Professional Certificate Course in
Marketing Analytics Training
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Interactive Online Sessions
- 20 Hours of Free Python Programming Videos
- Job Placement Assistance
532 Reviews
2834 Learners
Academic Partners & International Accreditations
"Indian marketing analytics companies have received $ 720 million in funding to date." - (Source Express Computer). Marketing analytics has made it possible for businesses to make smarter decisions, avoid issues in advance, and boost the ROI of marketing strategies. The Indian Marketing Analytics industry is expected to reach $1.4 billion in 2024. Companies are using marketing analytics to gain a competitive edge over their rivals. India is tipped to lead the race in Marketing Analytics. India has an abundant supply of cost-effective analytics talent that is capable of great performance if well trained. The emergence of digital media has changed the way products are being sold. To remain competitive companies need to design products with distinct intellectual property rights.
Marketing Analytics Training Overview
This Marketing Analytics course will help in turbocharging the market analysis process using Data Analytics techniques. Marketing professionals want to understand and 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 speed and performance including real-time experimentation. Understanding the STP framework and marketing the product using real-time analytics is at the core of this Marketing Analytics program from the best Marketing Analytics training institute.
What is Marketing Analytics?
Marketing Analytics is used to evaluate the success of a company's marketing activities. Marketing analysts have evolved metrics like ROI, Marketing attribution to express how effective a marketing campaign is. With the Digital Transformation revolution and the Internet explosion, most companies are using digital platforms to market their products and services. It becomes important to track the effectiveness of the promotional campaign and retain customers.
Marketing Analytics is segregated into Sentiment Analytics, Speech Analytics, Campaign Analytics, Web Analytics, Social Media Analytics, Comprehensive Marketing Management, and Customer Lifecycle Management.
Sentiment Analytics identifies customer sentiments towards brands in online conversations and feedback. The emotions of the customer in Text data are tracked using Text analysis techniques. Campaign analytics assesses the performance ( ROI) of promotional campaigns through email or social media. Web Analytics tracks the information on the number of visitors to a website or number of page views to gauge the effectiveness of a promotional campaign. Customer Lifecycle Management uses metrics at each stage of the customer life cycle. The customer life cycle is the journey of the customer through the sales and marketing funnel. This gives inputs on retaining and encircling the customer.
Marketing Analytics Course Outcomes
In this Marketing Analytics course, students will comprehend the concepts of segmenting, targeting, positioning, and their relevance to the brand-building effort. The use of the linear programming method Data Envelopment Analysis to analyze the efficiency of Internet Marketing Strategy is highlighted in this course. The statistical technique of Stochastic Frontier Analysis is also discussed in this course along with Stochastic Frontier Analysis which is used to measure the performance of marketing campaigns. Marketing analysts need to be experts in devising a pricing strategy that will generate profits and with this course students will use the concepts of positioning, Perceptual Maps, Preference Maps, and calculate metrics like Customer Lifetime value to improve the service delivery and efficacy of their marketing effort. Marketing professionals will learn to enhance customer value using Value Extraction methods. Participants will fully appreciate how Machine Learning and Artificial Intelligence are transforming the marketing industry. The nitty-gritty of forecasting especially demand to forecast using customer-based models and statistical approaches are elaborated.
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Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Marketing Managers
- Math, Science and Commerce Graduates
Marketing Analytics Course Modules
The preliminary modules bear an introduction to the domain of marketing analytics- its scope and applications. A primer on segmentation approaches, targeting strategies, and positioning is available for novices to marketing. It projects a summary of all the brands of a company and their relative positioning. The concepts and the methodology of perception mapping and product positioning with the same is the prime focus of the succeeding module. Similarly, preference mapping which is used to identify consumer preference positioning for various brands is elaborated from a marketing analytics perspective. The use of conjoint analysis to modify product design and guarantee a better value proposition for the customer is also studied. The nuances of tweaking product design to deliver a better value proposition to the customer are explored. The importance of enhancing value extraction which is the maximum rupee value that you can extract from existing and potential customers is underscored in a separate module. The use of decision calculus to optimize value extracted is discussed at great length. The concluding module of the course deals with the concept and calculation of Customer Lifetime Value.
