Curriculum
- 9 Sections
- 28 Lessons
- 35 Weeks
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- Course Overview/*! CSS Used from: Embedded */ *, ::after, ::before { box-sizing: border-box; border-width: 0; border-style: solid; border-color: #e5e7eb; } ::after, ::before { --tw-content: ''; } h2 { font-size: inherit; font-weight: inherit; } a { color: inherit; text-decoration: inherit; } h2, p { margin: 0; } :disabled { cursor: default; } *, ::before, ::after { --tw-border-spacing-x: 0; --tw-border-spacing-y: 0; --tw-translate-x: 0; --tw-translate-y: 0; --tw-rotate: 0; --tw-skew-x: 0; --tw-skew-y: 0; --tw-scale-x: 1; --tw-scale-y: 1; --tw-scroll-snap-strictness: proximity; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246 / 0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; } .mx-auto { margin-left: auto; margin-right: auto; } .mb-2 { margin-bottom: 0.5rem; } .mb-4 { margin-bottom: 1rem; } .mb-6 { margin-bottom: 1.5rem; } .mr-2 { margin-right: 0.5rem; } .max-w-screen-sm { max-width: 640px; } .max-w-screen-xl { max-width: 1280px; } .rounded-lg { border-radius: 0.5rem; } .bg-primary-700 { --tw-bg-opacity: 1; background-color: rgb(29 78 216 / var(--tw-bg-opacity)); } .bg-white { --tw-bg-opacity: 1; background-color: rgb(255 255 255 / var(--tw-bg-opacity)); } .px-4 { padding-left: 1rem; padding-right: 1rem; } .px-5 { padding-left: 1.25rem; padding-right: 1.25rem; } .py-2.5 { padding-top: 0.625rem; padding-bottom: 0.625rem; } .py-8 { padding-top: 2rem; padding-bottom: 2rem; } .text-center { text-align: center; } .text-4xl { font-size: 3rem; line-height: 2.5rem; } .text-sm { font-size: 0.875rem; line-height: 1.25rem; } .font-extrabold { font-weight: 800; } .font-light { font-weight: 300; } .font-medium { font-weight: 500; } .leading-tight { line-height: 1.25; } .tracking-tight { letter-spacing: -0.025em; } .text-gray-500 { --tw-text-opacity: 1; color: rgb(107 114 128 / var(--tw-text-opacity)); } .text-gray-900 { --tw-text-opacity: 1; color: rgb(17 24 39 / var(--tw-text-opacity)); } .text-white { --tw-text-opacity: 1; color: rgb(255 255 255 / var(--tw-text-opacity)); } .hover\:bg-primary-800:hover { --tw-bg-opacity: 1; background-color: rgb(30 64 175 / var(--tw-bg-opacity)); } .focus\:outline-none:focus { outline: 2px solid transparent; outline-offset: 2px; } .focus\:ring-4:focus { --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(4px + var(--tw-ring-offset-width)) var(--tw-ring-color); box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); } .focus\:ring-primary-300:focus { --tw-ring-opacity: 1; --tw-ring-color: rgb(147 197 253 / var(--tw-ring-opacity)); } @media (min-width: 640px) { .sm\:py-16 { padding-top: 4rem; padding-bottom: 4rem; } } @media (min-width: 768px) { .md\:text-lg { font-size: 1.5rem; line-height: 1.75rem; } } @media (min-width: 1024px) { .lg\:px-6 { padding-left: 1.5rem; padding-right: 1.5rem; } } .imgdata { width: 35% } @media (max-width: 767px) { .imgdata { width: 40% } } .course-payment { display: none !important; } .thim-course-landing-button { display: none !important; }0
- DescriptionWhat you’ll Learn:
Key issues in big data management and its associated applications for business decisions and strategy.
Develop problem solving and critical thinking skills in fundamental enabling techniques like Hadoop, Mapreduce and NoSQL in big data analytics.
Interpret business models and scientific computing paradigms.
Perspectives of big data analytics in various applications.
This course provides an overview of an exciting growing field of big data analytics. Also, it maps the learner through introduction to programming skills to build simple solutions using big data technologies.
Fundamental techniques and principles in achieving big data analytics with scalability and streaming capability.
Join in to learn Big Data Analytics , equally important from the academic as well as real-world knowledge.
Modules Covered:
Introduction to Big Data and Hadoop.
Hadoop HDFS and MapReduce
NoSQL
Mining Data Streams
Finding similar and clustering
Real-Time Big Data models0 - Introduction to Big Data and Hadoop3
- Hadoop HDFS and Map Reduce2
- NoSql1
- Mining Data Streams3
- Finding Similar Items and Clustering9
- Real Time Big Data Model4
- Notes6