Power BI Certification Training Course in San Francisco

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Power BI Certification Course Overview

Power BI training in San Francisco will help you get the most out of Power BI enables you to solve business problems & improve operations. This course helps you master the development of dashboards from published reports, discover better insight from the data, & create practical recipes on the various tasks that you can do with Microsoft Power BI.

Power BI Training Key Features

100% Money Back Guarantee

No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that this Power BI certification course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!

30+ hours of blended learning

Industry-based projects for experiential learning

Lifetime access to self-paced learning content

Curriculum aligned with PL-300: Microsoft Power BI Data Analyst certification

Practice tests to prepare you for the PL 300 examination

Dedicated live sessions by faculty of industry experts

30+ hours of blended learning

Curriculum aligned with PL-300: Microsoft Power BI Data Analyst certification

Industry-based projects for experiential learning

Practice tests to prepare you for the PL 300 examination

Lifetime access to self-paced learning content

Dedicated live sessions by faculty of industry experts

30+ hours of blended learning

Curriculum aligned with PL-300: Microsoft Power BI Data Analyst certification

Industry-based projects for experiential learning

Practice tests to prepare you for the PL 300 examination

Lifetime access to self-paced learning content

Dedicated live sessions by faculty of industry experts

Skills Covered

Data Modelling

Dashboard Creation

MobileSpecific Data Visualization

Builtin Aggregations

DAX Commands and Functions

Data Visualization

Data Model Performance Optimization

Desktop Layout

Reports and Dashboards

Data Modelling

Data Visualization

Dashboard Creation

Data Model Performance Optimization

MobileSpecific Data Visualization

Desktop Layout

Builtin Aggregations

Reports and Dashboards

DAX Commands and Functions

Data Modelling

Data Visualization

Dashboard Creation

Data Model Performance Optimization

MobileSpecific Data Visualization

Desktop Layout

Builtin Aggregations

Reports and Dashboards

DAX Commands and Functions

Begin your journey to success

Get lifetime access to self-paced e-learning content

View other cohorts

Benefits

The global business intelligence market size is expected to grow from $ 33.34 billion in 2024 to $ 61.86 billion by 2029, growing at a CAGR of 13.16% during the forecast period. Over the last decade, BI and analytics tools have experienced a substantial surge in market share.

Designation
Annual Salary
Hiring Companies

Data Analyst
Annual Salary
$62KMin
$82KAverage
$96KMax
Source: Glassdoor
Hiring Companies
Source: Indeed
BI Engineer
Annual Salary
$100KMin
$131KAverage
$212KMax
Source: Glassdoor
Hiring Companies
Source: Indeed
Analytics Manager
Annual Salary
$90KMin
$159KAverage
$298KMax
Source: Glassdoor
Hiring Companies
Source: Indeed

Training Options

Self Paced Learning

Lifetime access to high-quality self-paced e-learning content curated by BI industry experts
24x7 learner assistance and support

23% Off$650$845

online Bootcamp

Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.

Lifetime access to high-quality self-paced e-learning content and live class recordings
24x7 learner assistance and support

Batch starting in San Francisco from:

11^th Jan, Weekend Class

24^th Jan, Weekday Class

View All Schedules

33% Off$750$1,125

Corporate Training

Upskill or reskill your teams

Blended learning delivery model (self-paced eLearning and/or instructor-led options)
Flexible pricing options
Enterprise grade Learning Management System (LMS)
Enterprise dashboards for individuals and teams
24x7 learner assistance and support

Know More

Power BI Course Curriculum

Eligibility

This Power BI course in San Francisco is applicable for people who want to understand how to use the Power BI tools and create customized visual reports. It is also suitable for BI and reporting professionals, data analysts, and professionals working with data in any sector.

Pre-requisites

There are no prerequisites for the Power BI certification course in San Francisco.

