Choosing a Data Analyst Course in Noida After 12th – Good Idea?

 In today’s world, data is everywhere. From online shopping to social media, and from banks to hospitals, every industry uses data to make smart decisions. This has made data analysts one of the most in-demand professionals across the world. If you are a student who has just passed the 12th standard and are wondering what to do next, choosing a data analyst course in Noida could be a smart move. In this article, we will explore why this career path is growing, what a data analyst does, and how Uncodemy, a leading institute in Noida, can help you get started.

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What is Data Analysis?

Data analysis means examining, cleaning, and organizing data to find useful information. This information helps companies make better decisions. For example, a business may analyze customer data to understand what products are selling more or when customers like to shop. A data analyst plays a big role in making this possible.

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Who is a Data Analyst?

A data analyst is someone who collects, processes, and studies data to solve problems or answer questions. They use tools like Excel, Python, SQL, and data visualization software to turn raw data into helpful insights. These insights help managers, marketers, and company owners make smart and profitable decisions.

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Why Choose a Data Analyst Course After 12th?

You may wonder, “Can I really start learning data analysis right after 12th?” The answer is yes! While many people choose this path after completing their graduation, starting early gives you a big advantage.

Here are some reasons why choosing a data analyst course after 12th is a good idea:

1. Early Start = Early Success

By starting just after 12th, you save time. While others are still deciding on their careers, you can already start building skills and gaining experience. This means you can start working at a younger age and grow faster in your career.

2. High Demand for Data Analysts

Almost every company today needs someone to manage and understand data. From IT companies to hospitals, banks, schools, and online businesses – all require data analysts. This high demand means more job opportunities and better pay.

3. No Need for a Technical Background

You don’t have to be a computer science expert to become a data analyst. If you are good at basic math and have interest in learning new tools, you can easily start this course after 12th.

4. Short-Term Courses, Long-Term Benefits

Data analyst courses are not too long. With just 6 to 12 months of training, you can gain enough knowledge to start working in the field. Some students even begin freelancing or doing internships during the course itself.

5. Affordable and Accessible

Good institutes like Uncodemy offer affordable training programs. They also provide flexible batches – online and offline – so you can learn at your own pace.

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Why Choose Noida for a Data Analyst Course?

Noida has become a hub for IT companies and startups. Many multinational companies have offices here, creating a strong demand for skilled professionals. Studying in Noida gives you exposure to real-world opportunities, internships, and job placements.

Here’s why Noida is the right choice:

• Growing IT industry

• Top training institutes like Uncodemy

• Job opportunities right after course completion

• Networking with professionals and industry experts

• Modern classrooms and infrastructure

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About Uncodemy – Your First Step Towards a Data Analyst Career

Uncodemy is a trusted and popular training institute in Noida. It offers professional courses in Data Analytics, Data Science, Python, Machine Learning, and more. With experienced trainers, real-time projects, and job placement support, Uncodemy is the right place to begin your journey after 12th.

Key Features of Data Analyst Course at Uncodemy:

• Beginner-friendly course designed for students after 12th

• Live classes by industry experts

• Hands-on training on tools like Python, SQL, Excel, Power BI, and Tableau

• Assignments and real-time projects for practice

• Resume building and mock interviews

• 100% placement assistance

• Certification after course completion

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What Will You Learn in the Course?

The course is designed in a step-by-step format so that even beginners can follow it easily. Here's what you'll learn:

1. Basics of Data Analytics

• What is data analysis?

• Importance of data in business

• Types of data

2. Microsoft Excel

• Sorting and filtering data

• Charts and pivot tables

• Data cleaning in Excel

3. SQL (Structured Query Language)

• What is a database?

• Writing simple queries

• Retrieving data from multiple tables

4. Python Programming

• Introduction to Python

• Data types, loops, and functions

• Data analysis using libraries like Pandas and NumPy

5. Data Visualization

• Introduction to Power BI and Tableau

• Creating graphs, charts, and dashboards

• Making reports that tell stories with data

6. Real-Time Projects

• Working with real company data

• Creating reports and dashboards

• Presenting your findings

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Career Opportunities After the Course

After completing your data analyst course from Uncodemy, you can apply for many job roles, such as:

• Junior Data Analyst

• Business Analyst

• Reporting Analyst

• Excel Specialist

• Data Visualization Expert

Many companies also offer internship opportunities to freshers. With 1-2 years of experience, you can even become a senior analyst or data scientist.

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Salary Expectations

One of the biggest advantages of this career is the salary. As a fresher, you can expect to earn around ₹3 to ₹5 LPA (Lakhs Per Annum). With more experience and skills, the salary can go up to ₹10 to ₹15 LPA or even more, especially in big companies.

Freelancing is also an option for those who want to work independently. Many international clients hire freelance data analysts at attractive rates.

