<p>Begin your journey into the world of programming with our <strong>Foundation + Full Stack Development Course</strong> 💻</p>
<p>This course is specially designed to take you from <strong>basic concepts to advanced development skills</strong>, making you ready for real-world opportunities in the tech industry.</p>
<p>📅 <strong>New Batch Starts:</strong> 21st April<br />
⏰ <strong>Time:</strong> 4:00 PM</p>
<hr />
<h3>📚 What You Will Learn:</h3>
<p>🔹 <strong>Foundation Course (Offline)</strong><br />
Build a strong base in programming with:</p>
<ul>
	<li>C Programming</li>
	<li>Java</li>
	<li>Data Structures &amp; Algorithms (DSA with Java)</li>
</ul>
<hr />
<p>🔹 <strong>Full Stack Development (Online)</strong><br />
Master modern web development technologies:</p>
<ul>
	<li>HTML, CSS, Bootstrap</li>
	<li>JavaScript</li>
	<li>React</li>
	<li>Node.js &amp; Express</li>
	<li>MongoDB &amp; SQL</li>
</ul>
<hr />
<h3>🎯 Why Join This Course?</h3>
<p>✔ Step-by-step learning from beginner to advanced level<br />
✔ Hands-on practical coding experience<br />
✔ Industry-relevant skills and tools<br />
✔ Perfect for students, beginners &amp; job seekers</p>
<hr />
<p>⚡ <strong>Limited Seats Available &ndash; Secure your spot now and start your coding journey!</strong></p>

Foundation + Full Stack(Live with Recored 21-Apr-26,4:00PM)

PROGRAMMING CLASSES

<h1>📊 Data Analyst Course</h1>
<h2>🚀 Become a Job-Ready Data Analyst</h2>
<p>Start your journey into the world of data with our <strong>complete Data Analyst Course</strong>, designed for beginners and professionals. Learn the most in-demand tools and gain hands-on experience with real-world datasets.</p>
<hr />
<h2>📅 Batch Details</h2>
<ul>
	<li><strong>New Batch Starting:</strong> 11&nbsp;May&nbsp;2026</li>
	<li><strong>Class Timing:</strong> 09:00 PM</li>
	<li><strong>Mode:</strong> Online + Offline (Live Classes)</li>
</ul>
<hr />
<h2>📚 What You&rsquo;ll Learn</h2>
<p>✔ Python for Data Analysis<br />
✔ SQL for Data Querying<br />
✔ Advanced Excel (Dashboards &amp; Automation)<br />
✔ Power BI for Visualization<br />
✔ Statistics for Data Understanding</p>
<hr />
<h2>💡 Why Choose This Course?</h2>
<p>✔ Beginner Friendly (No Coding Required)<br />
✔ Live + Recorded Classes<br />
✔ Real-Time Projects &amp; Case Studies<br />
✔ Doubt Support &amp; Mentorship<br />
✔ Resume + Interview Preparation<br />
✔ Placement Assistance</p>
<hr />
<h2>🧑&zwj;💼 Who This Course is For</h2>
<ul>
	<li>Students &amp; Fresh Graduates</li>
	<li>Job Seekers</li>
	<li>Working Professionals</li>
	<li>Career Switchers</li>
</ul>
<hr />
<h2>📈 Career Opportunities</h2>
<ul>
	<li>Data Analyst</li>
	<li>Business Analyst</li>
	<li>MIS Analyst</li>
	<li>Reporting Analyst</li>
</ul>
<hr />
<h2>⏳ Course Details</h2>
<ul>
	<li>Duration: 6-&nbsp;Month</li>
	<li>Level: Beginner to Advanced</li>
</ul>
<hr />
<h2>🎯 Outcome</h2>
<p>By the end of this course, you will be able to:<br />
✔ Analyze real-world data<br />
✔ Build dashboards &amp; reports<br />
✔ Crack Data Analyst interviews</p>
<hr />
<h2>🔥 Enroll Now</h2>
<p>👉 Limited seats available.</p>

Data Analysis(Live+Recorded 11-May-26,9:00PM))

<p><strong>C Language Course Description</strong></p>
<p>Join our <strong>C Programming Course</strong> and learn programming from basic to advanced with a practical, hands-on approach. This course is designed for beginners and students who want to build strong programming fundamentals for software development, DSA, and interview preparation.</p>
<p><strong>Topics Covered:</strong></p>
<ul>
	<li>Introduction to C and program structure</li>
	<li>Variables, data types, and operators</li>
	<li>Input/Output functions</li>
	<li>Conditional statements (<code>if</code>, <code>switch</code>)</li>
	<li>Loops (<code>for</code>, <code>while</code>, <code>do-while</code>)</li>
	<li>Arrays and strings</li>
	<li>Functions and recursion</li>
	<li>Pointers</li>
	<li>Structures and unions</li>
	<li>Dynamic memory allocation</li>
	<li>File handling</li>
	<li>Problem-solving and mini projects</li>
</ul>
<p><strong>Batch Details:</strong><br />
📅 Start Date: <strong>18-May-2026</strong><br />
⏰ Batch Timing: <strong>4:00 PM</strong><br />
⏳ Duration: <strong>2 Months</strong></p>
<p><strong>Who can join?</strong></p>
<ul>
	<li>Beginners</li>
	<li>Students</li>
	<li>DSA learners</li>
	<li>Programming enthusiasts</li>
</ul>
<p><strong>Outcome:</strong><br />
By the end of this course, students will be able to write C programs confidently and build a strong foundation for advanced programming concepts.</p>

