Data Analysis and Visualization with Microsoft Power BI by Udacity: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study, Virtual Classroom	Mode of Delivery Video and Text Based	Learning efforts 5 Hours Per Week

Course overview

The Data Analysis and Visualization with Microsoft Power BI certification course will equip you with in-demand data pre-processing, analysis, and visualisation skills using Power BI as the tool of choice. In this programme, you will learn to connect multiple data sources to Power BI and transform and process data with it.

With the Data Analysis and Visualization with Microsoft Power BI training, you’ll learn to employ the best design practices. Plus, you can draw insights from data visualizations and dashboards, allowing you to make critical business decisions. All you need is some elementary experience with MS Excel to make the most of this programme.

When you enrol for this 3-month Data Analysis and Visualization with Microsoft Power BI programme, you also get dedicated placement assistance services upon course completion. This includes resume support, LinkedIn profile optimisation, and Github review. You will also have access to a student community and technical mentor support throughout the course.

Course and certificate fees

certificate availability

No

Who it is for

Data analyst

The Data Analysis and Visualization with Microsoft Power BI online course is designed for individuals looking to advance in their data analysis careers by gaining cutting-edge visualisation skills and becoming data analysts.

Eligibility criteria

To make the most of the Data Analysis and Visualization with Microsoft Power BI certification by Udacity, it’s important that you are familiar with organising and analysing data in MS Excel, along with using some basic functions.

Although it’s not compulsory, knowledge of creating pivot tables in MS Excel will also help you a lot.

What you will learn

Knowledge of data visualization

Upon completing the Data Analysis and Visualisation with Power BI certification syllabus, you will be able to:

Explain what data analysis is and why it’s essential
Use historical analysis to aggregate, investigate, and describe data
Use DAX to create calculated tables
Identify when data visualisation is helpful and when it’s not
Maximise accessibility for diverse user groups
Empower users with navigation buttons

The syllabus

Course 1: Introduction to Preparing and Modeling Data

Lesson 1 - Introduction to Preparing and Modeling Data

Describe the Power BI data Pipeline
Become familiar with the role of Power Query, data modelling and reporting to meet business needs
Recognize the range of stakeholders a data modeller should collaborate with

Lesson 2 - Key Concepts in Data Modeling

Conceptualize data modelling, including fact tables, dimension tables, key columns, and relationships
Define the role each component plays in reporting

Lesson 3 - Getting Your Data & Initial Transformations

Develop a familiarity with Data Types and their role in Power BI
Access a range of data sources using Get Data
Leverage Power Query to perform initial transformations to make your queries user friendly

Lesson 4 - Bigger Transformations & Date Tables

Choose and build the right data table for your purposes
Make more complex column changes within queries
Correct — errors know when to correct — errors and gaps
Morph data across queries to align with reporting needs

Lesson 5 - Relationships and Relationship-Related DAX

Create Implicit and Quick Measures
Select the correct relationships for your data model
Leverage relationships and filters in common DAX functions

Lesson 6 - Reports and DAX for Common Reporting Needs

Troubleshoot and Organize your Power BI file
Choose between a Measure and Calculated Column
Make DAX functions that leverage Conditional Logic
Create basic report visualizations such as Matrixes and Cards

Course 2: Creating Visualisations with Power BI

Lesson 1 - Welcome to Creating Visualisations with Power BI

Describe the learning objective of the course
Explain why data visualization is important for business intelligence
Identify the main stakeholders that BI analysts interact with
Identify when data visualization is useful and when it is not

Lesson 2 - Building Compelling Data Visualisations

Design complementary visuals, including cards, donut charts & tables
Identify important business metrics and pair them with appropriate data visuals
Build common data visuals, including bar charts & line charts
Recognize standard formatting options for Power BI visuals and navigate the unique formatting features that vary between visuals
Build more complex data visuals, including scatter plots & bubble maps

Lesson 3 - Designing User-Friendly Reports

Apply design principles that reduce noise & highlight data stories
Customize Power BI themes with unique colour palettes
Maximize accessibility for diverse user groups
Insert elements like images, shapes, and buttons to create compelling and versatile layouts for their reports