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Success Story – From Student to Analyst

Let’s take an example. Meet Ravi, a 12th pass student from Delhi. He was interested in computers but didn’t want to go for a 4-year degree. He joined the data analyst course at Uncodemy. In 8 months, he learned all the necessary tools. He did two internships during the course. Today, Ravi is working with a startup in Noida and earning ₹4.5 LPA. He is also continuing his online graduation while gaining work experience.

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How to Get Started?

If you are interested in building a future in data analytics, here’s how to begin:

Step 1: Visit Uncodemy's Website

You can explore all course details, schedules, and fees online.

Step 2: Attend a Free Demo Class

Uncodemy offers a free demo class to help you understand the course and meet the trainers.

Step 3: Enroll in the Course

Choose a batch (weekday or weekend) that suits your schedule and start learning.

Step 4: Complete Projects and Get Certified

Work on real data and earn your course certificate.

Step 5: Apply for Internships or Jobs

With the help of Uncodemy’s placement team, apply for interviews and internships.

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Final Words: Is It a Good Idea?

Yes! Choosing a Data analyst course in Noida after 12th is not just a good idea – it’s a great one. It gives you a head start in one of the most promising careers of the future. With the right training, tools, and guidance, you can become a skilled professional in less than a year.

And when you choose Uncodemy, you are not just joining a course—you’re joining a supportive learning community. Whether your goal is to get a job, start freelancing, or continue your education along with work, Uncodemy will guide you every step of the way.

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Frequently Asked Questions (FAQs)

1. Can I join a data analyst course after 12th without a science background?

Yes, you can! Basic math and computer knowledge is enough to start.

2. Is coding necessary to become a data analyst?

Not much. You’ll learn simple coding in Python or SQL. It’s beginner-friendly.

3. Does Uncodemy provide placement support?

Yes, Uncodemy offers 100% placement assistance to all its students.

4. What if I want to continue my graduation along with the course?

Many students do that. The course is flexible and can be done with online college.

5. Will I get a certificate?

Yes, you’ll receive a certificate from Uncodemy after course completion.

Top 5 Mistakes to Avoid While Choosing a Data Analytics Course in Delhi

 Today, data analytics is one of the fastest-growing fields in the world. Every company, whether big or small, needs experts who can understand and analyze data to help them make better decisions. If you are living in Delhi and planning to start your career in data analytics, you are making a great choice!

But before you jump in and join any course, it’s very important to be careful. Choosing the wrong course can waste your time, money, and energy. At Uncodemy, we believe that the right guidance can make all the difference. To help you, we have listed the top 5 mistakes you should avoid while choosing a data analytics course in Delhi.

Let’s get started!

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1. Not Checking the Course Curriculum Properly

One of the biggest mistakes people make is not looking closely at the course curriculum. Many students just see the name “Data Analytics Course” and assume everything they need will be covered. But that’s not always true.

A good data analytics course should cover important topics like:

• Excel for Data Analysis

• SQL (Structured Query Language)

• Python or R Programming

• Data Visualization Tools (like Power BI, Tableau)

• Machine Learning Basics

• Statistics and Mathematics

• Real-world Projects and Case Studies

If the course only covers basic Excel skills or theory without real-life examples, it might not be enough for today’s job market.

At Uncodemy, we make sure that our Data Analytics course includes all important subjects, with hands-on projects, so that our students are job-ready.

Tip: Always ask for the detailed syllabus before joining and compare it with what companies are looking for in job descriptions.

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2. Ignoring the Trainers' Qualifications and Experience

Imagine learning driving from someone who has never driven a car! That’s what happens when you learn data analytics from a trainer who doesn’t have real industry experience.

Many institutes hire trainers who know the theory but have never worked on real projects. This means you may learn bookish knowledge but not practical skills.

Before choosing a course, check:

• Who will teach you?

• How many years of industry experience do they have?

• Have they worked on real data projects?

At Uncodemy, all our trainers are working professionals from top companies. They bring real-world examples to the classroom, helping you understand how data analytics is used in different industries.

Tip: Attend a demo class if possible. It will give you a clear idea about the trainer’s teaching style and experience.

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3. Choosing a Course Just Because It’s Cheap

We all want to save money, and that’s understandable. But choosing the cheapest course without checking the quality can cost you much more in the long run.

Many low-cost courses cut corners by:

• Giving outdated study material

• Having large batch sizes (too many students, not enough attention)

• Offering no placement support

• Skipping important topics to save time

Remember, cheap doesn’t always mean good. Think of your course fee as an investment in your future. A slightly more expensive course that gives you strong skills, certification, and job support is much better than a cheap course that teaches you nothing valuable.

At Uncodemy, we offer affordable pricing without compromising on quality. Our goal is to make every student job-ready with the right skills.

Tip: Instead of looking for the cheapest course, look for the best value for your money.

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4. Not Asking About Placement Assistance

After completing your course, the next important step is getting a job. Some institutes only teach you and leave you on your own to find a job. That’s why you should always ask about placement support.