C-Language Batch(18-05-26)

<p>Join our comprehensive Python training program designed for beginners and aspiring developers. Learn Python from scratch with practical examples, real-world projects, and hands-on practice.</p>
<p>📅 <strong>Batch Start Date:</strong> 15 June 2026<br />
⏰ <strong>Time:</strong> 10:30 AM<br />
💻 <strong>Mode:</strong> Online<br />
💰 <strong>Course Fee:</strong> ₹2499/-</p>
<h3>📚 Course Topics</h3>
<ul>
	<li>Basic Python</li>
	<li>Tuple</li>
	<li>Set</li>
	<li>Exception Handling</li>
	<li>NumPy</li>
	<li>List</li>
	<li>Dictionary</li>
	<li>OOPs</li>
	<li>File Handling</li>
	<li>Pandas</li>
</ul>
<p>🎯 Whether you are a student, working professional, or coding enthusiast, this course will help you build a strong foundation in Python programming.</p>

PYTHON(15-Jun-26,10:30AM)

<p>🚀 <strong>Become a Job-Ready Data Analyst with Industry-Focused Training!</strong></p>
<p>Join our <strong>Data Analyst Course</strong> and build the skills required to succeed in today&rsquo;s data-driven world. This course is specially designed for students, freshers, and working professionals who want to start or grow their career in data analytics. Learn through practical sessions, live projects, and real-world case studies under expert guidance.</p>
<p>📅 <strong>Batch Starting:</strong> 15 June 2026<br />
⏰ <strong>Time:</strong> 10:30 PM</p>
<h3>📚 Course Modules</h3>
<ul>
	<li>Python for Data Analysis</li>
	<li>SQL Database Management</li>
	<li>Advanced Excel</li>
	<li>Power BI Dashboarding</li>
	<li>Statistics for Data Analytics</li>
</ul>
<h3>🎯 What You Will Learn</h3>
<ul>
	<li>Data cleaning and preprocessing</li>
	<li>Data visualization and dashboard creation</li>
	<li>Query writing and database handling</li>
	<li>Business insights and reporting</li>
	<li>Real-time analytics projects</li>
</ul>
<p>✅ Hands-on Training<br />
✅ Practical Assignments<br />
✅ Live Projects<br />
✅ Career Guidance &amp; Support</p>
<p>📍 <strong>Address:</strong><br />
2nd/3rd Floor, Jagdamba Tower, Sahdeo Mahto Marg, Boring Rd, Patna, Bihar 800001</p>
<p>📞 <strong>Contact:</strong> +91 7488435045</p>

DATA ANALYSIS Live Classes(15-Jun-26,10:30AM)

<p>🚀 A <strong>Python Programming Batch</strong> is starting from <strong>11th May at 09:00 PM (Online Mode)</strong>. This course is designed for <strong>beginners as well as working professionals</strong>, especially those who want to build a career in <strong>Data Analysis</strong>.</p>
<hr />
<h2>🎯 Course Highlights</h2>
<p>The course covers all essential Python and data-related topics:</p>
<ul>
	<li>✅ Basic Python (fundamentals &amp; syntax)</li>
	<li>✅ Data Structures:
	<ul>
		<li>List</li>
		<li>Tuple</li>
		<li>Dictionary</li>
		<li>Set</li>
	</ul>
	</li>
	<li>✅ OOPs (Object-Oriented Programming)</li>
	<li>✅ Exception Handling</li>
	<li>✅ File Handling</li>
	<li>✅ Libraries for Data Analysis:
	<ul>
		<li>NumPy</li>
		<li>Pandas</li>
	</ul>
	</li>
</ul>
<hr />
<h2>💡 Who Should Join?</h2>
<p>👉 Beginners who want to start Python<br />
👉 <strong>Working professionals</strong> looking to upgrade their skills<br />
👉 Those who want to move into <strong>Data Analysis</strong><br />
👉 Students preparing for job-oriented skills</p>
<hr />
<h2>💡 Learning Benefits</h2>
<p>👉 Practical learning with real-time examples<br />
👉 Live classes + recorded videos for revision<br />
👉 Handwritten notes will be provided<br />
👉 Easy and beginner-friendly teaching style</p>
<hr />
<h2>💰 Course Fee</h2>
<p>💸 <strong>₹2499/- (Online Mode)</strong></p>
<hr />
<h2>📞 Enrollment Details</h2>
<p>📲 Call to enroll: <strong>+91 7488435045</strong></p>
<hr />
<h2>🔥 Summary</h2>
<p>👉 This course is ideal for both <strong>freshers and professionals</strong> who want to:</p>
<ul>
	<li>Learn Python from scratch</li>
	<li>Transition into <strong>Data Analysis</strong></li>
	<li>Upgrade their career with in-demand skills</li>
</ul>

