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via Udemy |
Go to Course: https://www.udemy.com/course/data-analysis-for-market-research-with-excel-tableau/
Certainly! Here's a comprehensive review and recommendation for the "Data Analysis for Market Research with Excel & Tableau" course on Coursera: --- **Course Review: Data Analysis for Market Research with Excel & Tableau** The "Data Analysis for Market Research with Excel & Tableau" course is an excellent choice for anyone looking to develop practical skills in market research, data analysis, and visualization. This course stands out due to its comprehensive, project-based approach, combining both statistical knowledge and business intelligence tools to provide a well-rounded learning experience. **What You Will Learn** The course covers a broad spectrum of topics essential for modern market research. Starting from the fundamentals, it teaches you the basics of market research, including distinguishing between quantitative and qualitative methods and understanding the step-by-step process. This foundation ensures you grasp why and how market research informs business decisions. A significant strength of this course is its focus on hands-on learning. You will learn to find, download, and clean real-world datasets from Kaggle, which enhances your practical data handling skills. The course then guides you through exploring and analyzing data, identifying trends, and deriving actionable insights. It uniquely combines the use of Microsoft Excel and Tableau. In Excel, you will learn to organize, filter, and visualize data through charts, pivot tables, and conditional formatting. You will also conduct in-depth market segmentation—by skin type, price, ingredients, gender, size, and packaging—specifically tailored to cosmetic products, which provides valuable insights into consumer preferences and market gaps. Using Tableau, the course shifts focus to visual storytelling—an essential skill for presenting findings compellingly. You will analyze restaurant data, exploring pricing strategies, cuisine positioning, location-based competition, and the impact of online ordering, supplemented by visual dashboards that make your insights accessible. Furthermore, the inclusion of how to utilize AI tools like Julius AI to analyze data adds a future-forward dimension, empowering you to leverage advanced technology for data-driven decision-making. **Strengths and Highlights** - **Practical, Project-Based Learning:** Applying concepts directly to real datasets ensures skills are immediately transferable. - **Diverse Data Handling Skills:** From cleaning raw data to performing correlation analysis and segmentation. - **Focus on Market Specifics:** In-depth case studies for cosmetic products and restaurants make the learning relevant and industry-specific. - **Visual and Analytical Balance:** Combining Excel's analytical tools and Tableau's visualization capabilities caters to multiple learning preferences. - **Introduction to AI in Data Analysis:** Preparing learners for future trends in market research. **Who Should Enroll?** This course is highly recommended for marketing professionals, business analysts, students, or entrepreneurs interested in sharpening their data analysis skills specific to market research. It is suitable for beginners with basic computer proficiency but offers enough depth for those wanting to apply these skills professionally. **Final Verdict & Recommendation** Overall, this course provides a comprehensive, engaging, and highly practical approach to mastering market research analysis using Excel and Tableau. Its project-based methodology ensures you not only learn concepts but also develop the ability to apply them effectively in real-world scenarios. If your goal is to gain hands-on experience in analyzing market trends, customer segmentation, and competitor strategies—especially within the cosmetic and restaurant industries—this course is an excellent investment. It combines theoretical knowledge with practical exercises, making complex concepts approachable and applicable. **Highly Recommended!** --- Let me know if you'd like a shorter summary or additional details!
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