Course Content

PL-300 Microsoft Power BI Certification Training
Preview
- Lesson 01: Course Introduction
  Preview
  - 1.01 Welcome to Power BI Course
    00:23
  - 1.02 Skills Covered
    01:19
  - 1.03 Business Intelligence and Data Analytics High level Overview
    05:53
  - 1.04 Introduction to Power BI
    02:04
  - 1.05 Different Power BI Offerings
    02:44
  - 1.06 Installing Power BI
    02:44
- Lesson 02: Get Data From Different Data Sources
  Preview
  - 2.01 Identify and Connect to a Data Source
    01:55
  - 2.02 Change Data Source Settings
    00:41
  - 2.03 Select a Shared Dataset
    01:23
  - 2.04 Select a Storage Mode
    01:08
  - 2.05 Choose an Appropriate Query Type
    02:04
  - 2.06 Use Microsoft Dataverse
    01:22
  - 2.07 Use Parameters
    02:13
  - 2.08 Use or Create a PBIDS file
    01:18
- Lesson 03: Profile The Data
  Preview
  - 3.01 Identify Data Anomalies
    01:29
  - 3.02 Examine Data Structures
    01:29
  - 3.03 Interrogate Column Properties
    01:42
  - 3.04 Interrogate Data Statistics
    02:40
- Lesson 04: Clean Transform and Load the Data
  Preview
  - 4.01 Resolve Inconsistencies Unexpected or Null Values and Data Quality Issues
    03:51
  - 4.02 Apply User friendly Value Replacements
    02:10
  - 4.03 Evaluate and Transform Column Data Types
    02:19
  - 4.04 Apply Data Shape Transformations to Table Structures
    02:57
  - 4.05 Combine Queries
    01:13
  - 4.06 Apply User friendly Naming Conventions to Columns and Queries
    01:51
  - 4.07 Leverage Advanced Editor to Modify Power Query M code
    01:43
- Lesson 05: Design a Data Model
  Preview
  - 5.01 Define the Tables
    03:01
  - 5.02 Configure Table and Column Properties
    03:22
  - 5.03 Flatten out a Parent child Hierarchy
    03:33
  - 5.04 Define Role playing Dimensions
    01:34
  - 5.05 Create a Common Date Table
    01:51
- Lesson 06: Develop a Data Model
  Preview
  - 6.01 Apply Cross filter Direction and Security Filtering
    02:36
  - 6.02 Create Calculated Tables
    01:35
  - 6.03 Create Calculated Columns
    01:16
  - 6.04 Implement Row level Security Roles
    01:50
  - 6.05 Set up the Q and A Feature
    02:10
- Lesson 07: Optimize Model Performance
  Preview
  - 7.01 Remove Unnecessary Rows and Columns
    01:01
  - 7.02 Identify Poorly Performing Measures Relationships and Visuals
    03:00
  - 7.03 Improve Cardinality Levels
    02:40
  - 7.04 Optimize DirectQuery Models
    01:26
  - 7.05 Create and Manage Aggregations
    01:56
  - 7.06 Use Query Diagnostics
    02:34
- Lesson 08: Create Reports
  - 8.01 Add Visualization Items to Reports
    00:36
  - 8.02 Choose an Appropriate Visualization Type
    04:34
  - 8.03 Format and Configure Visualizations
    02:49
  - 8.04 Apply Slicing and Filtering
    02:26
  - 8.05 Add an R or Python Visual
    01:58
- Lesson 09: Create Dashboards
  - 9.01 Set Mobile View
    01:24
  - 9.02 Manage Tiles on a Dashboard
    03:26
  - 9.03 Configure Data Alerts
    02:17
  - 9.04 Use the Q and A Feature
    01:27
  - 9.05 Add a Dashboard Theme
    01:59
  - 9.06 Pin a Live Report Page to a Dashboard
    01:21
- Lesson 10: Enhance Reports to Expose Insights
  - 10.01 Perform Top N Analysis
    01:05
  - 10.02 Explore Statistical Summary
    01:31
  - 10.03 Use the Q and A Visual
    01:28
  - 10.04 Add a Quick Insights Result to a Report
    02:20
  - 10.05 Use the Play Axis Feature of a Visualization
    00:48
  - 10.06 Personalize Visuals
    01:33
- Lesson 11: Perform Advanced Analysis
  Preview
  - 11.01 Identify Outliers
    01:17
  - 11.02 Conduct Time Series Analysis
    00:41
  - 11.03 Use Groupings and Binnings
    01:59
  - 11.04 Use the Key Influencers to Explore Dimensional Variances
    00:58
  - 11.05 Use the Decomposition Tree Visual to Break Down a Measure
    01:16
  - 11.06 Apply AI Insights
    01:27
- Lesson 12: Manage Semantic Models
  - 12.01 Configure a Dataset Scheduled Refresh
    01:59
  - 12.02 Configure Row level Security Group Membership
    01:54
  - 12.03 Configure Incremental Refresh Settings
    03:03
  - 12.04 Promote or Certify Power BI Datasets
    01:50

Programme Syllabus

View Schedules

Industry Projects

Project 1
Insurance Dashboard Empowering Agent Insights with Power BI
This project enhances agent segmentation and performance analysis for an insurance group by leveraging Power BI to visualize key metrics, compute growth rates, and optimize agent insights based on demographic and sales data.
Project 2
Zomato Data Insights Enhancing Restaurant Analytics with Power BI
This project aims to develop an interactive Power BI report for Zomato, enabling comprehensive analysis of global restaurant data to uncover hidden irregularities and assess business performance.

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Power BI Exam & Certification

Who provides the certification and how long is it valid for?
Upon successful completion of the Power BI online training in San Francisco, Simplilearn will provide you with an industry-recognized course completion certificate which has lifelong validity.
What do I need to do to unlock my Simplilearn certificate?
To obtain the Power BI course completion certificate, you must complete the Power BI online self-learning training in San Francisco.
What are the BI skills measured in the Microsoft Power BI certification exam?
The Microsoft Power BI certification exam tests your skills in the following domains:
- Prepare the data (25–30%)
- Model the data (25–30%)
- Visualize and analyze the data (25–30%)
- Deploy and maintain assets (15–20%)
Do you provide any practice tests as part of the Power BI course?
Yes, we provide a practice test as part of our Power BI course to help you prepare for the certification exam. The practice test is intended to help you understand the type of questions you would face in the Power BI Course certification exam and gain expertise in the topics that are a part of the Power BI course syllabus.

