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What is Google My Business profile and its benefits for online business?

In today’s digital world, local visibility is just as important as a strong online presence. Whether you’re running a salon in Delhi or a bakery in Lucknow, your customers search for you online before they walk through your door. That’s where a Google My Business profile becomes your most valuable tool. It’s free, powerful, and easy to manage, even for small businesses.

What Is a Google My Business Profile?

A Google My Business profile is a free business listing that shows up when people search for your business or related services on Google Search and Maps. It shows key details like:

● Business name

● Location and directions

● Operating hours

● Phone number

● Website link

● Photos

● Services and pricing

● Google My Business reviews

This information appears in a dedicated box on the right side of search results. That visibility can help your customers make decisions faster. For example, someone searching “cake shop near me” can instantly find your business, see pictures, and read reviews — all without clicking another link.

Why You Should Create a Google My Business Profile

If you’re running any type of business, whether online or offline, you must create a Google My Business profile. Here’s why:

It builds trust. Customers trust businesses that appear on Google with verified details.

It increases visibility. Your listing can appear on Google Maps, making it easier for people to visit you.

It boosts SEO. Google ranks verified businesses higher in local search results.

It connects you to your audience. You can reply to reviews, answer questions, and post updates.

It helps convert leads. Accurate and updated listings encourage customers to call or visit.

Once you Google verify my business, your profile becomes an official representation of your brand.

How to Add Profiles to Google My Business

You can add profiles to Google My Business in a few simple steps:

Go to Google Business Profile Manager

Click on “Add your business”

Fill in your name, category, location, and contact details

Choose how you want to verify the business

Once verified, complete the profile with photos, services, and hours

After this, your Google My Business profiles can be managed from the dashboard. You can even add multiple business locations under one Google account. This is useful for franchises or businesses with branches.

How Google My Business Helps Online Businesses

If you think GMB is only for shops with physical addresses, think again. Even online-only businesses benefit from a Google My Business page. Here’s how:

● Better search visibility — You appear in location-based searches even if you offer delivery or online services.

● Click-to-call feature — Mobile users can call you directly from the listing.

● Customer interaction — Users can message you, ask questions, and get quick replies.

● Traffic to your website — The link to your website improves your click-through rate.

● Builds social proof — Good Google My Business reviews increase trust among new customers.

Online stores that offer local delivery or virtual services should definitely list themselves. You can even add social profiles to Google My Business like your Facebook or Instagram pages to show more credibility.

The Importance of Google My Business Reviews

Google My Business reviews are powerful. They directly impact your reputation and search rankings. Businesses with more positive reviews often rank higher than competitors, even if their websites are newer or simpler.

Encourage customers to leave honest feedback. You can share your review link via email or WhatsApp after a purchase. Responding to reviews — both good and bad — shows that you care and helps build brand loyalty.

Also, when new users see 4 or 5-star reviews with detailed comments, they’re more likely to choose you over others.

Features of a Complete Google My Business Profile

A strong Google My Business profile is more than just your name and address. To stand out, complete your listing with:

● High-quality images of your products, store, or office

● Service listings with descriptions

● Holiday hours and special timings

● Google posts for updates and offers

● Direct booking links if applicable

● Integration of messaging or call buttons

● FAQ section to answer common queries

Also, don’t forget to add social profiles to Google My Business. Linking Instagram, Facebook, or LinkedIn pages adds more depth and makes your brand more visible online.

Conclusion

In the digital age, your online presence starts with visibility. And nothing builds visibility faster than a well-maintained Google My Business profile. Whether you’re a student, a business owner, or a freelancer, understanding how to create a Google My Business profile, manage reviews, and add profiles to Google My Business is essential.

If you want to master tools like GMB, consider a Digital Marketing Course at ESS Institute. Our training covers everything from GMB basics to advanced tools, real-time practice, and support in Hindi. We also teach you how to add social profiles to Google My Business, track insights, and run local ad campaigns.

