Power BI Course in Vizag
Unlock the full potential of your data with our Microsoft Power BI coursein vizag. Whether you’re a beginner eager to learn how to use Power BI for the first time or an experienced user looking to deepen your knowledge, our comprehensive training programs are designed to cater to all skill levels.
Microsoft Power BI is an essential business analytics tool that transforms raw data into valuable insights and interactive reports, making it easier for organizations to enhance their decision-making processes. With user-friendly features, Power BI allows individuals to create compelling data visualizations and dashboards without needing technical assistance.
Our hands-on Power BI training classes provide practical experience using real-world datasets, equipping you with skills you can apply immediately. With courses available nationwide, finding Power BI certification programs near you has never been easier. Elevate your career and make data-driven decisions more effectively with our expert-led training.
What Skills You Will Acquire Through JNNC Technologies Power BI (Business Intelligence) Training Courses
Power BI Course in Vizag
JNNC Technologies training courses offer a comprehensive introduction to Power BI tools, as well as advanced applications in data science and analytics, equipping you for Power BI Certification. Throughout the Power BI course, you will learn to:
- Prepare datasets for your business using Power BI Desktop or Power BI Service
- Manage big data preparation with tools like Power Query
- Create impactful data visualizations within a Power BI Dashboard
- User filters, functions, and slicers to enhance data models in Power BI
- Leverage tools such as Power Pivot, DAX, Power View, Power Platform, calculated columns, and more.
Upon completion of this professional Power BI certificate program, you will be well-prepared to conduct data analysis and visualization using Microsoft Power BI. You will gain the skills to generate insights, create data model functions, perform business analysis, and much more. Mastering Power BI will make you a valuable asset to any business team.
Microsoft Power BI Certifications & Data Analyst Learning Paths
Having a Power BI certification on your resume can help you stand out in the job market and showcase your expertise with the tool. JNNC Technologies provides authorized training courses for Power BI and the Power Platform, preparing you for professional certification and equipping you with the necessary skills for success.
Power BI Course in Vizag
Earning a Microsoft certification is one of the most effective ways to validate your Power BI skills and expertise. By enrolling in a Power BI certification course with JNNC Technologies, you will learn essential techniques in exploratory data analysis, the Power Query editor, data functions, and other skills that can pave the way to becoming a data science expert.
As a Microsoft-authorized Training Services Partner, JNNC Technologies provides official training for role-based technical certifications in Power BI. Power BI is part Microsoft’s Power Platform suite that includes Power BI, Power Apps, Power Automate, and Power Virtual Agents. Navigate to a learning path for a specific technical-level Microsoft certification with Power BI or view all certification training courses:
- Power Platform Fundamentals
- Power Platform Functional Consultant Associate
- Power BI Data Analyst Associate
- Power Platform Developer Associate
- Power Automate RPA Developer Associate
- All Power Platform certifications
To pursue certification in Power BI or the Power Platform, you must pass the designated authorized exam(s). Microsoft Power BI certification exams are performance-based, requiring you to complete specific tasks during the test to demonstrate your business intelligence knowledge and ability to apply the technology in various scenarios. While there is no mandatory course to sit for the Power BI certification exam, the most effective way to prepare is through authorized, hands-on learning— exactly what JNNC Technologies offers!
Power BI for Excel Users Course Overview
The main purpose of the course is to review the essential skills needed to take data from Excel into Power BI then transform and shape the data, model the data, create reports, then publish the reports on the Power BI cloud service.
Audience Profile
The course is for individuals who are not IT professionals but need to easily create and publish reports with Power BI.
Power BI for Excel Users Course Prerequisites
Before attending this course, students should have experience creating worksheets in Excel. Familiarity with Pivot Tables is a plus, but it is not required.
Can’t Get Time Off to Attend Live Training?
Check out our self-study, self-paced course Microsoft On-Demand: Power BI for Excel Users 
. This format lets you learn at your own pace and on your own schedule.