You can explore further by trying this free practice test.

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Power BI Training FAQs

Why should I take this Power BI certification course in San Francisco?
The global business intelligence market is expected to reach $29.48 million by 2022. Business intelligence adoption has grown significantly - from sales, marketing, executive teams to insurance and business services. Simplilearn’s Power BI training in San Francisco helps you gain a competitive edge in creating customized visuals and deliver a reliable analysis of the vast amount of data using Power BI.
How do I enroll for this Power BI certification training in San Francisco?
You can enroll for this Power BI certification training in San Francisco on our website and make an online payment using any of the following options:
- Visa Credit or Debit Card
- MasterCard
- American Express
- PayPal
Once payment is received you will automatically receive a payment receipt and access information via email.
Who are the instructors for this Power BI Training and how are they selected?
Instructors for the power bi course are industry professionals with extensive experience in the field. They are selected based on their expertise, teaching ability, track record and certifications in data analytics.. The selection process includes rigorous vetting to ensure they can provide high-quality education and real-world insights for the best learning experience.
How do I enroll in the Power BI course?
The admission process for the power bi course consists of three simple steps:
- All interested candidates are required to apply through the online application form
- An admission panel will shortlist the candidates based on their application
- An offer of admission will be made to the selected candidates and is accepted by paying the program fee.
What is the salary of Power BI Data Analysts across the world?
Power BI data analysts are highly sought after due to their deep understanding of business intelligence and ability to provide actionable insights. The average salary for a Power BI data analyst in the US is USD 106,723, and the average salary for a Power BI data analyst in India is INR 5.8 Lakhs.

Find Data Science & Business Analytics Programs in San Francisco

Professional Certificate Program in Data Engineering Data Analyst

Acknowledgement
PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.

Power BI Certification Training Course in San Francisco

Aligned to

Aligned to

Power BI Certification Course Overview

Power BI Training Key Features

Skills Covered

Begin your journey to success

Benefits

Training Options

Self Paced Learning

online Bootcamp

Corporate Training

Power BI Course Curriculum

Eligibility

Pre-requisites

Course Content

PL-300 Microsoft Power BI Certification Training

Lesson 01: Course Introduction

1.01 Welcome to Power BI Course

1.02 Skills Covered

1.03 Business Intelligence and Data Analytics High level Overview

1.04 Introduction to Power BI

1.05 Different Power BI Offerings

1.06 Installing Power BI

Lesson 02: Get Data From Different Data Sources

2.01 Identify and Connect to a Data Source

2.02 Change Data Source Settings

2.03 Select a Shared Dataset

2.04 Select a Storage Mode

2.05 Choose an Appropriate Query Type

2.06 Use Microsoft Dataverse

2.07 Use Parameters

2.08 Use or Create a PBIDS file

Lesson 03: Profile The Data

3.01 Identify Data Anomalies

3.02 Examine Data Structures

3.03 Interrogate Column Properties

3.04 Interrogate Data Statistics

Lesson 04: Clean Transform and Load the Data

4.01 Resolve Inconsistencies Unexpected or Null Values and Data Quality Issues

4.02 Apply User friendly Value Replacements

4.03 Evaluate and Transform Column Data Types

4.04 Apply Data Shape Transformations to Table Structures

4.05 Combine Queries

4.06 Apply User friendly Naming Conventions to Columns and Queries

4.07 Leverage Advanced Editor to Modify Power Query M code

Lesson 05: Design a Data Model

5.01 Define the Tables

5.02 Configure Table and Column Properties

5.03 Flatten out a Parent child Hierarchy

5.04 Define Role playing Dimensions

5.05 Create a Common Date Table

Lesson 06: Develop a Data Model

6.01 Apply Cross filter Direction and Security Filtering

6.02 Create Calculated Tables

6.03 Create Calculated Columns

6.04 Implement Row level Security Roles

6.05 Set up the Q and A Feature

Lesson 07: Optimize Model Performance

7.01 Remove Unnecessary Rows and Columns

7.02 Identify Poorly Performing Measures Relationships and Visuals

7.03 Improve Cardinality Levels

7.04 Optimize DirectQuery Models

7.05 Create and Manage Aggregations

7.06 Use Query Diagnostics

Lesson 08: Create Reports

8.01 Add Visualization Items to Reports

8.02 Choose an Appropriate Visualization Type

8.03 Format and Configure Visualizations

8.04 Apply Slicing and Filtering

8.05 Add an R or Python Visual

Lesson 09: Create Dashboards

9.01 Set Mobile View

9.02 Manage Tiles on a Dashboard

9.03 Configure Data Alerts

9.04 Use the Q and A Feature

9.05 Add a Dashboard Theme

9.06 Pin a Live Report Page to a Dashboard

Lesson 10: Enhance Reports to Expose Insights

10.01 Perform Top N Analysis