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Игорь Балк, Арина Богомолова, and Александр Цеханский
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...
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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

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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
Seek guidance and support from experienced marketing professionals to accelerate learning and career growth.
Browse courses on Mentoring
Show steps
  • Attend industry events and conferences to connect with professionals.
  • Reach out to professionals via LinkedIn or email to request mentorship.
Review Marketing Fundamentals
Review foundational marketing concepts to ensure a strong understanding before starting the course.
Browse courses on Marketing Fundamentals
Show steps
  • 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
Create a comprehensive plan for analyzing marketing data to improve your understanding of how to collect, analyze, and interpret data
Show steps
  • 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
Apply course concepts by analyzing actual marketing campaigns with PowerBI, enhancing data analysis skills.
Show steps
  • 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
Practice analyzing real-world marketing data to improve your skills and understanding of data analysis techniques.
Browse courses on Data Analysis
Show steps
  • 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
Engage with peers to discuss marketing case studies, exchange insights, and enhance critical thinking skills.
Browse courses on Marketing Case Studies
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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
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
Show steps
  • 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
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
Gain practical experience and support the marketing community by contributing to open source marketing tools.
Browse courses on Community Involvement
Show steps
  • 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
Apply course learnings to create a comprehensive marketing analytics plan, integrating data analysis and strategic decision-making.
Browse courses on Marketing Measurement
Show steps
  • 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Принятие решений в маркетинге на основе анализа данных.
Provides a comprehensive overview of marketing analytics techniques and how to apply them using Microsoft Excel. It covers topics such as data collection, data analysis, and data visualization, and it includes numerous examples and case studies to illustrate the concepts.
Provides a practical guide to using data analytics to improve marketing campaigns. It covers topics such as data mining, data visualization, and predictive modeling, and it includes numerous examples and case studies to illustrate the concepts.
Provides a comprehensive overview of marketing data science techniques and how to apply them using SAS. It covers topics such as data management, data mining, and data visualization, and it includes numerous examples and case studies to illustrate the concepts.
Provides a comprehensive overview of marketing analytics techniques and how to use them to drive marketing strategy. It covers topics such as data collection, data analysis, and data visualization, and it includes numerous examples and case studies to illustrate the concepts.
Provides a comprehensive overview of marketing research techniques and how to use them to improve marketing campaigns. It covers topics such as data collection, data analysis, and data visualization, and it includes numerous examples and case studies to illustrate the concepts.
Provides a comprehensive overview of marketing management techniques and how to use them to improve marketing campaigns. It covers topics such as data collection, data analysis, and data visualization, and it includes numerous examples and case studies to illustrate the concepts.

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