Primer
Identify the key components in a financial statement analysis
Identify the components in a ratio analysis
Identify methods for predicting cash flow
Simplify complex spreadsheets
Streamline operational work by using advanced formulas and templates
Use advanced functions to improve productivity
Enhance spreadsheets by applying visual elements such as charts and graphics
Problem-solving approaches
Case studies
Case study application
Core Learning Modules
A-1 Python Programming Essentials I - Variables, Expressions, and Control Statements
A-2 Python Programming Essentials II - Functions and Data Structures
A-3 Python Libraries for Data Science - NumPy
A-4 Python Libraries for Data Science - Pandas
A-5 Python Assignment
A-6 Business Intelligence (using Power BI)
A-7 Practical Data Considerations: Data Cleaning and Preparation
Course Project: Python
A-8Identify organizational uncertainties
B-1 Understanding the Business Problem
B-2 Time Series Forecasting
B-3 Exploratory Data Analysis
C-1 Visualizing perceptual data
C-2 Interpreting visualizing output
C-3 Visualization using Tableau
C-4 Data Storytelling: Narrate Stories in a Memorable Way
C-5 Project on deriving business insights and storytelling
D-1 Supervised ML
D-2 Predictive Analysis (Linear Regression, Logistic, Lasso, Ridge, K-Means)
D-3 Introduction to Ensemble Models: Random Forest & Boosting
E-1 Unsupervised Learning: Association Rules Mining (Market Basket Analysis)
E-2 Classification & Regression Models using Neural Networks
E-3 Introduction to Deep Learning
E-4 Introduction to Convolutional Neural Networks
E-5 Introduction to Natural Language Processing
E-6 Modelling on Text data
Assignment
E-7 Executing AI Strategy
Program Outcomes
Data Preparation
Data-Driven Strategy
Customer Analytics
Process Design
Live Dashboards
Risk Analytics
Schedule
January |
Orientation Primers |
Online LIVE Online Self-paced |
---|---|---|
February & March |
Core Learning Modules |
Online LIVE & Online Self-paced |
April & May |
Core Learning Modules |
Online LIVE |