Analytics Translator Program Dubai
The program provides guidelines on what steps one must follow to solve business problems through analytics to help you relate to your business environment, get started & overcome challenges.
Course Location:
- 20 Dec
- 20 Hours
- Certification
- $899
- $1099
- 1000+ Students trained so far across Middle-East, APAC, and India
- 2-4 Mn Business managers with Analytical understanding are in demand in the US, as per McKinsey
- 29% CAGR of Data science & Analytics professional services in Asia-Pacific by 2020 as per IDC
As Analytics Translators
- Classroom + Online
Key Highlights
- This 2-day code-less workshop will help in analytics solution building & driving insights
- 2 days of Classroom Training
- Act as an Analytics Translator in your organization
- Facilitate the process of prioritizing these opportunities
- No Code Analytics Solution Building
- Bridge Gap between Analytics and Business Decision Making
Enter your details
What will you get
- 2-day Bootcamp (classroom training) in your city
- No Code Analytics Solution Building
- One-to-one mentorship from industry experts
What will you learn
- Get started as an analytics translator for business
- Discover analytics applications for decision making
- Facilitate the process of prioritizing these opportunities
What skills you will build
Chapter 1: 6 - S Framework
- Setting the context of the program
- Get familiar with fundamentals
- Defining the framework
- Introducing the Analytical Problem
- Identifying issue
- Learn Logic Trees
- Defining the Logic Trees for the analytical problem
Chapter 2: Scope of Data
- Defining the 5-I Framework
- Accessing the data requirement
- Investigating the collection process
- Inspecting, Improving and Integrating
Chapter 3: Prioritizing Issues
- Defining actionable metrics
- Familiarizing with a descriptive analysis toolkit
- How to measure the impact?
- Realizing the pitfalls
Chapter 4: Identifying Opportunity Areas
- Get familiar with Train of Thought Analysis
- An understanding significance analysis tool
Chapter 5: Building Decision Enablers
- Understanding the need for predictive model building
- Mapping predictive modeling techniques to business cases
- Pitfalls of Predictive Modeling
Chapter 6: Communicating
- Get familiar with data-led storytelling framework
- Understanding design principles
- Experiencing data visualization in action
Chapter 7: Implementing
- Exploring the last mile framework
- Implement the major analytical problem for the course
Who should do this?
This course doesn’t presume that you are from a programming or mathematical or statistical background, However, by nature, the subject will get somewhat technical when we discuss model building In general, we have tried to minimize the maths & statistics while helping you appreciate the concepts. Similarly, we will show programming to help you realize the steps to building solutions & the output of different steps. The focus will be more on the interpretation of the output. You will find this course helpful if you are already working with data or taking business decisions.
What are the prerequisites?
There are no formal prerequisites to attend this Program.
How is the program structured?
-
- Register for the program
- Login to Learning Management System and access the course
- Complete the pre-classroom content through interactive learning platform and e-learning content
- Attend the 3-day classroom session in your city
- Get the Certificate of Participation
- Complete the Post-Bootcamp content through interactive learning platform and e-learning content
- Complete all the assessments, assignments and projects
- Get the Project Completion Certificate
Who are Analytics Translators?
Business Managers acts as Analytics Translators:
- To help organizations incorporate data-driven insights into day-to-day business processes
- To lead the identification & prioritization of opportunities where advanced analytics can make a difference
- To generate business impact at scale from analytics
What is the need for Analytics Translators?
Data Scientists alone are not enough because:
- Even though they are good at solving analytics problem, they lack business understanding
- They struggle in what problems to pick & how to prioritize
- They fail to communicate to inspire action
Need of Business Managers to act as Analytics Translators:
- To help organizations incorporate data-driven insights into day-to-day business processes
- To lead the identification & prioritization of opportunities where advanced analytics can make a difference
How will this program help me?
- Process Model: Provides guidelines on what steps one must follow to solve business problems through analytics. Also, will help you relate to your business environment, get started & overcome challenges
- Analytics Tools: Will help you perform analytics tasks easily and stop you from going back to your usual ways of analyzing data.
- No-Code Playground: Experience analytics solution building steps & interpret outputs without writing any code
What is the ATPM Model?
ATPM is an in-house model developed by Clevered by Data Science Experts and Industry Veterans. For each ATPM element, you will:
- Learn the concepts & frameworks
- See examples & cases to further your understanding
- Perform hands-on exercise & group activities to gain confidence
What if I have more queries?
Call us at +91-8588863954 or send an email to info@clevered.com. We will be glad to assist you.
Locations and Schedule
-
Dubai20 Dec 2019
Course Advisor
14+ years of experience in building analytical solutions & digital strategy for large organizations. Rich experience in conducting analytics training for over 5000 hours in the last 3 years. Conducted classroom training and online training in India & abroad. Tie-ups with several organizations & institutions for analytics training. He has helped over 30 global organizations transform their business using customer, marketing, workforce & operational analytics across retail, banks, NGOs, DTH, Telecom & CPG. He has been instrumental in managing & growing multi-million dollars analytics projects in retail, HR, marketing & customer loyalty.
Expertise