A good institute will help you by:

• Conducting mock interviews

• Preparing your resume

• Giving career counseling

• Arranging interviews with companies

• Providing internship opportunities

At Uncodemy, we offer 100% placement assistance. Our dedicated team helps you prepare for interviews and connects you with top companies looking for data analysts.

Tip: Always ask the institute to show you real placement records. Don’t just believe what they say—ask for proof.

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5. Ignoring Reviews and Feedback from Past Students

Another big mistake students make is not checking reviews and feedback from others who have already taken the course. Student reviews can tell you the real truth about the course—both good and bad.

Before you join any data analytics course in Delhi:

• Check Google reviews

• Visit the institute’s website and look for student testimonials

• Ask for alumni contacts and talk to them

• Look for success stories on social media

At Uncodemy, we are proud to have hundreds of positive reviews from happy students who have successfully started their careers in data analytics. Their success is our biggest achievement!

Tip: Be careful if an institute has no reviews or only fake-looking, overly positive reviews. Real reviews often talk about both strengths and areas for improvement.

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Bonus Tips for Choosing the Best Data Analytics Course

Apart from avoiding the above mistakes, here are some extra tips that can help you choose the best course:

1. Look for Hands-on Training

Theory is important, but in the world of data analytics, practical skills are even more important. Make sure the course includes hands-on training, real projects, and case studies.

At Uncodemy, we focus a lot on real-world projects, so you can build a strong portfolio to show during job interviews.

2. Choose a Course with Certification

A recognized certificate adds value to your resume. It proves that you have been trained by professionals and are ready for the industry.

At Uncodemy, you get a certification after completing the course, which is recognized by many companies.

3. Flexible Learning Options

If you are working or studying, flexible timing options (like weekend batches, evening classes, or online classes) can help you manage your time better.

Uncodemy offers flexible batches to suit the needs of students and working professionals.

4. Support Even After Course Completion

Sometimes you might need help even after finishing the course, especially when you start working on real projects. It’s good if the institute offers ongoing support.

At Uncodemy, our trainers are available to guide you even after the course ends.

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Conclusion

Choosing the right Data Analytics course in delhi is a big decision that can shape your career. If you make a wrong choice, you may waste your time, money, and effort. But if you avoid these 5 common mistakes—
✅ Not checking the curriculum
✅ Ignoring trainer experience
✅ Running after cheap fees
✅ Forgetting about placement support
✅ Not checking reviews

—then you can surely find the best course for you.

At Uncodemy, we are committed to helping you learn the right skills, get certified, and build a successful career in data analytics. Our industry-expert trainers, real-world projects, and strong placement support make us one of the top choices for students and professionals in Delhi.

If you are serious about starting your career in data analytics, join Uncodemy today and take your first step toward a bright future!

Freelancing After Completing a Data Analytics Course in Delhi

 

Your Roadmap to a Flexible and Rewarding Career with Uncodemy

In today’s digital world, data is everything. Businesses want to understand what their customers like, how they behave, and what they need. That’s why data analytics is in high demand. If you have completed a Data Analytics Course in Delhi from Uncodemy, you are already on the path to success.

But what’s next? Do you want to work full-time in a company or start your freelance career? Many students today are choosing freelancing because it offers flexibility, independence, and the chance to work with global clients. In this article, we’ll explain everything you need to know about freelancing after your course — and how you can build a great future with your new skills.

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What is Freelancing?

Freelancing means working for yourself. You are not tied to one company. Instead, you can work with many clients on different projects. You can choose your working hours, decide your own fees, and even work from your home or a café.

For a data analyst, freelancing means helping clients collect, clean, and analyze data. You might work on market trends, sales reports, customer feedback, website traffic, or financial records — all through data.

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Why Freelance After a Data Analytics Course?

Here are some simple and strong reasons why freelancing is a good option:

1. Freedom to Choose

You choose who you work with and what kind of projects you accept. You don’t need to follow fixed office hours.

2. Work from Anywhere

All you need is a laptop and internet. You can work from your home in Delhi or even from the hills in Himachal!

3. Earn More

Freelancers can set their own prices. With the right skills and experience, you can earn much more than a fixed salary.

4. Learn Fast

Freelancing lets you work on different projects, which means you keep learning new things quickly.

5. Start Anytime

You don’t need to wait for job openings. You can start freelancing as soon as you complete your course.

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What You Learn at Uncodemy That Helps in Freelancing

Uncodemy’s Data Analytics Course in Delhi gives you all the tools you need to become a successful freelancer. Some key skills you learn are:

• Excel – For organizing and analyzing data.

• SQL – To handle and query large databases.

• Python or R – For data cleaning, analysis, and automation.

• Tableau/Power BI – To create dashboards and reports.

• Statistics – To understand patterns in data.

• Real-World Projects – So you are ready for real client work.

These are the exact skills clients want. With this training, you are job-ready and freelance-ready.

