Excel for Market Research Strategies from Udemy

Welcome to Excel for Marketing Research Strategies, a specialized course designed to teach you how to use Excel in the context of marketing research and business decision-making. This course is designed to equip students with the essential Excel skills needed to conduct effective marketing research and data analysis. By the end of this course, students will be able to leverage Excel's powerful tools to collect, clean, analyze, and visualize marketing data to guide informed and intelligent decision-making processes.

Kill Two Birds with One Stone:

This is not just another Excel course—this course focuses on how to leverage Excel’s powerful tools and functions to solve real marketing research problems. You will learn many key skills such as:

Data Collection and Organization:

You will start by learning how to gather and organize data from trusted sources such as Census of the USA and the Federal Reserve Economic Data (FRED) add-in.

Use the powerful tools such as Pivot tables, filters, sorting
Master data cleaning techniques, including handling missing values, outliers, and inconsistencies using simplified yet advanced statistical techniques that are implemented in Excel
Organize and structure data effectively for analysis
Creating Data Hierarchies and data aggregation

Data Analysis and Interpretation:

Demand and Sales Forecasting: Learn how to apply various forecasting techniques such as moving averages and multiple regression models to predict sales and demand.
Data Analysis and Interpretation: Master how to summarize large datasets, identify anomalies, and spot outliers to improve the accuracy of your research.
Business Formula Application: Learn how to write and implement Excel functions to solve business problems, like determining product pricing, calculating customer lifetime value, and assessing churn rates.

Other Skills

Utilize descriptive statistics to summarize and understand data distributions
Employ data visualization techniques (charts, graphs) to uncover trends and patterns
Conduct hypothesis testing and statistical analysis to draw meaningful conclusions
Utilize Excel's built-in functions (e.g. Let’s go.
About Your Teacher
Hey there. I’m Dr. Mohamed Habibi, an award-winning marketing professor at a major business school here in the U.S. In 2024, I was lucky enough to snag two awards—one for my teaching innovation and another for being an outstanding researcher.
I’m also a best-selling Udemy instructor and one of the highest-rated publishers on the platform. Thousands of students have taken my courses and left me awesome reviews, which I’m super grateful for.
Long story short, you’re in good hands. I’m excited to teach you these skills and help you level up.

What's inside

Learning objectives

Apply excel skills to marketing research: use excel tools in the context of solving real-world marketing research problems.
Integrate real data sources: work with data from sources like census. gov and the federal reserve economic data (fred) add-in o analyze marketing trends.
Perform demand and sales forecasting: develop the skills to forecast demand and sales using techniques such as moving averages and multiple regressions.
You will use all the shortcuts and deep functions of excel: use excel like a professional by learning shortcuts and advanced functions
Analyze and organize large datasets: efficiently summarize and organize large datasets for meaningful insights.

Identify and address data anomalies: detect anomalies and outliers in data, ensuring the accuracy of their analyses.
Master advanced excel functions for marketing research: become proficient in using advanced excel functions and tools tailored for marketing research analysis.
Enhance data-driven decision making: apply excel and marketing research knowledge to make informed, data-driven decisions in real-world business scenarios
You will gain a deep understanding of one of the hottest topics of the moment, excel pivot tables

Apply excel skills to marketing research: use excel tools in the context of solving real-world marketing research problems.
Integrate real data sources: work with data from sources like census. gov and the federal reserve economic data (fred) add-in o analyze marketing trends.
Perform demand and sales forecasting: develop the skills to forecast demand and sales using techniques such as moving averages and multiple regressions.
You will use all the shortcuts and deep functions of excel: use excel like a professional by learning shortcuts and advanced functions
Analyze and organize large datasets: efficiently summarize and organize large datasets for meaningful insights.
Identify and address data anomalies: detect anomalies and outliers in data, ensuring the accuracy of their analyses.
Master advanced excel functions for marketing research: become proficient in using advanced excel functions and tools tailored for marketing research analysis.
Enhance data-driven decision making: apply excel and marketing research knowledge to make informed, data-driven decisions in real-world business scenarios
You will gain a deep understanding of one of the hottest topics of the moment, excel pivot tables

Syllabus

Introduction

Introduction Excel for Marketing Research

What is the nature of demand? How to run auto regression in excel, calculate growth rate and net changes, data hierarchy and subtotal tools, market share and market size, Sort and Filtering Data

Understanding Demand Importance in Marketing Research

How to Collect Census Data; Satellite Internet Demand Forecast,

Auto Regression in Excel; Identifying Highest Demand

Growth Rate Calculation; Fastest Growing Demand and Segments

Weakness of Growth Rate and Importance of Establish Base Values

Subtotal Tools; Regional Demand and Data Hierarchy

How to Calculate Market Size and Market Share in Excel

The supply and demand curve shows how the price of a product affects its demand. As price decreases, demand typically increases. This is shown by graphs and charts in excel

