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When you’re looking for a data analytics job, the number one thing you want to show off to your future employer is your skill set. This can be done in the interview phase during your technical assessment, however you will need to land the call back first. What you can do to secure that call back is by showing off your skillset in your resume with data analytic-focused projects.
Projects will let your future employer know that you can use your technical skills and apply them to real-life scenarios. Not only will this help you improve your skills and continuously improve, but it will be a great way to get an interview.
Netflix Content Strategy: Case Study
Link: Netflix Content Strategy: Case Study
One of the main roles and responsibilities of a data analyst is exploring the different patterns and relationships in a dataset. In this Netflix Content Strategy project, you have a dataset that consists of Netflix content from 2023 with attributes such as content type, release season, language, and release day.
The goal of this project is to analyze the content strategy and understand how the different variables affect viewership patterns. You will then be able to uncover further insights into how Netflix maximizes audience engagement.
Carbon Emissions Worldwide: Case Study
Link: Carbon Emissions Worldwide: Case Study
A lot of organisations are interested in carbon neutrality to meet their ESG goals. Moving forward as a data analyst, you will see more stakeholders interested in these numbers therefore this project will definitely stand out. The Carbon Emissions Worldwide project uses two datasets that explore the global impact of carbon emissions. The first dataset Annual Surface Temperature Change spans from 1960 to 2022 and the second dataset, Monthly Atmospheric CO₂ Concentrations spans from 1958 to 2024.
The problem that you are trying to solve is to understand and address the impacts of carbon emissions on global temperatures. You want to look in and identify historical trends, detect anomalies, and simulate future scenarios to evaluate potential policy outcomes. Based on this you also want to look into “what-if” scenarios around what happens if CO₂ levels increase or decrease by a specific percentage.
Rainfall Trends in India Analysis with Python
Link: Rainfall Trends in India Analysis with Python
Another one about our lovely planet but this time around rainfall and its impact on India’s economy, from agriculture, water resources, and disasters. The dataset spans from 1901 to 2015 and offers a comprehensive overview of rainfall patterns in India. Variables such as monthly rainfall data, seasonal aggregations, and annual totals are vital to the problem you will solve.
The problem that you want to dive into is the rainfall trends and their implications on India’s economy. You want to analyze the historical rainfall data to uncover patterns and trends, providing you with information to detect years or months with anomalous rainfall behaviour, and further explore the relationships between seasonal and annual rainfall. Is it due to a change in climate conditions and what measures can be taken to help stakeholders prepare?
Market Size of EVs: Case Study
Link: Market Size of EVs: Case Study
Electrical vehicles are currently dominating the market and market size analysis will be a great project to add to your resume. You want to analyze the potential sales for a product within a particular market segment. In this case study, you want to analyze the total volume of electrical vehicle registrations to understand the market growth, future trends, productions, development, etc.
To do this you want to assess the historical growth of electrical vehicle registrations, future registrations, and the distribution of registrations (models, geographic regions, etc). With this insight, you will be able to estimate the market size and potential growth in the upcoming years which can provide insights to stakeholders.
Wrapping Up
4 simple but effective projects for you to do now to put on your resume. All these projects let your next employer know how your insights have led to improving the stakeholder’s decision-making process. This is what they want!
Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.