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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<meta name="description" content="We offer complete resources for data science, which helps students in their academics as well as aspiring data scientist to learn data science in depth">
<meta name="keywords" content="data scientist, data science, what is data scientist, data scientist course, data science course, free data science course">
<title>Data Science Portal | A complete resources to become a Data Scientist</title>
<!-- CSS FILE LINK -->
<link rel="stylesheet" href="./css/style.css">
<!-- BOOTSTRAP 4.7 CDN -->
<link
rel="stylesheet"
href="https://stackpath.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css"
/>
<!-- TAILWIND CSS -->
<link
href="https://unpkg.com/tailwindcss@^1.0/dist/tailwind.min.css"
rel="stylesheet"
/>
<!-- ICONSCOUT CDN -->
<link
rel="stylesheet"
href="https://unicons.iconscout.com/release/v2.1.6/css/unicons.css"
/>
<!-- GOOGLE FONTS (MONTSERRAT) -->
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link
href="https://fonts.googleapis.com/css2?family=Montserrat:wght@300;400;500;600;700;800;900&display=swap"
rel="stylesheet"
/>
<!-- SWIPER JS -->
<link
rel="stylesheet"
href="https://unpkg.com/swiper@7/swiper-bundle.min.css"
/>
<!--Favicon-->
<link rel="icon" href="images/data-sciencee.png" />
<!-- icon pack -->
<link
href="https://unpkg.com/boxicons@2.1.1/css/boxicons.min.css"
rel="stylesheet"
/>
<!-- Chat Bot -->
<link rel="stylesheet" href="/chatbot/style.css" />
<link href="https://unpkg.com/aos@2.3.1/dist/aos.css" rel="stylesheet"/>
</head>
<body>
<!--header>
<nav>
<div class="container nav__container grad">
<!-<div class="logo">
<img src="./images/logo.png" alt="">
</div>->
<a href="index.html">
<h4>DATA SCIENCE</h4>
</a>
<ul class="nav__menu">
<li><a href="index.html">Home</a></li>
<li><a href="#about">About</a></li>
<li><a href="#courses">Courses</a></li>
<li><a href="#faqs">FAQ</a></li>
<li><a href="contact/index.html">Contact</a></li>
<li><a class="signup" href="./login/index.html">Sign Up</a></li>
</ul>
<button id="open-menu-btn"><i class="uil uil-bars"></i></button>
<button id="close-menu-btn"><i class="uil uil-multiply"></i></button>
</div>
</nav>
</header>
<!-========================== END OF NAVBAR ============================->
<main>
<section class="landingpg text-gray-400 body-font">
<div class="shape">
<img class="shape1" src="images/shape1.svg" alt="shape_illustration_1" />
<img class="shape2" src="images/shape1.svg" alt="shape_illustration_2" />
<img class="shape3" src="images/shape1.svg" alt="shape_illustration_3" />
<img class="shape4" src="images/shape1.svg" alt="shape_illustration_4" />
<img class="shape5" src="images/shape1.svg" alt="shape_illustration_5" />
</div>
<div
class="container mx-auto flex px-5 py-24 md:flex-row flex-col items-center"
>
<div
class="grad1 button lg:flex-grow md:w-1/2 lg:pr-24 md:pr-16 flex flex-col md:items-start md:text-left mb-16 md:mb-0 items-center text-center"
>
<h1
class="pge1 title-font sm:text-4xl text-3xl mb-4 font-medium text-white"
>
<b>
Learn <br /><span>Data Science</span>
<br class="hidden lg:inline-block" />
Interactively</b
>
</h1>
<!- <p class="para1 mb-8">Build projects, practice and learn to code from scratch - without leaving your browser.</p> ->
<h1>
<p
href=""
class="typewrite"
data-period="2000"
style="font-size: 0.7em"
data-type='[ "Data is future.", "Data is big.", "Data is beautiful.", "Data is valuable.", "Data is growing." ]'
>
<span class="wrap"></span>
</p>
</h1>
<a href="#" class="bttn bttn-prrimary btn-top"
><span>Get Started</span></a
>
</div>
<div class="imgg lg:max-w-lg lg:w-full md:w-1/2 w-5/6">
<img
class="object-cover object-center rounded"
alt="hero"
src="./images/1.png"
/>
</div>
</div-->
<header>
<nav class="navbar">
<div class="container nav__container grad">
<!--<div class="logo">
<img src="./images/logo.png" alt="">
</div>-->
<a href="index.html">
<h4>DATA SCIENCE</h4>
</a>
<ul class="nav__menu">
<li><a href="index.html">Home</a></li>
<li><a href="#about">About</a></li>
<li><a href="#courses">Courses</a></li>
<li><a href="#faqs">FAQ</a></li>
<li><a href="contact/index.html">Contact</a></li>
<li><a class="signup" href="./login/index.html">Sign Up</a></li>
</ul>
<button id="open-menu-btn"><i class="uil uil-bars"></i></button>
<button id="close-menu-btn"><i class="uil uil-multiply"></i></button>
</div>
</nav>
</header>
<main>
<section class="landingpg text-gray-400 body-font">
<div class="shape">
