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Diploma in Data Analytics & Visualisation – DDAV

Diploma in Data Analytics

Table of Contents

Diploma in Data Analytics & Visualisation course is designed to help you use Reports and Analytics to find answers to your business questions. You will learn how the reporting interface and navigation work, how to run reports to get the answers you are looking for and how to configure reports for effective decision-making.

Prerequisites:

  • Basic Knowledge of Computers
  • Advance Excel
  • Create Excel templates
  • Create Dynamic Reports
  • Automate Complex Reports
  • Create Interactive Dashboards
  • Design a database to support all Reporting requirements
  • Create Reports using BI tools like Tableau and Power BI
  • Data Manipulation
  • Data Modelling
  • Data Analysis with Statistics
  • Data Communication with Information Visualization
  • Data at Scale
  • Advanced File Tasks
  • Working with Functions and Formulas
  • Managing Tables in Microsoft Excel
  • Data Tools in Excel
  • Prerequisites: Basic Knowledge of Computers
  • Advance Excel
  • Sparkline
  • Grouping & Outlining and Subtotals
  • What-If Analysis
  • Advanced PivotTables & Charts, slicers
  • Creating HLOOKUP and VLOOKUP Functions
  • Advanced Conditional Formatting
  • Advanced Lookup and Reference Functions
  • Advanced Functions in Excel
  • Power Pivot
  • Introduction to Excel Dashboards
  • Excel Table in Dashboards
  • Using Custom Number Formatting
  • Using Symbols in Excel Dashboards
  • Conditional Formatting for Dashboards
  • Sparklines in Excel Dashboards
  • Data ready for Excel Dashboards
  • Excel Dashboard formulas
  • Excel Charts for Dashboards (Advance Concept)
  • Understanding Raw Data
  • Understanding Reporting
  • Creating Calculation Sheets
  • Working With Charts and Tables
  • Reports using Advanced Charting Techniques
  • Reports Using Pivot Table, Pivot Charts
  • Macro recording
  • Visual Basic Editor
  • Understanding Objects, Methods, Properties and Variables
  • Control Structures-Decision
  • Looping Structures
  • User Forms and GUI
  • Worksheet / Workbook Operations
  • Error Handling
  • Getting Started with Access
  • Working with Table Data
  • Querying a Database
  • Using Forms
  • Generating Reports
  • Sharing Data Across Applications
  • Designing a Relational Database
  • What is Power BI
  • Installing Power BI Desktop
  • Exploring the Power BI Workflow
  • Connecting to different sources
  • Different connecting Options
  • Shaping and transforming data with Power Query
  • Editing, Merging, Appending queries etc.
  • Introduction to Modeling
  • Building Relational Models
  • Creating table relationships
  • Understanding the filter flow
  • Cardinality and Cross filtering
  • Understanding DAX Syntax
  • DAX calculation types
  • DAX functions
  • Using variables in DAX expressions
  • Table relationships and DAX
  • DAX tables and filtering
  • Understanding Working
  • Architecture & Data Model
  • Data Connection & Joins
  • Working with multiple data sources
  • Measures and dimension
  • Shelves
  • Show Me
  • Data Types
  • Default Properties
  • Marks Card
  • Page Shelf
  • Difference between .twb and .twbx
  • Discrete vs Continuous
  • Date Aggregations and Date parts
  • Cross tab
  • Totals & Subtotals
  • Bar Charts & Stacked Bars
  • Pie Charts
  • Line Graph with Date
  • Line Graph without Date
  • Area charts
  • Tree Map
  • Word Cloud
  • Packed Bubble
  • Box & Whiskers Plot
  • Scatter Plots
  • Highlight tables
  • Heat maps
  • Geographical fields
  • Map options
  • Calculated Fields
  • String Calculation
  • Data Calculation
  • Logical Calculation
  • Numeric Calculation
  • Parameters
  • Legends
  • Highlights
  • Labeling
  • Number Formats
  • Sorting
  • Groups
  • Sets
  • Hierarchy
  • Reference and Trend Lines
  • Edit Axi
  • Bins
  • Dimension Filter
  • Measure Filter
  • Filter – Display Option
  • Context Filters
  • Relevant Filters
  • Sets in filters
  • Conditional Filters
  • Waterfall
  • Funnel
  • Dashboards Objects
  • Dashboard Actions
  • URL
  • Highlight
  • Filter
  • Publish to Web
  • Databases
  • Introduction to DBMS
  • Popular DBMS Software
  • Concepts of RDBMS
    • Tables
    • Tuples
    • Attributes
  • Normalization
    • First Normal Form
    • Second Normal Form
    • Third Normal Form
  • NOSQL Databases
    • Types of NOSQL
  • Comparison
  • Types of SQL Commands
  • Data Definition Language
    • Create, Drop, Truncate, Alter and Rename Objects
  • Data Query Language
    • Select Statements
  • Data Manipulation Language
  • DCL and TCL
    • Grant, Revoke and transaction statements
  • SQL Data Types
    • Numeric, Date and Time, LOB Types
  • DML Commands
    • Insert, Update and Delete Statements
  • DDL Commands
    • Create and Drop Databases
  • Types of Constraints
    1. Relational Integrity Constraints
    2. Key Constraints
    3. Domain Constraints
    4. Referential Integrity
  • Types Of Constraints
    1. Primary and Foreign Keys
    2. Application of Indexes
    3. Checking Constraints
  • SQL Transactions
    • Examples
  • ACID Properties
  • TCL Statements
    • Start, Commit and Rollback Statements
  • Auto Commit
  • Save Points
    • Identifier
    • Rollback and Release
  • Tables
    • Creating, Altering and dropping tables
  • Sequences
    • Auto Increments
    • Re-Sequencing
  • Views
    • Advantages
    • Creating and Dropping Views
  • Indexes
    • Types of Indexes
    • B-Tree and Hash Indexes
    • Creating and dropping Indexes Top of Form

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