** NOTE: More In-Depth Microsoft Official IT Course Available **
While Power BI Introduction for Excel Users is designed for average end users needing to learn essential Power BI skills, we have a more in-depth course, PL-300: Power BI Data Analyst . Course PL-300 is for IT professionals and power users who want a deeper dive into the material and/or who are preparing for Exam PL-300 to earn Microsoft Certification: Power BI Data Analyst Associate.
Power BI Course in Vizag
Power BI Intermediate Course
Power BI Intermediate Course Overview
This hands-on, online instructor-led course is intended as a continuation of our introductory-level courses, PL-300: Microsoft Power BI Data Analyst and/or Excel BI Tools: Power BI for Excel Users in Power BI. This course covers common intermediate-level tasks and some of Power BI’s most desirable new features.
Power BI Intermediate Course Prerequisites
Excel BI Tools: Power BI for Excel Users 
or PL-300: Microsoft Power BI Data Analyst
-OR- equivalent knowledge before attending this course.
At Course Completion
After completing this course, students will be able to:
• Import data from PDFs, regions of web pages, and collections of files
• Characterize data with data profiling
• Merge mismatched data sets with fuzzy matching
• Generate custom columns in Power Query
• Perform advanced data modeling
• Use Power BI time intelligence
• Work with custom scripts in R and Python
• Create KPIs and scorecards
• Use advanced report design techniques
• Use advanced dashboard design techniques
• Perform basic statistical analysis in Power BI
PL-300: Microsoft Power BI Data Analyst Course
PL-300 Course Overview
This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI . The course will also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
Audience Profile
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.
Job role
Data Analyst
Preparation for certification exam
Exam PL-300 to earn Microsoft Certification: Power BI Data Analyst Associate
Skills gained
• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• Apply and perform advanced report analytics
• Manage and share report assets
• Create paginated reports in Power BI
PL-300 Course Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
• Understanding core data concepts.
• Knowledge of working with relational data in the cloud.
• Knowledge of working with non-relational data in the cloud.
• Knowledge of data analysis and visualization concepts.
DP-605: Develop Dynamic Reports with Microsoft Power BI Course
Unlock the potential of dynamic reporting and data visualization with this comprehensive course on Microsoft Power BI. Designed to equip you with essential skills, you will learn how to retrieve, clean, and transform data from various sources, ensuring your reports are both insightful and impactful. Master the art of creating semantic models, adding measures and calculated columns, and designing visually appealing reports that meet your business needs.Whether you are a beginner or have some experience with Power BI, this course offers in-depth knowledge on filtering techniques, managing workspaces, and optimizing performance. By the end of this course, you’ll be able to confidently create and manage dynamic reports that drive better decision-making and efficiency in your organization.Audience Profile
This course is ideal for data analysts, business intelligence professionals, and IT specialists looking to enhance their skills in dynamic reporting with Microsoft Power BI. It is also suitable for managers and team leaders responsible for generating insights and making data-driven decisions.Prerequisites
You should be familiar with basic data concepts and terminology. Some exposure to Power BI is helpful, but not required.
Power BI Tools: DAX Introduction Course
Overview
In this two-day course, students will be introduced to using Data Analysis Expressions (DAX), which is the expression language that is used to create custom calculations in the Power BI Data model. The course covers some of the theoretical underpinnings of the data model and DAX, but the emphasis is on using DAX to solve common business problems. Students will learn how to write their own calculated columns, measures, and tables, how to visualize the way Power BI computes DAX calculations, and how to troubleshoot custom code. This instructor-led course consists of a combination of lecture, demonstrations, and hands-on labs.
Software Used During the Class
The standard lab setup for this class consists of a Window 10 PC with Power BI Desktop and DAX Studio installed.
Audience
This course is intended for business users who have been using Power BI to build analytic solutions and are ready to take advantage of the power and flexibility that DAX provides. Learning DAX is a very common “next step” for experienced Power BI users.
Prerequisites
Although experience with Power BI Desktop is not strictly required for this class, students with at least some familiarity will be better equipped to get the most out of the lab work.
