BE A CERTIFIED DATA ANALYST TODAY!

CONTACT US @ +65 9690 0470

Are you looking to acquire authentic and highly sought-after business skillsets that will open up new lucrative career paths in the digital age?

Do you want to be mentored by current practitioners with exceptional commercial track record in Data Science, Machine Learning, and Artificial Intelligence solutions?

Thinking about enhancing your value to your organization with new skillsets in cutting-edge analytics and machine learning?

Worried about the time required for a long, rigid, and expensive analytics and machine learning course?

Confused by the deluge of data analytics and machine learning curriculum in the market today?

If your answer is yes to one or more of the questions above, then this is the certification for you.

The curriculum is hands-on and practical, emphasising on developing data science intuition rather than simply coding. Coming from a non programming background, I picked up data analytics, data visualisation and machine learning skills that are relevant to industry practices. With the guidance of the instructors, I’ve since secured a Data Governance role at a leading security organisation. Thank you so much, JCube!!!

Evelyn Wong, Analyst, Leading Security Organisation

Thanks Dr. Jack. The resources are a great help indeed. Really appreciate it. Want to award you “BEST LECTURER EVER”.  As for my current work, they are using R scripts to automate the process of combining excel sheets and then writing to word document to send as daily reports.

Tan Cheng Kiat, Analyst, Healthcare Ministry in Singapore

I have picked up skills working with APIs, data cleaning, data visualisation and data analysis. Projects focused on working with Python 3, Pandas, and Natural Language Toolkit.  Both Dr. Ke and Jack are competent, patient and motivating, encouraging us to learn and complete our projects!

Cher Kheng Thian, Founder, Marketing Agency

I say the course curriculum is very focused on training students to handle real-world data analyst work using Python and that the skills learnt will be good enough to support and grow your role as an entry level data analyst.

Ng Yee Tat, Manager, Large Telco in Singapore

Programme Design

UNIQUELY DESIGNED BY RESEARCH ROOM (rR) and delivered through JCube
Our certification model is uniquely designed by founders of Research Room (rR)*, who are industry masters in the craft of analytics and machine learning. The programme is well-supported by a network of experienced data science/machine learning experts. Course is short and compact, targeted to get you industry ready and certified within the shortest time, working around your busy schedule.

* Research Room (rR) Pte Ltd was co-founded by a team of Singaporean Ph.Ds who are industry veterans in the craft and application of analytics, machine learning and A.I. solutions. With over 8 years of working experience, they have worked on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to thousands of students, clients, and organizations.

At JCube, courses are delivered using our openlearning platform. Sessions are conducted both onsite and online to deliver the most optimal learning experience for you.  In addition, individual coaching sessions are available for learners to meet our faculty on a personal level to keep pace with the sessions and/or to seek advice on careers and jobs.

Technology Stacks

Course Outcomes

While other data science programmes focus on Computer Science theory, this certification equips students with practical industry coveted skillsets through real-life projects, such as data analysis on worldwide COVID-19 trends, housing price prediction, and more.

JOB OF A DATA ANALYST
Data Analysts work with all types of data to perform and present analysis that support business decisions. They are a critical part of a data-driven team that works with multiple stakeholders across an organization and aids them in discovering actionable insights. They are known to be meticulous and detailed-oriented co-workers, and enjoy working with data. Data Analysts adopt an analytical approach to solving problems using data and are always willing to learn new things on-the-fly.

Upon completion of our program, participants will be able to implement data analytics within an organization to generate business insights and intelligence through the use of statistical and computational techniques and tools, algorithms, predictive data modeling, and data visualization.

KEY LEARNING OUTCOMES

  • Learn essential Python programming techniques for data analysis.
  • Learn essential data wrangling techniques – import, inspect, clean, merge, and transform data.
  • Learn essential data exploration techniques – perform statistical modeling for analysis.
  • Learn essential machine learning techniques to augment statistical models.
  • Learn how to present data and insights with visualizations.
  • Understand essential data privacy and security issues and the steps to secure personal data.
  • Apply all the learned techniques on real-world datasets and use-cases.

