Think, Act, and Lead with Insights Series
A data literacy course for future-ready managers who want to learn how to extend data into actions and drive cross-functional business impact through data
Anand V (Director, Big Data Analytics at Impetus Technologies)
Carol T (Senior Marketing Analytics Professional)
Greg J (Senior Product Manager at IMVU)
Karanbir S (Senior Manager of Business Intelligence at IMVU)
Priti S (Senior Product Manager at Franklin Templeton Investments)
Pre-requisites: Desire to drive impact using data
This complete data litracy course is for managers, leaders, and analysts who want to lead with data and create a data-driven culture within the organization.
|Job-ready, hands-on training|
|Focused on solving real Business problem for industry||Rare||Marginal|
|Learning of end-to-end process of Data Science project||Modular||Modular|
|Taught by analytics experts with Fortune 100 experience||Rare|
|Technical as well as non-technical (business / soft skills)||Rare|
|Lifetime access to live community of fellow learners||Rare|
|1-on-1 access to Data Science expert instructions||Rare|
|Flexible, self-placed, online courses|
|Industry-recognized certification||Accredited||Inconsistent||Professional Certification|
|What is Analytics?||20 minutes|
|Introduction to BADIR and Critical Thinking||20 minutes|
|Pets R Us exercise: Overview of BADIR analysis framework||60 minutes|
|Data Literacy Pathways and Quiz||60 minutes|
|What is Analytics?||20 minutes|
|Introduction to Analytics Landscape||30 minutes|
|Statistics 101: Aggregate and Correlation Analysis||30 minutes|
|Winery case exercise: Overview of BADIR analysis framework||60 minutes + exercise|
|How to lay an Analytics Agenda: Three key questions to ask||40 minutes|
|Introduction to Predictive Analytics||90 minutes|
|Introduction to test-and-learn (A/B Testing)||40 minutes|
|How to create impact in a cross-functional organization||45 minutes|
|How to hire and develop a data-driven team||25 minutes|
In more than 15 years as an analytics leader, Aryng Founder Piyanka Jain is a leading expert in Data Literacy, building Data Culture, Machine Learning, Data Science, and Analytics. She is an Amazon #1 bestselling author in Data Mining, paid keynoter in conferences, and a regular contributor to Forbes, HBR, InsideHR, TDWI, Experian, Modern Workplace, Predictive Analytics World, etc. She has developed the BADIR framework which enables 10X+ faster insights, 20X+ impact, and has driven $1b+ in business impact for her clients. She has two Master’s degrees, with her thesis involving applied mathematics and statistics. Before founding Aryng, she was the Head of Business Analytics at PayPal-North America.
As the head of analytics and testing, Ram is responsible for enabling a data-driven decision-making culture. His team's value propositions span strategy enablement, execution optimization, and impact augmentation with the analytics value chain framework for stakeholders across product, marketing, and relationship management. His critical focus areas are conversion rate optimization, customer lifecycle management, and strategy analytics. A fervent believer in the power of data, Ram understands the importance of iterative learning and a growth mindset.
Yash has a Master of Science from Columbia University with a specialization in Business Analytics centered on employing statistical machine learning to drive decisions. Yash is passionate about using AI and Deep Learning to transform and disrupt organizational operating models and create impact through data-driven strategy. He is currently a data scientist with the global predictive modeling team at Visa, Inc. Yash is instrumental in enabling credit access to small businesses and enterprises by leveraging Visa Cards data to build credit risk models.
Swarnabha Ghosh is a Data Scientist at Aryng. A firm believer in data-driven decision-making and explainable AI, he has experience in working with advanced machine learning and deep learning algorithms. He has a postgraduate degree in Physics and research experience in computational physics. He likes to keep up with the latest advancements in the world of AI and incorporate deep learning and machine learning models to create customer-centric solutions for business problems. “In God we trust, all others must bring data.” - W. Edwards Deming.