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Power BI

Master Data Visualization with our Power BI Course in Malviya Nagar

Take your data analysis skills to the next level with our Power BI Course in Malviya Nagar, Delhi. NIPSTec, a premier institute for data science and analytics training, offers an extensive course on Power BI that equips you with the skills needed to transform complex data into insightful visualizations and interactive dashboards.
Our Microsoft Power BI course covers all the critical aspects of Power BI, including data modeling, data transformation, DAX (Data Analysis Expressions), report building, and dashboard creation. Learn from seasoned professionals in a practical, hands-on learning environment where you’ll gain valuable experience with real-world datasets.
Located in the heart of Malviya Nagar, our offline Power BI classes offer a convenient learning option for students and professionals throughout Delhi. With face-to-face instruction, you'll benefit from direct interaction with instructors, instant feedback, and the opportunity to collaborate with your peers.
Start your journey towards becoming a data visualization expert by enrolling in our Power BI course today!

Key Highlights:

Comprehensive Curriculum: Our Power BI course is designed to cater to both beginners and professionals, covering everything from basic to advanced topics. Whether you're new to data visualization or looking to upgrade your skills, our course provides a complete learning experience.
Hands-On Learning: Experience practical learning with our Power BI training that includes hands-on projects, real-world case studies, and interactive exercises. Work with real datasets and learn how to create compelling reports and dashboards that provide actionable insights.
Certification: Upon successful completion of the course, you will receive a certificate. This certification will validate your expertise and enhance your resume, making you a more attractive candidate for data analysis and business intelligence roles.
Networking Opportunities: Connect with fellow learners and industry experts who share your passion for data visualization. Our classroom environment encourages collaboration and networking, helping you build valuable professional relationships in the field of data analytics.

Take the next step in your career with the best Power BI course in Delhi. Enroll now at NIPSTec and turn your passion for data into a powerful professional skill!

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NIPSTec Advantages

Live Projects

Online / Webinar

Audio-Visual Aids

Latest Curriculum

Classroom Training

Excellent Feedback

Free Counselling &
Placement Assistance

Easy to Learn
Pedagogy

State-of-the-Art
Infrastructure

After Training
Support

Well Equipped
Library

Experienced &
Qualified Trainer

Key Learnings - Power BI

Introduction to Power BI

Introduction to Power BI - Need, Imprtance.

Power BI - Advantages and Scalable Options.

History - Power View, Power Query, Power Pivot .

Business Analyst Tools, MS Cloud Tools.

Power BI Installation and Cloud Account.

Power BI Cloud, service, architecture and Data Access.

Sample Reports and Visualization Controls.

Creating Power BI Reports, Auto Filters

Report Design with Database Tables L

Understanding Power BI Report Designer

Report Canvas, Report Pages: Creation, Renames

“GET DATA“ Options and Report Fields, Filters

Report Design using Databases & Queries

Building Home Page & Blog Section

Stacked bar chart, Stacked column chart, Clustered bar chart, Clustered column chart

Report Visualizations and Properties

Power BI Design: Canvas, Visualizations and Fields.

Import Data Options with Power BI Model, Advantages .

Creating Customised Tables with Power BI Editor.

Alternate Text and Tiles. Header (Column, Row) Properties.

Table Styles & Alternate Row Colours - Static, Dynamic.

Sparse, Flashy Rows, Condensed Table Reports. Focus Mode .

Column Headers, Column Formatting, Value Properties.

Chart and Map Report Properties

stacked bar chart, stacked column chart, clustered bar chart, clustered column chart .

line charts, area charts, stacked area charts .

line and stacked row charts, line and stacked column charts.

Waterfall chart, scatter chart, pie chart .

Field Properties: Axis, Legend, Value, Tooltip, Colour Saturation, Filters Types .

Data Labels: Visibility, Colour and Display Units, Precision, Position, Text Options .

Hierarchies and Drilldown Reports

Hierarchies and Drilldown Options.

UHierarchy Levels and Drill Modes - Usage.

Drill-thru Options with Tree Map and Pie Chart .

Higher Levels and Next Level Navigation Options.

Multi Field Aggregations and Hierarchies in Power BI.

Toggle Options with Tabular Data. Filters.

Drilldown Buttons and Mouse Hover Options @ Visuals.

Power Query & M Language - Part 1

Understanding Power Query Editor - Options.

Power BI Interface and Query / Dataset Edits.

Working with Empty Tables and Load / Edits.

Data Imports and Query Marking in Query Editor.

Query Rename, Load Enable and Data Refresh Options.

REPLACE, REMOVE ROWS, REMOVE COL, BLANK - M Lang.

Column Splits and FilledUp / FilledDown Options.

Creating Query Groups and Query References. Usage .

Power Query & M Language - Part 2

Invoke Function and Freezing Columns.

Creating Reference Tables and Queries.

Detection and Removal of Query Datasets.

Blank Queries and Enumeration Value Generation.

Append data in different data sources Merge data from multiple Excel files/ or different data sources.

Blank Queries and Enumeration Value Generation.

DAX Expressions

DAX EXPRESSIONS

Scope of Usage with DAX. Usability Options.

DAX Context : Row Context and Filter Context.

Parenthesis, Comparison, Arthmetic, Text, Logic .

Filter, Aggregation and Time Intelligence Functions.

Syntax Requirements with DAX. Differences with Excel.

Power BI Service & Data Modeling

Creating reports and dashboards.

Publishing reports on Power BI Service.

Using Power BI Service for operations on reports.

Publishing reports to Power BI Service for sharing and collaboration.

Creating relationships between tables.

Building data models with calculated columns and measures using DAX (Data Analysis Expressions).

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