Where some of our students work

Faculty

LEARN FROM VETERAN DATA SCIENTISTS AND A.I. EXPERTS

Our faculty have collectively trained more than 10,000 professionals are among the most respected and passionate practitioners and leaders in the field of digital science and transformation. Their expertise provides the highest quality of instruction to learners. Faculty also teach Data Science at renowned Universities at Undergraduate, Masters and Doctoral Levels and are known to be the best teachers who are patient and experienced in simplifying difficult concepts for learners to grasp easily.

DR. JACK HONG
DR. JACK HONGPROGRAMME DIRECTOR
Co-founder of Research Room, an AI consulting and development outfit that delivers decision-making capabilities for complex use-cases, Dr. Hong specializes in developing prediction and decision engines with the use of alternative data. Some of his notable works include omni-channel content personalization systems, manpower resource optimization using deep reinforcement learning, real estate valuation engines, and highly personalized portfolio strategies using applied artificial intelligence (AI).

He is also AI Technology Consultant at Certis Group, Data Science Advisor at Vertex Holdings, advising on Human Conversational AI, Predictive Resource Allocation, Super-Intelligence in Natural Language Capabilities in Finance. He is also CEO of Integrum Global. Dr. Hong is concurrently an adjunct faculty with the Singapore Management University (SMU), and has been actively teaching undergraduate, postgraduate, and professional programmes since 2015. He is the lead instructor for the highly acclaimed “Leading Digital Transformation” course for MBA students.

DR. KE JINGHAO
DR. KE JINGHAOPROGRAMME DIRECTOR AND LEAD FACULTY
Dr. Ke is the co-founder of Research Room, a highly trained team of Data Scientists and Analysts with domain expertise in economics, finance, strategy, and business management. He has provided management consulting for and managed teams to help thousands of individuals, SMEs, MNCs and various Singapore Government agencies deliver bespoke implementations of data-driven turn-key technology solutions in areas of complex prediction, decision making, machine learning, deep learning, amongst others.

Dr. Ke is also co-founder of JCube Institute and a full-stack programmer well versed in various analytics stacks such as Python, R, SAS, Microsoft Analytics and Stata. On top of his work, he is adjunct faculty with the Singapore Management University in his spare time and teaches at Professional, Masters and Undergraduate levels.

EVELYN
EVELYNLEAD FACULTY
After attending JCube’s Certified Data Analyst (CDA) course, taught and coached by Dr Jack Hong, Evelyn currently leads at Certis Group as a Data Governance Analyst to deploy and enforce policies and procedures that ensure accurate and high data quality throughout its lifecycle. Besides being adept in software development, data analysis, machine learning, natural language programming and applications, Evelyn has an extensive background in corporate functions, including Compliance, Business Development, Sales & Marketing and Project Management at 3M, Agilent Technologies and ST Engineering. Evelyn is also a Certified Lean Six Sigma Green Belt and Certified Scrum Master. She is also well-versed in applying the advanced elements of the Lean Six Sigma, Agile and Scrum Methodologies in any organisation.
DR. JONATHAN KHOO
DR. JONATHAN KHOOLEAD FACULTY
Dr Jonathan Khoo is a full-stack app developer who likes building stuff. He has successfully delivered many projects on bespoke implementations of data driven strategies that delivers complex prediction and decision-making capabilities to many large organisations.

Khoo obtained his Doctor of Philosophy in Business (Finance) at SMU. He has published papers in Genetic Programming and has a working paper in Energy Prediction. His dissertation thesis investigates corporate finance through the lens of social network graph analytics, where he found a statistically significant “ownership centrality” effect in firm performance. Prior to that, he completed his Masters in Industrial Engineering and Operations Research at the University of Michigan (Ann Arbor), a year after he received degrees with Highest Honors in Economics and Summa Cum Laude in Electrical Engineering. He is an alumnus of Raffles Institution and Hwa Chong Institution.

