Executive Development Program in Market Research & Data Analytics

Program Overview:
The Executive Development Program in Market Research & Data Analytics is a comprehensive 16-week course designed for senior executives and managers seeking to enhance their skills in market research and data analytics. The program provides a deep dive into key concepts, tools, and techniques used in market research and data analytics, with a focus on practical applications and real-world case studies.

Program Objectives:

Develop a thorough understanding of market research methodologies and data analytics techniques.
Gain expertise in collecting, analyzing, and interpreting data to make informed business decisions.
Learn how to apply market research and data analytics to develop effective marketing strategies and drive business growth.
Develop the skills to lead and manage market research and data analytics projects within the organization.
Program Structure:
The program is divided into 16 modules, each focusing on a specific aspect of market research and data analytics. Participants will engage in a mix of lectures, case studies, group discussions, and hands-on exercises to reinforce learning and facilitate practical application.

Module 1: Introduction to Market Research

Overview of market research principles and methodologies
Types of market research (qualitative vs. quantitative, primary vs. secondary)
Ethical considerations in market research
Module 2: Research Design and Methodology

Developing a research plan and objectives
Sampling techniques and sample size determination
Questionnaire design and data collection methods
Module 3: Data Collection and Analysis

Data collection methods (surveys, interviews, focus groups)
Data cleaning and validation
Basic data analysis techniques (descriptive statistics, cross-tabulation)
Module 4: Introduction to Data Analytics

Overview of data analytics and its applications
Types of data analytics (descriptive, diagnostic, predictive, prescriptive)
Data analytics tools and technologies
Module 5: Data Visualization

Importance of data visualization in data analytics
Best practices for data visualization
Using data visualization tools (e.g., Tableau, Power BI)
Module 6: Statistical Analysis for Market Research

Statistical techniques for market research (correlation, regression, ANOVA)
Hypothesis testing and confidence intervals
Interpreting statistical results for business decisions
Module 7: Customer Segmentation and Profiling

Segmenting customers based on demographic, psychographic, and behavioral factors
Developing customer profiles and personas
Targeting and positioning strategies based on customer segments
Module 8: Brand Perception and Positioning

Measuring brand perception through market research
Brand positioning strategies
Using market research to enhance brand equity
Module 9: Competitive Analysis

Conducting competitive analysis through market research
Benchmarking against competitors
Identifying competitive strengths and weaknesses
Module 10: Marketing Mix Modeling

Understanding the 4Ps of marketing (product, price, place, promotion)
Using market research and data analytics to optimize the marketing mix
Developing and evaluating marketing strategies
Module 11: Consumer Behavior Analysis

Understanding consumer decision-making processes
Using data analytics to analyze consumer behavior
Predicting consumer behavior and trends
Module 12: Market Forecasting and Trend Analysis

Forecasting methods for market trends
Time series analysis and forecasting models
Using data analytics to identify and capitalize on market trends
Module 13: Social Media Analytics

Analyzing social media data for market insights
Social media monitoring and sentiment analysis
Leveraging social media analytics for marketing campaigns
Module 14: Big Data and Market Research

Introduction to big data and its impact on market research
Challenges and opportunities of using big data in market research
Big data analytics tools and techniques
Module 15: Data Privacy and Security in Market Research

Privacy laws and regulations (e.g., GDPR, CCPA) related to market research
Best practices for ensuring data privacy and security in market research
Ethical considerations in data collection and analysis
Module 16: Capstone Project

Apply concepts learned throughout the program to a real-world market research and data analytics project
Develop and present a comprehensive market research report to stakeholders
Program Delivery:
The program will be delivered through a combination of online lectures, virtual workshops, and self-paced learning modules. Participants will have access to a dedicated online platform where they can interact with instructors and peers, access course materials, and complete assignments.

Program Faculty:
The program will be taught by experienced faculty members with expertise in market research and data analytics. Guest speakers from industry may also be invited to share their insights and experiences with the participants.

Certification:
Participants who successfully complete the program will receive a certificate of completion from us.

Next Steps:

To apply for the program please register via making a payment, our representative will get in touch with you to confirm & the way forward. Alternatively you can get in touch with us via  contact-us form/email/phone/call-back request option.

Incase of any further details please feel free to get in touch with us & we would be happy to help!.