Predictive Analytics for Business
Build a solid foundation of tools and techniques for building machine learning models to make predictions so that business can gain insights
Classes : 30 Days : 3 months Duration : Weekdays / Weekends
This course will introduce you to some of the most widely used predictive analytics techniques and their core principles.
The core focus of predictive analytics is to use explanatory variables from past occurrences and exploit them to predict the previously unknown future.
In this course, you will learn foundational and advanced knowledge of solving real-world business problems. The accuracy and usability of predictive analytics is wholly dependent on how granular the analysis has been run and the type of assumptions that are being made. Forward-thinking organizations will utilize predictive models for a variety of business functions. Some of the most common ways this type of analysis is being used is to detect fraud, optimize marketing campaigns, improve operations, and to manage risk.
Learn what is possible with the state of machine learning in today`s world, its limits, risks, and rewards, and how to apply this knowledge to benefit your organization. This training covers some of the most common and useful Machine Learning algorithms from the industry.
This course provides you with the skills to build a predictive model from the ground up, using Python & R (Yes!, we cover both the languages in this training). You will learn the full lifecycle of building the model. First, you`ll understand the data discovery process and discover how to make connections between the predicting and predicted variables. You will also learn about key data transformation and preparation issues, which form the backdrop to an introduction in Python / R for data analytics.
Trainers:
2 industry experts, each having more than 20 years of International experience, shall execute this training
After completing the course, students would be able to:
-: Use Python and R language for their Predictive Analytics tasks
-: Have an advanced understanding of Machine Learning techniques
-: Use the Enterprise tools for modelling & analytics like SAS
-: Draw inferences from data and computer output and its application for business decision
-: Understand the use of statistics from modelling and analytics perspective
-: Use regression and model fit for better decision making
-: Understand the use of variables and their roles in regression models
Who this course is for:
- Domain experts who want to develop an overall understanding of predictive data analytics.
- Managers who need to understand how they can link data to business value through data analytics.
- Anyone who wants to understand the fundamentals of predictive data analytics.
- Students who want to add data capabilities to their curricular.
- The pre-requisites for this course includes: high school level understanding of Statistics and basic Programming Techniques.
The training is divided in 3 modules:
Module 1:
- The R language
- The Python language
- Basic Machine Learning Techniques
- Case Study
Module 2:
- Statistics for Predictive Analytics
- Advanced Data Mining Techniques
- Advanced Machine Learning Techniques
- Case Study
Module 3:
- Predictive Model Life Cycle
- Data -> Insights -> Decision
- Visualizing, Testing, and Deploying the Model
- Case Study
- Final Project
Module 1:
- The R language
- The Python language
- Basic Machine Learning Techniques
- Case Study
Module 2:
- Statistics for Predictive Analytics
- Advanced Data Mining Techniques
- Advanced Machine Learning Techniques
- Case Study
Module 3:
- Predictive Model Life Cycle
- Data -> Insights -> Decision
- Visualizing, Testing, and Deploying the Model
- Case Study
- Final Project
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Student Reviews
Bhawana
Fabulous NLP + ML course
I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.
Harish
Excellent ML course!
The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.