JUN YI
JUN YIASSOCIATE TRAINER
Currently a Data Scientist for Digital Transformation at Certis Group, Jun Yi is well-equipped with Python and Data Analytics skills under the tutelage of the JCube founders. His established career encompasses diverse experiences in engineering and finance, where he has gained multidisciplinary capabilities through various Front Office to Back Office roles, comprising Operations, Planning, Project Management and Workforce Development. His extensive experience in Business Development and Sales across MNCs and renowned banks, including Maybank Singapore, HSBC, UOB Kay Hian and Bank of America, complements his strong technical expertise in Equipment, Industrial and Facilities engineering roles at Seagate, Singapore Power and Micron Technology.
QIANYU
QIANYUASSISTANT TRAINER
Qian Yu is an Assistant Trainer/Coach at JCube Institute. His interest in Data Analytics and Artificial Intelligence (A.I.) has led him to embark on projects in the varied domains ranging from EdTech to Computer Vision, Natural Language Communication, and social analytics. Combining his passion in healthcare and experience in utilizing data, he and his team engaged NTUC Health to analyze the social networks of community dwelling elderly for early intervention measures. Qian Yu loves sharing his knowledge and experience with anyone entering the fields of analytics and AI, believing that the best way to learn is through asking and learning from others.
CAMELLIA
CAMELLIAASSISTANT TRAINER
Camellia is Assistant Trainer/Coach at JCube Institute. She is an Information Systems professional driven to help businesses to create value in their digital transformation journey. She has worked on various projects with clients such as NTUC Health to create a restroom queue management system and collaborated with SAP Leonardo to help waste management companies to automate waste segregation. Camellia is also a Research Assistant working on solutions to automate bug detection, identification, and correction in the realm of Machine Learning projects. The research pushes the pinnacle of Artificial Intelligence by building State of the Art (SOTA) tools and models to address programming bugs, with the aim of setting a new benchmark for Machine Learning world.

Schedule/Course Details

COURSE SCHEDULE (e2i)

Classes will be conducted across 5 blocks of 15 hours each. Each block will be conducted over 2 weekday evenings (7 p.m. to 10 p.m.) and a full Saturday (9 a.m to 6 p.m).

Certified Data Analyst – May 2022 (Run 23)

Block 1 (15 hours)
Class 1: 19/05/22 (7 p.m to 10 p.m)
Class 2: 20/05/22 (7 p.m to 10 p.m)
Class 3: 21/05/22 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 02/06/22 (7 p.m to 10 p.m)
Class 2: 03/06/22 (7 p.m to 10 p.m)
Class 3: 04/06/22 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 16/06/22 (7 p.m to 10 p.m)
Class 2: 17/06/22 (7 p.m to 10 p.m)
Class 3: 18/06/22 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 30/06/22 (7 p.m to 10 p.m)
Class 2: 01/07/22 (7 p.m to 10 p.m)
Class 3: 02/07/22 (9 a.m to 6 p.m)

Certified Data Analyst – Apr 2022 (Run 22)

Block 1 (15 hours)
Class 1: 31/03/22 (7 p.m to 10 p.m)
Class 2: 01/04/22 (7 p.m to 10 p.m)
Class 3: 02/04/22 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 14/04/22 (7 p.m to 10 p.m)
Class 2: 15/04/22 (7 p.m to 10 p.m)
Class 3: 16/04/22 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 12/05/22 (7 p.m to 10 p.m)
Class 2: 13/05/22 (7 p.m to 10 p.m)
Class 3: 14/05/22 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 26/05/22 (7 p.m to 10 p.m)
Class 2: 27/05/22 (7 p.m to 10 p.m)
Class 3: 28/05/22 (9 a.m to 6 p.m)

Certified Data Analyst – Mar 2022
Block 1 (15 hours)
Class 1: 10/03/22 (7 p.m to 10 p.m)
Class 2: 11/03/22 (7 p.m to 10 p.m)
Class 3: 12/03/22 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 24/03/22 (7 p.m to 10 p.m)
Class 2: 25/03/22 (7 p.m to 10 p.m)
Class 3: 26/03/22 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 07/04/22 (7 p.m to 10 p.m)
Class 2: 08/04/22 (7 p.m to 10 p.m)
Class 3: 09/04/22 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 21/04/22 (7 p.m to 10 p.m)
Class 2: 22/04/22 (7 p.m to 10 p.m)
Class 3: 23/04/22 (9 a.m to 6 p.m)