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Step-by-Step Guide to Start Freelancing as a Data Analyst

Let’s look at how you can begin your freelancing journey:

Step 1: Build a Strong Portfolio

Your portfolio is like your resume, but better. It shows what you can do. You can include:

• Projects from your Uncodemy course

• Your own mini-projects (like analyzing stock prices or social media trends)

• Dashboards made in Tableau or Power BI

• GitHub link to your code and notebooks

• A short case study about how you solved a problem using data

Tip: Use simple language to explain your work. Show your thinking, not just the results.

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Step 2: Create Profiles on Freelance Platforms

To find freelance work, you need to be where the clients are. Some good platforms are:

• Upwork

• Freelancer

• Fiverr

• Toptal (for advanced users)

• LinkedIn (also great for networking)

Make a strong profile with a clear description. Add your skills, portfolio, and a professional photo.

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Step 3: Start Small, Build Trust

In the beginning, take small projects even if the pay is less. This helps you:

• Get good reviews

• Build your reputation

• Understand how clients work

• Learn how to manage deadlines

Once you have good ratings, you can charge more.

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Step 4: Keep Learning

Freelancing is all about learning. Even after your course, keep updating your skills. Learn new tools, join webinars, and stay connected with the Uncodemy community.

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Step 5: Manage Your Time and Clients

As a freelancer, you are your own boss. So, it’s important to:

• Use tools like Trello, Notion, or Google Calendar to stay organized

• Be clear about your deadlines and prices

• Always reply to clients on time

• Deliver your work professionally

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What Kind of Projects Can You Do as a Freelance Data Analyst?

Here are some common types of projects you can find as a freelancer:

• Creating dashboards for sales and marketing

• Analyzing customer feedback or surveys

• Making business reports using Excel or Power BI

• Writing Python scripts for data automation

• Forecasting sales or demand

• Helping eCommerce stores understand user behavior

• Website or social media analytics

There is no limit. Almost every industry uses data — finance, health, travel, sports, education, and more.

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How Much Can You Earn?

Freelance rates depend on your skills and experience. Here’s a rough idea:

• Beginner: ₹300 to ₹800 per hour

• Intermediate: ₹800 to ₹2000 per hour

• Advanced: ₹2000 to ₹5000+ per hour

Some freelancers also charge per project. A dashboard can earn you ₹5,000 to ₹20,000 depending on the complexity.

With time, you can even build your own small freelance team!

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Tips to Become a Successful Freelance Data Analyst

Here are some easy tips to grow faster:

• Always meet deadlines – Clients love punctual freelancers.

• Ask questions – If you don’t understand the problem, ask.

• Keep your work clean – Write clean code and organized reports.

• Communicate clearly – Tell your client what you’re doing and how.

• Collect testimonials – After a good project, ask your client to write a review.

• Stay humble and honest – It’s okay to say "I don't know" — but always be ready to learn.

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Real Story: Meet Priya, a Freelancer from Delhi

Priya completed her Data Analytics course from Uncodemy in Delhi. She wasn’t sure about doing a 9-to-5 job. So, she started freelancing.

At first, she took small projects on Upwork, like cleaning Excel sheets and making simple dashboards. Slowly, her confidence grew. After 6 months, she was working with international clients from the USA and UK. Now, she earns around ₹80,000 per month — working just 4-5 hours a day!

Her secret? “I just used what I learned at Uncodemy and kept practicing,” she says.

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How Uncodemy Helps You Succeed

Uncodemy is not just a place to learn. It’s a community that supports your growth. Here’s how:

• Live practical training – Learn by doing real projects

• Industry expert mentors – Get tips from those who work in top companies

• Job and freelance guidance – Learn how to apply, pitch, and win projects

• Lifetime access to content – Keep learning even after your course

• Affordable fees – High-quality learning at low cost

Whether you want a job or want to start your freelance journey, Uncodemy is your best companion.

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Final Thoughts

Freelancing after completing a Data Analytics course in delhi is a smart and exciting option. It gives you the freedom to work on your own terms, earn well, and keep growing.

With the strong foundation provided by Uncodemy, you can confidently step into the freelance world. Start small, stay consistent, and keep learning — success will follow.

So don’t wait. If you haven’t joined yet, enroll in Uncodemy’s Data Analytics course and begin your journey today. And if you’ve already completed it, your freelancing career is just one step away.

Data Analytics Course in Delhi for Non-Tech Background Students | Uncodemy

 Are you from a non-technical background and wondering if you can build a career in data analytics? The answer is YES! With the right guidance and training, anyone can become a data analyst — no coding experience or technical degree needed. At Uncodemy, we offer a specially designed Data Analytics Course in Delhi for students and professionals from non-tech backgrounds.

In this article, we’ll explain everything you need to know about data analytics, how non-tech people can learn it, and why Uncodemy is the best place to start your data analytics journey in Delhi.

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What is Data Analytics?

