
Master market research with excel by turning data into strategic insights through advanced visualizations, artificial intelligence, deep learning, and machine learning in a collaborative workspace.
Explore how Excel supports market research by organizing, analyzing, visualizing, and reporting large data sets, using pivot tables, regression, and correlation to reveal trends, customer preferences, and market gaps.
Explore essential market research terms, demographics, psychographics, sampling methods, data collection, surveys, interviews, and focus groups, then apply segmentation and primary research to generate data-driven insights with Excel.
Explore interviews as a source of qualitative market insights, using one-on-one and focus groups, with AI tools like ChatGPT and Gemini to generate questions and streamline analysis.
Design effective research questions and hypotheses using structured prompting and research frameworks to extract targeted, data-driven insights. Leverage swot analysis, customer personas, partnerships, and excel-based analysis to inform market strategies.
Leverage Statista for data-driven market research across industries and trends, supporting strategic decision making. Analyze online conversations with Brandwatch, optimize user experience with Hotjar, and sharpen SEO with SEMrush.
Design an Excel-driven market research survey with survey responses and questions sheets, using IDs, timestamps, demographics (age, gender), skincare ingredients, purchase factors, and data validation dropdowns for streamlined analysis.
Learn to set up Excel for data collection by automating entry, defining variables, and applying structured formatting, validation, and drop-downs for accurate market research data.
Import and transform data from CSV files, web scraping, and APIs using Get Data and Power Query Editor, then load and refresh live datasets in Excel for analysis.
Learn to handle and clean raw data by defining variable headings, removing duplicates, flagging inconsistencies, and applying formatting, flash fill, and text to columns to reveal GPA and SAT scores.
Master Excel data visualization to turn education and career success data into insights with charts, sparklines, pivot tables, demographic analyses of gender and fields of study, GPA and SAT scores.
Explore descriptive statistics in Excel, including mean, median, mode, and standard deviation, and access data analysis, Anova, correlation analysis, and regression tools for market research insights.
Learn to use pivot tables and pivot charts to summarize market data, compare variables, and visualize patterns, while applying Anova charts, t tests, and AI-assisted summarization to derive actionable insights.
Master advanced Excel formulas for data analysis, using VLOOKUP, INDEX, and MATCH to retrieve salary data from large data sets, and explore a free formula generator with a 14-day trial.
Engage in a hands-on exercise to master pivot tables and pivot charts for market trends, including gender distribution, city segmentation, and product-line analyses, with AI-powered insights.
Visualize data through dashboards and reports using line, bar, and pie charts to reveal trends, comparisons, proportions, geographic maps, and KPI metrics, supported by heat maps and interactive filters.
Create interactive dashboards using pivot charts and filters to explore demographics. Apply dynamic data filtering and slicers to update visualizations in real time.
Explore interactive dashboards for market research in Excel, using maps, bar charts, and filters to compare product lines across cities and gain geographic insights.
Update dashboards with power queries and macros to enable real time data refresh and automated updates. Configure queries and connections, and automate tasks using macros for dynamic market research insights.
Visualize geospatial data in Excel using the filled map feature and one-click maps, with add-ins enabling external data visualization for countrywide sales analysis across Indonesia, Russia, and India.
Learn to integrate Excel with online visualization tools like Power BI, Looker Studio, and Tableau to enable data connectivity, interactive dashboards, and actionable market insights.
Visualize survey data with advanced techniques to reveal trends, correlations, and patterns, using bar graphs, histograms, sentiment analysis, geospatial maps, and interactive dashboards.
Apply predictive analytics in market research using statistical techniques, machine learning, and AI to analyze historical data and forecast future trends in consumer behavior.
Leverage Excel's forecast function and linear regression to predict future values, enhanced by Data Analysis Toolpak, moving averages, regression analysis, and exponential smoothing for more accurate forecasts.
Forecast market disruptions and external shocks with Excel by using moving averages and trend analysis. Apply linear regression and function-based modeling to generate sales forecasts and what-if analyses.
Integrate external data in Excel to improve predictions using Google Trends and live data, transforming large scale datasets with Power Query Editor and csv integration.
Consolidate predictive analytics and market forecasting concepts, apply clustering, and build a forecasting model using a three month moving average and Excel forecast tools for short-term demand projections.
