Professional Certification in Quantitative Methods ​

1. Asynchronous 1 - Topics
   Math review, The Normal Distribution, Algebra of Random Variables, The Normal CDF
2. Class 1 - Topics
   Activity: Competing with Probability Distributions,
   Activity: Understanding Histograms, The Inverse Normal CDF,
   Activity: Finding the Limits of The Central Limit Theorem
3. Asynchronous 2 - Topics
   Hypothesis testing, The T-Distribution, Difference-in-means-tests, Using Google Colab
4. Class 2 - Topics
   Hypothesis Testing Projects: Choosing Thresholds for Fraud Detection, Avoiding False Positives in A/B Testing
5. Asynchronous 3 - Topics
   One-tailed tests, Confidence Intervals, Bootstrapping, Using AI for Analytics
6. Class 3 - Topics
   Activities: Data Viz and Analytics with AI
7. Asynchronous 4 - Topics
   More Algebra for Random Variables , Correlation and Covariance, The Binomial Distribution
8. Class 4 - Topics
   Activity: More AI Analytics, Project: Correlation and Product Bundling
9. Asynchronous 5 - Topics
   Dimensionality Reduction
10. Class 5 - Topics
    Project: Making Big Data Manageable with Dimensionality Reduction

At the end of the course, you will be able to:

1. Solve foundational mathematical problems in topics like probability and statistics, using both classic spreadsheets and AI tools
2. Apply statistical techniques and quantitative analysis to business problems management.
3. Propose rational decisions in a variety of business contexts.

Anyone without a background in analytics but wants to develop their skills and knowledge in analytics.

Quantitative Preparation course (for those with limited background in Math). Please note that a link to this course will be shared to ACE learners upon registration.