Data analytics is the process of collecting, organizing, and analyzing data to find useful information. This helps businesses and organizations make better decisions.

For example:

• A retail store can use data analytics to know which products are selling the most.

• A school can use data to understand which students need extra help.

• A company can study customer data to improve its services.

In simple words, data analytics helps in finding meaning from numbers and using it to take smart actions.

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Can Non-Tech Students Learn Data Analytics?

Absolutely! Many people think that only computer engineers or IT professionals can learn data analytics. But that is not true. Even if you are from arts, commerce, or any non-technical background, you can easily learn data analytics if:

• You are comfortable using a computer.

• You have basic knowledge of Excel.

• You are ready to learn and practice regularly.

At Uncodemy, we teach everything from scratch. You do not need to know coding or mathematics in advance. Our expert trainers make complex topics very simple for beginners.

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Why Should Non-Tech Students Learn Data Analytics?

Here are some great reasons why you should consider learning data analytics:

1. High Demand and Good Salary

Data analysts are in high demand in almost every industry — from healthcare to finance to e-commerce. Companies are looking for people who can understand data and help them grow. And because the demand is high, the salary is also very attractive.

2. Job Opportunities in All Fields

Whether you are from B.Com, B.A., B.Sc., or any non-technical stream, there is a job for you in data analytics. You can work in banks, hospitals, online companies, government offices, and more.

3. No Coding Required

At the beginner level, you don’t need any programming knowledge. Tools like Excel, Power BI, and Tableau make it easy to analyze data without writing code.

4. Flexible Career Options

Once you learn data analytics, you can work as a:

• Data Analyst

• Business Analyst

• Data Visualization Expert

• Research Analyst

• Marketing Analyst

And later, you can move into more advanced roles like Data Scientist or Machine Learning Engineer.

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What Will You Learn in Uncodemy’s Data Analytics Course in Delhi?

At Uncodemy, we follow a step-by-step learning path. Our course is specially designed for beginners and non-tech students. Here's what you will learn:

1. Basic Excel and Advanced Excel

• How to use formulas and functions

• Data cleaning and formatting

• Pivot tables and charts

• Shortcuts and tricks to save time

2. SQL (Structured Query Language)

• Basics of databases

• Writing simple SQL queries

• Sorting and filtering data

• Joining multiple tables

3. Data Visualization with Power BI

• Creating beautiful charts and dashboards

• Understanding business reports

• Making interactive visuals

4. Tableau Basics

• Drag and drop visualizations

• Building dashboards

• Connecting data sources

5. Introduction to Python (Optional)

• Simple Python for data analysis (only if you’re interested)

• Using libraries like Pandas and NumPy

6. Real-Time Projects

• Work on real datasets

• Solve real business problems

• Build a portfolio to show employers

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Why Choose Uncodemy for Data Analytics Course in Delhi?

There are many coaching centers and online platforms, but here’s why Uncodemy is the best choice for you:

✅ Beginner-Friendly Curriculum

We understand that you may not have any technical background. That’s why our course starts from the basics and slowly moves to advanced topics. Everything is taught in simple, everyday language.

✅ Live Online and Offline Classes

You can choose to attend classes at our center in Delhi or join live online classes from home. All sessions are interactive, and you can ask questions anytime.

✅ Industry Expert Trainers

Our trainers are professionals working in top companies. They know what skills are needed in real jobs and teach with practical examples.

✅ Placement Assistance

We don’t just teach — we also help you get placed. You will get:

• Resume building help

• Interview preparation

• Mock interviews

• Job referrals

✅ Affordable Fees

Quality education doesn’t have to be expensive. Our course fee is very reasonable, and we also offer easy EMI options.

✅ Free Demo Class

Not sure if the course is right for you? Join our free demo class and experience our teaching style.

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Who Can Join This Course?

You can join this course if you are:

• A student from B.A., B.Com., B.Sc., or any non-tech stream

• A working professional from finance, sales, HR, or marketing

• A fresher looking for a career in IT or analytics

• Someone looking for a career switch into data

No prior experience or knowledge is required.

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Success Stories from Our Students

Many of our students from non-tech backgrounds are now working in top companies like TCS, Infosys, Deloitte, and Accenture. Here are a few stories:

Anjali (B.Com Graduate)
Anjali joined Uncodemy after completing B.Com. She had no idea about analytics or coding. After finishing the course, she got a job as a Data Analyst in a Delhi-based startup with a salary of ₹4.5 LPA.

Ravi (HR Executive)
Ravi was working in HR and wanted to switch to a more exciting career. He joined our weekend batch and learned data analytics in 4 months. Today, he is working as a Business Analyst in a multinational company.

Neha (MBA Student)
Neha was doing her MBA and wanted to improve her job profile. She took the course alongside her studies. Her final placement was in a top consulting firm as a Data Analyst.

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What Tools and Software Will You Use?

