Market Research & Analysis

[mitsumi]

Market Research & Analysis

Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 668.03 MB | Duration: 2h 24m

Entrepreneurial Series Part 2: Mastering Data-Driven Decisions

What you'll learn
Conduct in-depth market analysis using both qualitative and quantitative data.
Identify emerging market trends and niche opportunities for growth.
Leverage big data and social media analytics for consumer behavior insights.
Develop effective competitive analysis strategies and strategic market positioning.
Apply predictive analysis techniques to forecast market trends.
Understand the ethics and best practices in market research.
Requirements
No formal prerequisites are required, but a basic understanding of business or marketing concepts is helpful. Beginners with an interest in data-driven decision-making and professionals who want to deepen their market analysis skills will find this course highly accessible.
Description
Market Research and Analysis: Mastering Data-Driven Decisions is the essential course for professionals and entrepreneurs who want to stay competitive in today's fast-paced, data-driven world. This course is the second instalment in the Entrepreneurial Skills series and is designed to help you grasp the essential concepts and tools for effective market analysis. Whether you're trying to predict the next big market trend or gain deeper insights into consumer behaviour, this course will equip you with the knowledge and strategies necessary to succeed.In this course, you'll learn how to perform in-depth market analysis using both qualitative and quantitative data. You'll understand how to leverage social media analytics to gain real-time insights into customer preferences and predict market trends using advanced data analysis techniques. Moreover, you'll explore ethical practices in market research and discover how to use competitive analysis to strategically position your business in the marketplace.Through case studies, real-world examples, and practical applications, you will learn how to turn data into actionable insights, helping you make informed decisions to drive growth.What is primarily taught in this course?Techniques for conducting thorough market analysis.Utilising big data and predictive analytics in market research.Consumer behaviour analysis through social media and other digital platforms.Competitive analysis and strategic positioning.Trend forecasting and identifying emerging markets.By the end of the course, you will have the confidence to conduct professional market research and apply your findings to create effective marketing strategies and business plans.
Overview
Section 1: Course introduction
Lecture 1 Course introduction
Section 2: Section 1 - Techniques for in-depth market analysis
Lecture 2 Section 1 introduction - Techniques for in-depth market analysis
Lecture 3 Lesson 1.1 - Introduction to in-depth market
Lecture 4 Lesson 1.2 - Analytical frameworks and models
Lecture 5 Lesson 1.3 - Key techniques for market
Lecture 6 Section 1 conclusion
Section 3: Section 2 - Identifying emerging trends and niche markets
Lecture 7 Section 2 introduction - Identifying emerging trends and niche markets
Lecture 8 Lesson 2.1 - Introduction to emerging trends
Lecture 9 Lesson 2.2 - Strategies for identifying niche markets
Lecture 10 Lesson 2.3 - Tools and resources for trend analysis
Lecture 11 Section 2 conclusion
Section 4: Section 3 - Utilising big data in market research
Lecture 12 Section 3 introduction - Utilising big data in market research
Lecture 13 Lesson 3.1 - The role of big data in market analysis
Lecture 14 Lesson 3.2 - Techniques for collecting and analysing big data
Lecture 15 Lesson 3.3 - Real-world applications of big data in market research
Lecture 16 Section 3 conclusion
Section 5: Section 4 - Consumer behaviour analysis
Lecture 17 Section 4 introduction - Consumer behaviour analysis
Lecture 18 Lesson 4.1 - Understanding consumer psychology
Lecture 19 Lesson 4.2 - Methods for analysing consumer behaviour
Lecture 20 Lesson 4.3 - Applying behaviour analysis to market strategies
Lecture 21 Section 4 conclusion
Section 6: Section 5 - Competitive analysis and strategic positioning
Lecture 22 Section 5 introduction - Competitive analysis and strategic positioning
Lecture 23 Lesson 5.1 - Conducting a competitive analysis
Lecture 24 Lesson 5.2 - Identifying competitive advantages
Lecture 25 Lesson 5.3 - Case studies on market positioning
Lecture 26 Section 5 conclusion
Section 7: Section 6 - Integrating social media analytics into market research
Lecture 27 Section 6 introduction - Integrating social media analytics into market research
Lecture 28 Lesson 6.1 - The power of social media in market research
Lecture 29 Lesson 6.2 - Analysing social media data for market insights
Lecture 30 Lesson 6.3 - Case Studies on social media analytics in action
Lecture 31 Section 6 conclusion
Section 8: Section 7 - Forecasting and predictive analysis in market research
Lecture 32 Section 7 introduction - Forecasting and predictive analysis in market research
Lecture 33 Lesson 7.1 - Introduction to forecasting models
Lecture 34 Lesson 7.2 - Techniques for predictive analysis
Lecture 35 Lesson 7.3 - Applying predictive analysis in market research
Lecture 36 Section 7 conclusion
Section 9: Section 8 - Developing and implementing effective survey strategies
Lecture 37 Section 8 introduction - Developing and implementing effective survey strategies
Lecture 38 Lesson 8.1 - Crafting effective surveys
Lecture 39 Lesson 8.2 - Best practices for survey implementation
Lecture 40 Lesson 8.3 - Analysing survey data
Lecture 41 Section 8 conclusion
Section 10: Section 9 - Ethics and best practices in market research
Lecture 42 Section 9 introduction - Ethics and best practices in market research
Lecture 43 Lesson 9.1 - Ethical considerations in market research
Lecture 44 Lesson 9.2 - Ensuring data privacy and consent
Lecture 45 Lesson 9.3 - Establishing best practices
Lecture 46 Section 9 conclusion
Section 11: Course conclusion.
Lecture 47 Course conclusion
Aspiring entrepreneurs who need to understand their market before launching a product.,Marketing professionals who want to improve their data analysis skills.,Business owners seeking to stay competitive by understanding emerging trends.,Data enthusiasts and professionals interested in utilising big data for market insights.

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