Data visualization makes data come to life, transforming you into the master storyteller of the insights buried inside your figures. Data visualization, through live data dashboards, interactive reports, charts, graphs, and other visual representations, enables users to rapidly and efficiently produce valuable business insights.
Data visualization may be used to demonstrate performance, communicate trends, comprehend the impact of new tactics, display relationships, and much more. These representations may be important instruments for communication and cooperation, adding value to reports, journalism, applications, and any other environment where information must be shared.
In this Nanodegree program, Using Microsoft Power BI as the primary tool, you’ll learn the in-demand skills required to become a successful data analyst, such as data pre-processing, visualization, and analysis.
Udacity is an online company that provides a variety of online courses that cover various educational topics. It was founded by Sebastian Thrun, David Stavens, and Mike Sokolsky. Udacity was started in 2011 with accessible computer science classes at Stanford University. Udacity offers a range of courses, such as free and paid courses that require online certification, such as Nanodegree programs.
Some of the unique features you will find at Udacity cannot be found anywhere else. These special features are what actually make Udacity one of the very best platforms by which you can enroll in an online course.
- Real-world projects from top industry experts
With real-world projects and engaging content created in collaboration with top-tier firms, you’ll master the IT skills that employers demand.
- Technical Support by mentors at Udacity
The Smart and knowledgeable mentors at Udacity will guide your learning and are always available to answer your questions, help you and keep you on track
- Career services
You’ll have access to GitHub portfolio reviews and LinkedIn profile optimization to help you develop your career and obtain a high-paying position.
- Learn with your own freedom
Create a learning plan that matches your busy schedule. Learn at your own speed and on your own timetable to achieve your specific goals.
Class content – Real-world projects, Project reviews, and Project feedback from experienced reviewers
Student services – Technical mentor support, Student Community
Career services – Github review, Linkedin profile optimization
Meet Your Instructors
- Lenore R Flower – Senior Business Intelligence Specialist
- Sean Chandler – Senior Business Intelligence Engineer at Humana
- Joseph Lozada – Business Intelligence and Operations Professional
The Basic Requirements for this course are Microsoft Excel to organize and analyze data, including the use of basic functions (SUM, DIVIDE, AVERAGE, and so on) and the creation of basic formulae (for example, a + b = c). Creating tables in excel and Creating and using basic pivot tables in Microsoft Excel for data analysis.
Now let’s come to the most important part of the course which is the course itself and what you get in it when you enroll in this course. This Course has a total of two sections each explaining some important topics related to the course and providing with you learning points and real-world projects at the end. Let’s take a deep dive into the sections -:
Introduction to Preparing and Modeling Data
Where do you even begin when the data you want for a single report is spread across several files and software systems? This is where data preparation and modeling come into play!
This course is essential for anybody who has to mash together different data sources, clean them, reorganize them, and harmonize them into a single and efficient data model to support reporting in Power BI. We’ll go through Power BI’s built-in Extract-Transform-Load (ETL) tool, Power Query, as well as some fundamental data modeling ideas, some introductory DAX (Data Analytics Expressions), and debugging and optimization.
In this project, Your job is to tame the datasets and build an effective data model for a small brewing firm that will help them better determine which beers are popular — and lucrative — so that they can make informed decisions about which items to prioritize as the company grows.
Students will be able to clean, organize, and arrange data in Power Query, establish a date table, develop a data model with the required associations and filters, and produce a simple report using standard visualizations and DAX measurements, among other things.
Creating Visualizations with Power BI
In this course, Students will learn how to take Power BI beyond conventional bar charts and convert their reports into data exploration and storytelling tools that businesses can utilize to better understand their data in this course. Students will begin by learning about common and complex data visualizations.
Then, students will learn how to create reports based on these data graphics in order to direct user attention to key insights, assist users in navigating different features and report pages, and offer accessibility choices for a wide range of audiences.
The learner will then be taught how to utilize filters and slicers. Finally, students will present a few advanced features that will improve how users browse and interact with graphics and the report itself.
In this project, Students will have created a complete Power BI report with several data graphics that convey the story of how the new Lapcat devices compare to Lapdog collars by the conclusion of the assignment.
Advanced Data Analysis
In this course, Students will focus on the techniques and abilities required for data analysis in Power BI in this course. The course is designed to provide students with a solid foundation and intuition for analytics, allowing them to move beyond simply aggregating data in Power BI and into the realms of statistics, forecasting, and strategy.
We begin with an overview of data analysis terminology and techniques, including descriptive and inferential statistics, histograms, linear regression, and an introduction to the concepts of correlation and probability. Following the introduction to data analytics, the course progresses to M, the Power Query language, and learning to build custom formulas as part of the data transformation process.
An online national clothing retailer requires your assistance in developing a focused marketing strategy. Sales have remained low, and they want to entice lost consumers to return. In this assignment, you will utilize US Census Bureau population figures to discover where the most money occurs across the country and whether there is a link between sales and income. You will show your ability to apply custom M code to import, clean, format, and organize data in Power Query, as well as custom DAX code to analyze data in Power BI, during this project.
According to the Program, the course is expected to be completed within approximately 3 months if you devote a minimum of 10 hours per week to the course. As we mentioned above, they have a self-paced learning environment, so you can attend at your discretion and at your pace.
Now let’s talk about the cost of the course which is an important part of whether you will buy or not buy the course. In this course, Either you will pay for monthly access or you can also choose a 3-Months access plan.
If you choose the monthly pay-as-you-go option you will pay $399 per month and there is another option that you can choose which comes with exclusive discounts which is a 3 months plan that you need to pay upfront and costs you around $1197 which comes with exclusive discounts making it cheaper than the monthly plan and also recommended by Udacity.
If you pay upfront for the 3 months of access you can save up to 15% + 70% exclusive discounts which you cannot if you take the monthly plan. If you need more time after 3 months, you can switch to a monthly access plan but it will increase the overall cost of the course.
Udacity will give you personalized Discounts if you answer 2 questions and pay upfront rather than a pay-as-you-go plan. You will get a promo code with an exclusive 70% Discount just for you on your course by just answering 2 simple questions.
In today’s data-driven environment, Business Intelligence (BI) appears to be a more appealing professional option. However, if you want to pursue a career in Power BI, you should be aware of the job prospects for Power BI developers.
Data visualization is the future of business, and the tools used to visualize data will be in high demand, making Power BI the most important tool for aspiring candidates.
According to ZipRecruiter, the average annual pay for a Power BI data analyst in the United States is $94,627 a year.
This is overall a good course created by experts at Udacity and also the features and offers provided by Udacity make this course a very good Nanodegree program. Also, You should also check other courses which you can take right after this course as those courses are made with help of top tech companies, they are of high quality and make you more knowledgeable about your field. If you are interested in other Udacity courses, please check out all courses on our website.
The course also has easy to follow a curriculum that includes everything to build your foundation. And also every section at the end includes a real-world project that will give you practical experience and make you job-ready.
One thing you should keep an eye on is your timing, try to complete your course in the estimated time provided by the course, or else you have to pay more for extra months which will increase your overall cost of the course.
If you think that the Udacity Data Analysis and Visualization with Microsoft Power BI Nanodegree Program is right for you, Udacity is the perfect place for you to take the course and land your dream job.