BCG Rise - DTCM07

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====== Course Outline ======

===== Introduction =====

===== Structuring & Problem Solving =====

* Creative Problem Solving Live Class
  * E-learning on "Defining the Problem" and "Generating a Hypothesis"
  * Structured Problem Solving Live Class
  * Live Exercise on Structuring & Framing
  * E-learning on "Career Advice from the Biggest Names in Business"

===== Modelling & Analysis =====

* The logic of building a model
  * Basic excel skills and modelling in a business context
    * Grouping
    * Filters & Sorting
    * Pivot Tables
    * Conditional Formatting
    * Text, Lookup, Logical Functions
    * How to Create Charts
  * How to formulate recommendations and draw insights from the results of your analyses

===== Storylining & Story Writing =====

* Develop a strong narrative
  * Build professional and clean slides

* Storylining
    * Framing your story
    * Developing a storyline
    * Writing executive summaries
    * Building slide flow

* Slide Writing
    * Designing Slides
    * Leveraging Visuals
    * Finalising your Presentation

===== Digital Essentials =====

* How digital and data revolution is changing businesses?
  * What are the key enablers of digital?
  * What does digital transformation of a company entail?

===== Digital Transformation =====

* Internet of Things
  * CyberSecurity
  * Cloud
  * Data & Digital Platform
  * Blockchain

===== AI and Digital Analytics =====

* What is AI, How it works and where it is used?
  * How data analytics creates value for companies?

==== Artificial Intelligence ====

* https://www.bcg.com/publications/2018/artificial-intelligence-factory-future.aspx
  * https://bcghendersoninstitute.com/tagged/artificial-intelligence
  * https://medium.com/bcggamma/
  * https://www.bcg.com/en-sea/capabilities/technology-digital/AI-at-scale.aspx
  * https://www.bcg.com/publications/2019/next-frontier-digital-ai-transformations.aspx
  * https://www.bcg.com/publications/2018/big-leap-toward-ai-scale.aspx
  * https://www.bcg.com/publications/2018/infographic-myth-vs-reality-artificial-intelligence-ai.aspx
  * https://www.bcg.com/publications/2018/power-limits-artificial-intelligence-interview-ibm-david-kenny.aspx
  * https://www.bcg.com/en-sea/capabilities/big-data-advanced-analytics/default.aspx

==== Data Visualization ====

* https://www.kdnuggets.com/2017/03/what-makes-good-data-visualization.html
  * https://www.tableau.com/learn/whitepapers
  * https://towardsdatascience.com/the-ultimate-technical-skill-in-data-visualization-for-data-scientists-73bc827166dd
  * https://towardsdatascience.com/the-ultimate-guide-to-data-cleaning-3969843991d4
  * https://towardsdatascience.com/data-visualization/home
  * https://towardsdatascience.com/the-power-of-visualization-in-data-science-1995d56e4208
  * https://medium.com/swlh/effective-visualization-of-multi-dimensional-data-a-hands-on-approach-b48f36a56ee8
  * https://medium.com/bcggamma/understanding-probability-when-data-is-scarce-7cfa4988e03d

==== Simulation ====

* https://www.amazon.com/Simulation-Data-Science-Matthias-Templ/dp/1785881167
  * https://www.sciencedirect.com/topics/index?searchPhrase=simulation
  * https://www.anylogic.com/resources/books/
  * https://www.anylogic.com/resources/articles/
  * https://www.anylogic.com/resources/white-papers/

==== Machine learning ====

* http://ml4a.github.io/guides/
  * https://www.kdnuggets.com/tutorials/index.html
  * http://neuralnetworksanddeeplearning.com/index.html
  * http://www.deeplearningbook.org/
  * https://research.google.com/bigpicture/
  * https://towardsdatascience.com/neural-network-optimization-7ca72d4db3e0
  * https://towardsdatascience.com/machine-learning/home
  * https://machinelearningforkids.co.uk/
  * https://ai.google/education/
  * https://medium.com/bcggamma/7-stories-behind-the-worlds-most-popular-machine-learning-algorithms-51472939d14b

==== Optimization ====

* http://www.statsoft.com/textbook
  * https://www.kdnuggets.com/tutorials/index.html
  * https://www.amazon.com/Introduction-Operations-Research-Student-Access/dp/0077298349
  * http://faculty.marshall.usc.edu/gareth-james/ISL/ISLR%20Seventh%20Printing.pdf
  * https://www.maplesoft.com/support/help/Maple/view.aspx?path=Optimization
  * https://reference.wolfram.com/language/guide/Optimization.html
  * https://documentation.aimms.com/_downloads/AIMMS_modeling.pdf
  * https://developers.google.com/optimization/introduction/overview
  * https://www.mathworks.com/products/optimization.html
  * https://www.gurobi.com/resource/books-blogs/
  * https://neos-guide.org/Optimization-Guide

===== User Research Methods =====

- Overview of User Research Methods
    - Unordered List Item Contextual Inquiry
    - Walk-a-Mile
    - Fly-on-the-Wall
    - User Interview
  - Overview of Synthesis Methods
    - Affinity Diagramming

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