Certified Data Analyst – Feb 2022
Block 1 (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 07/04/22 (7 p.m to 10 p.m)
Class 2: 08/04/22 (7 p.m to 10 p.m)
Class 3: 09/04/22 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 21/04/22 (7 p.m to 10 p.m)
Class 2: 22/04/22 (7 p.m to 10 p.m)
Class 3: 23/04/22 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 06/01/22 (7 p.m to 10 p.m)
Class 2: 07/01/22 (7 p.m to 10 p.m)
Class 3: 08/01/22 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 20/01/22 (7 p.m to 10 p.m)
Class 2: 21/01/22 (7 p.m to 10 p.m)
Class 3: 22/01/22 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 11/11/21 (7 p.m to 10 p.m)
Class 2: 12/11/21 (7 p.m to 10 p.m)
Class 3: 13/11/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 25/11/21 (7 p.m to 10 p.m)
Class 2: 26/11/21 (7 p.m to 10 p.m)
Class 3: 27/11/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 17/02/22 (7 p.m to 10 p.m)
Class 2: 18/02/22 (7 p.m to 10 p.m)
Class 3: 19/02/22 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 03/03/22 (7 p.m to 10 p.m)
Class 2: 04/03/22 (7 p.m to 10 p.m)
Class 3: 05/03/22 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 07/10/21 (7 p.m to 10 p.m)
Class 2: 08/10/21 (7 p.m to 10 p.m)
Class 3: 09/10/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 21/10/21 (7 p.m to 10 p.m)
Class 2: 22/10/21 (7 p.m to 10 p.m)
Class 3: 23/10/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 04/11/21 (7 p.m to 10 p.m)
Class 2: 05/11/21 (7 p.m to 10 p.m)
Class 3: 06/11/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 18/11/21 (7 p.m to 10 p.m)
Class 2: 19/11/21 (7 p.m to 10 p.m)
Class 3: 20/11/21 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 09/09/21 (7 p.m to 10 p.m)
Class 2: 10/09/21 (7 p.m to 10 p.m)
Class 3: 11/09/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 23/09/21 (7 p.m to 10 p.m)
Class 2: 24/09/21 (7 p.m to 10 p.m)
Class 3: 25/09/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 04/11/21 (7 p.m to 10 p.m)
Class 2: 05/11/21 (7 p.m to 10 p.m)
Class 3: 06/11/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 18/11/21 (7 p.m to 10 p.m)
Class 2: 19/11/21 (7 p.m to 10 p.m)
Class 3: 20/11/21 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 12/08/21 (7 p.m to 10 p.m)
Class 2: 13/08/21 (7 p.m to 10 p.m)
Class 3: 14/08/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 26/08/21 (7 p.m to 10 p.m)
Class 2: 37/08/21 (7 p.m to 10 p.m)
Class 3: 28/08/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 30/09/21 (7 p.m to 10 p.m)
Class 2: 01/10/21 (7 p.m to 10 p.m)
Class 3: 02/10/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 14/10/21 (7 p.m to 10 p.m)
Class 2: 15/10/21 (7 p.m to 10 p.m)
Class 3: 16/10/21 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 15/07/21 (7 p.m to 10 p.m)
Class 2: 16/07/21 (7 p.m to 10 p.m)
Class 3: 17/07/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 29/07/21 (7 p.m to 10 p.m)
Class 2: 30/07/21 (7 p.m to 10 p.m)
Class 3: 31/07/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 30/09/21 (7 p.m to 10 p.m)
Class 2: 01/10/21 (7 p.m to 10 p.m)
Class 3: 02/10/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 14/10/21 (7 p.m to 10 p.m)
Class 2: 15/10/21 (7 p.m to 10 p.m)
Class 3: 16/10/21 (9 a.m to 6 p.m)

Class 1: 17/06/21 (7 p.m to 10 p.m)
Class 2: 18/06/21 (7 p.m to 10 p.m)
Class 3: 19/06/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 01/07/21 (7 p.m to 10 p.m)
Class 2: 02/07/21 (7 p.m to 10 p.m)
Class 3: 03/07/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 15/07/21 (7 p.m to 10 p.m)
Class 2: 16/07/21 (7 p.m to 10 p.m)
Class 3: 17/07/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 29/07/21 (7 p.m to 10 p.m)
Class 2: 30/07/21 (7 p.m to 10 p.m)
Class 3: 31/07/21 (9 a.m to 6 p.m)