Visit ESS Institute and take your first step toward becoming a digital marketing expert.

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Top 10 Excel Tricks You Should Know

Excel is a versatile tool widely used for data management, analysis, and visualisation. As part of the Microsoft Office suite, Excel is indispensable for students and professionals, offering a platform to organise and process information efficiently. Its ability to perform calculations, create charts, and handle large datasets makes it an essential skill in academics, business, and everyday problem-solving. If you want to enhance your skills, learning these 10 tricks will make your work easier and more efficient.

1. Use Pivot Tables to Summarise Data

Pivot Tables help you quickly summarise large datasets. Instead of manually calculating totals or averages, you can use this tool to analyse your data with a few clicks. For example, if you have sales data for different regions, a Pivot Table can display total sales by region in seconds. Mastering Pivot Tables can give you an edge in any Excel course, as this feature is highly valued in data analysis.

2. Split Data into Separate Columns

When you have combined data, like full names or addresses, in one column, you can split it into multiple columns using the “Text to Columns” feature. Go to the “Data” tab, click “Text to Columns,” and choose how you want to split the data, such as by space or comma. This trick is especially useful for cleaning datasets before working on projects or assignments.

3. Transpose Rows and Columns

Need to switch rows into columns or vice versa? The transpose feature saves time and effort. Copy your data, right-click where you want to paste it and select “Transpose.” This simple trick is handy for reorganising data layouts.

4. Apply Conditional Formatting

Conditional Formatting highlights cells based on specific criteria. For instance, you can make all cells with marks above 90 turn green. Select your data, go to “Home” > “Conditional Formatting,” and set your rules. This trick helps you visually track trends or patterns in your data.

5. Remove Duplicate Data

Removing duplicates makes sure that your data is accurate and free from redundancy. Highlight the relevant column, go to the “Data” tab, and click “Remove Duplicates.” This trick is essential for students dealing with multiple datasets, such as when merging survey results or reports.

6. Use the IF Formula for Logical Conditions

The IF formula allows you to create logical conditions. For example, you can use it to check if marks are above a certain threshold and assign a grade accordingly. The formula format is =IF(condition, value_if_true, value_if_false). Learning this formula in an advance Excel course will help you automate repetitive tasks.

7. Leverage VLOOKUP to Find Data

VLOOKUP (Vertical Lookup) is useful when you need to search for data in a table. For example, if you have a list of student IDs and want to match them with their names, VLOOKUP can retrieve the relevant information instantly. It is an invaluable tool for assignments that involve cross-referencing data.

8. Use Filters to Simplify Data

Filters allow you to display only the rows you need. Click on the “Data” tab, select “Filter,” and use the dropdown options in each column to sort or filter your data. Filters are perfect for students working with large datasets, enabling them to focus on specific categories, such as filtering out overdue tasks.

9. Combine Text with the CONCATENATE Function

The CONCATENATE function merges text from multiple cells into one. For instance, if you have separate columns for first and last names, you can combine them into a full name using =CONCATENATE(A1, “ “, B1). This trick is particularly useful for creating clean, professional datasets.

10. Lock Cells with Absolute References

You might want specific cell references to remain constant when working with formulas, even when the formula is copied. Adding a dollar sign ($) before the column and row (e.g., $A$1) locks the reference. This trick prevents calculation errors, making it a fundamental concept covered in any Excel course.

Why Should You Learn These Tricks?

Mastering these Excel tricks will help you work smarter, not harder. These skills are invaluable for students in any field, from managing complex datasets to automating repetitive tasks. By enrolling in an advance Excel institute like ESS Institute, you can gain practical experience and build expertise in advanced features that will make your assignments and projects stand out. These tips are just the beginning. If you want to become proficient and gain an edge in academics or your career, it is time to invest in learning Excel.

Explore an advance Excel course at ESS Institute to unlock the full potential of this powerful tool!

