Data Science and Big Data Analytics Modules

Data Science and Big Data Analytics Modules

About The Course
Big Data is a process to deliver decision-making insights. The process uses people and technology to quickly analyze large amounts of data of different types (traditional table structured data and unstructured data, such as pictures, video, email, transaction data, and social media interactions) from a variety of sources to produce a stream of actionable knowledge.

Organizations increasingly need to analyze information to make decisions for achieving greater efficiency, profits, and productivity. As relational databases have grown in size to satisfy these requirements, organizations have also looked at other technologies for storing vast amounts of information. These new systems are often referred to under the umbrella term “Big Data.”

Over the past 30 years, the amount of data available has increased tremendously.  As a result of various forms of information technology progression, companies are able to collect data in many ways (POS data, supply chain data, web-traffic data etc.), which can be used to further customer engagement, segment markets, analyse consumer behavior and optimize product development.  The role of data analysis is crucial, as it enables the disruption of previously traditional industries, and creates demand for various types of management processes based on data analytics.  Often, analytics allow managers to ask the right questions and make critical business decisions, by interpreting data without necessarily being a subject matter expert.

This two day course is beneficial to anyone wanting to understand cutting edge methods of data analysis in various industries.  Basic and advanced analytical methods will be discussed with real-life case studies, along with tutorials on how to make data analysis theory applicable to business scenarios. The course will focus on the following:

  • Basic Excel analysis in developing KPI's (Key Performance Indicators), and Dashboards. Converting raw data into interpretable and actionable data which can be tracked and analyzed. Discussion will center on how to communicate these results.

  • A/B Testing will be used to experimentally and statistically compare various business options. Case studies will be explored as to how this is accomplished in business.

  • Segmentation and Clustering will be analyzed with the goal to understand how to decode hidden patterns within specific data sets. Discussion will center on various business decisions which can be formed as a result.

  • Classification methodology will be discussed from the perspective of how businesses can use data to form experimental sampling, and define pathways based on predictive analysis.

Professor Zal Phiroz

Professor Zal Phiroz (PhD, MBA, BSc Hons.)
Harvard University, Adjunct Professor Supply Chain Management
Center for Purchasing and Supply Chain Management, Executive Advisory Board Member

Zal Phiroz is a powerful business leader and established industry specialist on marketing and global supply chain practices, within the fast moving consumer goods and IT industry.  Mr. Phiroz is distinguished by his passion for visionary business growth, entrepreneurship, and academia. He has held a number of executive, senior management and senior advisory roles within North America including time spent with Proctor & Gamble and TELUS. Mr. Phiroz currently teaches Supply Chain Management (Masters Level) at Harvard University.

With an established foundation in IT and management, Mr. Phiroz led a number of international special projects at Procter & Gamble, including $100M+ projects on shrink, Wal-Mart capacity optimization, Tide product concentration, IAMS demand projection and recall. In addition to leading an exploratory team tasked with overseeing global P&G innovation, Mr. Phiroz contributed to the Folgers divestiture, Gillette merger, and managed cross-functional special project partnerships with major retailers including Wal-Mart, Shoppers Drug Mart, Tesco, CVS and Walgreens.

Within the telecommunications marketing and IT space at TELUS, Mr. Phiroz was charged with quarterbacking the national expansion of smartphone device usage within the overall corporate portfolio. Under the leadership of Mr. Phiroz, the TELUS data device portfolio increased exponentially, and resulted in a market share growth of 16% over two years. Data analysis processes, and customized marketing techniques initiated by Mr. Phiroz are still in use currently.

As the co-founder and President of Pier Consulting Group Inc., Mr. Phiroz is responsible for direct collaboration with medium sized corporations, leading academic institutions, and federal charities on sustainability, macro marketing, and management and coordination of all supply-chain and operations projects. Major projects have included management of international consumer marketing research, aggregate data analysis on competitive markets, growth opportunity quantification, and optimization of supply chain coordination.

Mr. Phiroz holds an MBA in International Finance and two undergraduate degrees in Computer Science. A dynamic public speaker, Mr. Phiroz is a regularly invited to guest lecture at various Universities on topics relating to Supply Chain Management. He has also spoken at TEDx, UN Canada, OPAL (Chicago, Newport, Toronto), and currently instructs graduate level Supply Chain Management at Harvard University.

Selected Testimonials
More testimonials go to youtube, type “”

Bank CIMB Niaga Business Strategy & Support Head
"I joined the training from Husin Group about the Big Data from Husin Group, the training is very good, very useful, very practical, the trainer from Harvard University is very professional, thumbs up for Husin Group."

Pembangunan Perumahan PP (Persero) Senior Manager T&T
"The Data Science material is very good, the trainer is Professor from Harvard University is very good, the room is convenient enough, the food is very good which is at Le Meridien Hotel, so everything was good."

Jasa Marga (Persero) IT Standardization and Compliance Manager
"Data Science training by Husin Group is very interested, the trainer Prof Zal Phiroz from Harvard University is very cool, he explained the course step by step, how to use the software step by step, we all understand the course, its a very cool course."

HM Sampoerna Mgr P&C Resource Management
"Data Science training by Husin Group is very short term, practical, a lot of practical case studies we can use in our routine daily jobs. And also the way the trainer teach us on how to use advanced Excel, JMP is very step to step guidance, we as new user also can catch up with the training."

Berlian Jasa Terminal Indonesia Labour Report, Ops Planning & Analysis Ops
"Data Science training is very beneficial for us, from simple things to big things like making decision, its very important for many companies. I hope Husin Group keep doing this training, and other beneficial training for Indonesia companies."

HM Sampoerna Mgr P&C Analyst
"Data Science training by Husin Group is very useful for myself, I hope I can implement what I learned in this course back to my company."

Frisian Flag Indonesia Business Analyst Manager
"Data Science training by Husin Group is a good course for big data and also this training is a good platform for companies that want to transform to a data science companies."

Bank Rakyat Indonesia Junior Relationship Manager 2
"Data Science training by Husin Group is a good training and useful for companies, the organiser is very professional as well."

Pertamina Hulu Energi PHE Production Asset Management Engineer
"The training Data Science is very easy to follow, easy to understand, its very friendly for those that do not understand about Data Science. The Trainer Prof Zal Phiroz from Harvard University is very knowledgeable and very helpful in helping us one to one to explain about the course. I think this training will be very helpful in helping my job, and give me solutions in my daily job. I fully recommend this course to others that would like to know more about Data Science."

Jasa Marga (Persero) Manager Property BM
"I learned a lot from this Data Science course especially on how to process the raw data that we have into something useful and making the right decision. I also learned on how to use the right KPI and this is very useful for me because I can implement this KPI in my responsibilities area, which is our subsidiary companies."