February 3, 2023

Power BI Developer Salary: 4 Key Points to Remember Microsoft’s business analytics platform, Power BI, aims to make it simple for staff members to create the business intelligence insights and visualizations they require to complete their tasks. If you’re interested in any type of data analytics or business intelligence job, it pays to become familiar with all these offerings. It competes with Tableau and other types of business-intelligence software for corporate business. Given that many businesses have chosen to implement the software for their business-intelligence requirements, choosing to devote a significant amount of time and resources to learning Power BI could prove to be a wise career decision in the long run. Microsoft’s platform won’t be used exclusively in any data analytics or business intelligence jobs, but it’s obvious that having knowledge of it can help you get hired and make a good living. What is the starting pay for a Power BI developer? A “Power BI developer” (or “Power BI specialist,” etc.) is typically in charge of creating and maintaining a company’s Microsoft Power BI dashboards, visualizations, and reporting, though the exact title may vary from company to company. Many professionals are looking to upskill themselves by finishing a Power BI course due to the industry’s increasing need for individuals with Power BI skills. We’ll talk about the typical pay for Power BI professionals in India in this blog. Depending on factors like location, experience, and skills, the average salary of a Power BI professional in India as of 2022 ranges from INR 5 lakhs to INR 15 lakhs annually. The average annual salary for entry-level Power BI professionals with less than a year of experience ranges from 3.5 to 5 lakhs of Indian rupees.  The typical salary can increase to between INR 6 lakhs and INR 10 lakhs per year with 1-4 years of experience. Senior-level professionals with more than ten years of experience can earn an average salary of INR 20 lakhs to INR 30 lakhs, while mid-level professionals with 5 to 9 years of experience can anticipate an average salary of INR 10 lakhs to INR 15 lakhs annually. In India, location seems to have a major effect on a Power BI professional’s salary. In comparison to smaller cities, cities like Bangalore, Hyderabad, Mumbai, and Delhi offer higher salaries. Companies in these cities are prepared to pay more for Power BI specialists with the necessary training and expertise. Another significant factor that affects a Power BI professional’s salary is their skill level. One must be proficient in DAX formulas, data modelling, and report design in order to succeed in this field. Microsoft Certified: Data Analyst Associate certification, for example, can enhance your resume and aid in landing higher-paying employment. Finally, taking a Power BI course can assist you in gaining the abilities and information necessary to be successful in this industry. The salary prospects in this industry are positive due to India’s growing need for Power BI specialists. But it’s important to keep in mind that things like location, experience, and skills can have a big impact on your pay. You can position yourself as a valuable asset to any organization by gaining the necessary skills and experience, and you can command a high salary in the Power BI industry. Burning Glass, a company that collects and analyses millions of job postings from across the nation, reports that the median pay for software specialists with 0 to 2 years of experience is typically in the range of $68,000. The median salary, however, can reach $113,000 per year for those who have worked extensively with the platform since its launch as Excel add-ons in 2013. This salary, however, rises quickly with one’s level of specialization and experience. What is the typical pay for Power BI developers? A Power BI developer makes an average annual salary of $86,000. How much time does learning Power BI take? Being a Microsoft product, Power BI comes with extensive online documentation and a learning portal. You might be able to learn the program fairly quickly if you have experience with tools like Tableau and a background in data analytics and/or data science. Depending on their complexity, each of Microsoft’s learning paths and modules can take anywhere from 20 minutes to several hours to complete. As you might anticipate, employers who ask for Power BI experience frequently also want you to have a variety of other data analytics-related skills, such as understanding of SQL, the previously mentioned Tableau, data analysis, Python (a rapidly growing programming language within data analytics), data warehousing and visualization, and SQL Server. Even though learning each of these can take some time, you’ll find them all to be very helpful in your career. Learning project management skills is frequently a requirement for those who are further along in their careers because you might end up leading an analytics team or overseeing bigger data projects. The capacity to effectively communicate key findings to stakeholders across your organization, including senior management, is a crucial component of project management expertise. The scope of Power BI after completing the Course. Growing demand for Power BI specialists: As businesses depend more and more on data-driven decision-making, there is a growing need for Power BI specialists. By completing a Power BI course, you can acquire the abilities and information needed to capitalize on this expanding demand. Multiple job opportunities: Power BI expertise is highly sought after across a range of sectors, including finance, healthcare, retail, and e-commerce. A Power BI course can lead to employment as a data analyst, business intelligence analyst, data visualization specialist, or data scientist, among other positions. High earning potential: Due to the growing need for Power BI experts, this industry has bright salary prospects. Depending on factors like location, experience, and skills, the average annual salary of a Power BI developer in India ranges from INR 5 lakhs to INR 15 lakhs. Flexibility: Power BI is a flexible tool that can be used to analyze data from a range of sources, such as