<img class="shape1" src="images/shape1.svg" alt="" />
<img class="shape2" src="images/shape1.svg" alt="" />
<img class="shape3" src="images/shape1.svg" alt="" />
<img class="shape4" src="images/shape1.svg" alt="" />
<img class="shape5" src="images/shape1.svg" alt="" />
</div>
<div
class="container header__container mx-auto flex px-5 py-24 md:flex-row flex-col items-center"
>
<div
class="grad1 button lg:flex-grow md:w-1/2 lg:pr-24 md:pr-16 flex flex-col md:items-start md:text-left mb-16 md:mb-0 items-center text-center"
>
<h1
class="pge1 title-font sm:text-4xl text-3xl mb-4 font-medium text-white"
>
<b>
Learn <br /><span>Data<br>Science</span>
<br class="hidden lg:inline-block" />
Interactively</b
>
</h1>
<p class="para1 mb-8">Build projects, practice and <br>learn to code from scratch - <br>without leaving your browser.</p>
<h1>
<p
href=""
class="typewrite"
data-period="2000"
style="font-size: 0.7em"
data-type='[ "Data is future.", "Data is big.", "Data is beautiful.", "Data is valuable.", "Data is growing." ]'
>
<span class="wrap"></span>
</p>
</h1>
<a href="./login/index.html" class="bttn bttn-prrimary btn-top"
><span>Get Started</span></a
-->
</div>
<div class="imgg lg:max-w-lg lg:w-full md:w-1/2 w-5/6">
<img
class="object-cover object-center rounded"
alt="hero"
src="./images/1.png"
/>
</div>
</div>
<div class="social-menu">
<ul>
<li>
<a href="https://www.facebook.com/your-page-url"
><i class="fa fa-facebook"></i
></a>
</li>
<li>
<a href="https://www.twitter.com/your-twitter-url"
><i class="fa fa-twitter"></i
></a>
</li>
<li>
<a href="https://www.instagram.com/your-instagram-url"
><i class="fa fa-instagram"></i
></a>
</li>
<li>
<a href="https://www.youtube.com/channel/your-youtube-url"
><i class="fa fa-youtube"></i
></a>
</li>
<li>
<a href="https://www.linkedin.com/company/your-linkedin-url"
><i class="fa fa-linkedin"></i
></a>
</li>
</ul>
</div>
</section>
<!--========================== END OF LANDING PAGE ============================-->
<section class="grad4" id="about">
<div class="container about__achievements-container">
<div
data-aos="fade-right"
data-aos-offset="300"
data-aos-easing="ease-in-sine"
class="about__achievements-left"
>
<img class="grad2" src="./images/domain.png" alt="data_science_domains"/>
</div>
<div
data-aos="fade-left"
data-aos-offset="300"
data-aos-easing="ease-in-sine"
class="about__achievements-right"
>
<h1 class="vision grad3">What is Data Science ?</h1>
<p>
Data Science is the field of study that combines domain expertise
, programming skills , knowledge of mathematics and statistics to
extract meaningful insights from data for business.
<br /><br />
It is a multidisciplinary approach that combines principles and
practices from the fields of artificial intelligence and above
fields to analyze large amounts of data. <br /><br />
This analysis helps data scientists to ask and answer questions
like what happened , why it happened , what will happen , and what
can be done with the results.
</p>
</div>
</div>
</section>
<!----================ END OF What is Data Sc ===-->
<section class="achievement">
<div class="ach achievements__cards">
<article class="achievement__card" data-aos="flip-up">
<span class="achievement__icon">
<i class="uil uil-video"></i>
</span>
<!-- <h3>450+</h3> -->
<h3>
<span
data-purecounter-start="0"
data-purecounter-end="450"
data-purecounter-once="true"
class="purecounter"
>0</span
>+
</h3>
<p>Courses</p>
</article>
<article class="achievement__card" data-aos="flip-up">
<span class="achievement__icon">
<i class="uil uil-users-alt"></i>
</span>
<!-- <h3>79,000+</h3> -->
<h3>
<span
data-purecounter-start="0"
data-purecounter-end="79000"
data-purecounter-once="true"
class="purecounter"
>0</span
>+
</h3>
<p>Students</p>
</article>
<article class="achievement__card" data-aos="flip-up">
<span class="achievement__icon">
<i class="uil uil-trophy"></i>
</span>
<!-- <h3>26+</h3> -->
<h3>
<span
data-purecounter-start="0"
data-purecounter-end="26"
data-purecounter-once="true"
class="purecounter"
>0</span
>+
</h3>
<p>Awards</p>
</article>
</div>
</section>
<!----================ END OF CARDS ===-->
<section class="courses" id="courses">
<h2 class="headingh2" data-aos="zoom-in">Our Popular Courses</h2>
<div class="container courses__container">
<article class="course" data-aos="flip-left">
<div class="course__image">
<img src="./images/3.jpg" alt="course1"/>
</div>
<div class="course__info">
<h4>Data Sc 1</h4>
<p>
Lorem, ipsum dolor sit amet consectetur adipisicing elit.
