Marketing Research Data Analytics
Unlock the power of data in digital marketing with our comprehensive Marketing Research Data Analytics course. Learn from experts how to collect customer data, analyze it using R and Hadoop technologies, perform OLAP & OLTP operations with RHBase/RHive, and visually represent insights.
- Available in:
- Malaysia

Training Provider Pricing
Pax:
Features
Subsidies

What you'll learn
- Create sophisticated visualizations such as histograms and maps to illustrate findings
- Perform advanced operations on R-Hadoop using RHBase Shell commands
- Learn effective techniques for collecting and analyzing customer data
- Master the fundamentals of describing and simulating various types of data
- Conduct Twitter Sentiment Analysis through Hadoop Streaming
- Understand the latest digital marketing industry approaches
- Develop proficiency in R programming for data manipulation and visualization
- Gain hands-on experience with Hadoop ecosystem tools like RHadoop packages and Hadoop streaming
Why should you attend?
This course offers a deep dive into the intersection of marketing research and data analytics, specifically tailored for professionals looking to harness digital marketing and online advertising strategies. The curriculum begins with an exploration of industry best practices and methods for collecting customer data. As the course progresses, learners will gain a robust understanding of data analysis fundamentals, including the ability to describe and simulate data, differentiate between discrete and continuous variables, and group descriptive analytics. The technical skills segment introduces participants to R programming, covering its basic objects, data frames, and essential functions for loading, saving, and visualizing data. Advancing into big data technologies, the course provides hands-on experience with Hadoop and R-Hadoop ecosystems—highlighting RHadoop packages, streaming, RHipe usage, as well as data retrieval and storage on RHDFS. Furthermore, learners will explore OLAP & OLTP operations using RHBase and RHive and execute Map-Reduce jobs efficiently. Finally, the program culminates in mastering advanced visualization techniques such as histograms, boxplots, QQ plots, cumulative distributions, and maps to effectively communicate insights drawn from complex datasets.
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Ratings and Reviews
Instructor
Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of extensive experience in the IT and business sectors, having worked across multiple continents including the US, Europe, Asia, South America, and the Middle East. His expertise spans a wide array of domains such as Agile methodologies (Scrum, SAFe, Kanban), enterprise architecture frameworks like TOGAF and COBIT, IT service management standards including ITIL and ISO27001, as well as cybersecurity certifications like CISO and CISSP. Tarun's proficiency extends to project management frameworks such as PRINCE2 and PMP, along with cutting-edge technologies in Big Data analytics using Hadoop and Spark, data science with Python or R, and data visualization tools like Tableau. Tarun has held numerous senior development and executive roles including CIO/CTO positions where he managed large-scale IT operations for multinational corporations such as Dell, AMD, and Experian. His leadership skills have been instrumental in enhancing business operations across various functions including HR, Finance, Operations, Sales, Risk Management, Engineering/Manufacturing, and Accounting. He has also contributed significantly to regional conglomerates like Indra in the Asia Pacific region. A passionate educator at heart, Tarun has facilitated training workshops throughout Asia Pacific countries such as Malaysia, Indonesia, Philippines, Thailand, and Singapore. His training sessions cover a broad spectrum of topics from project management to strategic leadership and soft skills development. Additionally, he specializes in advanced technical subjects like software architecture design patterns for reactive microservices architectures on cloud platforms. Tarun's academic credentials are equally impressive; he graduated summa cum laude with an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago. He holds multiple Bachelor's degrees in Biology, Math & Computer Science alongside Business Administration. Further enriching his knowledge base are certifications as an Agile/Scrum trainer; Java/.NET programmer; Machine Learning specialist; InfoSec expert; Business Intelligence professional; complemented by advanced studies in AI & Blockchain from prestigious institutions like MIT & Stanford. His client portfolio includes renowned organizations such as Western Digital/Sandisk for machine learning product management projects; Singtel & CIMB for agile product development initiatives; Tenaga Nasional & JPJ for agile project management engagements among others. Tarun's dynamic approach combined with his deep-rooted passion for developing people makes him a sought-after speaker at international conferences where he shares insights on digital transformation strategies.
Instructor
Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.
Minimum Qualification
Target Audience
Methodologies
Course Reviews

I realized i am in real world of marketing with the experienced instructor with his knowledge in marketing research worlds. I got the books, i got the knowledge, i got the ideas, and i got new friends in the class. They are all amazing.

As Marketer, I suggest to my friends to take this course. So much information that we have to learn from the experts, and we could apply the knowledge for better performance.

