BADIR 'White Belt' - Data Educated Certification

Data Literacy is no longer an option it is a necessity skill to survive and prosper:

With the advent of the Internet of Things (IoT), more and more data is being generated and it is likely to continue. Cisco, the US-based networking hardware company, predicts that IoT will generate about 500 zettabytes of data by the end of 2019. One zettabyte is equal to 1 trillion gigabytes of data, that's BIG, isn't it? This is going to rise exponentially.

What is ACDL?

The Aryng Certified Data Literate (ACDL) designation is the industry standard trusted by corporations and individuals who have experienced the value that comes from a proven process, highly effective learning, and expert mentoring.

Who should be ACDL Certified?

The world of business professionals has a wide variety of titles and definitions. Experience shows that those reaping the greatest benefit from certification are professionals in functions such as:

• Marketing, Products, and Operations
• Sales, Finance, Client Success, Customer Support, and Management
• Leaders and Executives who are dipping their toe in Data Science

ACDL Certification Program at a glance:

• Analytics aptitude assessment to pre-check eligibility and acceptance into the program.
• 6 hours of high-quality job-ready course content
• 6 knowledge checks to validate comprehension
• 3 individual checkpoints with instructor at the program start, midpoint, and end to assess competency in 14 technical and non-technical categories and create a continuous learning plan
• 1 practice industry capstone case simulation
• 24/7 unlimited community support via Facebook class group
• 8.5 contact hours/PDUs
• 365 days of access to high-quality and self-paced continuous learning content taught by Aryng’s Data Science experts

Course Content:

1. Introduction to the Analytics landscape
   • Big Data, Business Intelligence, Data Science, A/B Testing
   • Analytics, Machine Learning, Predictive Analytics, Deep Learning, and AI
2. Overview of BADIR Analysis Framework using a client case
   • Business Problem: How to identify the real business problem behind the business ask
   • Analysis Plan: Structure analytics using Hypothesis-driven approach
   • Derive Insights/ Impact: How to derive insights from data for Portfolio Dynamics, Campaign Analysis, Product Launch, Business Case, Trend Analysis, Driver Analysis, and pre-post Test-control
   • Recommendation: Communication/Influencing the stakeholders
3. Tools and Data Interpretation
   • Introduction to broad categories of tools – Data storage and processing, Reporting, Analytics
   • Overview of commonly used statistical/analytical techniques: Correlation Analysis, Trend analysis, Sizing/Estimation, and Aggregate Analysis
   • Statistics 101: Aggregate Analysis – Averages, Standard Deviation, Error, Z-score, Statistical Significance, and Correlation Analysis
   • Which charts to use to represent what kind of information
   • Analysis using Excel: Functions, Pivot table, charting, dynamic refresh, formatting
   • Introduction to other business Analytics tools – Power BI and Tableau
4. Metrics/ Dashboard
   • Learn a framework to arrive at the top 20 metrics to manage your business.
5. Capstone case simulation
   • Apply what you have learned to a capstone client case to show your new data literacy skills