The need for project and evidence-based learning in data-related job roles has become increasingly crucial in today's digital landscape.
Project-based learning allows individuals to apply their knowledge and skills to authentic scenarios, enabling them to develop a deep understanding of data-related concepts and techniques. By working on projects, aspiring data professionals gain hands-on experience in collecting, analyzing, and interpreting data, which is essential for success in their roles. This approach helps bridge the gap between theoretical knowledge and practical application, preparing individuals to tackle real challenges faced in the industry.
Furthermore, project-based learning foster critical thinking, problem-solving, and collaboration skills. Data-related job roles often involve complex challenges that require individuals to think critically, analyze data from multiple sources, and propose innovative solutions.
Employers are increasingly valuing project-based learning experiences when hiring data professionals. A strong portfolio of projects demonstrates practical skills, creativity, and a strong understanding of data analysis techniques. Moreover, individuals who can provide evidence of their decision-making based on data-driven insights are more likely to be trusted with making strategic decisions that drive business growth.
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Profile
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Hard Skills
- SQL
- Excel
- Kaggle datasets
- Business Analysis Projects
- Dashboards
- GitHub Wiki
- Python
- Pandas
- EDA
- Kaggle datasets
- GitHub Wiki
- Data Analysis Projects
- GitHub Wiki
- EDA
- Matplotlib
- Numpy
- Pandas
- Pyspark [Optional]
- Tableau/PowerBI
- Business Analysis Projects
- Dashboards
- DWH
- Databases
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Soft skills