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Why Python is the Most Used Language for Machine Learning

Python is a high-level, general-purpose programming language widely recognised for its readability and simplicity. Guido van Rossum developed it in the late 1980s, and it supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Python has become the most popular programming language for machine learning (ML), particularly resonating with students and aspiring developers in India, especially in a tech-forward city like Delhi. Here's an in-depth look at why python institute in Delhi is the preferred choice for ML.

5 Reasons Why Python is the Most Used Language

Python has quickly become the most popular language for a wide range of applications, especially in machine learning and data science. Here are five key reasons why Python dominates the programming landscape.

Extensive Libraries and Frameworks

Python offers a vast ecosystem of libraries and frameworks that streamline various machine learning tasks. Some of the most notable ones include:

NumPy: Essential for numerical computations and handling arrays.

Pandas: Excellent for data manipulation and analysis.

Scikit-learn: Provides tools for data mining and machine learning algorithms.

TensorFlow and PyTorch: Popular frameworks for deep learning applications.

These libraries dramatically reduce the amount of code required to implement complex algorithms, allowing developers to build models more efficiently.

Strong Community Support

Python, being open-source, has built a large community of developers who continually contribute to its libraries and frameworks. This community ensures that learners can easily find resources, tutorials, and forums to resolve issues and improve their skills. The collaborative environment promotes knowledge sharing, making it easier for students to learn from one another.

Cross-Platform Compatibility

Python’s platform independence allows developers to write code on one operating system and run it on another without modification. This feature benefits students who may not have access to high-end machines or specific operating systems. They can develop their projects on any platform—whether Windows, macOS, or Linux—making Python more accessible to a wider audience.

Flexibility and Scalability

Python’s versatility allows it to be used in a range of applications beyond machine learning, such as web development, data analysis, and automation. This flexibility means students can apply their Python skills across different domains. As projects grow in complexity, Python’s scalability helps developers manage large codebases without sacrificing performance or readability.

Reduced Development Time

Compared to languages like Java or C++, Python allows for faster development cycles. Python code typically requires fewer lines than other languages, enabling developers to implement features more quickly. This efficiency is especially valuable in the fast-paced world of machine learning, where prototyping and iteration are crucial.

Why is Python More Readable than Other Languages?

Python is often regarded as more readable than other programming languages due to several characteristics that enhance its clarity and ease of understanding. Here are the key reasons why Python stands out in terms of readability:

Simple and Clear Syntax

Python’s syntax is straightforward and intuitive, making it resemble natural language. This simplicity allows developers to express concepts in fewer lines of code than languages like C++ or Java, where verbosity often hides the logic. For example, Python uses indentation to define code blocks, eliminating the need for braces or keywords that can clutter the code.

Minimal Boilerplate Code

In Python, developers can accomplish tasks with minimal boilerplate code. This allows them to focus more on the core logic of the programme, with fewer distractions. Python’s high-level nature encourages abstract thinking, translating into cleaner, more maintainable code.

Use of Whitespace

Python enforces a disciplined coding style through its requirement for indentation, promoting a clean visual structure. This use of whitespace makes it easier to follow the programme's flow, which is particularly beneficial for beginners still learning programming concepts.

Should You Study Python?

Python training in Delhi is highly beneficial for students and professionals. Its simplicity makes it an excellent choice for beginners. Its applications span web development, data science, artificial intelligence, and machine learning, all of which are increasingly relevant in today’s job market.

In India, the demand for Python developers continues to soar. Companies are actively seeking skilled professionals who can leverage Python’s capabilities to drive innovation and efficiency. On average, a Python developer in India earns around ₹5,28,500 per annum, with potential earnings reaching up to ₹15 lakhs, depending on experience and expertise.

Conclusion

Python’s syntax prioritises clarity, using indentation to define code blocks, which makes it easy to read and maintain. Its extensive standard library equips developers to handle a wide range of tasks, from web development to data science and automation. Additionally, Python’s robust community provides extensive support, ensuring ample resources for learners at all levels. With its wide range of applications and growing demand in the Indian job market, python courses from ESS Institute offer immense opportunities for career growth.