Tools Covered
Trends in Marketing Analytics Course
There are a total of 400 marketing analytics firms in India. Of this 26% of the companies have specialized in marketing analytics. This segment which comprises start-ups has seen USD $172 million in funding. The trends to look out for in the field of marketing analytics are the advances in AI that have covered every avenue including marketing. One of the recent trends in this field has been the use of machine learning operations like predictive analytics. With predictive analytics, businesses can measure marketing activities and trace the trends and opportunities flourishing in the market. The other trend to take over will be the optimization of customer's experience and providing them with an enjoyable, blended brand adventure will be the most important element to the success of any business of 2024.
A total of 100 firms dot the marketing analytics landscape today in India. These companies specialize in Campaign Analytics-28%, Social Media Analytics -25%, Comprehensive Marketing - 20%, Customer Life Cycle Marketing -11%, Web Analytics - 7%, Sentiment Analytics- 7%, and Speech Analytics - 5%. Marketing is evolving quickly and conveying that we need to adapt quickly enough. Measuring, analyzing, and predicting will be in the frontlines of marketing plans in 2024 along with implementing strict policies and cybersecurity tools for data protection.
How we prepare you
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Additional Assignments of over 60+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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Lifetime LMS Access
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24/7 Support
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Job Placements in Marketing Analytics Fields
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Complimentary Courses
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Unlimited Mock Interview and Quiz Session
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Hands-on Experience in Live Projects
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Offline Hiring Events
Call us Today!
+60 19-383 1378Marketing Analytics Training Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ years across several industry domains
- Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
- Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Certificate
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Marketing Certificate is your passport to an accelerated career path.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
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FAQs for Marketing Analytics Course
This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in marketing, SQL and Programming languages such as Python and R.
We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.
With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.
360DigiTMG provides internship opportunities through Innodatatics, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.
There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.
We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.
After you have completed the Online sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
You will be attending 40 hours of virtual instructor-led sessions. After completion, you will have access to the Learning Management System for three months for recorded videos and assignments. Also you will have to spend another month after the Online sessions to complete the live project.
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
This course is specifically catered to learners intending to either begin or advance their careers in marketing.
No, the cost of the certificate is included in the programme package.
Jobs in the field of Marketing Analytics
Typical job roles in the field of marketing analytics are Marketing Automation Specialist, Digital Marketing Analytics lead, and marketing analyst. Major employers are MineWhat, Profundis, Ozonetel, Uniphore, Optima, Digitant, Statlabs, Vizury, and Auctus.
Salaries for Marketing Analytics Professionals
The role of a Marketing Analyst is to provide insight into the various products and services of a business. In India, the Average Salary of a Marketing Analytics professional is Rs. 8 to 10 Lakhs per annum.
Marketing Analytics Projects in India
This sector has seen more than US $720 million venture capital spending. The bulk of the projects are in Campaign Analytics, Social Media Analytics, Comprehensive Marketing, Customer Life Cycle Marketing, Web Analytics, Sentiment Analytics, Speech Analytics.
Role of Open Source Tools in Marketing Analytics
It is possible to build an entire marketing stack with the help of open-source tools in marketing analytics. Popular tools are Piwik, OpenOffice, NextCloud, Mail-in-a-Box, HackMD, R, and Wordpress.
Modes of Training for Marketing Analytics Course
The course in Hyderabad is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of online learning. We also support e-learning as part of our curriculum.
Industry Application of Marketing Analytics
Marketing Analytics is a very flexible discipline that can be applied to brands across several industries. We can track the success of marketing campaigns and brand building in FMCG, Retail, Engineering, Construction, Telecommunications, Electronics, and Computer Hardware sales.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sharvin Rao
2 years agoVery good exposure. Satisfied with this program. Teaching materials are complete and does not require any programming background to learn this course
Priya Gopal
2 years agoVery experienced trainer and have patience to deal with every query raised in the classroom.
Lavaniya Rajesveran
2 years agoGreat place to learn about Data Science . Trainers are knowlegable and shared lots of new terms which was easily understandable.
Nivethitha Sivaraj
2 years agoThe course I selected was Data science using Python and R. Beginning it feels quite easy but days pass by we can feel the depth of the subject. Trainers doing their awesome job. I would seriously recommend for the people who are looking for a career uplift and even for freshers. Apart from trainers it’s our job to practice and practice to make it more perfect.
Gaurav Joshi
3 years agoData Science is aptly designed to cover most of the aspects of Data Science using R and Python. Anyone who is unsure of how to step in and explore the world of Data Science should join this course. Kudos to 360DigiTMG team to come up with such an elaborated program and helping students to put a confident foot forward in Data Science space.
Anita Nook Naidu
3 years agoVery good lecturers. Good training. Plenty of guidance provided. worth the money.