Python(Live+Recored)11-May-26,9:00PM

<h1>📊 Data Analyst Course</h1>
<h2>🚀 Become a Job-Ready Data Analyst</h2>
<p>Start your journey into the world of data with our <strong>complete Data Analyst Course</strong>, designed for beginners and professionals. Learn the most in-demand tools and gain hands-on experience with real-world datasets.</p>
<hr />
<h2>📅 Batch Details</h2>
<ul>
	<li><strong>New Batch Starting:</strong> 13 April 2026</li>
	<li><strong>Class Timing:</strong> 03:00 PM</li>
	<li><strong>Mode:</strong> Online + Offline (Live Classes)</li>
</ul>
<hr />
<h2>📚 What You&rsquo;ll Learn</h2>
<p>✔ Python for Data Analysis<br />
✔ SQL for Data Querying<br />
✔ Advanced Excel (Dashboards &amp; Automation)<br />
✔ Power BI for Visualization<br />
✔ Statistics for Data Understanding</p>
<hr />
<h2>💡 Why Choose This Course?</h2>
<p>✔ Beginner Friendly (No Coding Required)<br />
✔ Live + Recorded Classes<br />
✔ Real-Time Projects &amp; Case Studies<br />
✔ Doubt Support &amp; Mentorship<br />
✔ Resume + Interview Preparation<br />
✔ Placement Assistance</p>
<hr />
<h2>🧑&zwj;💼 Who This Course is For</h2>
<ul>
	<li>Students &amp; Fresh Graduates</li>
	<li>Job Seekers</li>
	<li>Working Professionals</li>
	<li>Career Switchers</li>
</ul>
<hr />
<h2>📈 Career Opportunities</h2>
<ul>
	<li>Data Analyst</li>
	<li>Business Analyst</li>
	<li>MIS Analyst</li>
	<li>Reporting Analyst</li>
</ul>
<hr />
<h2>⏳ Course Details</h2>
<ul>
	<li>Duration: 8&ndash;12 Weeks</li>
	<li>Level: Beginner to Advanced</li>
</ul>
<hr />
<h2>🎯 Outcome</h2>
<p>By the end of this course, you will be able to:<br />
✔ Analyze real-world data<br />
✔ Build dashboards &amp; reports<br />
✔ Crack Data Analyst interviews</p>
<hr />
<h2>🔥 Enroll Now</h2>
<p>👉 Limited seats available &mdash; <strong>Book your free demo today!</strong></p>

Data Analysis(13-04-26, Time 3:00pm)

<h2>📊 SQL for Data Analysis</h2>
<p><strong>Unlock the power of data with SQL!</strong><br />
This course is designed to help you master <strong>Structured Query Language (SQL)</strong> for real-world data analysis. Whether you&#39;re a beginner or looking to upgrade your skills, this course will take you from <strong>basic queries to advanced data insights</strong>.</p>
<p>You will learn how to <strong>extract, filter, manipulate, and analyze data</strong> stored in databases &mdash; a must-have skill for every Data Analyst.</p>
<hr />
<h2>🔹 What You Will Learn</h2>
<ul>
	<li>Fundamentals of SQL (SELECT, WHERE, ORDER BY)</li>
	<li>Filtering and sorting data efficiently</li>
	<li>Working with multiple tables using <strong>JOINs</strong></li>
	<li>Aggregation functions (SUM, COUNT, AVG, MIN, MAX)</li>
	<li>Grouping data using <strong>GROUP BY &amp; HAVING</strong></li>
	<li>Subqueries and nested queries</li>
	<li>Window functions for advanced analysis</li>
	<li>Real-world data analysis scenarios</li>
	<li>Data cleaning using SQL</li>
	<li>Writing optimized and efficient queries</li>
</ul>
<h2>Who Should Join?</h2>
<ul>
	<li>Beginners in Data Analysis</li>
	<li>Students &amp; Freshers</li>
	<li>Working professionals switching to Data roles</li>
	<li>Anyone interested in working with data</li>
</ul>
<h2>Real-World Applications</h2>
<ul>
	<li>Sales &amp; business data analysis</li>
	<li>Customer behavior analysis</li>
	<li>Reporting &amp; dashboard preparation</li>
	<li>Data cleaning and transformation</li>
</ul>
<h2>Course Outcome</h2>
<p>By the end of this course, you will be able to:</p>
<ul>
	<li>Write complex SQL queries confidently</li>
	<li>Analyze large datasets</li>
	<li>Solve real-world business problems using data</li>
	<li>Prepare for Data Analyst job roles</li>
</ul>

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