Mentor Based
Data Visualization and BI
Transforming Data into Actionable Insights with Advanced Visualization and BI Tools
Early access to e-LMS included
About This Course
The Data Visualization and Business Intelligence (BI) program provides hands-on training in data visualization, dashboard creation, and BI reporting. Participants will learn to use tools like Power BI, Tableau, Google Data Studio, and Python visualization libraries to develop interactive and insightful dashboards. The course also covers data storytelling, KPI tracking, and real-time analytics for business applications.
Aim
To equip participants with data visualization techniques and business intelligence (BI) tools to analyze, interpret, and present data for data-driven decision-making in organizations.
Program Objectives
- To introduce participants to data visualization principles and BI concepts.
- To provide hands-on training with BI tools and Python visualization libraries.
- To develop skills in data storytelling and real-time reporting.
- To explore KPI tracking and predictive analytics for business applications.
- To prepare professionals for careers in business intelligence and analytics.
Program Structure
Week 1: Fundamentals of Data Visualization and BI
Module 1: Introduction to Data Visualization and BI
- What is Data Visualization?
- Importance of visualization in data analytics.
- Difference between Data Visualization and Business Intelligence.
- Understanding Business Intelligence (BI)
- BI vs. Traditional Reporting.
- BI applications in business decision-making.
- Key Data Visualization Concepts
- Data types: Categorical, numerical, time series.
- Principles of effective visualization (clarity, simplicity, accuracy).
Hands-On Lab:
- Exploring sample datasets and selecting appropriate visualization types.
Module 2: Introduction to BI Tools and Data Preparation
- Overview of BI and Visualization Tools
- Power BI, Tableau, Google Data Studio, Looker, Excel.
- Data Cleaning and Preparation
- Data sources: Excel, SQL databases, APIs.
- ETL (Extract, Transform, Load) process.
Hands-On Lab:
- Connecting Power BI/Tableau to a dataset and cleaning the data.
Week 2: Advanced Data Visualization Techniques
Module 3: Building Effective Dashboards
- Dashboard Design Principles
- Storytelling with data.
- Best practices for interactive dashboards.
- Creating Visualizations
- Bar charts, line charts, scatter plots, heatmaps, geospatial maps.
Hands-On Lab:
- Designing an interactive dashboard in Power BI/Tableau.
Module 4: Advanced BI Analytics and Performance Optimization
- Applying Advanced BI Techniques
- Calculated fields and custom metrics.
- Time-series analysis and forecasting.
- Optimizing BI Reports for Performance
- Data aggregation, indexing, and caching strategies.
Hands-On Lab:
- Implementing time-series forecasting and performance tuning in BI tools.
Week 3: BI Automation, Reporting, and Real-World Applications
Module 5: Automating Reports and Data Pipelines
- Automating BI Workflows
- Scheduled data refreshes and alerts.
- Data pipelines with Python and SQL.
- Integrating BI with Other Systems
- Connecting BI tools to cloud databases, APIs, and enterprise systems.
Hands-On Lab:
- Automating report generation and email alerts in Power BI/Tableau.
Module 6: Real-World BI Use Cases and Future Trends
- BI in Different Industries
- Retail, finance, healthcare, marketing, and supply chain analytics.
- Future of Data Visualization and BI
- AI-driven insights, NLP for BI (chatbots, auto-generated reports).
Hands-On Lab:
- Creating a BI solution for a real-world business problem.
Who Should Enrol?
- Data analysts and business intelligence professionals
- Marketing, sales, and finance professionals handling data reports
- IT professionals working on data visualization and dashboarding
- Students and researchers in data science and analytics
Program Outcomes
- Mastery of data visualization tools like Power BI, Tableau, and Python
- Hands-on experience in creating dashboards and reports for real-world applications
- Understanding of data-driven decision-making and BI best practices
- Knowledge of KPI tracking, real-time analytics, and cloud BI solutions
- Readiness for BI certifications (Tableau, Power BI, Google Data Analytics)
Fee Structure
Standard: ₹16,998 | $224
Discounted: ₹8,499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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