Принятие решений в маркетинге на основе анализа данных from Coursera

Если Вы чувствуете, что отстаете в карьерном росте, или хотите резко вырваться вперед – то этот курс для Вас. Он не требует знания математики или языков программирования. На реальных бизнес-примерах с использованием no-code программ, мы разберем все шаги по внедрению процессов по анализу данных в маркетинге. Обсудим типовые ошибки и заблуждения. Вместе с преподавателем решим несколько реальных кейсов и увидим, как искажают результаты плохие данные. Разберемся, как анализировать качество данных и как визуализировать собственные маркетинговые находки, сделанные с помощью анализа данных. Этот курс для тех, кто хочет получить максимум из анализа данных в маркетинге . Курс рассчитан на специалистов в маркетинге разного уровня, от начального до уверенных профессионалов, и дает реальные инструменты для анализа данных в решении Ваших задач. Создан с учетом реализованных нами проектов по цифровой трансформации и внедрению BI в компаниях разных отраслей. После курса Вы сможете: - ставить вопросы так, чтобы анализировать то, что реально нужно бизнесу, - понимать какие метрики и данные надо собирать, чтобы управлять маркетинговыми задачами более эффективно, - оценивать реальные трудозатраты на анализ данных с помощью внедренных в вашей компании BI систем, - использовать множество лайфхаков, позволяющих быстро анализировать качество данных, - уверенно использовать методологию SCQA и принцип MECE (ВИСИ) для анализа данных, а так же основные техники визуализации маркетинговой информации на практике, - создавать и анализировать проекты в PowerBI. В конце курса Вы разберете реальный кейс и, используя уже полученные знания, проанализируете базу данных ресторанов мегаполиса для того, чтобы выбрать оптимальное расположение для нового ресторана в мегаполисе. Выбор кухни для ресторана остается на ваше усмотрение и должен быть основан на анализе данных. Ваш выбор должен быть подкреплен данными из набора данных, который подготовите сами. После прохождения курса у Вас останутся разобранные реальные кейсы, которые можно прикрепить к резюме или использовать в Вашей работе. Длительность курса 6-8 недель. Из них не менее двух недель уйдет на выполнение итогового проекта.

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Suitable for marketers at various experience levels, helping them enhance data-driven decision-making

Provides practical techniques and tools for analyzing marketing data and solving real-world problems

Emphasizes understanding the right questions to ask, ensuring data analysis aligns with business objectives

Led by experienced instructors with strong industry expertise in digital transformation and business intelligence

Offers hands-on project work and real-world case studies for practical application of concepts

May require additional data analysis tools or software, which could incur costs

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 Принятие решений в маркетинге на основе анализа данных with these activities:

Connect with Marketing Professionals

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Seek guidance and support from experienced marketing professionals to accelerate learning and career growth.

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Attend industry events and conferences to connect with professionals.
Reach out to professionals via LinkedIn or email to request mentorship.

Review Marketing Fundamentals

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Review foundational marketing concepts to ensure a strong understanding before starting the course.

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Read textbook chapters on marketing concepts, principles, and strategies.
Review online resources and articles on marketing fundamentals.
Complete practice questions or quizzes to test understanding.

Develop a Marketing Data Analysis Plan

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Create a comprehensive plan for analyzing marketing data to improve your understanding of how to collect, analyze, and interpret data

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Define the goals and objectives of the data analysis.
Identify the relevant data sources.
Determine the appropriate data analysis techniques.
Develop a plan for presenting and communicating the results.

Seven other activities

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Analyze Real-World Marketing Campaigns Using PowerBI

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Apply course concepts by analyzing actual marketing campaigns with PowerBI, enhancing data analysis skills.

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Gather data from marketing campaigns, such as website traffic, social media engagement, and sales figures.
Import data into PowerBI and create visualizations to analyze trends and patterns.
Identify insights and draw conclusions based on the data analysis.

Analyze Real-World Marketing Data

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Practice analyzing real-world marketing data to improve your skills and understanding of data analysis techniques.

Browse courses on Data Analysis

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Gather a dataset of marketing data.
Clean and prepare the data for analysis.
Identify key metrics and variables to analyze.
Perform data analysis using appropriate statistical techniques.
Draw insights and conclusions from the analysis.

Collaborate on Marketing Case Studies

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Engage with peers to discuss marketing case studies, exchange insights, and enhance critical thinking skills.

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Join a study group or online forum for the course.
Select a marketing case study to analyze and present.
Collaborate with peers to develop insights and recommendations.

Explore Advanced Data Analysis Techniques

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Explore advanced data analysis techniques, such as machine learning and predictive analytics, to enhance your understanding of how to extract valuable insights from data.

Browse courses on Advanced Data Analysis

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Identify the need for advanced data analysis techniques.
Research and select appropriate techniques.
Apply the techniques to real-world marketing data.
Evaluate the results and make recommendations.

