that optimize the efficiency and effectiveness of information systems in a practical business setting.

Our learners bring a unique combination of enthusiasm, a strong foundation in data analysis, and a commitment to learning and growth. By partnering with us, your organization can benefit from their fresh perspectives, dedication, and the opportunity to contribute to their development.

Expected Outcomes:

• Enhanced data analysis skills: Learners will gain practical experience in data cleaning, preparation, analysis, and visualization.
• Problem-solving abilities: Students will develop their ability to identify and address data-related challenges.
• Communication skills: Learners will improve their ability to communicate findings effectively through written reports, presentations, and visualizations.
• Professional development: Interns will gain valuable work experience and develop transferable skills that can benefit their future careers.

Deliverables:

Data Analysis Report: A comprehensive report summarizing the project's findings, methods, and conclusions. The report should include:

• Executive summary
• Data exploration and analysis
• Results and insights
• Recommendations or conclusions
• Appendices (e.g., code, data sources)
• Format: PDF or Word document

Data Visualization: Visualizations that effectively communicate key findings and insights. These may include:

• Charts (e.g., bar charts, line charts, scatter plots)
• Graphs (e.g., histograms, box plots)
• Dashboards (interactive visualizations)
• Format: Interactive dashboard (e.g., Tableau, Power BI) or static images (e.g., PNG, JPEG)

Presentation: A concise and engaging presentation summarizing the project's key findings and recommendations. The presentation should be visually appealing and easy to follow.

• Format: PowerPoint, Google Slides, Canva, or similar presentation software

Codebook: A document that describes the data used in the project, including variable definitions, data types, and any preprocessing steps.

• Format: PDF or Word document