You will get hands-on training in the following tools:

• Microsoft Excel

• SQL

• Power BI

• Tableau

• Google Sheets

• Python (Optional)

These tools are widely used in the industry and will make you job-ready.

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Duration and Course Fees

• Duration: 3 to 5 months (depending on your learning speed)

• Mode: Online & Offline

• Fee: Contact Uncodemy for latest fee structure and EMI options

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How to Enroll?

It’s simple to get started. Just follow these steps:

1. Visit Uncodemy’s website

2. Register for a free demo class

3. Talk to our counselor

4. Choose your batch (weekday or weekend)

5. Start learning!

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Final Thoughts

A career in data analytics is perfect for non-tech students who want to enter the growing world of data. You don’t need to be a computer expert or a coder. You just need curiosity, commitment, and the right guidance.

Uncodemy’s Data Analytics course in delhi is designed to help you learn in the easiest way possible. With expert mentors, hands-on projects, and job support — your dream career is just one step away.

So what are you waiting for?

Take the first step with Uncodemy and unlock the power of data!

How to Transition from IT to Data Science with a Data Analytics Course in Delhi

 In today’s fast-changing world of technology, many professionals from IT backgrounds are thinking about switching to data science. And it’s easy to see why—data science is exciting, growing fast, and offers great salaries and job opportunities. If you are working in IT and wondering how to make the jump into data science, then this article is for you. We will walk you through the steps, skills you need, and how a Data Analytics Course in Delhi by Uncodemy can help make your transition smooth and successful.

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Why Switch from IT to Data Science?

Before we dive into the how, let’s quickly understand the why. If you’re from an IT background, you already have technical knowledge. You understand systems, maybe know some programming, and can solve problems. These are great starting points for a career in data science.

Here are some strong reasons to consider the switch:

• High Demand: Companies in all industries need data scientists to make smarter decisions.

• Attractive Salaries: Data scientists often earn more than many IT roles.

• Interesting Work: You get to work with data, find insights, build models, and solve real problems.

• Flexible Career Options: After entering data science, you can specialize in fields like AI, machine learning, or business intelligence.

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Is an IT Background Helpful in Data Science?

Absolutely! If you have experience in:

• Programming languages like Java, Python, or SQL

• Working with databases

• Writing code and debugging

• Understanding algorithms or data structures

Then you're already ahead of many beginners. Data science builds on these skills, especially in areas like data cleaning, automation, and working with large datasets.

So, rather than starting from scratch, you are actually shifting gears. A data analytics course helps you bridge the gap between what you know and what you need to learn.

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What is Data Science?

In simple words, data science is the process of using data to make better decisions. It involves:

• Collecting Data

• Cleaning and Preparing Data

• Analyzing Data using Statistics and Tools

• Creating Predictive Models

• Presenting Findings using Charts and Dashboards

In short, data science turns raw information into valuable insights.

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The Role of a Data Analytics Course in Your Transition

If you want to move from IT to data science, the most important step is getting the right training. That’s where Uncodemy’s Data Analytics Course in Delhi comes in.

Here’s what the course offers:

1. Beginner-Friendly Learning

The course starts from the basics. Even if you’ve never worked with data before, you’ll learn step by step. Concepts are explained clearly and with real-life examples.

2. Focus on Practical Skills

You won’t just learn theory. You’ll work on real projects that help you build a strong portfolio. That’s important when you apply for jobs.

3. Covers All Key Tools

The course teaches tools and technologies that companies actually use, such as:

• Excel

• SQL

• Python

• Power BI

• Tableau

• Machine Learning Basics

4. Hands-On Projects

You’ll complete projects like:

• Sales forecasting

• Customer segmentation

• Dashboard creation

• Data cleaning and analysis

These projects are great for your resume and job interviews.

5. Job Support and Career Guidance

Uncodemy doesn’t stop at training. We help you with:

• Resume building

• Interview preparation

• Job placement assistance

• Career counseling

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Steps to Switch from IT to Data Science

Now let’s look at the actual steps you should take.

Step 1: Understand the Role of a Data Scientist

Before switching careers, it's important to know what a data scientist does daily. They gather data, analyze it, and create models or dashboards. Read job descriptions, talk to people in the field, and explore different roles like:

• Data Analyst

• Machine Learning Engineer

• Business Intelligence Analyst

This helps you choose the right direction.

Step 2: Learn the Basics

Start by learning the foundations:

• What is data?

• What are statistics and probability?

• How does Python or SQL work?

You can start watching free tutorials or reading articles online. Once you’re sure this is what you want, move to structured training.

Step 3: Join a Data Analytics Course

This is where Uncodemy can truly help. Our Data Analytics course in delhi is designed to take you from beginner to job-ready in a few months.

By joining the course, you’ll:

• Follow a clear path

• Learn from experienced trainers

• Work on real datasets

• Get regular tests and feedback

Step 4: Work on Real Projects

The best way to learn is by doing. Try to apply your knowledge through:

• Capstone projects

• Internships

• Freelance data analysis work

This builds your confidence and shows employers what you can do.

