Predictive Business Analytics for Decision Making
Predictive Business Analytics for Decision Making
Learn to harness the power of predictive analytics to improve decision-making in business, using historical data and statistical models to forecast outcomes and optimize performance.
Enrollment closes on 15th November
Enroll now for just ₹35,000 + GST.
Duration
32 Hours of Online Learning
Faculty
Saurabh Agarwal
Programme Fee
₹35,000+GST
Program Overview
- Learn from cybersecurity experts with real-world experience.
- Explore cutting-edge trends, tools, and methodologies in bug hunting and ethical hacking.
- Acquire practical experience through immersive case studies and hands-on projects.
- Forge connections with professionals and alumni for collaboration opportunities.
- Gain hands-on experience through capstone projects and simulated scenarios.
- Deepen understanding of cybersecurity operations and bug hunting techniques.
- Prepare to tackle genuine cybersecurity challenges in your preferred industry.
Key Features
Comprehensive course curriculum
Learn popular predictive models
Hands-on exercises with Python.
Focus on practical business applications
Hands-on Practice Sessions
Certificate of Completion
What you'll learn
Understand the scope and limitations of multivariate predictive models in business context.
Create predictive models using multivariate statistical techniques
Use clustering methods in business context.
Clearly communicate and present predictive analytics results in common business lingua that can be understood by a general non-technical audience.
Program Coordinators
Dr. Arnab Bhattacharya
Professor, Department of Computer Science and Engineering
Dr. B V Phani
Head of Department, Department of Industrial Management & Engineering at Indian Institute of Technology, Kanpur
Our Mentors
Shubhashish B.
Director APAC and North America Algo / ex-Microsoft, Citi / IIM-A MBA (2yr PGP)
Eshan Tiwari
Data Science Lead at Google
Vijay Agarwal
Partner, Head of Data & Analytics Practice, at Baker Tilly India Business Advisory, Consulting Services & DevOps & Cloud
Rajat Nigam
Group Chief Technology Officer at Network18 Media & Investments Ltd
Dr. Vivek Rastogi
Chief Technology Officer @ Fabindia Limited | Driving Digital Transformation | E-commerce, Retail ,SAP S4 HANA
Falguni Desai
Experienced CTO
Why Learn with E&ICT Academy, IIT Kanpur
- Explore cutting-edge trends, tools, and methodologies in Predictive Analytics
- Acquire practical experience through Immersive Case Studies and hands-on projects.
- Develop connections with professionals and alumni for collaboration opportunities.
- Capstone Projects and Simulated Scenarios.
Course Curriculum
The role and importance of Predictive analytics in business decision. Review of statistical measures and limitations.
- The role and importance of Predictive analytics in business decision. Review of statistical measures and limitations.
EDA: Exploratory Data Analytics
- Descriptive Statistics
- Data Cleaning
- Visualization
Review of Statistical Inference
- Why modellers require hypothesis testing
- How it helps in diagnostics of a model.
Preparing datasets for analysis: Checking assumptions, handling missing values.
- Preparing datasets for analysis: Checking assumptions, handling missing values.
Support Vector Machines for Classification Models
- Support Vector Machines for Classification Models
Cluster Analysis
- The steps and logic of clustering
Using Cluster Analysis in Business Context
- Using Cluster Analysis in Business Context
Linear Models for Prediction
- Linear Regression: The assumptions and diagnostics required
- Multiple Linear Regression and diagnostics
- Using Regression in Business Context
Classification Models for Prediction:
- Logistic Regression
- Multiple Logistic Regression
Using Logistic Regression in Business Context
- Using Logistic Regression in Business Context
Classification Trees for Regression & Classification
- Classification Trees for Regression & Classification
Using Classification Trees in Business Context
- Using Classification Trees in Business Context
Naïve Bayes classification in business context
- Naïve Bayes classification in business context
Text Analytics
- Text Analytics
Review and Discussion
- Review and Discussion
Final Evaluation
Tools Covered
Faculty Details
Prof. Saurabh Agarwal
He holds both undergraduate and postgraduate degrees from IIT Kanpur and IIT Delhi. Currently affiliated with HBTU Kanpur, Great Lakes, AIMA New Delhi, and NMIMS Mumbai, he serves as a consultant for IBM and UNESCO in Business Analytics. He has published a paper on integrating alternate payment channels, presented at The Fourth International Conference on Payment Channels organized by Banknet India, Mumbai. His interests include Data Mining, Data Analysis, Business Analytics, Structural Equation Modeling, and Multivariate Analysis, utilizing platforms like R, Python, SPSS, Amos, Modeler, and IBM Watson Analytics. He has conducted international workshops for organizations such as Saudi Aramco, Kiatanin Bank, and the Ministry of Road Transport in Abu Dhabi, along with prominent domestic trainings at AIMA, Symbiosis University, and IIT Kharagpur, among others.
Who is this course for?
Sample Certificate
- Business Professionals
- Data Analysts and Scientists
- Marketing Specialists
- Human Resources Managers
- Students and Graduates
- Entrepreneurs and Business Owners
- Organizational Leaders
- Consultants
Program Details
TOTAL PROGRAM FEE
₹35,000+GST
- Course Type : Online Live Delivery
- Duration : 32 Hours
- Skill Level : Beginner to intermediate
Frequently Asked Questions
What is the duration of the course?
The "Predictive Business Analytics for Decision Making" course consists of 32 contact hours, which include lectures, hands-on exercises, and assessments.
What are the certification criteria for the course?
Students will receive a certificate upon successful completion of the course, which includes meeting the attendance requirement (full attendance) and achieving the passing criteria. Additionally, all assignments and the final project must be submitted on time and meet the specified standards.
Is prior knowledge of predictive analytics required?
While prior knowledge of predictive analytics is not mandatory, a background in statistics or data analysis is highly recommended. Familiarity with statistical concepts will enhance the learning experience.
What types of assessments are included in the course?
Assessments include:
Full Attendance: 10% of the total grade for attending all sessions.
Class Assignments: 30% of the total grade, which involves working on business problems using predictive analytics tools.
End-Term Examination: 60% of the total grade, focusing on an individual project that applies course concepts(Predictive Analytics Fo…).
What skills will I gain from this course?
Students will gain skills in predictive modeling, statistical analysis, data visualization, and effective communication of analytics results to non-technical audiences. The course also covers various predictive analytics techniques applicable in business contexts.
Will there be hands-on training during the course?
Yes, the course includes numerous hands-on exercises, primarily using Python, to reinforce learning and practical application of predictive analytics techniques in real-world scenarios.
How will my performance be evaluated?
Performance will be evaluated based on attendance, the quality of assignments, and the final project.
