Data analytics helps businesses understand performance, identify trends and make informed decisions using data. Organisations use reports, dashboards and business intelligence tools to analyse sales, customers, operations and financial performance.
Our Data Analytics Course in Coimbatore introduces learners to Microsoft Power BI, data preparation, data transformation, data modelling, DAX, interactive reports and dashboard development. The syllabus follows a structured learning path from Power BI Desktop fundamentals to Power BI Service and data connectivity.
Through guided exercises and practice datasets, learners can understand how to transform raw data, establish relationships, create calculations and communicate findings through visual reports. The training syllabus also covers working with Excel, SQL databases and supported data sources.
Power BI Fundamentals: Understand Power BI Desktop, its interface, installation, settings and available data connectors.
Data Transformation: Learn how to clean, filter, combine and reshape datasets using the Power Query Editor and M queries.
Data Modelling and DAX: Explore relationships, fact and dimension tables, calculated columns, measures, filter context and common DAX functions.
Interactive Dashboards: Learn to create charts, tables, maps, slicers, KPI cards, bookmarks and drillthrough reports.
Power BI Service: Understand dashboard sharing, publishing, refresh settings, notifications and row-level security.
Business Intelligence Skills: Build a foundation for analysing business performance and presenting findings through data-driven reports.
This course can be explored by college students, fresh graduates, IT professionals, commerce graduates, management graduates and working professionals who want to develop data analysis and reporting skills. Contact our team to confirm the appropriate starting level for your background.
Depending on your existing qualifications, practical knowledge and project experience, relevant career paths may include Data Analyst, Power BI Developer, Reporting Analyst and Business Intelligence Analyst.
Explore the complete Power BI syllabus, covering Desktop fundamentals, data transformations, data modelling, DAX, report visualization, Power BI Service, Excel and direct connectivity.
Overview of Power BI
Installation
Settings
Types of Data Connectors
The Query Editor
Loading Data
Sorting a Column or Data
Date Filter
Text Filter
Date Transformation Columns
Remove Top Rows and Promote Headers
Keep Errors and Remove Errors
Replace Values and Errors
Add Index Number
Text to Column
Remove Excess Space
Time Transformation
Fill Down and Fill Up
Change Text to Upper, Lower and Proper Case
Creating Custom Columns
Using IF Statement
Try Otherwise Statement
Rename Steps and Describe the Query
Introduction to M Queries and Variables
Working with Table Functions
Extract Columns from Tables
Extract Rows from Table
Extract a Single Value from Tables
Group By Feature
Adding Conditional Formulas
Table Expansions
Adding Rank to Customise Table
Appending Query
Merge Query – All Joins
Combine All Worksheets in a Workbook
Combine All Workbooks from Folder
Data Source Settings
Query Refresh Settings
Pivot and Unpivot
User Function
Adding Parameter
Introduction to Data Modelling
Data Normalization
Fact Tables vs Dimension Tables
Managing Data Relationships
Relationships vs Merged Tables
Snowflake vs Star Schemas
Active vs Inactive Relationships
Understanding Filter Flow
Two-way Filters
Hiding Fields and Tables
Creating Calculated Columns
Creating Calculated Measures
Implicit vs Explicit Measures
Filter Context
DAX Syntax and Operators
Basic Date and Time Functions
Logical Functions
Text Functions
Joining Data with RELATED
CALCULATE and ALL Functions
CALCULATE and FILTER Functions
Creating and Managing Hierarchies
Using Calculated Tables
Time Intelligence
Manually Typing in a Data Table
Include and Exclude
Introduction to Report View
Adding Simple Objects
Inserting Basic Charts and Visuals
Hierarchical Axis and Concatenating
Analytics Pane
Formatting Options
Focus Mode and See Data
Map and Filled Map
ESRI Map
Waterfall Chart
Report Filtering Options
Table and Matrix Visuals
Date Slicers
Cards and KPIs
Text Cards
Treemaps
Line and Area Charts
Trend Lines and Forecasts
Gauge Charts
Editing Report Interactions
Adding Drillthrough Filters
Adding Report Bookmarks
What-if Parameters
Managing and Viewing Roles
Overview of Dashboards and Power BI Service
Uploading to Power BI Service
Quick Insights
Configuring a Dashboard
Adding Textbox and Image Widgets
Featured and Favorite Dashboard
Filtering Dashboard
Dashboard Settings
Natural Language Queries
Featured Questions
Sharing a Dashboard
In-Focus Mode
Pinning a Live Page
Custom URL and Title
TV Mode and Collapse Navigation
Printing Dashboard and Exporting Data
Export to CSV and Excel
Power BI Notifications
Alerts in the Power BI Service
Personal Gateway
Publishing to Web
Admin Portal
Introduction to Power BI Mobile
Scheduled Refresh
Row-level Security
Importing Excel Data Using Simple Table
Excel Workbook with Excel Data Model
Connecting to Excel Workbook on OneDrive for Business
Pinning Excel Tables or Visuals
Analysing Data in Excel
Direct Connectivity to SQL Azure
Direct Connectivity to SQL Database
Interactive API Console
Connecting a Web Page
Connecting with PDF
Contact Refinement Software Solutions to enquire about the Data Analytics Course in Coimbatore, detailed syllabus, course fees, available batches and training options. Our team can help you understand the course structure and choose a learning path suited to your goals.
Our online course aims to improve coding abilities through group projects led by teachers and other participants.
Gain comprehensive of a subject by understanding its WHAT, WHY, and HOW aspects, simplifying the subject matter for in-depth comprehension.
Engage in discussions, ask questions, and seek clarifications from our certified instructors with extensive experience in the subject matter.
Experienced industry practitioners mentor with over ten years of experience. Provide timely reviews and feedback on assignments and projects.
Our Course curriculum undergoes multiple levels of design and preparation by experts to ensure relevance to daily technological changes.
Our learning methods offer the best classroom training and online learning. And our courses designed to meet individual needs and preferences.