Step 5: Build a Portfolio

Create a collection of your work that you can show to hiring managers. Use GitHub or create your own blog. Include:

• Problem statement

• Tools used

• What insights you found

• Screenshots or visualizations

Step 6: Apply for Data Analyst or Junior Data Scientist Roles

Start with entry-level roles. Your IT background will help you stand out. With time, you can move into more advanced roles like data scientist or machine learning engineer.

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Why Choose Uncodemy’s Data Analytics Course in Delhi?

You might wonder why you should pick Uncodemy over other training institutes. Here are a few reasons:

✅ Experienced Mentors

Our trainers come from top companies and have real-world data experience.

✅ Affordable Fees

We offer high-quality training at a price that is pocket-friendly.

✅ Flexible Timings

Whether you are working or a student, we have weekend and evening batches.

✅ Certification

You get a recognized certificate that adds value to your resume.

✅ Placement Assistance

We help you connect with companies and prepare you for interviews.

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What Skills Will You Gain from the Course?

By the end of the course, you’ll be able to:

• Clean and organize large datasets

• Write complex SQL queries

• Analyze data using Python and Excel

• Create reports and dashboards in Power BI and Tableau

• Understand the basics of machine learning

• Solve real-world business problems using data

These are exactly the skills companies are looking for!

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Frequently Asked Questions (FAQs)

Q: Do I need to be good at math to become a data scientist?

A: Basic knowledge of math and statistics helps, but you don’t need to be an expert. Our course explains concepts in simple language.

Q: Can I do this course while working full-time in IT?

A: Yes! Our flexible schedule makes it easy for working professionals to learn at their own pace.

Q: What if I don’t have a computer science degree?

A: No problem. You just need basic computer knowledge and a willingness to learn.

Q: How long does it take to switch from IT to data science?

A: With consistent effort and the right training, you can make the switch in 4–6 months.

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Final Words

Changing careers can be scary, but also very rewarding. If you’re from an IT background, you already have many skills that make learning data science easier. The key is to take the right steps—and that starts with enrolling in a trusted training program.

At Uncodemy, we’re here to help you at every stage. From learning to job placement, we support your journey all the way.

So, if you're ready to take the first step toward a high-paying and future-proof career, join our Data Analytics Course in Delhi today!

Ready to switch your career? Let Uncodemy guide you into the world of data!

Essential Tips for First-Time Dog Breed Owners: Choosing the Right Pup

 By Dognizant

Owning a dog for the first time can be an exciting and rewarding experience, but it’s also a big responsibility. There’s a lot to consider before bringing a puppy into your home. One of the most crucial steps is choosing the right breed that matches your lifestyle, personality, and living situation. With so many dog breeds to choose from, how do you know which one is the best fit for you?

This article will guide first time dog breed owners through the essential tips for choosing the right dog breed. We’ll cover everything from understanding your needs, learning about different dog breeds, and selecting a puppy that will thrive in your home.

1. Assess Your Lifestyle and Living Situation

The first step in choosing the right dog breed is to understand your lifestyle and living situation. Different dog breeds have unique needs, and what works for one person may not work for another. Before you even start looking at breeds, ask yourself these questions:

• How much space do I have?
  If you live in a small apartment, you may want to consider breeds that are smaller in size and don’t require a lot of exercise. Larger dogs may need more room to move around and play.

• How much time can I commit to my dog?
  Dogs require time, attention, and exercise. Some breeds have higher energy levels and need more playtime and training, while others may be more relaxed. Consider how much time you can dedicate to your dog on a daily basis.

• Do I have young children or other pets?
  Some dog breeds are better suited for families with children, while others may not be as patient or tolerant. Similarly, some breeds get along well with other pets, while others prefer to be the only animal in the household.

• Do I have any health considerations?
  If you have any allergies, it’s essential to consider breeds that are hypoallergenic or shed less. Some breeds can cause allergic reactions in sensitive individuals, so make sure to research allergy-friendly options.

2. Research Different Dog Breeds

Once you’ve assessed your needs and lifestyle, it’s time to research different dog breeds. Each breed has its own set of characteristics, including size, temperament, energy levels, and grooming requirements. Here are a few popular dog breeds for first-time owners:

• Labrador Retriever
  Labradors are friendly, energetic, and easy to train, making them a great choice for first-time owners. They are good with kids and other pets, making them a popular family dog. Labs also require regular exercise, so they are best for active individuals or families.

• Beagle
  Beagles are small to medium-sized dogs with a friendly and curious nature. They’re great for families with children and are relatively easy to train. However, they have a strong sense of smell and may be prone to following scents, so they need a secure yard and supervision.

• Cavalier King Charles Spaniel
  If you’re looking for a smaller, affectionate dog, the Cavalier King Charles Spaniel could be a perfect choice. These dogs are gentle, loveable, and do well in apartments or smaller homes. They enjoy being with their owners and thrive on attention.

