Welcome! You’re using the beta version of our site

Professional Courses

Advanced Data Science (Power BI / Tableau)

The Advanced Data Science (Power BI / Tableau) program is a comprehensive, hands-on course designed for students and professionals seeking expertise in data analytics, visualisation, and business intelligence. The course focuses on practical applications of Power BI and Tableau, empowering learners to convert raw data into actionable insights for data-driven decision-making. Through self-paced classes, live projects, and case-based learning, participants will master advanced analytics techniques, interactive dashboard design, data storytelling, and automation workflows. The program aligns with industry standards for modern data professionals, preparing learners to drive business value using cutting-edge visualisation and analytical tools. Certification Partner: CPD, UK

120 Tech Enthusiasts & more

About this program

  • Module 01: Foundations of Data Science for BI

    Introduction to Data Science Workflow – Data Collection → Cleaning → Analysis → Visualization → Insights Data Types & Structures – Structured, semi-structured, unstructured Relational Databases & SQL Essentials (joins, subqueries, aggregations) ETL Concepts & Pipelines – Extract, Transform, Load fundamentals Data Quality & Governance – Missing values, outliers, metadata, security Python/R Refresher for BI – Pandas, Numpy, basic stats for dashboard input

  • Module 02: Business Intelligence Concepts

    What is BI vs. Traditional Reporting vs. Data Science KPIs & Metrics Design – aligning business goals with measurable outcomes Data Modeling for BI – Star & Snowflake schemas, normalization/denormalization Data Warehousing Basics – Fact & Dimension tables, OLAP cubes Cloud-based Data Sources – Azure, AWS Redshift, Google BigQuery connectors Intro to APIs for Data Ingestion

  • Module 03: Power BI – Advanced Analytics

    Power Query Editor & M Language – advanced data prep, custom transformations Data Modeling in Power BI Desktop – relationships, hierarchies, calculated tables Advanced DAX (Data Analysis Expressions) Calculated columns & measures Time-intelligence functions Dynamic filtering & ranking Row-level Security (RLS) & Data Roles Custom Visuals & Marketplace Extensions Optimizing Data Models for Performance Power BI Service & Cloud Collaboration Power Automate & Integration with Excel / Teams

  • Module 04: Tableau – Advanced Analytics

    Data Connections & Joins/Blends with multiple sources Data Preparation using Tableau Prep Advanced Calculated Fields & Table Calculations Parameters & Dynamic Dashboards LOD (Level-of-Detail) Expressions – INCLUDE, EXCLUDE, FIXED Advanced Visualizations: Sankey, Gantt, Waterfall, Funnel, Geospatial maps Storytelling Dashboards & Design Best Practices Performance Optimization in Tableau Tableau Server & Online Publishing, Permissions & Scheduling

  • Module 05 : Statistical & Predictive Analytics

    Exploratory Data Analysis (EDA) for BI projects Descriptive & Inferential Statistics in BI – mean, variance, hypothesis testing Regression & Forecasting Models in Power BI/Tableau Clustering & Segmentation (K-Means, Hierarchical) Anomaly Detection & Outlier Analysis Time-Series Analysis & Trend Forecasting (ARIMA, ETS) Integration with Python/R Scripts in Power BI & Tableau

  • Module 06: Data Engineering & Automation

    Connecting to APIs, Web Data, JSON/XML Incremental Data Refresh & Scheduled Pipelines Data Lakes & Big Data Connectors (Spark, Hadoop, Snowflake) Automating Data Workflows with Power Automate & Tableau Prep Flows Version Control & Collaboration (Git/GitHub for BI) CI/CD in BI Projects

  • Module 07: Governance, Security & Compliance

    Data Privacy Regulations (GDPR, HIPAA, DPDP Act) Row-Level and Object-Level Security Audit Trails & Compliance Dashboards Performance Monitoring & Optimization Documentation & Metadata Management for Dashboards

  • Module 08: Capstone Projects & Industry Use-Cases

    Retail Sales Forecasting Dashboard – demand & seasonal analysis Financial KPI Executive Dashboard – cashflow, P&L, risk analysis Healthcare Analytics – patient flow, resource utilization, predictive alerts Marketing Campaign Effectiveness Dashboard – customer segmentation & ROI Supply Chain Performance & Predictive Maintenance Geo-Spatial Dashboard – delivery route optimization Final Capstone: End-to-end BI project with Power BI & Tableau (data ingestion → modeling → visualization → automation → storytelling report)

What you'll learn

  • Develop advanced data modelling and visualization skills using Power BI & Tableau.
  • Interpret datasets to generate actionable business insights.
  • Build interactive dashboards for performance tracking and decision support.
  • Apply data storytelling techniques for analytical presentations.

Tools you'll master

Power BI Tableau Excel Analytics DAX and Power Query SQL for Data Analytics

Meet your instructors

Author and Director

{first_instructor.get(

Mr. Joydeep Mukherjee

Who is this for?

Tech Enthusiasts, Data Scientists, Developers