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WHAT IS A PIVOT TABLE AND WHAT IT REALLY DOES TO DATA?

Pivot tables are really one of the great strengths of Excel and they've been a part of Excel for many years. They continued to be improved in every new version of Excel that's being released. What a pivot table allows you to do at a high level is analyze data really effectively. If we have a large data set in Excel and you put it into a pivot table, we will instantly be able to gain much more flexibility in terms of how you can look at that data vs. just having it in a static table. You can essentially move the fields or column headings around and view your data in lots of different ways really quickly and easily. All this might not make much Sense to you at this stage but it will become clearer as we go through some examples.

THINGS, YOU MUST KNOW:

Before we directly get into the concept of pivot tables, we just want to take all of you through some rules and some guidelines with regards to the type of data that is suitable for a pivot table. Just because of the reason that, not all data is suitable for a pivot table. The best kind of data that suits the pivot table is transactional data.

What we actually mean by transactional data isn't necessarily to do with financial transactions. It can be any kind of data, where each record corresponds to a measurement of something.

For example: It could be a record of a sale in a store or maybe it might be something like a measurement for the amount of rain on a particular day.

2. Your data must be organized. It must be one record per row.

3. Pivot tables really don't work well with blank rows. If you will be having data with black rows or in unorganized manner, you need to make sure that the data is consistent and remove any blank rows.

4. We won’t be able to work with pivot table, if we will be having blank cells in our data. If there is any, we used to a put a 0 in. So that it's not left blank.

5. The most important thing you need to know before learning how to use pivot table is that your information or your data must have column headers. Pivot tables utilize column headings heavily.

6. There is one more thing that we like to always advise you is to put your data into a table prior to creating your pivot table. Now, you might think looking at your data is already being in a table format. Because this grid structure in Excel has a kind of like a table structure and may confuse us.

There is a command on the home ribbon “format as table” and you can pick any one you like. It will then put your data into a table and that's useful for a number of reasons which will become clear as we go further.

We will just going to click somewhere in our data and go to “format as table”. After doing so, what Excel will do is it will say “where is the data for your table” and it basically picks up all of the data surrounding the click. We've got a tick in the box that says my table has headers.

Hit, OK button.

Now, let us get into the main stream.

Pivot tables automatically summarize your data for you. So, you can slice and dice it in a million different ways. You can forget about creating lots of summary calculations.

Let Excel do the work for you.

We're looking at our order sheet here and our sample file.

The first thing that we might want to do is take a look at what we might be interested in in knowing and how we might want to summarize this data. For example: we might want to know sales or quantity by product number.

Now, what we can do is we can go over to the insert tab and click either the blank pivot table option or recommended pivot tables.

We'll start with recommended pivot tables, so that you can see what that looks like.

What Excel does in the pop-up that appears is give you a few different options for how you might want to summarize the data. This is an example: “Price by product number”: we might not be as interested in that here are some another ways of summarizing data as well.

We will be actually starting with a blank pivot table.

For this, we'll go back to the insert tab and click on pivot table.

A pop-up appears that basically asked us, if we want to insert this into a new worksheet or an existing worksheet.

We'll just click “OK” and then there appears a new sheet.

On the left hand side which is highlighted is your blank pivot table space and on the right hand side is your list of fields in the original table and areas on your pivot table.

We have got filters, columns, rows and values on the bottom right corner.

To see how this works, the first thing that we'll try to do is just select our total cost button and what this is going to do is move that total costs field over to the values area in our pivot table.

You can see that, all it is just summing all of the total costs in the previous sheet.

Now, to add some dimension to our pivot table, we will actually take the order category to rows.

This is going to put the order categories in rows and tell us how much sales we have for each of those order categories.

It's just a way to slice the data up for us.

We will just trying to analyze our data with different perspectives.

Now, uncheck order category and let us see costs by product number.

Drag product number down to the rows and we will see that total cost column and broken up those costs by product number.

