PART - A
DOMAIN : Business
• CASE STUDY: Product Segmentation Case Study
• CONTEXT: When you think of sneakers for a trip, the importance of good footwear cannot be discarded, and the obvious brands that come to mind are Adidas and Nike. Adidas vs Nike is a constant debate as the two giants in the apparel market, with a large market cap and market share, battle it out to come on top. As a newly hired Data Scientist in a market research company, you have been given the task of extracting insights from the data of men's and women's shoes, and grouping products together to identify similarities and differences between the product range of these renowned brands
• DATA DESCRIPTION : The dataset consists of 3268 products from Nike and Adidas with features of information including their ratings, discount, sales price, listed price, product name, and the number of reviews.
Part B
DOMAIN : Business
•CASE STUDY: Tourism Case Study
• CONTEXT : Tourism is now recognised as a directly measurable activity, enabling more accurate analysis and more effective policies can be made for tourism. Whereas previously the sector relied mostly on approximations from related areas of measurement (e.g. Balance of Payments statistics), tourism nowadays is a productive activity that can be analysed using factors like economic indicators, social indicators, environmental & infrastructure indicators, etc. As a Data Scientist in a leading tours and travels company, you have been assigned the task of analysing several of these factors and group countries based on them to help understand the key locations where the company can invest in tourism services
• DATA DESCRIPTION: This dataset contains key statistical indicators of the countries. It covers sections like general information, economic indicators, social indicators, environmental & infrastructural indicators
Data Dictionary : • country: country • Region: region of the country • Surface area: Surface area in sq. km • Population in thousands: Population of the country, in thousands, as in the year 2017 • Population density: Population density per km2, as in the year 2017 • GDP: Gross domestic product: GDP of the country in million USD • Economy: Agriculture: Contribution of agriculture to the economy as a percentage of Gross Value Added • Economy: Industry: Contribution of the industry to the economy as a percentage of Gross Value Added • Economy: Services and other activity: Contribution of services and other activities to the economy as a percentage of Gross Value Added • International trade: Balance: Amount, in million USD, of balance between international exports and imports • Health: Total expenditure: Total expenditure on healthcare facilities as a percentage of GDP • Education: Government expenditure: Total expenditure on education as a percentage of GDP • Mobile-cellular subscriptions: no. of mobile/cellular subscriptions per 100 people • Individuals using the Internet: no. of individuals using the Internet per 100 people • CO2 emission estimates: CO2 emission estimates in million tons
• PROJECT OBJECTIVE: To explore the data and identify different groups of countries based on important factors to find key locations where investments can be made to promote tourism services