Analyze how consumer sentiment drives business impact through market research and sentiment analysis in e-commerce. Leverage customer reviews and ratings to guide product development and strategic growth.
Clean and preprocess text for sentiment analysis in Excel by removing extra spaces, standardizing formatting, and applying NLP steps like tokenization, stemming, and lemmatization to prepare structured data for analysis.
Learn to clean unprocessed text in Excel, extract keywords, count words, and apply conditional logic and basic sentiment analysis using text mining techniques for marketing insights.
Leverage AI-powered sentiment analysis with APIs in Excel to classify reviews as positive, negative, or neutral, and derive actionable improvement insights using tools like ChatGPT and other AI models.
Utilize Power BI dynamic sentiment dashboards to monitor real-time sentiment, integrating AI-driven tracking, NLP categorization, and interactive visuals for rapid decisions.
Analyze consumer motivations, emotional, practical, and social, and how fear of missing out, exclusivity, and brand trust drive purchases. Use segmentation and omnichannel strategies to boost value-driven sales.
Learn competitor benchmarking in Excel by applying weighted scoring to criteria such as product quality, reviews, engagement, and eco-friendly packaging, using web-scraped data and charts for data-driven insights.
Explore gap analysis by comparing current performance to industry benchmarks to identify product, service, and customer needs gaps and estimate the expected profit gap for strategic decisions.
Learn to use SWOT analysis as a strategic planning tool to assess strengths and weaknesses against opportunities and threats, benchmark competitors, and visualize scores with data bars in Excel.
Analyze social media sentiment and keyword trends with AI-powered NLP and tools like Power BI, Python, and Excel to uncover competitive insights, pricing, and market opportunities.
Analyze consumer preferences and trends in Excel by blending sentiment analysis, feedback insights, and buying behavior with trend forecasting to optimize services, pricing, and personalization.
Design and execute a project-based market research workflow in Excel, applying data collection, cleaning, pivot tables, and predictive analytics to generate strategic business insights.
Explore visualizing market research data with recommended charts and pivot tables to compare brand performance, demographics, and market capitalization across regions, highlighting Meta Brains' leading sales.
Finalize pivot tables to size the market, compute market share, and apply a composite score to rank competitors, visualizing with a pie chart.
Analyze customer income data to classify markets as ultra luxury, luxury, or standard. Leverage Excel based forecasting, AI analytics, and demographic insights to refine pricing and marketing decisions.
Leverage power tables, visualizations, and SWOT analysis within a browser-based research framework to turn market data into predictive insights and strategic decisions, using pivot tables, demographics, and real-time reporting.
Explore how Power Automate enables end-to-end cloud automation and desktop flows with low-code solutions, AI integration, and templates to streamline market research tasks from data collection to analysis.
Explore Excel power query to transform and automate data for market research, using get data, refresh, merge queries, and URL sourcing for real-time insights.
Explore Microsoft Power BI, an AI-powered reporting tool, to clean, pre-process, and integrate data into visualizations with a single click, including Flipkart sales data and demographics.
Unlock the full potential of Excel as a powerful market research tool with "Excel Market Research Mastery: Data to Strategic Insights." This comprehensive course bridges the gap between basic Excel functions and advanced market analysis techniques, equipping you with the skills to conduct professional-grade market research using the software you already know.
From setting up effective data collection frameworks to creating interactive dashboards that tell compelling market stories, this course takes you through the complete market research process with Excel as your primary tool. You'll learn how to import, clean, analyze, and visualize market data using both native Excel features and powerful integrations.
What sets this course apart is its practical, hands-on approach. Each module includes real-world exercises that reinforce concepts through application. You'll design surveys, analyze competitor data, forecast market trends, and even conduct sentiment analysis—all within Excel. By the end of the course, you'll have completed a comprehensive market research project that showcases your new skills.
The curriculum covers both fundamental and advanced topics, including statistical analysis techniques, predictive analytics, geospatial data visualization, and automation with Power Query and Power Automate. We also address critical ethical and legal considerations in market research to ensure your practices meet industry standards.
Whether you're a marketing professional looking to enhance your analytical skills, a business owner seeking market-driven insights, or a researcher wanting to leverage Excel's full capabilities, this course provides the frameworks and techniques to transform raw data into strategic business decisions.
Join us and master the art and science of market research with the world's most accessible data analysis tool—Microsoft Excel.