Just clear your table for the next analysis and start fresh.

We're going to take a look at quantity.

Move quantity over to the values field and this will going to sum all of the quantity that we've sold.

We can take our product number drag that down to the rows and this is going to tell us the quantity that we've sold by product number. Because, we've got product number in the rows and our quantity is in the value section.

Okay, one thing that we can do too is add an additional field into our rows area and we'll put order category right before the product number and can switch the order as well.

This is going to group or separate our quantity sold by the order category and then by the product just another way again to slice up our data and you can actually add as many fields as you want to.

Move over that order category to the columns and product numbers in the rows.This will not only tell us by product number but also by order category that how many we've sold. This is really going to be helpful.

Moving order category over the filters section. This allows us to filter our quantity sold by order category.

We'll just select multiple items and then we want to take a look maybe at small and normal orders.

This will filter down all of our quantity sold by small and normal orders and then by product numbers in those rows.

So, you can start to see how many different ways there are to start exploring your data.

We can actually also change our headers just to make it a little bit easier.

We can also go to the design tab and it gives us different options to format our pivot table.

Another thing that we can do is, we can right click the values and then sort it by largest to smallest. So that, we can easily see which ones were the top three sold and which ones were the bottom three by sorting it and making it easier for you all.

Being a beginner, this is what you all can try to do in Excel with pivot table.

This might seem a bit tricky in starting to read and analyze the data in pivot table but, it really simplifies a lot of data to greater extent.

Keep your learning curve constant.

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A Simple Tutorial To TDS And GST Filing In Tally by top trainers of ESS institute that is known as one of the best tally institute in Delhi

Many businesses in India are actively seeking Tally Experts to support their accounting and finance teams. You could be the perfect fit for these opportunities, but acquiring the necessary skills is crucial.

This guide aims to provide a comprehensive step-by-step process for TDS and GST submission using Tally. It covers various topics, including the setup of TDS and GST ledgers in Tally, transaction entry, total verification, report generation, and return filing.

Learn Tally from the Best Tally Institute in Delhi, where top Tally trainers offer free tutorials to help students interested in e-accounting.

The tutorial breaks down the TDS and GST filing procedures in Tally, making it easier for businesses to manage their taxes and avoid penalties.

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CSS basics in Web development | Top web design institute in Delhi

What is css?

CSS stands for Cascading Style Sheets. It is a language that describes how HTML (Hyper Text Markup Language) and XML (eXtensible Markup Language) elements are to be displayed on screen or paper or in other media.It helps designers and developers to decide how elements should be displayed, including their layout, fonts, spacing, colours and other visual aspects. It consists of Selectors and Declarations. Selectors state which elements the rule should apply to whereas Declarations state how to specify the properties and their values.

CSS helps in saving a lot of time and effort, by making it an important technology for creating visually appealing and user friendly websites. It can also control the layout of different web pages all at once. Also the external spreadsheets are stored in CSS files which are linked to HTML documents. It follows a ‘cascading order’ which states that multiple styles can apply to each element. Also CSS provides more attributes that plain HTML to define the look and feel of the website. Basically it is designed to enable the separation of presentation and content, including different layout, fonts and colours.

What Are The Benefits Of CSS ?

Let's now discuss why using CSS is significant.

Consistency

CSS helps in ensuring that the design remains consistent throughout the site. Also you can apply consistent styles to multiple styles on a website.

Accessibility

Css helps in improving the accessibility of the web By properly structuring and styling content, you can make it more accessible to users with disabilities, such as screen readers and keyboard navigation.

Reusability

CSS styles SS styles can be reused across different web pages. You don't have to repeat and write the code again and again. Hence this is particularly useful in larger websites or web applications.

Saves a lot of time and efforts

Css helps in saving a lot of time and effort, as the entire website can be changed by changing just one file. As CSS style definitions are saved in external CSS files.

Platform Independent

CSS is the script that offers consistent platform independence and can also support the latest browsers.

