Next-Gen Analytics: Tools for Future-Proof Decisions
Next-Gen Analytics equips participants with advanced analytics tools to make data-driven, future-proof decisions.
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e-LMS
Self Paced
Moderate
3 Months
About
This program introduces cutting-edge analytical tools and techniques designed to harness the power of data in decision-making. Participants will explore machine learning, predictive analytics, and big data technologies, learning to apply these in various business contexts to predict trends and improve decision outcomes.
Aim
The aim of Next-Gen Analytics: Tools for Future-Proof Decisions is to equip participants with advanced analytical skills, using the latest tools in predictive analytics and machine learning to drive strategic decision-making. The program focuses on preparing professionals to effectively navigate and influence future trends through data-driven insights.
Program Objectives
- Master the latest tools in data analytics and machine learning.
- Apply predictive analytics to foresee and mitigate potential risks.
- Utilize big data to drive strategic decisions and innovation.
Program Structure
Module 1: Introduction to Next-Generation Analytics
- Section 1: Fundamentals of Advanced Analytics
- Definitions and Core Concepts in Analytics
- Evolution from Traditional to Advanced Analytical Techniques
- Section 2: The Role of Analytics in Decision Making
- Strategic Importance of Analytics in Modern Businesses
- Case Studies of Analytics Driving Business Transformations
Module 2: Data Management for Analytics
- Section 1: Data Collection and Integration
- Techniques for Efficient Data Collection and Aggregation
- Tools and Technologies for Data Integration and Management
- Section 2: Ensuring Data Quality and Governance
- Best Practices for Data Quality Assurance
- Data Governance Frameworks and Compliance
Module 3: Predictive Analytics and Machine Learning
- Section 1: Techniques in Predictive Analytics
- Overview of Predictive Modeling Techniques and Their Applications
- Building and Validating Predictive Models
- Section 2: Machine Learning Algorithms
- Exploring Various Machine Learning Techniques
- Practical Applications of Machine Learning in Industry
Module 4: Prescriptive Analytics and Optimization
- Section 1: Basics of Prescriptive Analytics
- Concepts and Methods in Prescriptive Analytics
- Using Optimization and Simulation to Inform Decision Making
- Section 2: Implementing Prescriptive Tools
- Case Studies on the Successful Implementation of Prescriptive Analytics
- Tools and Software for Prescriptive Analytics
Module 5: Real-time Analytics and Big Data
- Section 1: Real-time Data Processing
- Technologies for Handling Real-time Data Streams
- Applications of Real-time Analytics in Business Operations
- Section 2: Leveraging Big Data for Advanced Analytics
- Tools and Frameworks for Big Data Analytics
- Big Data Analytics in Action: Insights from Industry Leaders
Module 6: Ethical Considerations and Future of Analytics
- Section 1: Ethics in Analytics
- Ethical Considerations in Data Collection and Analysis
- Developing Guidelines for Ethical Use of Analytics
- Section 2: Emerging Trends and Technologies
- The Future Landscape of Analytical Tools and Techniques
- Preparing for the Next Wave of Analytical Innovations
Final Assessment and Project
- Capstone Project:
- Designing and Implementing a Comprehensive Analytical Solution for a Hypothetical Business Scenario
- Final Examination:
- Comprehensive Test on Advanced Analytical Techniques and Their Applications
Participant’s Eligibility
- Students in data science, business analytics, or related fields seeking cutting-edge skills.
- Aspiring analysts and professionals who want to incorporate advanced analytics into their skill set.
- Individuals aiming to enhance their decision-making capabilities with data-driven insights.
Program Outcomes
- Predictive Analytics Mastery: Develop skills to use predictive models for forecasting and strategic planning.
- Machine Learning Application: Learn to apply machine learning techniques to analyze and interpret large datasets.
- Big Data Utilization: Gain proficiency in handling and extracting value from big data.
- Advanced Data Visualization: Enhance skills in visualizing complex data to make informed decisions.
- Decision-Making Frameworks: Master frameworks for integrating analytics into decision-making processes.
- Risk Analysis Techniques: Learn techniques for quantitative and qualitative risk analysis.
- Strategic Insight Development: Cultivate the ability to derive strategic insights from analytical processes.
Fee Structure
Standard Fees: INR 4,998 USD 198
Discounted Fee: INR 2499 USD 99
Batches
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 20 % |
| Final Online Exam | 30 % |
| Project Report Submission (Includes Mandatory Paper Publication) | 50 % |
To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.
Program Deliverables
- Access to e-LMS
- Real Time Project for Dissertation
- Project Guidance
- Paper Publication Opportunity
- Self Assessment
- Final Examination
- e-Certification
- e-Marksheet
Future Career Prospects
- Leadership in Data-Driven Strategies: Opportunities to lead initiatives and teams focused on data-driven decision-making.
- High Demand in Analytics: Growing need for professionals skilled in advanced analytics across sectors.
- Innovation through Analytics: Potential to drive innovation in products, services, and processes through insightful data analysis.
- Global Opportunities: Skills applicable in global markets and across various industries.
- Strategic Consulting Roles: Increasing demand for analytics experts in consulting roles.
- Technology Development: Opportunities to contribute to the development of new analytical tools and technologies.
- Cross-Functional Impact: Ability to work across multiple departments, enhancing business operations through analytics.
- Policy and Planning: Roles in shaping organizational or governmental policy using data insights.
Job Opportunities
- Data Scientist
- Business Analyst
- Predictive Analyst
- Machine Learning Engineer
- Strategic Decision Maker
- Big Data Specialist
- Risk Manager
- Analytics Consultant
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