• Poodle
  Poodles come in different sizes (toy, miniature, and standard) and are known for being intelligent and easy to train. They are also hypoallergenic, making them a good option for allergy sufferers. Poodles are active and need regular exercise, but they also enjoy cuddling and being part of family activities.

• Shih Tzu
  Shih Tzus are small, affectionate dogs that make great companions. They’re generally easygoing and don’t require a lot of exercise, making them ideal for first-time owners in apartments. However, they do require regular grooming to keep their coat in good condition.

• French Bulldog
  French Bulldogs are small, easygoing dogs that don’t require much exercise. They are ideal for people who live in apartments or have limited space. French Bulldogs are known for their affectionate nature and can be great companions.

3. Consider the Dog’s Temperament

While looks and size are important when choosing a dog, temperament is equally crucial. A dog’s personality can affect how it interacts with you, your family, and other pets. Here are a few factors to keep in mind regarding temperament:

• Energy Levels: Some dogs are very active and require a lot of exercise and stimulation, while others are more laid-back. Consider your daily activity level and whether you have time to keep up with a high-energy dog.

• Socialization: Dogs that are well-socialized tend to get along better with people and other pets. Some breeds are naturally more social, while others may be more independent or aloof. If you have children or other pets, you’ll want a breed that is friendly and easy to get along with.

• Trainability: Some dogs are easier to train than others. If you’re a first-time dog owner, consider a breed that is known for being easy to train and eager to please. Breeds like the Labrador Retriever, Golden Retriever, and Border Collie are known for their trainability.

• Barking and Noise Levels: If you live in an apartment or close quarters with neighbors, consider a breed that isn’t excessively noisy. Some dogs are prone to barking, while others are more quiet and reserved.

4. Consider Grooming and Maintenance

Every dog requires some level of grooming, but some breeds require more care than others. Think about how much time you’re willing to spend on grooming when choosing a dog. Some breeds have coats that need regular trimming, while others only need occasional brushing.

• Low-maintenance Breeds: Breeds like Beagles, French Bulldogs, and Pugs are low-maintenance when it comes to grooming. They have short coats that don’t require much care, except for regular baths and brushing.

• High-maintenance Breeds: Breeds like Poodles, Shih Tzus, and Afghan Hounds have long or curly coats that require frequent grooming and trimming. These dogs are often best for owners who don’t mind spending time on grooming.

Additionally, keep in mind that regular grooming is essential for your dog’s health. Regular brushing helps prevent matting, reduces shedding, and keeps your dog comfortable.

5. Budget for Care and Expenses

Before bringing a puppy into your home, make sure you’re financially prepared. Owning a dog can be costly, especially in the first few years. Here are some expenses to keep in mind:

• Veterinary Care: Routine veterinary visits, vaccinations, and preventive care are essential for your dog’s health. Regular checkups will help catch any health issues early on.

• Food and Supplies: High-quality dog food and supplies like leashes, collars, toys, bedding, and grooming tools can add up quickly. Be sure to budget for these essential items.

• Training: If you’re a first-time dog owner, you may want to invest in puppy training or obedience classes. These classes help teach your dog important skills and behaviors, making your relationship stronger and more harmonious.

• Emergency Costs: Unexpected veterinary bills can arise, so it’s important to have an emergency fund set aside for your dog’s health.

6. Adoption vs. Buying from a Breeder

When choosing a dog, you’ll also need to decide whether to adopt or buy from a breeder. Both options have their pros and cons, and the choice ultimately depends on your preferences and values.

• Adoption: Adopting a dog from a shelter or rescue organization can be a rewarding experience. There are many dogs in need of loving homes, and adoption is often less expensive than buying from a breeder. Many rescue organizations will also help match you with a breed that fits your lifestyle.

• Buying from a Breeder: If you’re looking for a specific breed or want a puppy with a known background, buying from a reputable breeder may be the best choice. However, it’s essential to do your research and find a breeder who prioritizes the health and well-being of their dogs.

7. Prepare Your Home for Your New Dog

Before bringing your new dog home, make sure your living space is ready for them. Set up a designated area for your dog with a bed, food and water bowls, toys, and a crate. Puppy-proof your home by removing any hazardous items or obstacles that could harm your dog.

Conclusion

Choosing the right dog breed is an exciting first step in becoming a responsible dog owner. By considering your lifestyle, researching different breeds, and understanding the unique needs of your new dog, you can ensure a successful and happy relationship with your furry friend. Remember that owning a dog is a long-term commitment that requires time, patience, and love.

At Dognizant, we believe in helping first-time dog owners make informed decisions and provide the best care for their dogs. Whether you’re a first-time dog owner or looking to add another member to your family, taking the time to choose the right dog breed will set you up for a lifetime of happiness and companionship with your new pup.