DISRUPTORS IN THE DIGITAL AGE
As the world becomes smarter and smarter, #data becomes the key to competitive advantage, meaning a company’s ability to compete will increasingly be driven by how well it can leverage data, apply #analytics and implement new #technologies. In fact, according to the International Institute for Analytics , by 2020, businesses using data would have seen $430 billion in productivity benefits over competitors who are not using data.
So, it’s clear that data is now a key business asset, and it’s revolutionising the way companies operate, across most sectors and industries. In effect, every business, regardless of size, now needs to be a data business. And if every business is a data business, every business therefore needs a robust data strategy.
Rise RiseNetworks‘ goal is to empower 5 million Data Science and Analytics professionals over the next 5 years with technology education and skills through different Programs and we are glad to announce our self-oriented Executive and Mid-Level Program in Data Science, Analytics & Artificial Intelligence [EMP-DSAi]
EMP-DSAi is a 4-week Blended Learning (Weekends Only) Data Science and Business Analytics Program for Senior and Mid-Level Managers that will upskill them with techniques and concepts on the application and usage of Data for the enhancement of their Operational Processes for the overall growth and profitability of the Organization.
It will help to build a well-rounded Data Science Corporate Strategy with managers that possess technical proficiency, Data Leadership and Communication, and strategic decision-making capabilities.
There will be weekly virtual interactive Sessions with our Faculty, online Exercises, Peer Discussion Boards and you will work on a Group Capstone Project.
1. Introduction to Statistics and Applied Data Science for Business
2. Exploratory Data Analysis, Visualization, Predictive Analytics and Regression Models
3. Robotic Process Automation, Machine Learning Algorithms and Artificial Intelligence Strategies for Business
4. Building, Engaging and Managing Data Science Teams and Data Science in Real Life
DATE: September 17th – October 17th 2021
TIME: 3pm – 5pm (Saturdays) (On-Site)
2pm – 4pm (Sundays) (Virtual)
Register by clicking the link below: