Data Analytics Workshop Syllabus and Delivery Plan by VigorEdTech

Workshop Overview:

This workshop is designed to provide participants with foundational and advanced knowledge in data analytics. The program emphasizes practical skills for collecting, processing, analyzing, and visualizing data to derive actionable insights. It is tailored for students, professionals, and business leaders aiming to make data-driven decisions.

Syllabus:

Module 1: Introduction to Data Analytics

• What is Data Analytics?


• Importance of Data Analytics in Decision Making


• Types of Analytics: Descriptive, Diagnostic, Predictive, and Prescriptive


• Tools and Technologies in Data Analytics

Module 2: Data Collection and Preparation

• Data Sources: Structured vs Unstructured Data


• Data Cleaning and Transformation


• Handling Missing Values and Outliers


• Introduction to Data Warehousing and ETL Processes

Module 3: Data Exploration and Visualization

• Exploratory Data Analysis (EDA) Techniques


• Visualization Tools:
  
  
  
  • Microsoft Excel
  
  
  • Tableau
  
  
  • Power BI
  
  
  • Python Libraries: Matplotlib, Seaborn, Plotly
  
  
  
  


• Dashboard Design Principles

Module 4: Statistical Analysis

• Descriptive Statistics (Mean, Median, Variance, etc.)


• Inferential Statistics (Hypothesis Testing, Confidence Intervals)


• Correlation and Regression Analysis


• Understanding Key Metrics and KPIs

Module 5: Introduction to Business Intelligence (BI)

• BI Tools and Platforms


• Creating Interactive Dashboards


• Case Study: Building a Sales Dashboard

Module 6: Advanced Data Analytics Techniques

• Predictive Analytics Overview
  
  
  
  • Forecasting Techniques
  
  
  • Time Series Analysis
  
  
  
  


• Introduction to Machine Learning in Data Analytics
  
  
  
  • Clustering and Classification Basics
  
  
  • Tools: Scikit-learn, Weka
  
  
  
  

Module 7: Data Storytelling and Presentation

• Importance of Data Storytelling


• Crafting a Data Narrative


• Best Practices for Presenting Data Insights


• Case Study: Presenting Analytics to Stakeholders

Module 8: Ethics and Future of Data Analytics

• Data Privacy and Compliance (GDPR, HIPAA)


• Ethical Considerations in Data Usage


• Emerging Trends: Real-Time Analytics, AI in Analytics

Delivery Plan:

Duration:

• Total Workshop Duration: 24 Weeks


• weekly Sessions: 4 hours 

Mode of Delivery:

• Online (via Virtual Classroom) or In-person

Methodology:

• Interactive Sessions: Live lectures with Q&A


• Hands-on Practice: Data analysis projects using real-world datasets


• Group Activities: Collaborative case studies and problem-solving exercises


• Assessments: End-of-workshop quiz and final project presentation

Resources Provided:

• Study Materials: PDFs, eBooks, and Video Tutorials


• Access to Tools: Tableau, Power BI, and Python-based Jupyter Notebooks


• Recorded Sessions for Revision

Certification:

• Participants who complete the workshop and submit the final project will receive a certificate of completion.

Additional Features:

• Mentorship: One-on-one sessions with data analytics experts


• Community Access: Join a network of analytics professionals and learners


• Career Guidance: Resume building, interview preparation, and job referrals

Target Audience:

• Students and professionals interested in Data Analytics


• Business analysts and decision-makers


• Entrepreneurs looking to harness data insights for their businesses

For inquiries, visit vigoredtech.in or contact us directly.