forked from aniketsinha2002/DataGeek
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
538 lines (416 loc) · 18.2 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
<!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">
<title>Aniket</title>
<!-- 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" />
<!-- CSS FILE LINK -->
<link rel="stylesheet" href="./css/style.css">
<!--Favicon-->
<link rel="icon" href="images/data-sciencee.png">
<!-- icon pack -->
<link href='https://unpkg.com/[email protected]/css/boxicons.min.css' rel='stylesheet'>
<!-- Chat Bot -->
<link rel="stylesheet" href="/chatbot/style.css">
</head>
<body>
<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="btn" 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>
<!--========================== END OF NAVBAR ============================-->
<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 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>
<div class="social-menu">
<ul>
<li><a href=""><i class="fa fa-facebook"></i></a></li>
<li><a href=""><i class="fa fa-twitter"></i></a></li>
<li><a href=""><i class="fa fa-instagram"></i></a></li>
<li><a href=""><i class="fa fa-youtube"></i></a></li>
<li><a href=""><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 class="about__achievements-left">
<img class="grad2" src="./images/domain.png">
</div>
<div 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">
<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">
<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">
<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">Our Popular Courses</h2>
<div class="container courses__container">
<article class="course">
<div class="course__image">
<img src="./images/3.jpg">
</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">
<div class="course__image">
<img src="./images/3.jpg">
</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">
<div class="course__image">
<img src="./images/3.jpg">
</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">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>
<!--====================== END OF FAQs =====================-->
<footer>
<div class="container footer__container">
<div class="footer__1">
<a href="index.html" class="footer__logo"><h4>DATA SCIENCE</h4></a>
<p>
Lorem ipsum dolor sit amet consectetur adipisicing elit. Corporis ipsum nobis ratione.
</p>
</div>
<div class="footer__2">
<h4>Data Science</h4>
<ul class="permalinks">
<li><a href="index.html">Home</a></li>
<li><a href="about.html">About</a></li>
<li><a href="courses.html">Courses</a></li>
<li><a href="contact.html">Contact</a></li>
</ul>
</div>
<div class="footer__3">
<h4>Primacy</h4>
<ul class="privacy">
<li><a href="#">Privacy Policy</a></li>
<li><a href="#">Terms and conditions</a></li>
<li><a href="#">Refund Policy</a></li>
</ul>
</div>
<div class="footer__4">
<h4>Contact Us</h4>
<div>
<p>+91 0000000000</p>
<p>[email protected]</p>
</div>
<div class="footer_5">
<ul class="footer__socials">
<li class="facebook">
<a href="https://www.facebook.com/"><i class="uil uil-facebook-f" aria-hidden="true" style="font-size: 0.89em;"></i></a>
</li>
<li class="instagram">
<a href="https://www.instagram.com/"><i class="uil uil-instagram-alt" aria-hidden="true" style="font-size: 0.89em;"></i></a>
</li>
<li class="twitter">
<a href="https://www.twitter.com/"><i class="uil uil-twitter" aria-hidden="true" style="font-size: 0.89em;"></i></a>
</li>
<li class="linkedin">
<a href="https://www.linkedin.com/"><i class="uil uil-linkedin-alt" aria-hidden="true" style="font-size: 0.82em;"></i></a>
</li>
</ul>
</div>
</div>
</div>
<div class="footer__copyright">
<small>Copyright © Aniket Sinha</small>
</div>
</footer>
<!-- ====================== START OF SCROLL-TO-TOP BUTTON===================== -->
<div id="progress">
<span id="progress-value"><i class="fa fa-arrow-up" aria-hidden="true"></i></span>
</div>
<!-- ====================== END OF SCROLL-TO-TOP BUTTON===================== -->
<!-- Chat bot -->
<div class="chatbox-wrapper">
<div class="chatbox-toggle">
<i class='bx bx-message-dots'></i>
</div>
<div class="chatbox-message-wrapper">
<div class="chatbox-message-header">
<div class="chatbox-message-profile">
<img src="/images/pngegg(2).png" alt="" class="chatbox-message-image">
<div>
<h4 class="chatbox-message-name">Aniket</h4>
<p class="chatbox-message-status">online</p>
</div>
</div>
<div class="chatbox-message-dropdown">
<i class='bx bx-dots-vertical-rounded chatbox-message-dropdown-toggle' id="dots-nav"></i>
<ul class="chatbox-message-dropdown-menu">
<li>
<a href="#">Report</a>
</li>
</ul>
</div>
</div>
<div class="chatbox-message-content">
<h4 class="chatbox-message-no-message">Ask me anything !</h4>
</div>
<div class="chatbox-message-bottom">
<form action="#" class="chatbox-message-form">
<textarea rows="1" placeholder="Enter your message..." class="chatbox-message-input"></textarea>
<button type="submit" class="chatbox-message-submit"><i class='bx bx-send'></i></button>
</form>
</div>
</div>
</div>
<!-- chat bot finish -->
<script src="https://cdn.jsdelivr.net/npm/@srexi/purecounterjs/dist/purecounter_vanilla.js"></script>
<script src="https://unpkg.com/swiper@7/swiper-bundle.min.js"></script>
<script src="./main.js"></script>
<script src="/chatbot/script.js"></script>
<script>
// slides for testimonials section
var swiper = new Swiper(".mySwiper", {
slidesPerView: 1,
spaceBetween: 30,
pagination: {
el: ".swiper-pagination",
clickable: true,
},
// when window width is >= 600px
breakpoints: {
600: {
slidesPerView: 2
}
}
});
</script>
</body>
</html>