I would suggest the instructor's services since I am confident he taught me better.
Why should you attend?
This course offers a deep dive into the intersection of marketing research and data analytics, specifically tailored for professionals looking to harness digital marketing and online advertising strategies. The curriculum begins with an exploration of industry best practices and methods for collecting customer data. As the course progresses, learners will gain a robust understanding of data analysis fundamentals, including the ability to describe and simulate data, differentiate between discrete and continuous variables, and group descriptive analytics. The technical skills segment introduces participants to R programming, covering its basic objects, data frames, and essential functions for loading, saving, and visualizing data. Advancing into big data technologies, the course provides hands-on experience with Hadoop and R-Hadoop ecosystems—highlighting RHadoop packages, streaming, RHipe usage, as well as data retrieval and storage on RHDFS. Furthermore, learners will explore OLAP & OLTP operations using RHBase and RHive and execute Map-Reduce jobs efficiently. Finally, the program culminates in mastering advanced visualization techniques such as histograms, boxplots, QQ plots, cumulative distributions, and maps to effectively communicate insights drawn from complex datasets.
What you'll learn
- Create sophisticated visualizations such as histograms and maps to illustrate findings
- Perform advanced operations on R-Hadoop using RHBase Shell commands
- Learn effective techniques for collecting and analyzing customer data
- Master the fundamentals of describing and simulating various types of data
- Conduct Twitter Sentiment Analysis through Hadoop Streaming
- Understand the latest digital marketing industry approaches
- Develop proficiency in R programming for data manipulation and visualization
- Gain hands-on experience with Hadoop ecosystem tools like RHadoop packages and Hadoop streaming
Course Syllabus
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Course Reviews

I realized i am in real world of marketing with the experienced instructor with his knowledge in marketing research worlds. I got the books, i got the knowledge, i got the ideas, and i got new friends in the class. They are all amazing.

As Marketer, I suggest to my friends to take this course. So much information that we have to learn from the experts, and we could apply the knowledge for better performance.

I would suggest the instructor's services since I am confident he taught me better.
Training Provider Pricing
Pax:
Features
Subsidies

Ratings and Reviews
Instructors
Tarun Sukhani is a distinguished professional trainer and consultant with over 25 years of extensive experience in the IT and business sectors, having worked across multiple continents including the US, Europe, Asia, South America, and the Middle East. His expertise spans a wide array of domains such as Agile methodologies (Scrum, SAFe, Kanban), enterprise architecture frameworks like TOGAF and COBIT, IT service management standards including ITIL and ISO27001, as well as cybersecurity certifications like CISO and CISSP. Tarun's proficiency extends to project management frameworks such as PRINCE2 and PMP, along with cutting-edge technologies in Big Data analytics using Hadoop and Spark, data science with Python or R, and data visualization tools like Tableau. Tarun has held numerous senior development and executive roles including CIO/CTO positions where he managed large-scale IT operations for multinational corporations such as Dell, AMD, and Experian. His leadership skills have been instrumental in enhancing business operations across various functions including HR, Finance, Operations, Sales, Risk Management, Engineering/Manufacturing, and Accounting. He has also contributed significantly to regional conglomerates like Indra in the Asia Pacific region. A passionate educator at heart, Tarun has facilitated training workshops throughout Asia Pacific countries such as Malaysia, Indonesia, Philippines, Thailand, and Singapore. His training sessions cover a broad spectrum of topics from project management to strategic leadership and soft skills development. Additionally, he specializes in advanced technical subjects like software architecture design patterns for reactive microservices architectures on cloud platforms. Tarun's academic credentials are equally impressive; he graduated summa cum laude with an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago. He holds multiple Bachelor's degrees in Biology, Math & Computer Science alongside Business Administration. Further enriching his knowledge base are certifications as an Agile/Scrum trainer; Java/.NET programmer; Machine Learning specialist; InfoSec expert; Business Intelligence professional; complemented by advanced studies in AI & Blockchain from prestigious institutions like MIT & Stanford. His client portfolio includes renowned organizations such as Western Digital/Sandisk for machine learning product management projects; Singtel & CIMB for agile product development initiatives; Tenaga Nasional & JPJ for agile project management engagements among others. Tarun's dynamic approach combined with his deep-rooted passion for developing people makes him a sought-after speaker at international conferences where he shares insights on digital transformation strategies.
Hadia Yousaf is a highly experienced IT trainer with an extensive background in Statistics, Research, Business Administration, Banking, Finance, and Economics. Currently working as a Data Scientist and Data Science Trainer, Hadia has developed expertise in Python, SQL, Machine Learning related to Business Analytics and Big Data Analytics Data Visualisation. She has proven experience working with large data sets and analytic tools, showcasing her capabilities in Statistical Analysis using Time Series and Panel Data, statistical modeling, and Machine Learning. Hadia is a HRDF Certified Trainer (TTT) and Virtual Learn Caster (VLC), certified from Malaysia. She boasts of a diverse career path which includes 2 years as a Data Scientist/Data Science Trainer, 8 years of research work as a PhD researcher, 3 years as a Senior Banking Services Officer at Allied Bank Ltd., Pakistan, 1 year as an IT Intern under the Pakistan Government Internship Program and 1 year of teaching experience as a Course Instructor. Her current role at The Center of Applied Data Science involves creating data pipelines to collect, clean, normalise and load data for statistical analysis and hypothesis testing. With an expected Ph.D. in Industrial & Development Economics from Universiti Utara Malaysia by December 2022, Hadia's academic journey also includes an MBA in Banking & Finance and a Bachelor's degree in Information Technology. Her profound understanding of statistical and machine learning concepts combined with high standard coding practices positions her as an accomplished professional in the field. As a dedicated professional willing to work remotely or travel abroad, she prides herself on her excellent English language skills.
Minimum Qualification
Target Audience
Methodologies
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