Power BI Tools: Get and Transform Data (with M Programming) Course
Overview
This course is for individuals responsible for taking data and turning it into powerful business intelligence solutions. With Power Query you can transform data (by reducing, adding columns, and combining data sets) so that it is setup for additional analysis. Power Query makes “data munging” and “data wrangling” easy for non-programmers working as data scientists.
This course takes an in-depth approach to the Power Query and will provide an introduction to the M language, allowing you to replay a series of transformations. This is helpful when readying data on a weekly, monthly or quarterly basis, saving you time on these repetitive tasks. M Code will also allow you to manipulate data using features that are not accessible via keyboard commands.
Audience
This class is for users of either Power BI , Excel Power Tools, or SQL Server Analysis Services (SSAS). While all three products have a very similar Power Query-related interface, the course will be taught using the Excel 2016 software. Users of Power BI and SQL Server should have no problems with the slight differences between products.
This course is aimed at Excel power-users, Power BI users, BI professionals, and Excel power-users who have a general familiarity with Power Query but need more knowledge and experience to take it to its full potential. Our Power BI Tools: DAX Introduction course is a great complement to this class and is also designed for users of Excel, Power BI or SQL Server.
Prerequisites
While attendees do not need extensive prior experience with DAX formulas, it is recommended that they have attended either Microsoft Power BI Data Analyst OR Power BI Introduction for Excel Users OR have similar experience.
R Programming Introduction Course
Overview
Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this class, you’ll learn how to use the essential R tools you need to know to analyze data, including data types and programming concepts. The also shows you real data analysis in action by covering everything from importing data to publishing your results.
Audience
This class is for the non-programmer who wants to gain a basic understanding of R.
Prerequisites
No prior programming experience is necessary. Some background in statistics is helpful, but not necessary.
Course Objectives
• Write a simple R program, and discover what the language can do
• Use data types such as vectors, arrays, lists, data frames, and strings
• Execute code conditionally or repeatedly with branches and loops
• Learn R add-on packages
Related Courses: Excel Analytics & SQL
SQL Querying: Fundamentals Course
Overview
Organizations use large SQL databases to store information about clients, products, or sales. However, that data is locked into those databases until it is accessed by a business intelligence tool such as Power BI, Tableau or Crystal Reports. With the proper permissions, analysts can use SQL to select the data they need for additional analysis and reporting. This class, SQL Querying: Fundamentals, provides an overview of the SQL commands that can be used to access that data.
You will:
• Connect to the SQL Server database and execute a simple query.
• Include a search condition in a simple query.
• Use various functions to perform calculations on data.
• Organize the data obtained from a query before it is displayed on-screen.
• Retrieve data from multiple tables.
Target Student
This course is intended for individuals with basic computer skills, familiar with concepts related to database structure and terminology, and who want to learn the basics of querying SQL databases using the SELECT statement.
Prerequisites
Some familiarity with database terminology and structure is helpful.
SQL Querying: Advanced Course
Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.
Overview
In today’s competitive environment, information is one of the most important factors in determining the success of an organization. If you are able to manage and retrieve information efficiently, you can streamline the organization’s processes and give it a competitive edge. Some data analysis tasks may require that you query multiple tables simultaneously or create complex views of data.
With our SQL Querying: Fundamentals 
course you learned the basics of SQL querying.
During this SQL Querying Advanced class you will build on that foundation, learning advanced querying techniques such as writing nested queries and using views to simplify repetitive querying tasks. You will learn how to perform common database administration tasks such as duplicating tables; modifying table structures; inserting, updating, or deleting data; and indexing tables to optimize query performance. You will also learn how to work with multiple tasks as a transaction.
In This Course You will:
• Construct advanced queries and apply them to data.
• Use nested queries to generate query output.
• Manipulate table data by inserting, modifying, and deleting data.
• Manipulate the structure of tables.
• Work with views to present data.
• Index data to improve querying efficiency.
• Manage database transactions.
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