Demand Curve and Relationship with Price, Historical Data

Create Demand vs Price Chart in Excel

Learn Moving Averages, Naive Forecasting, and Regressions using Excel. Calculate the average errors using absolute functions and compare the effectiveness of forecasting methods

Three Forecasting Methods;Their Strength and Weaknesses; Regression, Averages

Naive Forecast Method and Error Percentage in Excel

Moving Averages Forecast and Its Error Percentage in Exccel

Run Regression in Excel, Create Estimates, Regression Interpretation and Error

Forecast Charts and Comparison

Run Multiple Regression, Interpret, Build and Forecast Future in Excel

Build Multiple Regression Model in Excel

Learn how to prepare large data files, clean, summarize, use pivot tables and functions to analyze large data sets such as countif, sumif, averageif, nested if and so on

Prepare a Large Data Set, Summarize, Sort, Filter, Date Functions

Calculate Consumer Spending; Summarize Data using Sumif, Countif, Averageif

Pivot Table: Learn the hottest tool in Excel in 3 minutes

Uncovering Seasonality and Averageif function and more

How to use FRED Ad ins, Compile real data sets, analyze data for sales and demand forecasting, Stress Test, Scenario Analysis

Federal Reserve Economic Data (FRED) Add ins Introduction - Excel

Pull Data from FRED, Integrate, Unify and Prepare Data for Analysisi

Clean Data, Outliers, Mean, Median, Standard Deviations Excel - FRED

Advanced Multiple Regression on FRED DATA - Forecast

Build Model and Stress Test - FRED

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Focuses on leveraging Excel's tools and functions to solve real marketing research problems, which is highly relevant for professionals in the field

Teaches skills such as demand and sales forecasting, business formula application, and data visualization, which are useful for making data-driven decisions

Covers data collection from sources like the Census of the USA and FRED, which are trusted sources for marketing research and business decision-making

Emphasizes data cleaning techniques, including handling missing values and outliers, which are essential for accurate marketing research and data analysis

Requires the use of Excel, which may require learners to purchase a license if they do not already have access to the software

Taught by an award-winning marketing professor with teaching innovation and outstanding research awards, which may add unique perspectives and ideas

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Excel for Market Research Strategies with these activities:

Review Basic Excel Functions

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Reinforce your understanding of fundamental Excel functions to ensure a solid foundation for more advanced marketing research applications.

Browse courses on SUM

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Watch tutorials on basic Excel functions.
Practice using these functions with sample datasets.
Complete a short quiz to test your knowledge.

Review 'Excel Data Analysis For Dummies'

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Supplement your learning with a beginner-friendly guide to data analysis in Excel.

View Putting Knowledge to Work on Amazon

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Read the chapters on data cleaning and analysis.
Follow the examples provided in the book.
Practice applying the techniques to your own datasets.

Review 'Marketing Analytics: Data-Driven Techniques with Microsoft Excel'

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Deepen your understanding of marketing analytics techniques using Excel by studying a dedicated textbook.

View Marketing Analytics: Data-Driven Techniques... on Amazon

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Read the chapters relevant to the course syllabus.
Work through the examples provided in the book.
Attempt the end-of-chapter exercises.

Four other activities

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Practice Pivot Table Exercises

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Sharpen your pivot table skills through targeted exercises to efficiently summarize and analyze marketing data.

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Find datasets online suitable for pivot table analysis.
Create pivot tables to summarize and analyze the data.
Experiment with different pivot table layouts and features.

Follow Advanced Regression Tutorials

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Enhance your regression analysis skills by following advanced tutorials that cover complex modeling techniques.

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Search for tutorials on advanced regression techniques in Excel.
Follow the tutorials step-by-step.
Apply the techniques to your own datasets.

Create a Marketing Data Dashboard

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Apply your Excel skills to create a dynamic dashboard that visualizes key marketing metrics and trends.

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Identify relevant marketing data sources.
Collect and clean the data in Excel.
Create charts and graphs to visualize the data.
Design an interactive dashboard using Excel's features.

Sales Forecasting Project

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Undertake a comprehensive sales forecasting project using Excel to predict future sales trends.

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Gather historical sales data.
Apply forecasting techniques learned in the course.
Evaluate the accuracy of your forecasts.
Present your findings in a report.

