Data Science for Business Professionals
$99
4.5 (1725)
Rated 4.5 out of 5
Duration
2 Weeks (30+ Lessons) at 4-5 Hours/Week
Predictive, Prescriptive Analytics for Business Decision Making
Learn How to Build Predictive and Prescriptive Models Using Numerical Data
Adopt a data-driven approach to derive user insights, optimize network usage, seal customer satisfaction, and enhance profitability
Course Length
5 weeks
Effort
6 Hours/Week
100% Online
With Continuous Learning Community support + Monthly Live Webinars
Learning Access
Resource Toolkit & Templates + Unlimited Networking Events
What will you Learn?
- Understand the difference between Cross sectional and Longitudinal data.
- Differentiate between a prediction and forecasting problem scenario and apply these concepts towards data led decision making.
- Harness the power of analytics for decision making.
- This prescriptive analytics course will aid you in understanding the Parametric and Non Parametric modeling approach towards addressing the crucial tradeoff between Predictive accuracy and the Explainability of models.
- Use LPP towards building multiple “What if “ scenarios which are widely used in business decision making.
- With predictive analytics course online, conceptualize Gradient Descent Algorithm, which is the basic foundation for most of the widely used Machine learning algorithms to be introduced subsequently.
Key Topics Covered
- Develop predictive and prescriptive models using numerical data
- Time-series Forecasting
- Optimization through Linear Programming
- Gradient Descent and it’s applicability in Machine Learning
- Framework towards business decisions
Course Content
Chapter 1 - Overview of Predictive Analytics
Overview, Models & Modelling
Recap -Key libraries
Understanding cross sectional and longitudinal data
Chapter Quiz
Recap -Key libraries
Understanding cross sectional and longitudinal data
Chapter Quiz
Chapter 2 - Simple Linear Regression and Multiple Linear Regression
Regression Fundamentals
The linear regression equation
Linear Regression explained
Linear Regression with independent variable
Interpreting R -Squared
Evaluating Model Performance
Key assumptions of Linear Regression
Residual Analysis
Statistical tests to validate assumptions
Correlation and Casuation
Heat map and Scatter plots
Multiple Linear Regression use case
Interpreting regression outputs
Regression use cases
Chapter Quiz
The linear regression equation
Linear Regression explained
Linear Regression with independent variable
Interpreting R -Squared
Evaluating Model Performance
Key assumptions of Linear Regression
Residual Analysis
Statistical tests to validate assumptions
Correlation and Casuation
Heat map and Scatter plots
Multiple Linear Regression use case
Interpreting regression outputs
Regression use cases
Chapter Quiz
Chapter 3 - Time Series Forecasting
Time Series Fundamentals
Visualizing time series data using plots
Components of Time series
Stationary time series
Forecasting fundamentals
Forecasting techniques
Forecasting techniques : Exponential Smoothing
Forecasting techniques : Holt’s method
Forecasting techniques : Holt’s Winter method
Forecasting techniques : ACF & PACF
Forecasting techniques : ARIMA
Forecasting techniques : ARIMA models in Python
Applications of Time Series
Chapter Quiz
Visualizing time series data using plots
Components of Time series
Stationary time series
Forecasting fundamentals
Forecasting techniques
Forecasting techniques : Exponential Smoothing
Forecasting techniques : Holt’s method
Forecasting techniques : Holt’s Winter method
Forecasting techniques : ACF & PACF
Forecasting techniques : ARIMA
Forecasting techniques : ARIMA models in Python
Applications of Time Series
Chapter Quiz
Chapter 4 - Prescriptive Analytics -Gradient Descent
Introduction to Prescriptive Analytics
Gradient Descent (& code)
Gradient descent fundamentals
Stochastic Gradient descent regression
Chapter Quiz
Gradient Descent (& code)
Gradient descent fundamentals
Stochastic Gradient descent regression
Chapter Quiz
Chapter 5 - Prescriptive Analytics-Linear Programming Problems
Linear Programming fundamentals
Components of LPP
Formulating the LPP model
Solving linear models-Graphical method
Solving linear models -Simplex method
Assumptions of LPP
Business applications of LPP
Chapter Quiz
Components of LPP
Formulating the LPP model
Solving linear models-Graphical method
Solving linear models -Simplex method
Assumptions of LPP
Business applications of LPP
Chapter Quiz
Chapter 6 -Business Decisions I
Parametric & Non Parametric Methods – Model building
Tradeoffs -Accuracy vs Explainability
Chapter Quiz
Tradeoffs -Accuracy vs Explainability
Chapter Quiz
Chapter 7 -Business Decisions ..II
Framework to choose the right model to address business problems
Chapter Quiz
Chapter Quiz
What Learners Say About Our Program
Ideal For
1 – 8 yrs work experience.- Engineering, Math/Statistics/Programming background preferred
Typical roles: Domain experts, Engineers, Software and IT Professionals, Project
Managers, Business Analysts, Consultants, Entrepreneurs.
Engineers with over 5 years of experience
Preparing you for Global Certification
Get an Industry accepted Predictive, Prescriptive Analytics for Business Decision Making certification from IPL that enhances your professional equity and bolsters your career profile.
Common Scenarios to Enroll
34% of the firms that were top in class in using analytics got about 6% more profitability and were about 5% more productive
Unlock the Bonuses
Worth $200
Mentor Engage
Access Mentors & Experts On Demand
1:1 Coaching with Faculty & Skill Mentors (Schedule Your 1 FREE Session Today)
Book Now Networking Events/Webinars
Explore Online & Campus Events
IPL Events offer a unique opportunity to engage with senior professionals and thought leaders.
Join Upcoming Events Community Membership
Join the most exclusive community for Product Leaders
Network with the Best of the Best
Request an Invite Refer And Earn
Refer your friends to IPL.
They'll get 30% discount on their first course and you’ll get up to ₹10000 in Amazon Vouchers for every friend who enrolls.
Start Referring Related Digital Courses
Cluster Analysis
$99
4.2 (547)
Rated 4.2 out of 5
Duration
2 Weeks at 4-5 Hours/Week
Telecom Data Analytics
$99
4.3 (628)
Rated 4.3 out of 5
Duration
2 Weeks at 4-5 Hours/Week
Predictive, Prescriptive Analytics for Business Decision Making
$99
4.2 (725)
Rated 4.2 out of 5
Duration
5 Weeks at 6 Hours/Week
Business Statistics for Data Analysts
$99
4.3 (532)
Rated 4.3 out of 5
Duration
4 Weeks at 4 Hours/Week
AI and ML Foundations for Business Leaders
$99
4.4 (1264)
Rated 4.4 out of 5
Duration
2 Weeks at 4 Hours/Week
Data Visualization for Storytelling
$99
4.3 (814)
Rated 4.3 out of 5
Duration
4 Weeks at 4 Hours/Week