Self Paced

Analytics for Data-Driven Decisions

Data-Driven Decisions equips participants with advanced analytics skills to optimize decision-making processes across various industries.

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MODE
e-LMS
TYPE
Self Paced
LEVEL
Moderate
DURATION
3 Months

About

This program delves into the critical role of data analytics in contemporary business environments. Participants will learn to harness and interpret complex data sets to make informed, strategic decisions. The course covers statistical analysis, predictive modeling, data visualization, and the application of machine learning techniques in real-world scenarios.

Aim

The aim of Data-Driven Decisions: Unleashing the Power of Analytics is to equip participants with the ability to utilize advanced analytics techniques effectively, enabling them to make informed, strategic decisions across various sectors. The program focuses on enhancing analytical skills, predictive modeling, and data visualization to drive business success.

Program Objectives

  • Master statistical and predictive analytics to forecast outcomes.
  • Develop proficiency in using data visualization tools to interpret and present data.
  • Learn to apply machine learning algorithms to solve business problems.

Program Structure

Module 1: Introduction to Data-Driven Decision Making

  • Section 1: Understanding Data-Driven Decisions
    • Definitions and Key Concepts in Data Analytics
    • The Importance of Data-Driven Decision Making in Modern Businesses
  • Section 2: The Analytics Process
    • Overview of the Analytics Lifecycle from Data Collection to Decision Making
    • Integrating Data-Driven Culture in Organizations

Module 2: Data Collection and Management

  • Section 1: Effective Data Collection Strategies
    • Methods for Data Collection: Quantitative and Qualitative Techniques
    • Ensuring Data Quality and Integrity
  • Section 2: Data Storage and Organization
    • Database Management Systems and Data Warehousing
    • Best Practices for Data Governance and Compliance

Module 3: Statistical and Quantitative Analysis

  • Section 1: Basics of Statistical Analysis
    • Descriptive Statistics and Inferential Statistics
    • Hypothesis Testing and Regression Analysis
  • Section 2: Advanced Quantitative Methods
    • Predictive Modeling and Machine Learning Basics
    • Time Series Analysis and Forecasting Techniques

Module 4: Data Visualization and Interpretation

  • Section 1: Principles of Data Visualization
    • Designing Effective Charts, Graphs, and Dashboards
    • Tools and Software for Data Visualization (e.g., Tableau, Power BI)
  • Section 2: Interpreting Data Insights
    • Techniques for Extracting Meaningful Insights from Data
    • Storytelling with Data to Influence Decision Making

Module 5: Implementing Analytics Solutions

  • Section 1: Building Analytical Models
    • Creating and Validating Models to Support Business Decisions
    • Integration of AI and Machine Learning in Analytical Processes
  • Section 2: Analytics in Action
    • Case Studies on Successful Data-Driven Decisions
    • Sector-Specific Applications (Finance, Marketing, Healthcare, etc.)

Module 6: Challenges and Ethical Considerations

  • Section 1: Navigating Challenges in Analytics
    • Addressing Common Analytical Challenges: Data Silos, Skill Gaps
    • Ensuring Scalability and Sustainability of Analytical Models
  • Section 2: Ethics and Data Privacy
    • Ethical Considerations in Data Use
    • Regulations and Best Practices for Data Privacy and Security

Final Assessment and Project

  • Capstone Project:
    • Developing and Presenting a Data-Driven Project to Address a Real Business Challenge
  • Final Examination:
    • Comprehensive Test to Evaluate Understanding and Application of Analytical Techniques

Participant’s Eligibility

  • Students, PhD scholars, academicians, and industry professionals interested in data science and analytics.
  • Business analysts, data scientists, and managers looking to enhance their decision-making capabilities.
  • Professionals across industries seeking to leverage data for strategic advantages.

Program Outcomes

  1. Statistical Analysis Proficiency: Master techniques in statistical analysis to understand data trends and patterns.
  2. Predictive Modeling Skills: Develop skills in creating predictive models for forecasting and strategic planning.
  3. Data Visualization Expertise: Learn to effectively present data through visual storytelling.
  4. Machine Learning Implementation: Apply machine learning techniques to automate and improve decision processes.
  5. Strategic Decision Making: Enhance ability to make informed decisions based on robust data analysis.
  6. Data Management: Acquire skills in managing and securing data integrity.
  7. Cross-Functional Collaboration: Develop the ability to work across different departments to integrate analytics into business processes.

Fee Structure

Standard Fees: INR 4,998        USD 198

Discounted Fee: INR 2499        USD 99   

Batches

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Summer
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Certificate

Skillzip Program 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 Strategy: Opportunities to lead data-driven projects and strategy initiatives.
  • Advanced Analytics Roles: High demand for advanced analytics expertise in various sectors.
  • Innovation through Data: Roles in developing new data-driven products and services.
  • Global Business Analysis: Opportunities to work on international data analysis projects.
  • Consultancy and Advisory: Growing need for consultants with expertise in data analytics.
  • Cross-Industry Applications: Transferable skills applicable in healthcare, finance, technology, and more.
  • Academic and Research Opportunities: Positions in research institutions and universities focusing on data analytics.
  • Entrepreneurial Ventures: Potential to start businesses focused on data analytics services.

Current Participants* Analytics

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Note: The information shown in the above-mentioned analytics is live and may include information that is not completely correct like spelling mistakes, grammatical mistakes , factual errors or even mis representation as this is what participants have entered, the information is currently not edited and or filtered , but at later stages they will be filtered to provide true data representation.

Job Opportunities

  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Predictive Analyst
  • Business Intelligence (BI) Developer
  • Machine Learning Engineer
  • Operations Analyst
  • Strategy Consultant

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


 

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