This could happen to you if you are a computer science and technology student or have already completed your academic studies in computer studies. Currently, if you search for technology skills and job titles that can lead to a successful career, you may come across titles such as Full-stack developers, frontend developers, data scientists, BI developers, AI engineers, data analysts, information security analysts, and so on. The last couple of years have seen a sharp rise in the number of jobs in the field of data science as a result of data-centric strategies and the potential for data to inform decisions. Opportunities for professionals who can drill down into data and draw valuable insights from it have increased dramatically as a result of this. Numerous data science positions are regarded as being among the most lucrative and in-demand in the near future. The goal of this article is to serve as a comprehensive resource for Power BI developers, one such data-focused profession. It covers everything you need to know regarding the position of Power BI developer, including necessary qualifications, duties, roles, and scope, as well as pay, tools, certification, and other factors. Let’s get going. Describe Power BI. Microsoft’s Power BI is a collection of business intelligence and analytics services. Everyone can make better decisions in real time thanks to its interactive visualization and advanced analytics features. Due to its simplicity of use and interactive visualization, Power BI is at the top of the list of well-liked BI tools. It provides end users with self-service analytics capabilities so they can build reports and dashboards. A widely used BI tool, Power BI has a wide range of users, including small and large businesses as well as students. One of the frequently used BI tools is Microsoft because of its dependability and robust features. There are many career options related to this tool, and Power BI roles—particularly those of Power BI developers, Power BI consultants, and Power BI analysts—are in high demand. Let’s learn more about the position of Power BI developer since this post is devoted to it and the qualifications needed to fill it. The Function of a Power BI Developer Power BI developer roles and responsibilities can vary from company to company. Power BI developers can be hired by organizations to design and create BI reports as well as to provide insights to enhance decision-making. This position has a variety of responsibilities that necessitate deep knowledge and proficiency in databases, business intelligence, and particularly technical facets of BI tools. Developers for Power BI are hired to handle a variety of needs. They must possess the necessary skills to work on a variety of projects, including reporting, building dashboards, developing data models, analyzing datasets, developing reports, and managing the Power BI tool. Roles and Responsibilities For Power BI Developers: Recognize business needs in the context of BI, and create data models to convert raw data into insightful information. Using Power BI, create dashboards and interactive visual reports. Determine key performance indicators (KPIs) with specific goals and continuously track those data analysis and data presentation in reports that support decision-making Establish a deadline and translate business requirements into technical specifications. Develop tabular and other multidimensional data models, and establish relationships between the data. Creating charts and describing data with algorithms, parameters, models, and relationships Create Power BI scripts, test them, and then deploy them. You can also perform extensive analytics. Use Power BI’s DAX functions and queries. examine the present ETL procedure, specify, and create new systems Development of data warehouses and use of SSAS, SSIS, and SSRS Technical and strategic changes should be made to improve current business intelligence systems. Create specialised charts and calculations in accordance with the specifications. Create, create, and implement business intelligence solutions in accordance with needs Use of filters and graphs for better understanding of the data, and SQL querying for best results Work on performance improvements and suggestions with users and team members at all levels. To cut a long story short, a Power BI developer is in charge of managing the entire business intelligence system and focuses on using Power BI to make informed decisions in real-time. Let’s talk about the qualifications needed to become a Power BI developer. How Does One Become A Power BI Developer? What Qualifications Do Power BI Developers Require? A Power BI developer must first and foremost be knowledgeable in data science, business intelligence, and data analytics. He or she ought to be familiar with the principles of data warehousing, modelling, business intelligence, and presentations. Skills needed to be a Power BI Developer: Must Have BI Tool Experience: Experience using BI tools and BI systems, such as Power Bi, Tableau, SAP, and others, is required of a Power BI developer. In light of the power bi role, they must have knowledge of implementing row-level security in Power BI, writing DAX expressions, and creating data-rich dashboards. Additionally, they must be able to create unique BI products, which call for expertise in scripting and programming languages like R and Python. The ability to transform data into stories that support data-driven decision-making throughout the organisation is one of the key skills of a Power BI developer. Experience In Data-Specific Roles Is Required: You should have at least two or three years of experience working with BI tools or in any data-specific roles before applying to become a Power BI developer. They are anticipated to have solid knowledge of database management, SQL querying, data modelling, data warehousing, business intelligence, and OLAP because they typically have experience with BI tools (Online Analytical Processing). Understanding of the Microsoft BI Stack Large-scale businesses use a variety of Microsoft products and services for data warehousing, data management, analytics, reporting, and business intelligence. A bonus is having extensive knowledge of and experience with Microsoft Business Intelligence stacks like Power Pivot, SSRS, SSIS, and SSAS. Analytics of data Any BI developer should have this as one of their core competencies. They must be able to communicate insights to