Lesson 4 - Creating Interactive Reports for Data Exploration

Apply filters to data visuals, pages, and reports
Design visuals that interact with one another and help users explore data by filtering and drilling for insights
Identify the differences between filters and slicers in a Power BI report, including when to use each and differences in functionality
Help users explore the data with different types of slicers
Customize the Filter Pane for reporting needs

Lesson 5 - Elevating Reports with Advanced Report Features

Build custom data stories with Power BI bookmarks
Customize Power BI reports in ways that foster interactivity and help users tell compelling data stories
Design drill-through pages for deep-dive analysis
Empower users with navigation buttons

Course 3: Advanced Data Analysis

Lesson 1 - Welcome to Advanced Data Analysis in Power BI

Describe the learning objectives of the course
Identify the main stakeholders that data analysts interact with
Explain what data analysis is and why it’s important
Identify when data analysis is useful and when it is not

Lesson 2 - Advanced-Data Analytics

Use historical analysis to investigate, aggregate, and describe data
Define, investigate and analyze data in order to draw conclusions
Use predictive analysis to understand relationships between data and forecast the probabilities of future outcomes

Lesson 3 - Power Query Transformations

Compare and contrast Power Query and DAX
Write custom formulas using the advanced editor in order to effectively clean and format imported data
Use M in Power Query to manually edit table columns

Lesson 4 - DAX Functions

Use DAX to create calculated tables
Write custom DAX formulas to perform calculations or format data
Troubleshoot common DAX errors and fix the underlying issues with their code

Lesson 5 - Advanced Visualisations

Distinguish between advanced and standard visualizations
Use advanced visualizations in order to analyze data and draw conclusions
Customize advanced visualizations with filters, formatting, and trend analysis

Admission details

Here’s a step-by-step process to enroll in the Data Analysis and Visualization with Microsoft Power BI classes.

Visit the programme page: https://www.udacity.com/course/data-analysis-and-visualization-with-power-BI-nanodegree--nd331
Register or sign in to your Udacity account
Scroll down the page until you reach the fee details section and select the “Enroll Now” beneath your preferred transaction mode
Complete the fee payment, and you’ll be enrolled in the course

Filling the form

For the Data Analysis and Visualization with Microsoft Power BI training, you need to fill a short form while making the payment. The form requires your city, address, state, PIN code, country, and phone number.

Scholarship Details

If you wish to enrol in the Data Analysis and Visualization with Microsoft Power BI course with a scholarship, Udacity offers many of them. To know more about the scholarships, click on this link here: https://www.udacity.com/scholarships.

How it helps

The Data Analysis and Visualization with Microsoft Power BI certification benefits by offering you a ton of real-world projects to work on, with which you can master the in-demand data analysis and visualisation skills all companies want. Your projects will also be reviewed by dedicated project reviewers, helping you understand your strengths and weaknesses.

Plus, you have a technical mentor by your side to clear your doubts and stay motivated. Custom-built schedules are also formulated based on your learning requirements. Lastly, Udacity also helps you land your dream job with their dedicated career services.

Instructors

Ms Lenore R Flower
Senior Business
Freelancer

Mr Sean Chandler
Senior Business Intelligence Engineer
Freelancer

Mr Joseph Lozada
Instructor
Freelancer

FAQs

Do I require any software for the Data Analysis and Visualization with Microsoft Power BI online course?

No, you don’t need to have any specific software or version of software to enrol. All the coursework can be completed on Udacity’s workspaces.

What should I do if I do not meet the prerequisites for the Data Analysis and Visualization with Microsoft Power BI programme?

If you do not meet the specified prerequisites, you can take a beginner-level course on Udacity to develop the skills required.

What jobs will the Data Analysis and Visualization with Microsoft Power BI course prepare me for?

Data Analysis and Visualization with Microsoft Power BI programme will prepare you for roles like business analyst, business intelligence analyst, or data analyst.