Data Visualisation Tools
Data visualization tools play a vital role in data analysis by transforming complex datasets into intuitive and easily understandable visual formats like charts, graphs, and dashboards. These tools help analysts and decision-makers quickly identify patterns, trends, and outliers that may not be evident in raw data. By simplifying the interpretation process, visualization tools enhance communication, support real-time decision-making, and promote data-driven strategies across organisations. Tools such as Tableau, Power BI, and Excel enable interactive exploration of data, allowing users to drill down into details and uncover valuable insights. Effective visualisations make data more accessible and actionable for all stakeholders.
Omegatech.ai
5/8/20241 min read
Power BI (Concepts): (50 Hr)
Introduction to Power BI:
Overview of Power BI, its components (Power BI Desktop, Power BI Service, etc.), and its role in business intelligence.
Data Sources and Connections:
Learning how to connect to different data sources (Excel, databases, cloud services).
Data Modeling:
Understanding how to structure and organize data in Power BI, including relationships between tables.
Data Transformation (Power Query):
Using Power Query Editor to clean, shape, and transform data for analysis.
Data Visualization:
Creating various charts, graphs, and other visualizations to represent data effectively.
Report and Dashboard Creation:
Building interactive reports and dashboards that provide insights into data.
Power BI Service:
Learning how to publish, share, and collaborate on reports and dashboards in the Power BI cloud service.
Advanced Topics:
DAX (Data Analysis Expressions): Learning the DAX language to create calculated columns and measures for advanced calculations.
Power BI Administration and Security: Understanding how to manage users, roles, and permissions within Power BI.
Advanced Data Modeling: Exploring more complex data modeling techniques.
Integration with other Microsoft products: Understanding how Power BI integrates with other tools like Excel and Azure.
Best Practices: Learning how to design effective reports and dashboards that are easy to understand and use.
Tableau Concepts: (50 Hr)
Introduction to Tableau
Analyzing Data in Tableau
Creating Dashboards in Tableau
Connecting Data in Tableau
Data Visualization in Tableau
Case Study: Analyzing Customer Churn in Tableau
Statistical Techniques in Tableau
Calculations in Tableau
Time Series Analysis In Tableau
Looker Studio Concepts: (20 Hr)
Introduction
Chats and bars for data visualisation
Data Connectors
Calculations In Looker Studio
Creating Dimension and Metrics In Looker Studio
Marketing Cloud Intelligence (Datorama) : 30 Hr
Introduction
Data Visualisation
Data Load Rules
Harmonisation and Classification
Data Patterns
Mapping
Data Stream Creation
Data Load Modes
Reports Creation
Pivot Table Build and Analysis