Nesciunt aperiam deserunt eaque quos iure ad debitis.
</p>
<a href="course.html" class="btn btn-primary">Learn More</a>
</div>
</article>
<article class="course" data-aos="flip-up">
<div class="course__image">
<img src="./images/3.jpg" alt="course2" />
</div>
<div class="course__info">
<h4>Data Sc 2</h4>
<p>
Lorem, ipsum dolor sit amet consectetur adipisicing elit.
Nesciunt aperiam deserunt eaque quos iure ad debitis.
</p>
<a href="course.html" class="btn btn-primary">Learn More</a>
</div>
</article>
<article class="course" data-aos="flip-right">
<div class="course__image">
<img src="./images/3.jpg" alt="course3" />
</div>
<div class="course__info">
<h4>Data Sc 3</h4>
<p>
Lorem, ipsum dolor sit amet consectetur adipisicing elit.
Nesciunt aperiam deserunt eaque quos iure ad debitis.
</p>
<a href="course.html" class="btn btn-primary">Learn More</a>
</div>
</article>
</div>
</section>
<!--====================== END OF COURSES =====================-->
<section class="faqs" id="faqs">
<h2 class="headingh2" data-aos="zoom-in">Frequently Asked Questions</h2>
<div class="container faqs__container">
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>How do I know the right courses for me?</h4>
<p>
Determine your specific goals and objectives in the field of
data science. Are you looking to acquire a broad understanding
of the field or specialize in a specific area. Knowing your
goals will help you narrow down the course options.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>What programming languages are used in data science?</h4>
<p>
Python and R are the most commonly used programming languages in
data science courses due to their extensive libraries and tools
for data analysis and machine learning.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>What are the prerequisites for a data science course?</h4>
<p>
To study data science, it is crucial to have a strong foundation
in mathematics, including statistics and linear algebra.
Additionally, proficiency in programming languages like Python
or R is essential for data manipulation and analysis.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>What is the meaning of Deep Learning</h4>
<p>
Deep learning is a subset of machine learning that trains neural
networks to mimic the human brain, enabling automatic learning
through interconnected layers. It utilizes backpropagation to
adjust network weights and improve accuracy in predictions.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>What is Machine learning?</h4>
<p>
Machine learning focuses on developing algorithms that enable
computers to learn and make predictions or decisions without
explicit programming instructions, based on patterns and data.
It involves training models on data to improve their performance
over time.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>How to kick start your career in Data science</h4>
<p>
Acquire a strong foundation in statistics and programming
languages like Python or R. Gain hands-on experience through
projects, internships, and online courses to showcase your
skills and build a professional network within the data science
community.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>
What job roles are available in the field of data science?
</h4>
<p>
The field of data science offers diverse job roles, including
data scientist, data analyst, machine learning engineer,
business analyst, data engineer, and data consultant, among
others.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>What are the tools and technologies used in data science?</h4>
<p>
Some popular tools and technologies used in the field of data
science include Python (with libraries such as Pandas, NumPy,
and Scikit-learn), R (with packages like ggplot and caret), and
data visualization tools like Tableau and Matplotlib.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>How long do the data science courses typically last?</h4>
<p>
The duration of our data science courses varies depending on the
specific course. We offer both short-term intensive courses and
longer-term comprehensive programs. The course duration is
mentioned in the course details on our website.
</p>
</div>
</article>
<article class="faq">
<div class="faq__icon"><i class="uil uil-plus"></i></div>
<div class="question__answer">
<h4>Are the courses suitable for non-technical professionals?</h4>
<p>
Yes, we offer data science courses tailored to accommodate
learners with non-technical backgrounds. These courses provide a
comprehensive introduction to data science concepts and
emphasize practical applications without assuming extensive
technical knowledge.
</p>
</div>
</article>
</div>
</section>
</main>
<!--====================== END OF FAQs =====================-->
<!-- FOOTER SECTION START -->
<footer>
<div class="container footer__container">
<div class="footer__1">
<a href="index.html" class="footer__logo">
<h4>DATA SCIENCE</h4>
</a>
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<div class="footer__2">
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