Explore Advanced Data Analysis Techniques

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Expand knowledge beyond course material by exploring advanced data analysis techniques, enhancing analytical capabilities.

Browse courses on Advanced Data Analysis

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Identify online tutorials or courses on advanced data analysis techniques.
Follow tutorials, complete exercises, and apply techniques to real-world marketing scenarios.

Contribute to Open Source Marketing Tools

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Gain practical experience and support the marketing community by contributing to open source marketing tools.

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Identify open source marketing tools that align with interests.
Join the project community and explore contribution opportunities.
Make code contributions, report bugs, or participate in discussions.

Develop a Marketing Analytics Plan

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Apply course learnings to create a comprehensive marketing analytics plan, integrating data analysis and strategic decision-making.

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Define marketing objectives and key performance indicators (KPIs).
Develop a data collection strategy to gather relevant marketing data.
Analyze data, identify trends, and make recommendations for marketing optimizations.

Career center

Learners who complete Принятие решений в маркетинге на основе анализа данных will develop knowledge and skills that may be useful to these careers:

Marketing Manager

Marketing Managers oversee the development and execution of marketing campaigns. They use their knowledge of marketing principles and data analysis to create and implement marketing strategies that reach target audiences and achieve business objectives. The course "Decision Making in Marketing Based on Data Analysis" is an excellent choice for someone who wants to become a Marketing Manager. It will provide them with the skills and knowledge needed to make data-driven decisions and create effective marketing campaigns.

See salaries and explore the career path for Marketing Manager

Product Manager

Product Managers are responsible for the development and management of products. They work with cross-functional teams to define product requirements, prioritize features, and launch new products. Product Managers use data analysis to understand customer needs and make decisions about product development.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts use data analysis to identify and solve business problems. They work with stakeholders to understand business needs and develop data-driven solutions. The course "Decision Making in Marketing Based on Data Analysis" may be helpful for someone who wants to become a Business Analyst, as it will provide them with the skills needed to analyze data and solve business problems.

See salaries and explore the career path for Business Analyst

Market Research Analyst

Market Research Analysts use data analysis to understand customer needs and trends. They conduct surveys, focus groups, and other research activities to collect and analyze data. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Market Research Analyst, as it will provide them with the skills needed to analyze data and understand customer needs.

See salaries and explore the career path for Market Research Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with data analysts and other data professionals to develop software applications that can be used to analyze data. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Software Engineer, as it will provide them with the skills needed to design, develop, and maintain software applications.

See salaries and explore the career path for Software Engineer

Management Consultant

Management Consultants use data analysis to help businesses solve problems and improve performance. They work with businesses to identify opportunities, develop strategies, and implement solutions. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Management Consultant, as it will provide them with the skills needed to analyze data and solve business problems.

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Financial Analyst

Financial Analysts use data analysis to make investment decisions. They analyze financial data to identify trends and opportunities. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Financial Analyst, as it will provide them with the skills needed to analyze data and make investment decisions.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts use data analysis to identify and assess risks. They work with businesses to develop and implement risk management strategies. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Risk Analyst, as it will provide them with the skills needed to analyze data and identify risks.

See salaries and explore the career path for Risk Analyst

Data Engineer

Data Engineers design, build, and maintain data systems. They work with data scientists and other data professionals to ensure that data is available and usable for analysis. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Data Engineer, as it will provide them with the skills needed to design, build, and maintain data systems.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use data analysis to develop mathematical models for financial trading. They use their skills in data analysis to identify trading opportunities and make investment decisions. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Quantitative Analyst, as it will provide them with the skills needed to analyze data and develop mathematical models.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use data analysis to assess and manage financial risks. They work with insurance companies, pension funds, and other financial institutions to develop and implement risk management strategies. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become an Actuary, as it will provide them with the skills needed to analyze data and assess risks.

See salaries and explore the career path for Actuary

Data Analyst

Data Analysts use their skills in data analysis to analyze raw data and make it more useful. They can work in fields such as business, marketing, or finance, helping companies make decisions based on data to improve their operations or marketing campaigns. Taking the course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Data Analyst, as it will provide them with the skills needed to analyze data and make informed decisions.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their skills in data analysis to extract insights from data. They work on projects such as predictive modeling, machine learning, and data visualization. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Data Scientist, as it will provide them with the skills needed to analyze data and extract insights.

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Operations Research Analyst

Operations Research Analysts use data analysis to improve business operations. They work with businesses to develop and implement operations research models to optimize processes and improve efficiency. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become an Operations Research Analyst, as it will provide them with the skills needed to analyze data and develop operations research models.

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Data Architect

Data Architects design and manage data architectures. They work with data analysts and other data professionals to ensure that data is stored and managed in a way that meets the needs of the business. The course "Decision Making in Marketing Based on Data Analysis" may be useful for someone who wants to become a Data Architect, as it will provide them with the skills needed to design and manage data architectures.

See salaries and explore the career path for Data Architect

Принятие решений в маркетинге на основе анализа данных

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