Which city is best for IT jobs in 2024 in India?

India is becoming a hub of IT and software-related jobs and companies. many MNCs like Microsoft, Google, Microsoft, etc opened their head offices in Indian cities like Bangalore, Hyderabad, Noida etc.

Out of many cities, mostly these 5 cities attract the most numbers of IT professionals from different parts of India and some International professionals also -

1)Bangalore
2)Hyderabad
3)Noida
4)Pune
5Chennai

1)Bangalore - Bangalore is the first choice among many IT professionals because of Its number of opportunities and also because of its cultural aspects which welcomes people from all parts of India. (aor ha weather bhi acha rehta hai)

2)Hyderabad - After Bangalore Hyderabad is the 2nd most liked city among IT professionals to work in, if you compare it with Bangalore then you can say that if Bangalore has 100 openings in a particular year, then Hyderabad also has 70-80 openings. Also, Hyderabad is loved by food lovers because of the different kinds of food available in Hyderabad.

3)Pune - The 3rd most loved city is Pune which is very near to Mumbai so if you love to live in Mumbai along with your movie stars but don't have that much money to pay rent then Pune will be your favorite city. Also, Pune has many IT openings every year.

4)Noida - Noida is a cousin city of Delhi and also has many MNCs and startups with many IT openings. For most of the North Indians who can't live without their aloo paratha and desi Khana then their first choice becomes Noida for IT jobs. Noida is also famous for its cheap real estate rent means you can rent a 3bhk flat in Noida at the same price that you pay for 1bhk in Bangalore.

5)Chennai - Chennai is a beautiful city and very near to my heart because I got my first job in Chennai, but many people don't prefer Chennai as their first choice for IT jobs because of the hot weather, food, language issues, etc. But Chennai also has some most successful companies like ZOHO so you must consider it once. Read more.

Comments

Free Udemy Course for PowerBI

Free Udemy Course for PowerBI Join My PowerBI Group Create beautiful dashboards instead of boring spreadsheets and slides. Make an involving presentation based on an interactive visual story. Create visualizations without programming skills. Learn some interesting tips for simply working with Power BI. Get this course for free. Basic Data Connection: Students will learn how to connect Power BI to simple data sources, gaining an understanding of basic data import techniques. Introductory Data Cleaning: Learners will be introduced to the Power Query Editor for basic data cleaning tasks, such as removing duplicates and filtering data. Fundamentals of Data Modeling: Participants will learn the basics of creating data models in Power BI, including simple relationships between tables. Basic DAX Formulas and Visualizations: Students will acquire foundational skills in writing simple DAX formulas and creating basic reports. Understanding the overall life cycle of building a Power BI Report fro

How can we use AI in PowerBI.

How can we use AI in PowerBI. Join My PowerBI Group. AI capabilities in Power BI empower users to delve deeper into their data, make better-informed decisions, and streamline tasks within their reports and dashboards. Here are several ways AI can be utilized in Power BI: Natural Language Query (Q&A): Users can pose questions about their data in natural language through the Q&A feature. Power BI employs AI algorithms to comprehend the query and produce visualizations or reports from the data. AI Visualizations: Power BI provides AI-driven visualizations like Key Influencers and Decomposition Tree. Key Influencers pinpoint the factors that most affect a target metric, and the Decomposition Tree enables users to explore the elements contributing to a particular value. Anomaly Detection: Power BI's AI features can identify data anomalies, aiding users in spotting unusual patterns or outliers that warrant additional scrutiny. This is especially valuable for spotting irregul

Importing Data into Power BI: Best Practices and Tips

Importing Data into Power BI: Best Practices and Tips Join My PowerBI Group. Importing data into Power BI is a crucial step in creating reports and dashboards. Here are some best practices and tips to enhance the process: Understand Your Data Sources: Get familiar with the structure, format, and quality of your data sources. Comprehend the relationships between different data tables and the business context of the data. Data Preparation: Clean and preprocess your data before importing it into Power BI. This includes removing duplicates, addressing missing values, standardizing formats, and converting data types. Use Direct Query When Appropriate: For large or frequently updated datasets that may surpass Power BI's data model size limits, consider using Direct Query mode. This mode enables real-time queries to the data source, ensuring reports are current. Optimize Query Performance: Improve data retrieval queries to reduce load times and enhance performance. Employ efficient SQ

PowerBI Course Under $5.

