Certificate Program in
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 24+ Hours of Practical Assignments
- 2 Capstone Live Projects
- 100% Job Placement Assistance
Marketing Analytics Programme Overview
Marketing professionals want to discern and if possible, forecast how consumers buy products and/or services. Data Science and Artificial Intelligence when paired with cloud-based computing can help marketers micro-target and micro-segment their consumer base with the speed and performance including real-time experimentation. Pwc and Business-Higher Education Forum (BHEF) published a study that says 69% of employers prefer to hire candidates with highly specific data science skills.
Marketing Analytics Learning Outcomes
Marketing Analytics has a bright future in Malaysia. A Market Analyst supports industries to gain beneficial insights for their products and services. A Market Analyst should be able to analyze from the available data and prepare a plan which has multiple potential solutions for the clients. This will help companies to build marketing strategies for products specific to certain demographics. This will further help companies to know their targeted customers, gain a competitive edge, be efficient and productive. By Marketing Analytics certification program students/ professionals will learn marketing domains, understand the importance of segmentation and Targeting. Learn Customer Lifetime value calculation and its applications. Able to perform forecasting using customer base models and statistical analysis. As per client requirements, the students will be able to design effective marketing plans that deliver profits and be competitive ahead.
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Who Should Sign Up?
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- HR Managers
- Math, Science and Commerce Graduates
Marketing Analytics Course Modules
Marketing Analysts professionals are expected to have sound knowledge in business intelligence, marketing, and necessary software skills. The Marketing Analytics course modules start with the introduction of the domain of marketing analytics, its importance, and applications. Students will learn about segmentation approaches and targeting strategies. Learn about novices in marketing and implementation. Understand the major concepts of perception mapping, product positioning, and preference mapping. Preference mapping which is used to identify consumer preference positioning for different brands will be explained from a marketing analytics perspective. Learn about the advantages of conjoint analysis in modifying the product design that enables profits to the customer. Students will further explore the nuances of tweaking product design to deliver a better value proposition to the customer. Decision calculus to optimize value extracted is explained with real-time cases. Understand the importance of enhancing value extraction which is the maximum rupee value that you can extract from existing and potential customers. Apart from this, students will learn the concepts and calculations of Customer Lifetime Value.
Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.
Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples
Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.
Marketing Analytics Trends in Malaysia
Analytics and AI are emerging enormously and will be a game-changer. This will bring a difference in cost efficiency and revenue stimulation initiatives. Marketing Analytics will create a wave in the telecommunications industry, as it delivers services to millions of customers and generates massive amounts of data. Marketing Analytics also helps the advertising industry by optimizing online and offline ad services. Another trend of Marketing Analytics will be in Robotics, merging with AI technology will produce substantial revenues. AI chatbots, video bots will play an essential role to bring immense scalability at a very low cost. Marketing Analytics helps to improve customer experience by generating customer behavior data. By this data, companies can modify their products as per the customer’s interest, this will grow the business further. Analytics will improve digitally transformed companies by providing accurate data and analytics. It collects data from the traffic visiting the website and analyzes and produces the results. Marketing dashboards are in boom; they help to deliver customized services to the clients. Machine learning applications such as predictive analysis helps businesses to predict the market trends and plan marketing strategies to develop business in this data-driven environment.
How We Prepare You
Additional Assignments of over 60+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
6 Months LMS Access
Job Placements in Marketing Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Life Time Free Access to Industry Webinars
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