This virtual experience offers practical exposure to real-world data analytics tasks using Power BI. It simulates how PwC leverages data analytics in the context of consulting and provides an opportunity to enhance my problem-solving and data visualization skills.
- Objective: Understand the client’s business problem and data requirements.
- Details: I am introduced to the client’s case, where a dataset is provided. The task involves clarifying what insights are needed from the data and how to approach the analysis. I am required to frame business questions that guide the analysis.
- Objective: Clean and organize raw data to make it suitable for analysis.
- Details: The given dataset may have inconsistencies, missing values, and formatting issues. The task focuses on using Power BI’s data transformation tools to prepare the data for modeling. I apply transformations like removing duplicates, filling in missing data, and organizing the dataset in a usable format.
- Objective: Analyze the cleaned data and create visualizations to derive insights.
- Details: After data preparation, I conduct data analysis using Power BI’s visualization capabilities. The task focuses on creating dashboards and reports to visualize key metrics and trends relevant to the business problem. This includes using graphs, charts, and interactive elements in Power BI.
- Objective: Deliver actionable insights and recommendations to the client.
- Details: The final task involves interpreting the visualized data and providing recommendations based on my analysis. I prepare a report or presentation to communicate findings in a concise and clear manner, simulating a real consulting scenario with PwC.
- Power BI: Data cleaning, modeling, and visualization
- Problem-solving using data analytics
- Business acumen and communication of insights
- Practical application of data analytics in consulting