PowerBI Course Under $5. Join My PowerBI Group. What is PowerBI ? Power BI is a robust business analytics tool from Microsoft, crafted to convert raw data into compelling, interactive insights. It boasts an array of features such as data connectivity, preparation, modeling, visualization, and collaboration tools. Power BI empowers users to craft interactive dashboards, reports, and visualizations, enabling quick and effective business insights. Use of PowerBI - The value of Power BI stems from its capacity to make data analytics accessible, allowing individuals at every organizational level to base decisions on data. Its intuitive interface and accessible tools help organizations reveal patterns, trends, and connections in their data, fostering better decision-making, operational efficiency, and superior business results. Additionally, Power BI's compatibility with other Microsoft offerings and cloud services renders it an essential asset for businesses aiming to remain competitive

Power BI vs. Tableau: A Comprehensive Comparison of Business Intelligence Tools in 2024

Power BI vs. Tableau: A Comprehensive Comparison of Business Intelligence Tools in 2024 Join My PowerBI Group. In the world of commercial enterprise intelligence (BI) equipment, two giants stand out: Power BI and Tableau. As corporations increasingly rely on information-pushed insights to make informed choices, the selection among these two systems turns into essential. In 2024, the competition between Power BI and Tableau continues to intensify, with both platforms constantly evolving to satisfy the changing wishes of groups. 1. Understanding Power BI: Power BI, evolved by Microsoft, has won an extensive reputation for its user-friendly interface and seamless integration with other Microsoft merchandise which includes Excel, Azure, and Dynamics 365. Launched in 2015, Power BI has quickly turned out to be one of the leading BI equipment in the marketplace. Key Highlights of Power BI: a) User-Friendly Interface: One of Power BI's standout features is its intuitive UI, which permit

How to Handle Missing Data in Power BI?

How to Handle Missing Data in Power BI? Join My PowerBI Group. Taking maintenance of missing information in Power BI includes different strategies relying upon the idea of the information and the examination you're leading. The following are a few practices you can consider: Differentiate missing information: Prior to taking care of missing information, it's fundamental to recognize where the missing qualities are in your dataset. Power BI gives options to outwardly feature missing information in tables or diagrams, making it more straightforward to recognize. Sift through missing qualities: Now and again, you might decide to sift through columns with missing information only. This should be possible by involving channels in Power BI visuals or by applying information separation in Power Question Supervisor. Supplant missing qualities: You can supplant missing qualities with explicit qualities, for example, zeroes, midpoints, medians, or a custom worth. This should be pos

Is Web Scraping Illegal and How Can We Do It?

Is Web Scraping Illegal and How Can We Do It? Web Scraping Course. Web scraping is not illegal by default, but its legality hinges on the method employed and adherence to applicable laws and website terms of service. Below is a summary of legal considerations and guidelines for responsible web scraping: Legal Considerations: Terms of Service (ToS): Website ToS dictate the permissible use of their content. Some explicitly forbid web scraping, and violation of these terms could lead to legal repercussions. Copyright Law: Website content is often under copyright protection. While raw data and facts are not copyrightable, their creative presentation might be. Unauthorized scraping of significant amounts of such content could constitute copyright infringement. Computer Fraud and Abuse Act (CFAA): In the U.S., the CFAA outlaws unauthorized computer and system access. Scraping in contravention of website ToS may breach this act. Data Protection Laws: Web scraping may fall under data prot

SQL for Data Analysis: Solving real-world problems with data

SQL for Data Analysis: Solving real-world problems with data Pic Credit - Udemy What You Will Learn: The most important SQL is to get your job ready fast. To apply SQL to solve real-world business problems. Excellent skills in handling, joining, and summarizing data. How a realistic relational database works (using never seen before data). To set up an analysis and solve problems from start to finish using SQL. Who this course is for: You want to stand out in interviews for your dream job in data analysis, business intelligence, or data science. You're a student wanting a taste of what real-world data analysis is like. You're a product manager, marketing manager, or commercial manager, short on time but need to level up in data skills to stand out in your career. You're a budding data scientist: SQL is critical for feature engineering, which is a large part of any data science role. Plus, SQL is a much faster and easier route to data than Python. You're already a data a

Free Microsoft Power BI Data Analyst Professional Certificate from Coursera

Free Microsoft Power BI Data Analyst Professional Certificate from Coursera Join My PowerBI Group. What you'll learn Learn to use Power BI to connect to data sources and transform them into meaningful insights. Prepare Excel data for analysis in Power BI using the most common formulas and functions in a worksheet.   Learn to use the visualization and report capabilities of Power BI to create compelling reports and dashboards. Demonstrate your new skills with a capstone project and prepare for the industry-recognized Microsoft PL-300 Certification exam. Skills you'll gain. Data Analysis Microsoft Excel SQL power bi. Power Query Apply Here.

How Much Python is Used by a PowerBI Developer.

How Much Python is Used by a PowerBI Developer. PowerBI Course. A PowerBI developer typically utilizes a specific version of Python for several key tasks: Data Preparation and Transformation: Python is commonly employed for data cleaning, preprocessing, and transformation before the data is imported into PowerBI. Developers might use libraries such as Pandas, NumPy, and SciPy to efficiently carry out these tasks. Advanced Analytics: Python offers robust libraries for advanced analytics and machine learning that can enhance PowerBI's native analytical functions. PowerBI developers might employ Python scripts for complex analysis, predictive modeling, clustering, and sentiment analysis, among other applications. Custom Visualizations: PowerBI provides a vast array of visualization choices, but sometimes developers need to craft custom visualizations with Python libraries like Matplotlib, Seaborn, or Plotly. These bespoke visualizations can be incorporated into PowerBI reports to i

TechBis

Search This Blog