“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)
This course is an applied, hands-on predictive analytics course covering the most commonly used predictive analytics techniques in the business world, using Python. Course includes
|
Masters or |
Learning |
Aryng |
|
| 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 |
| Cost |
$$$$$
|
$/free
|
$$
|
| Topic | Duration |
|---|---|
| Introduction to Python + functions and libraries used for analysis in Python | 240 minutes + exercises |
| Modeling using Python: Logistic Regression, Linear Regression, Decision Trees, and Model comparison techniques | 90 minutes + exercises |
| Predictive Analytics: Hands-on BADIR using marketing, product, and operations scenarios from a bank: | |
|
30 minutes + exercises |
|
70 minutes + exercises |
|
15 minutes |
|
210 minutes + exercises |
|
11 minutes + exercises |
|
10 minutes |
|
70 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.
