Today, a growing data economy & AI-first decision-making mindset has led to a booming demand in the analytics job market. The World Economic Forum says that nearly 96% of companies will look to hire staff to fill big data analytics roles by 2022. The world of analytics itself is undergoing a transformation of its own, requiting the need for upskilled talent, who can keep up with the industry’s ever-changing dynamics. While it is evident that there is a scarcity of talent. The talent demand gap widens given how the skillset expectations are ever-evolving & begs for continual, 360-degree training efforts. This is where Co.ach comes in.
Pitfalls of a Traditional Learning Setup
There are many reasons why a traditional L&D setting fails in the case of analytics. We understand that to truly drive a data-first mindset, we need a different approach than a traditional training module. While upskilling and training activities are traditionally under the general purview of HR, ours is led by an analytics mindset. Here at MathCo., training is conceptualized, executed and owned by core analytics practitioners, who are well-versed with the ins and outs of their domains. This also allows for seamless intermingling with real-world applications of analytics, beyond theoretical knowhow.
Our analytics training philosophy is largely influenced by Progressivist and Constructivist student-centric philosophies. Training programs are focused on the student’s learning experience, with in-depth coverage of best industry practices, tools & technologies, problem-solving & solution design frameworks. Employees apply their training in various industry-specific problem statements and are better-positioned to solve real-world analytics problems for clients.
We have distinct training modules for employees across levels to hone their skills and strengthen their problem-solving muscle. These range from fundamentals of statistics and data science algorithms, to solving case studies across industries and functions, developing full-stack skills, harnessing the latest tools & technology, infusing design thinking principles to humanize analytics solutions. Our training programs are also geared at catering to the varied learning styles and interests of individuals, whether it is the pace, format, topic, tools, future goals, project engagements, among others.
How do we measure the learning?
Essentials training modules are undertaken by everyone across organizations, focused on fundamentals or building blocks of algorithms used in Data Science & Data Engineering, or cross-learnings through full-stack trainings. Essentials enable delivery teams with sharper knowhow of tools & technologies, for speedy project turnaround times.
EYH is a training initiative to foster better problem solvers by exploring the scope of analytics, trends and practices across industries and functions, and more. The idea is to build and strengthen the problem-solving muscle across the organization and cater to naturally inquisitive learners who are eager to acquire domain knowledge. The training program is typically undertaken by engagement leads, so they are well-versed with domain knowhow to steer analytical projects in the right direction.
The SME Path initiative encourages employees to accomplish 4 milestones in their roadmap to becoming an SME, before they are awarded the coveted Badge of Honour. The gamified training approach is geared at encouraging more employees to become masters of their domains.
LFH is an elective training program designed for intrinsically motivated employees who would like to upskill themselves in cutting edge tools & technology. The offline learning sessions allow employees to partake in self-study modules, in their own time, at their own pace. LFH training sessions have also motivated our folks to build innovative analytics solutions, from geo-spatial models to chatbots.
Our extensive graduate upskilling program is geared at accelerating the learning curve as students transition from university to organization, bringing them up-to-speed with hands-on projects and learnings, while honing their full-stack capabilities.
DIY is an open-for-all training initiative, where employees can enrol for external courses of their choice, with courses entirely sponsored by TheMathCompany.
At MathCo., we have expanded our capabilities across both data science and engineering to help our clients realize this value. While we have our in-house experts across domains, our employees are conversant with full-stack skills & tools needed to deliver a solution. Co.ach enables our employees to stay up-to-date with the ever-changing analytics landscape through dedicated full-stack trainings. Drawing from principles in the model of T-shaped skills, our teams have full-stack skillset forming the horizontal bar of T while we continue to nurture SMEs across domains. This leads to the ultimate ‘T-skilled’ expertise across the organization. The resulting solutions inherently support analytics consumption and garner meaningful business value.
Custom training programs catering to individual roles & levels
Real-World AI application focused training content & tests
Comprehensive sessions geared at domain mastery by expert analytics practitioners
Holistic training modules with full-stack and core analytics practice learnings
Smart competency index to evaluate org-wide training performance standards
The Design of the program was a healthy mix of content driven guidance. exploring through research hands-on exercise.
ASHER BABUSenior Associate
Learning the implementation of HR Analytics in MathCo. was exciting. Exploring the possibilities of data science in HR function was the best part!
ASHISH SAMSenior Partner - People & Operations
Building a chat bot from home was way too cool! Experimentation with the idea of how a chatbot should behave and giving character to it was fun.
PARVATHY GOVINDSenior Associate