Class 1: 27/05/21 (7 p.m to 10 p.m)
Class 2: 28/05/21 (7 p.m to 10 p.m)
Class 3: 29/05/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 10/06/21 (7 p.m to 10 p.m)
Class 2: 11/06/21 (7 p.m to 10 p.m)
Class 3: 12/06/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 24/06/21 (7 p.m to 10 p.m)
Class 2: 25/06/21 (7 p.m to 10 p.m)
Class 3: 26/06/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 08/07/21 (7 p.m to 10 p.m)
Class 2: 09/07/21 (7 p.m to 10 p.m)
Class 3: 10/07/21 (9 a.m to 6 p.m)

Class 1: 22/04/21 (7 p.m to 10 p.m)
Class 2: 23/04/21 (7 p.m to 10 p.m)
Class 3: 24/04/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 06/05/21 (7 p.m to 10 p.m)
Class 2: 07/05/21 (7 p.m to 10 p.m)
Class 3: 08/05/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 24/06/21 (7 p.m to 10 p.m)
Class 2: 25/06/21 (7 p.m to 10 p.m)
Class 3: 26/06/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 08/07/21 (7 p.m to 10 p.m)
Class 2: 09/07/21 (7 p.m to 10 p.m)
Class 3: 10/07/21 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 04/03/21 (7 p.m to 10 p.m)
Class 2: 05/03/21 (7 p.m to 10 p.m)
Class 3: 06/03/21 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 11/03/21 (7 p.m to 10 p.m)
Class 2: 12/03/21 (7 p.m to 10 p.m)
Class 3: 13/03/21 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 25/03/21 (7 p.m to 10 p.m)
Class 2: 26/03/21 (7 p.m to 10 p.m)
Class 3: 27/03/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 08/04/21 (7 p.m to 10 p.m)
Class 2: 09/04/21 (7 p.m to 10 p.m)
Class 3: 10/04/21 (9 a.m to 6 p.m)

Block 1 (15 hours)
Class 1: 3/12/20 (7 p.m to 10 p.m)
Class 2: 4/12/20 (7 p.m to 10 p.m)
Class 3: 5/12/20 (9 a.m to 6 p.m)

Block 2: (15 hours)
Class 1: 17/12/20 (7 p.m to 10 p.m)
Class 2: 18/12/20 (7 p.m to 10 p.m)
Class 3: 19/12/20 (9 a.m to 6 p.m)

Block 3: (15 hours)
Class 1: 07/01/21 (7 p.m to 10 p.m)
Class 2: 08/01/21 (7 p.m to 10 p.m)
Class 3: 09/01/21 (9 a.m to 6 p.m)

Block 4: (15 hours)
Class 1: 21/01/21 (7 p.m to 10 p.m)
Class 2: 22/01/21 (7 p.m to 10 p.m)
Class 3: 23/01/21 (9 a.m to 6 p.m)

Course Fees

e2i SUBSIDY

The Certified Data Analyst Programme is supported by the Employment and Employability Institute (e2i) .

Normal Price SGD 4,500
Fee includes  Certified Data Analyst (Foundation)

  • For company-supported Singaporeans and PRs, participants are eligible for e2i grant of 70% and will need to pay nett fee of S$1,350.  Please note that participants will be required to show documentation of meeting at least one of the three requirements after completing the course to be eligible for the funding:-
    • Job retention of 2 months; or
    • Re-appointment (promotion, expansion of jobscope or job title change); or
    • Job placement (self-paying trainees)
  • For self-sponsored individuals (other nationality), participants will need to pay only S$4,500

Our consultants will be happy to share with you further on financing arrangements. Please whatsapp us at +65 9690 0470

SUPPORTED BY

The Employment and Employability Institute (e2i) is the empowering network for individuals and companies seeking skills and solutions for growth. Since 2008, e2i has assisted more than 500,000 individuals through our career guidance, professional development, and job matching services. With an extensive network of partners, e2i offers hiring, training and productivity solutions to businesses. An initiative of the National Trades Union Congress (NTUC), e2i supports nation-wide manpower and skills upgrading programmes.

JCube works with e2i on grant support in our Data Analytics Programme offered to support the programme registration fees payable by programme attendees who are sent or supported by their companies for either job retention with the company or re-appointment (promotion, expansion of jobscope or job title change).