Data Analysis for Market Research with Excel & Tableau

Welcome to Data Analysis for Market Research with Excel & Tableau course. This is a comprehensive project based course where you will learn how to analyze market trends, segment customer data, evaluate competitor strategies, and visualize data using Microsoft Excel and Tableau. This course is a perfect combination between statistics and business intelligence, making it an ideal opportunity to practice your analytical skills while improving your technical knowledge in market research methodologies.

In the introduction session, you will learn the basic fundamentals of market research, such as getting to know its use cases, step by step process, and also learn the difference between quantitative and qualitative market research. Then, in the next section, we will find and download market research dataset from Kaggle, it is a platform that provides a wide range of datasets from various industries. Afterward, we will set up browser based Microsoft Excel, enabling us to have the necessary tools to perform data analysis and visualization effectively.

We will go through the basic functionalities like sorting, filtering, conditional formatting, and pivot tables to organize and summarize data efficiently. Following that, we will clean the market research data, specifically we will remove missing values and duplicates, making sure the dataset is accurate and ready for analysis. Then, after that, we will conduct exploratory data analysis to identify patterns, trends, and key insights within the dataset.

This will help us better understand the structure of the data and gain a clear overview of its composition and relationships between variables. Then, in the next section, we will conduct extensive market research for cosmetic products using Microsoft Excel. In the first section, we will segment customer data by skin type.

This will enable us to identify which skin concerns are most addressed by brands and optimize product offerings based on demand. Next, we will analyze the price range by category. This will allow us to assess pricing strategies, identify affordability trends, and find gaps in premium or budget-friendly markets.

Following that, we will analyze market share. This will enable us to determine industry leaders, track emerging competitors, and uncover opportunities for new product launches. Then, in the next section, we will find the correlation between price and customer reviews.

This will enable us to assess whether higher-priced products receive better ratings and guide pricing and marketing decisions. Next, we will analyze ingredient-based segmentation. This will assist us to identify trending ingredients, consumer preferences, and how brands differentiate their formulations.

In the next section, we will then segment products by gender. This will enable us to understand market demand for male and females. After that, we will conduct a product size preference analysis.

This helps determine which product sizes are most favored by consumers, allowing brands to optimize packaging and distribution strategies. In the last section, we will also segment products by packaging type. This will enable us to identify packaging trends, sustainability preferences, and functional design choices that influence purchases.

Then, in the next section, we will conduct market research for restaurants using Tableau. In the first section, we will analyze restaurant type pricing strategies to understand how different restaurant types position their prices. Next, we will examine cuisine type and price positioning to identify which cuisines are premium or budget-friendly.

Following that, we will conduct a location-based competitor pricing analysis to compare restaurant prices across different areas. Then, we will assess the impact of online ordering on ratings and pricing to determine if it influences customer perception and pricing strategies. In addition, we will find correlation between price and rating to see if higher-rated restaurants tend to have higher prices.

Lastly, at the end of the course, we will also learn to analyze data using AI, where you can input any data and let AI automatically extract valuable insights from the data.First of all, before getting into the course, we need to ask ourselves these questions: why should we learn about market research? Well, here is my answer, market research helps businesses understand customer preferences, optimize pricing strategies, and stay ahead of competitors. By analyzing trends and consumer behavior, companies can make data driven decisions, reduce risks, and maximize profitability.Below are things that you can expect to learn from this course:Learn basic fundamentals of market research, such as getting to know its use cases, the difference between quantitative and qualitative research, and understand market research step by step processLearn how to clean dataset by removing missing values and duplicatesLearn how to conduct market research for cosmetic product in ExcelLearn how to visualize data using bar chart, pie chart, scatter plot in ExcelLearn how to segment customer data by demographics, such as gender and skin typeLearn how to conduct price range analysisLearn how to analyze market shareLearn how to find correlation between price and product ratingLearn how to segment market by product ingredientsLearn how to analyze customer preferences regarding product size and packaging typeLearn how to conduct market research for restaurant using TableauLearn how to analyze competitors pricing strategies based on restaurant typeLearn how to conduct price positioning analysis based on cuisines typeLearn how to conduct location based pricing analysisLearn how to analyze the relationship between restaurant facility and pricingLearn how to analyze the relationship between food prices and ratingsLearn how to analyze and visualize market research data using Julius AI