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Analyze real world e-commerce datasets and determine a market entry plan for your product of interest
In a rapidly evolving marketplace, understanding consumer behavior and market trends is crucial for businesses aiming to stay ahead of the competition. In this Build Project, you will step into the role of a Business Intelligence Analyst at an imaginary fast-growing e-commerce company and explore how data-driven insights can inform strategic decisions. Guided by an experienced professional, you will analyze sales data and public product reviews to uncover business opportunities. By the end of the project, you’ll develop a published Jupyter notebook documenting all the analytical processes and comments and a 1-page written report with the insights derived and the market entry proposal
You will use industry-standard tools to clean and process data, perform statistical analysis and create visualizations. This Build Project will help you gain hands-on experience in data science, market analysis, and strategic planning—skills highly sought after in today's data-driven industries.
By the end of the project, you will be able to:
Utilize python to clean, process, explore, and visualize datasets
Utilize statistical methods to spot trends and opportunities in quantitative datasets
Utilize natural language processing models to interpret free text and drive insights
Synthesize results from research to draft market analysis and derive market entry plan
In this session, you will set up your python and jupyter notebook environment, get familiarized with helium 10, and get introduced to how analytics will play a crucial role in today’s e-commerce world.
In this session, you will be learning how to pick their e-commerce keyword and how to verify its trending potential through google trends. You will also learn how to use the proper tools to scrape sales and public review data from amazon.com.
Through a live code demo, you will learn how to explore, clean, and prepare their datasets into analytics-ready form.
In a live demo, you will learn various visualization tools and methods, plus the techniques to analyze data from multiple angles.
Through a live demo, you will learn how to analyze free text data to add an extra perspective to your market analysis and entry planning.
Through live business case reviews and concept walkthroughs, you will learn how to synthesize your previous learnings into a written report, plus how to find business opportunities for your market entry draft.
You will be learning how to manage your market entry timeline by creating your own gantt charts. You will also be discussing and refining your visualizations, insights, and market entry proposals with instructor.
You will be presenting your analytical findings and your written report(optional) in a powerpoint format, and getting feedbacks from your peers and instructor.
Experience with basic python programming (pandas, numpy, matplotlib, and basic data manipulations)
Familiarity with basic statistics (descriptive statistics, probability, and etc.)
Interest in data analytics/data science
Interest in market analysis/entry planning
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