Example of CSS

In this example, we'll define CSS rules to style the text, background, and a button:

HTML:

Types of CSS

In CSS there are mainly three types or ways to apply styles to HTML elements They are inline, internal and external . Let us understand all three one by one:

Inline CSS

Inline CSS involves applying styles directly to individual HTML elements within their HTML tags using the ‘style’ attribute. Common uses of CSS Inline include quick styling adjustments or applying unique styles to individual elements.

But this CSS type is not mainly recommended, as for styling entire web pages, especially for larger websites for following reasons it is disadvantageous:

● It can make the HTML code less maintainable and harder to update consistently.

● Adding CSS rules to every HTML element is time-consuming and makes your HTML structure messy.

● Inline styles can make your HTML code more cluttered and less readable. This can affect the maintainability of your code and make it harder to collaborate with other developers.

However it has some significant advantages like:

● Inline CSS is easy to apply on a small or on a single portion of a webpage. There is no need to modify external stylesheets or create additional CSS files, which can be a lot of time and effort consuming.

● These Inline CSS have a higher priority than styles defined in external stylesheets. This can be advantageous if you want that a particular style is always applied.

In CSS, you can apply styles inline directly to HTML elements using the "style" attribute.

Here's an example of CSS inline styling:

Internal CSS

Internal CSS, also known as embedded CSS or inline CSS. It is a method of adding multiple CSS (Cascading Style Sheets) styling rules directly within an HTML document.Internal CSS requires you to add a <style> tag in the <head> section of your HTML document.

But this CSS type is also not much recommended as:

● Styles cannot be easily reused across multiple pages,which makes it less efficient for maintaining a consistent feel and look across a website.

● For larger websites, managing styles becomes more challenging when styles are scattered throughout multiple HTML documents.

However it has some significant advantages like:

● It’s known for its simplicity, straightforward, user friendly and easy to use mainly for small scale projects.

● Also you can quickly type or prototype styles without creating separate CSS files.

Here's an example of CSS internal styling with an HTML document:

Step1- Open your HTML page and locate <head> opening tag.

Step2- Put the following code right after the <head> tag.

Step3- Add CSS rules on a new line.

body {

background-color: blue;

}

h1 {

color: red;

padding: 60px;

}

Type the closing tag:

</style>

External CSS

External CSS is also a method of applying styles to HTML documents by placing the CSS code in a separate external file. This method is usually used in web development to keep the structure of web pages separate from their visual presentation. With the help of this, you can link your web pages to an external .css file which can be created by any text editor in your device (e.g., Notepad++).

Here are some major advantages of External CSS:

● It helps in separation of different concerns as it separates the content(HTML) from the presentation (CSS), making your code more organised and maintainable.

● It has a reusability feature as you can use the same CSS file for multiple HTML documents.

Although it faces some drawbacks that are:

● It requires an additional HTTP request to fetch the CSS file. This can lead to more time wastage as page loading time increases, particularly if the CSS file is larger or not properly optimised.

● To maintain multiple external CSS files, it can become a bit complex as a website grows. It may be challenging to keep track of which styles are used where, especially in larger projects.

Here's an example of CSS external styling with an HTML document:

HTML File (index.html):

Trainer from top web design institute in Delhi explains CSS is an important and an integral part of web development. As it plays a major part in creating user-friendly and visually appealing websites. It also allows web developers to control and manage the layout and design of the web content. It is a fundamental technology for web development that gives control and consistency in presenting and designing the web content. Also, among the three different types of CSS, the best practice is to adapt external CSS for most web projects. As it offers better code organisation, maintainability and reusability.

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In this blog, trainers from best advance excel Institute in Delhi prepared a list of top advance excel interview questions asked in any job

Before applying for a job that requires Excel expertise, Always have hands on expeirence with Advance excel stuff. As you may be asked anything in the interview which requires experience. In this article, trainers from best advance excel Institute in Delhi prepared a list of questions for you:

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