“Hi, I am Simona G., and I live and work in Rotterdam, the Netherlands. In 2014 I was considering a shift from all-around B2B Marketing to a more ROI, data-driven Marketing role. I was not only fascinated by the business insights generated by my Business Intelligence colleagues, but I also came to realize that I would love to use my quantitative and analytical skills to their fullest. So, when Data Analysis came out as the skill needed to fill in the gap, it took me a good couple of weeks of an internet search to eventually choose Aryng´s Business Analytics and Testing online module. This online course is really great. Piyanka and Mukul dive into the dry statistical methods and apply them directly to real-life scenarios and cases, such as a travel agency, an online gaming company, e-commerce company Umazon, and Shamzon. The hands-on Excel walk-throughs are a wonderful practical tool. The cases focus as much on the business briefing process and actionable recommendations rolling out from the analysis as they focus on the data handling and analysis itself. There is a brief reference to the tooling available when it comes to data warehouse management, reporting and visualization, and Marketing automation. Last, but not least, following these modules I got a context to place the data analysis as a very specific skill. Some of the online study hours I experienced as real consulting sessions with professionals in Big Data Analytics. They come with those do’s and don’ts which are crucial to effectiveness in a role as a Data Analyst. What I personally appreciate is also the fact that Piyanka is accessible and responsive in the communication during the course. I warmly recommend the Aryng online courses.”
Simona G (Marketer, Tellus)
“I feel this training was great for me as I learned a structured approach to drafting the right business questions, constructing an efficient analysis and data collection plan, and deriving actionable insights to aid the key business decisions. Being a ‘data’ guy assisting business leaders and key stakeholders, I believe I can leverage the methodologies and practical techniques learned from this course to deliver results in a more concise and timely fashion, and indeed I have started reaping the benefits of this course already. I would recommend this course for anyone who is interested in expanding their knowledge base in analytics with a great learning opportunity from the senior experts in this field of study.”
Ashok D (Business System Analyst, PayPal)
"A very practical approach with real-world scenarios not taught in Harvard or business schools (ISB, IIM, ...). Exposes to simple yet very powerful handy frameworks that can be used to analyze, derive insights and provide recommendations not only to business problems but also can be widely applied to day to day life challenges (a whole new thought process for problem-solving)"
Dheera Settipalli (Senior Project Manager, Genpact)
"I feel more comfortable with the concepts behind data-driven business decisions after taking the course."
Ryan F (Innovation Specialist, Lean Taas Inc)
“I left today MORE CONFIDENT than ever to CONQUER BIG DATA. Thank you.”
Gines (Customer Success Manager, Box Inc)
Pre-requisites: Think with data course
This 2nd level data literacy course is a must-have for every employee in the organization who wants to extend data to actions.
|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|
|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|
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.