Python Potential: Learn Python Programming For Beginners! Python is one of the most popular and versatile programming languages in the world. It has been around since the early 1990s and is used in nearly every area of software development, from web development to artificial intelligence. If you’re a beginner and looking to break into the world of programming, then learning Python is a great place to start! This comprehensive guide will take you through the basics of Python and provide you with the knowledge you need to start programming with Python. From setting up your development environment to writing your first program to debugging and testing, we’ll cover it all! So, let’s get started! SECTION 1: What is Python and why should you learn it? Python is a high-level, object-oriented programming language that was created in the late 1980s. It is used to create web applications, desktop applications, and even mobile applications. Python is also used in data science, machine learning, artificial intelligence, and many other fields. Python is considered to be easy to learn, with a syntax that is both clear and concise. It is also versatile, as it can be used for both small and large projects. This makes it a great language for beginners to learn. Python is also an open-source language, which means that you can access its source code and modify it as you wish. This makes it an ideal language for developers who want to customize their applications. Finally, Python is highly extensible, meaning that you can add new features and modules to your applications easily. SECTION 2: What can you do with Python? Python is a very versatile language that can be used for a variety of tasks. It is often used in web development, as it can be used to create dynamic websites and web applications. Python is also used in data science, machine learning, and artificial intelligence, as it allows for powerful analysis and prediction. Python can also be used for game development, as it can be used to create both 2D and 3D games. It can also be used to create desktop applications and mobile applications. Finally, Python can be used to create scripts and automation, making it a great tool for automating tedious tasks. SECTION 3: Setting up your development environment Before you can start writing code, you need to set up a development environment. This is the software you will use to write and execute your code. The most popular development environment for Python is the Python IDLE, which is included in the official Python download. The Python IDLE is a simple, text-based editor that allows you to write and execute Python code. It also includes a debugger, which will allow you to find and fix any errors in your code. The Python IDLE is a great choice for beginners, as it allows you to get started quickly and easily. If you want a more advanced development environment, there are several other options available. Popular choices include PyCharm, Spyder, and Visual Studio Code. Each of these development environments includes additional features, such as code completion, syntax highlighting, and refactoring tools. SECTION 4: Python basics – concepts and syntax Once you have set up your development environment, you can start learning the basics of Python. Python is an object-oriented programming language, which means that it is composed of objects that have attributes and methods. The syntax of Python is relatively simple and straightforward. It is based on English, which makes it easy to read and understand. Variables are defined using the = symbol and strings are enclosed in quotes. Indentation is used to create blocks of code, and comments are denoted by the # symbol. Python is also a strongly typed language. This means that each variable has a type, such as int, float, or string. These types determine how the variable is used and how it is stored and manipulated. SECTION 5: Python data types In Python, there are several different data types that can be used to store data. The most common data types are int, float, string, and boolean. An int is an integer, which is a whole number. A float is a floating-point number, which is a number with a decimal point. A string is a sequence of characters, such as a word or sentence. A boolean is a data type that can have one of two values: True or False. In addition to these data types, there are also collections, such as lists, tuples, and dictionaries. Lists are an ordered collection of objects, while tuples are an immutable collection of objects. Dictionaries are a key-value store, where each item is associated with a key. SECTION 6: Python functions Functions are an important part of Python programming. A function is a block of code that can be executed when it is called. Functions allow you to reuse code and make your programs more organized and efficient. Functions are defined using the def keyword, followed by the function name and parentheses. The code within the function is indented, and the function is called using the function name and parentheses. Functions can also accept parameters, which are values that are passed to the function when it is called. These parameters can be used within the function to perform calculations or manipulate data. SECTION 7: Control flow and loops Control flow is used to determine which parts of a program are executed and in which order. This is done using conditional statements, such as if, elif, and else. Conditional statements allow you to execute a block of code only when a certain condition is met. Loops are used to repeat a section of code multiple times. There are two types of loops in Python: for loops and while loops. A for loop executes a section of code for each item in a sequence, while a while loop executes a section of code until a certain condition is met. SECTION 8: Object-oriented programming in Python Object-oriented programming (OOP) is a programming paradigm