Data Analysis Fundamentals

Empowering Scholars with Advanced Analytical Expertise

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
3 Weeks

About

The Advanced Data Analysis Fundamentals program is meticulously designed for academicians and researchers who wish to elevate their analytical capabilities. This course delves deep into statistical methods, predictive analytics, and big data technologies, empowering participants to lead data-centric projects and innovate in their respective fields.

Aim

This program aims to equip PhD scholars and academicians with deep analytical skills and advanced techniques in data analysis. It focuses on the sophisticated methods needed to interpret complex datasets and translate them into actionable insights, fostering data-driven decision-making in academic and applied research settings.

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Program Objectives

Develop proficiency in handling and analyzing large and complex datasets.
Master the use of advanced statistical methods and predictive analytics.
Implement big data solutions for real-time and scalable data analysis.
Foster ethical practices in data management and analysis.
Enhance ability to communicate analytical findings effectively to influence decision-making.

Program Structure

Foundational Statistics for Data Analysis
- Advanced statistical theories and applications
- Multivariate statistical methods
- Bayesian data analysis techniques
Predictive Analytics and Machine Learning
- Regression analysis and predictive modeling
- Machine learning algorithms for data prediction
- Evaluation metrics for model performance
Big Data Technologies
- Tools and techniques for managing big datasets
- Introduction to Hadoop and Spark ecosystems
- Real-time data analysis frameworks
Data Visualization and Interpretation
- Advanced visualization tools and techniques
- Interactive dashboards and data storytelling
- Visualizing high-dimensional data
Data Ethics and Governance
- Data privacy, security, and ethical use
- Regulatory compliance and data governance
- Bias, fairness, and accountability in data analysis
Capstone Project
- Application of advanced data analysis in a real-world research project
- Presentation and critical review of findings

Participant’s Eligibility

Designed for PhD scholars and academicians in fields like Statistics, Computer Science, Economics, or any related discipline requiring advanced data analysis skills.

Program Outcomes

Advanced Statistical Analysis
Predictive Modelling Expertise
Big Data Handling
Ethical Data Practice
Effective Data Communication

Fee Structure

Standard Fee: INR ~~4,998~~ USD 78

Discounted Fee: INR 2499 USD 39

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
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.