Career center

Learners who complete Excel for Market Research Strategies will develop knowledge and skills that may be useful to these careers:

Marketing Data Analyst

The Marketing Data Analyst is responsible for examining marketing data to evaluate the effectiveness of marketing campaigns, as well as for identifying trends in consumer behavior and preferences. This role utilizes data to provide insights and recommendations to optimize marketing strategies. The course's emphasis on data collection, organization, and analysis using Excel makes it highly relevant for a marketing data analyst. In particular, the course covers techniques like regression analysis, moving averages, and pivot tables, which are crucial for a marketing data analyst. The ability to handle and interpret large data sets, along with the course's instruction on data cleaning and data visualization will help a marketing data analyst excel in their job. The focus on real-world data sources like the Census and FRED is also advantageous.

See salaries and explore the career path for Marketing Data Analyst

Market Research Analyst

A Market Research Analyst uses data to understand consumer behavior and market trends, providing insights that drive business strategies. This role involves collecting, analyzing, and interpreting data to assess market potential and product viability. This course focusing on Excel for Marketing Research Strategies provides crucial data analysis skills by teaching techniques such as pivot tables, regression, and error calculation as well as advanced functions like SUMIF, COUNTIF, and AVERAGEIF, all of which are frequently used by market research analysts. Gaining proficiency in these tools and methods will enable one to effectively analyze market data, forecast demand, and present findings to stakeholders. The course's exploration of real-world data sources like the Census and FRED is highly relevant to this role.

See salaries and explore the career path for Market Research Analyst

Demand Planner

Demand Planners forecast product demand to ensure that companies maintain optimal inventory levels and meet customer demands. These experts use historical data, market trends, and statistical models to predict future demand. The Excel for Marketing Research Strategies course is particularly well-suited for people in this role, because it teaches how to conduct demand forecasting using various methods, like moving averages and multiple regression models. The course also demonstrates how to collect, clean, and analyze data using Excel tools which are crucial steps in demand planning. The course’s ability to help learners analyze large sets of data, find patterns, and identify outliers will help demand planners to generate more accurate forecasts.

See salaries and explore the career path for Demand Planner

Business Intelligence Analyst

Business Intelligence Analysts interpret complex data to provide insights that guide business decisions. Their tasks include, for example, creating reports and dashboards, monitoring performance metrics, and identifying areas for improvement. This course helps build a foundation in Excel and data analysis relevant to business intelligence. A key part of this role is the ability to examine and interpret large datasets, a skill that the course teaches through its work with real data via sources like the Census and FRED. The instruction on data cleaning, summarization, and the use of pivot tables is directly applicable to the daily work of a Business Intelligence Analyst. Furthermore, the course's coverage of forecasting techniques and regression models prepares learners for predictive analysis tasks.

See salaries and explore the career path for Business Intelligence Analyst

Pricing Analyst

A Pricing Analyst develops and implements pricing strategies for products or services. They analyze market trends, costs, and competitor pricing to determine optimal pricing and maximize revenue. This role involves data collection, statistical analysis, and the use of tools like regression and forecasting models. A pricing analyst can use the Excel techniques learned in this course, including multiple regression, moving averages, and pivot tables, to analyze pricing models and test multiple scenarios. The course’s emphasis on demand forecasting and statistical analysis is particularly relevant to pricing analysis. Additionally, the course's focus on data manipulation will be helpful when generating pricing recommendations.

See salaries and explore the career path for Pricing Analyst

Sales Analyst

A Sales Analyst is responsible for examining sales data, identifying trends, and making recommendations to improve sales performance. Specifically, they analyze sales data, monitor key metrics, and create sales forecasts. This course may be useful for a sales analyst as it covers data collection and organization as well as demand and sales forecasting, using statistical tools and techniques available in Excel. The course includes data aggregation and hierarchical data preparation, along with instruction on data cleaning, which are also relevant to sales analysis. Through this course, a sales analyst will be able to use moving averages, multiple regressions, and pivot tables, all of which can be applied to forecast sales.

See salaries and explore the career path for Sales Analyst

Product Analyst

A Product Analyst examines product performance and consumer behavior to identify areas for product improvement and growth. This role involves data collection, analysis, and visualization, as well as collaboration with product teams to optimize a product's success. This course may be helpful for a product analyst by teaching key data analysis skills and statistical methods. Specifically, a product analyst can use the course's techniques in regression and multiple regression, forecasting, pivot tables, and data cleaning to better analyze large datasets of consumer behavior and feedback. The course's focus on using real data from sources like the Census and FRED is also applicable to this type of analysis.

