Ruby (Qingwen) Zhang

Earners of this knowledge badge utilized a scientific approach to solving business problems with data. They learned the fundamentals of extracting, transforming, modeling, and loading data from disparate sources into a consumable form used by the business to make decisions. Additionally, they completed project(s) applying data wrangling knowledge using simulated scenarios.

Earners of this knowledge badge gained an understanding of descriptive statistics and a predictive technique, linear regression, to discover actionable, data driven findings that create business value. They gained a basic understanding of big data and the different techniques being used in business. Additionally, they completed projects applying tools using statistical concepts in simulated scenarios.

Earners of this knowledge badge gained a deep understanding of data visualization concepts and tools to tell effective stories using data. They are able to design effective dashboards and communicate data insights to drive decision making to solve business problems. Additionally, they completed projects applying skills using data visualization tools in simulated scenarios.

Earners of this knowledge badge gained an understanding of key digital topics and how these important technologies are influencing business decisions and transforming how we work. They are equipped to leverage this digital knowledge when scoping engagements, applying firm methodologies, creating solutions and facilitating conversations.

A unique, predictive commentary on the M&A trends within our industry sectors, aligning to global Deals themes. Led by Global Deals Industry leaders, Partners/Directors across multiple regions.

Earners of this knowledge badge understand the fundamental concepts, tools and application of human-centered design. They recognise the value of design philosophy that combines digital, professional and leadership skills that go beyond design thinking, and use agile ways of working and data-driven storytelling. They are equipped to identify opportunities to design products, services and experiences, putting people at the heart of solving problems by involving human perspective at every step.

Earners of this skill badge create efficiencies through data management and process automation. They have conducted thorough risk analyses, such as financial, short-term, long-term, security, and IT life cycles, to implement changes to process, policies and procedures internally at PwC and externally for clients. Additionally, they have hands-on experience implementing and maintaining automation workflows, and are able to effectively communicate process automation concepts to stakeholders.

Earners of this skill badge applied experience using a scientific approach to solving business problems by cleansing, preparing and manipulating data into a consumable form. They uncover patterns, read/develop insights, draw meaningful conclusions and clearly communicate critical findings to drive decision-making and implement changes internally at PwC and externally for clients.

Earners of this skill badge applied experience using a scientific approach to solving business problems by cleansing, preparing and manipulating data into a consumable form using programming skills such as Python, SQL and similar tools. They uncover patterns, read/develop insights, draw meaningful conclusions and clearly communicate critical findings to drive decision-making and implement changes internally at PwC and externally for clients.

Earners of this knowledge badge gained an understanding of statistical and predictive concepts, to discover actionable, data driven findings that create business value. They gained a basic understanding of big data and the different techniques being used in business. Additionally, they completed projects using programming tools and applying statistical and predictive techniques in simulated scenarios.

Earners of this knowledge badge utilized a scientific approach to solving business problems with data. They learned programming skills to extract, transform, model, and load data from disparate sources into a consumable form used by the business to make decisions. Additionally, they completed project(s) applying data wrangling knowledge using simulated scenarios.