Specialized hands-on courses | BADIR: Hands-on Machine Learning and AI

BADIR: Hands-on Machine Learning/AI

Machine Learning and AI skills for data science professionals towards the business impact

Our Clients

  • cxd
    Develop AI
    expertise

    Learn a step-by-step approach to ML and AI models using Python

  • fdg
    Machine Learning
    in real-life

    Build accelerated real-life models within business and resource constraints

  • dv
    Feature
    Engineering

    Learn feature engineering to drive maximum impact

  • Become an
    influencer

    Become a thought partner to your stakeholders

“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)

The Aryng differentiator

  • Diff

    Learn from renowned
    Silicon Valley industry
    experts

  • csfgrht

    Get BADIR, a tried and
    tested framework to solve
    growth problems

  • adretr

    Learn how to identify and
    solve highest value
    problems

  • dfetgrytdwret

    Drive career growth through
    key decision-science and
    data-science skills

Meet the trainers

  • 13 weeks course| 2 hours/week
  • Solve 5 industry use cases with real data
  • fdg
    Machine Learning/ AI | A hypothesis-driven approach for practical AI
  • Monthly mentoring | 24/7 LinkedIn community
lead insights

This course is an applied, hands-on AI course covering the most commonly used machine learning and AI techniques in business using Python. ML, Deep Learning and NLP algorithms including

  • 1
    Lasso, Ridge and Elastic Net
  • 2
    Random forest and GBT
  • 3
    Neutral Network, ANN, and CNN
  • 4
    Text Analytics and Clustering

Aryng vs. other programs

Masters or
diploma courses

Learning
platform courses

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
$$$$$
$/free
$$

Benefits included

  • An official social media ready course completion certificate
  • 12 months of access to all course content and videos. Go back, pause, take notes, as many times
  • Templates, cheat sheets, and samples that help you take your training to your day-to-day
  • Lifetime access to LinkedIn class group for continued learning and support
  • Group mentoring every month with Aryng experts
  • Flexible Learning

The course at a glance

Topic Duration
Introduction to Python 100 minutes + exercises
Introduction to Machine Learning 145 minutes + exercises
Machine Learning Regression using BADIR: LASSO, Ridge and Elastic Net using Pandas and Scikit-Learn 180 minutes + exercises
Machine Learning Classification using BADIR: GBT, Random Forest, XGBoost using Pandas and Scikit-Learn 180 minutes + exercises
Unsupervised Learning using BADIR: Segmentation and K-Means clustering using Pandas and Scikit-Learn 95 minutes + exercises
Principal Component Analysis 4 minutes
Neural Networks using BADIR: Introduction, techniques, model building, and hyperparameter tuning 195 minutes + exercises
Advanced Neural Networks - CNN and RNN along with relevant examples 110 minutes + exercises
Machine Learning/AI Case: Hands-on deep dive using marketing, product, and operations scenarios from a beauty product subscription business:
Get to the real business question, lay out an analysis plan, and collect data 25 minutes + exercises
Derive insights using all the techniques taught and pick the best model 260 minutes + exercises
Make actionable recommendations 9 minutes
ML in everyday life - recipes, short-cuts, tips for hyperparameter tuning, NN intuition, model deployment and feature engineering 97 minutes
 
 
 

Frequently asked questions

  • How long does it take to complete the course?
    This course consists of 13 sections, each with 2 hours of self-paced online lectures. Additionally, expect to spend 2-4 hours/week on exercises and assignments.
  • What background knowledge is necessary to take this course?
    You need familiarity with programming, BADIR: Business Analytics course, BADIR - Predictive Analytics course, passion for learning data, and a knack for storytelling. You must also score 20 or higher on the Aryng’s Aptitude Assessment.
  • Do I get a certificate at the completion of the course?
    Yes, after taking the course, you will get the certification of completion. This is a foundational course for BADIR Master Black Belt Certification.