See salaries and explore the career path for Product Analyst

Marketing Specialist

A marketing specialist assists in the development and implementation of marketing strategies and campaigns. They conduct market research and analyze data to identify opportunities and improve marketing efforts. This course may be useful for a marketing specialist, as it introduces them to the essential skills for data analysis in marketing, such as the use of pivot tables, regression, and other advanced Excel functions. By using the techniques in the course, a marketing specialist will be better able to collect and organize data, analyze it effectively, and produce data-driven insights. The course's focus on real-world data sources like the Census and FRED also provides a great advantage.

See salaries and explore the career path for Marketing Specialist

Retail Analyst

A Retail Analyst examines and interprets sales data to provide insights and recommendations for optimizing retail operations and driving sales. Their responsibilities include analyzing performance metrics, identifying sales trends, and tracking inventory. This course's emphasis on data collection and analysis techniques in Excel makes it a potentially useful tool for a retail analyst. Crucially, a retail analyst will be able to use the data organization, cleaning, and summarization techniques taught in the course to prepare their reports. The forecasting skills learned in the course may also be applied to predicting future sales trends. The course's focus on real data, like that from the Census, is also highly relevant.

See salaries and explore the career path for Retail Analyst

Financial Analyst

Financial Analysts analyze financial data, provide insights, and offer recommendations. They help businesses make informed decisions about resource allocation and investments. This course may be helpful to financial analysts because it introduces them to data manipulation and analysis using Excel. Though not solely focused on finance, a financial analyst can utilize many of the techniques in the course, such as regression analysis and forecasting, to examine financial data. Learning to use Excel's advanced statistical tools and functions, like SUMIF, COUNTIF, and AVERAGEIF, will also help a financial analyst better interpret financial data sets. Data cleaning techniques, found in the course, are crucial for preparing financial reports.

See salaries and explore the career path for Financial Analyst

Business Consultant

Business Consultants advise clients on how to improve their business operations. They often analyze data, provide market research, and develop strategies for clients to grow. This course may be useful for a Business Consultant because it provides a foundation in data analysis and marketing research using Excel. The techniques taught in the course, such as regression analysis, forecasting, and data manipulation, are all essential skills for a business consultant. The course’s instruction in understanding data from the Census and the Federal Reserve will also be useful when conducting market research for clients. Developing skills in data cleaning and organizing will enable an analyst to present clients clear, actionable insights.

See salaries and explore the career path for Business Consultant

Supply Chain Analyst

Supply Chain Analysts assess and improve supply chain operations, focusing on efficiency, cost-effectiveness, and process optimization. They work with data to identify inefficiencies and propose improvements to streamline supply chain operations. This course may be useful to a supply chain analyst because of the data handling and analysis skills that can be applied to improving a supply chain management process. For instance, the course's use of pivot tables, regression, and forecasting tools will allow a supply chain analyst to better analyze inventory levels, logistics, and other supply chain metrics. Moreover, the focus on real data from sources like FRED can help an analyst better understand economic factors influencing supply chains.

See salaries and explore the career path for Supply Chain Analyst

Operations Analyst

An Operations Analyst examines and interprets data related to business operations, looking to improve efficiency and productivity. They are involved in process improvements, performance tracking, and resource allocation. This course may be useful for an operations analyst by providing them with essential Excel skills. An operations analyst needs to be able to use techniques like pivot tables and regression analysis; this course prepares learners to use these methods. The course also teaches how to organize and clean data, a crucial step when preparing reports, and the inclusion of forecasting will help predict operational trends. The course's application of Excel to real-world data can help an operations analyst use data to optimize business operations.

See salaries and explore the career path for Operations Analyst

Project Manager

Project Managers oversee the planning, execution, and completion of specific projects. They may require some data analysis skills to understand project metrics and progress. This course may be useful to project managers by teaching them some fundamentals of data analysis using Excel. Project managers would benefit from the data cleaning skills and the ability to use techniques such as pivot tables and regression, introduced in the course. The course's inclusion of descriptive statistics may also help a project manager track project performance and identify areas for improvement. The forecasting and scenario analysis taught in the course will be useful when estimating project timelines.

See salaries and explore the career path for Project Manager

Data Visualization Specialist

Data Visualization Specialists translate complex data sets into understandable visual formats such as charts, graphs, and dashboards. They use these visualizations to help stakeholders uncover trends and insights from data. This course may be helpful for a Data Visualization Specialist because it touches on data visualization techniques. This course teaches how to uncover trends and patterns via data visualizations. The skills learned in this course are crucial for a data visualization specialist, as the course teaches the use of charts and graphs as a way to communicate information. The course also introduces data cleaning techniques, which are important for data integrity.

See salaries and explore the career path for Data Visualization Specialist

Excel for Market Research Strategies

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