در این آموزش تصویری با آنالیز Big Data آشنا می شوید.
این دوره آموزشی محصول موسسه Udemy است.

سرفصل های دوره:

  • تجزیه و تحلیل داده های بزرگ
  • مقدمه ای بر داده های بزرگ
  • ایجاد کسب و کار جدید
  • ویژگی داده های بزرگ
  • بررسی چالش های بوجود آمده
  • ذخیره سازی داده ها
  • نحوه ذخیره سازی داده ها
  • مقدمه ای بر Hadoop
  • مصورسازی داده ها
  • کار با رسانه های اجتماعی و تاثیر آن بر سازمان
  • تحلیل مدل های مختلف سازمانی
  • تقویت هوش کسب و کار
  • ساخت پروفایل در شبکه های اجتماعی
  • افزایش امنیت برنامه
  • نحوه رفع مشکلات
  • و…

عنوان دوره: Udemy Big Data Analytics: Big Data Origination to Opportunities
سطح: مقدماتی
مدت زمان: 2 ساعت و 30 دقیقه
نویسنده: RankOne Consulting


توضیحات:

Udemy Big Data Analytics: Big Data Origination to Opportunities

RankOne Consulting
2.5 Hours
Beginner Level

Grounding in basic & advanced big data analytic methods, technology and tools
Course Description
Big Data Analytics course will inspire you to explore opportunities in the world of big data analytics. This course will take you from the basics of big data analytics to the advance analytical tools, methods and technology, which could be used for the big data analytics projects.
You would be learning about the big data explosion, characteristics of big data and their classification. The analytical platform will take you from the changing model of big data analytics to the real time analytics. In order to process big data and extract the meaningful insights from it, importance of big data storage and the properties of storage architecture is imparted as a separate chapter. Basics of Hadoop, challenges associated with it and why it is considered as game changer by multiple verticals of the industry is an important section which will increase the level of your knowledge bucket.
Along with it, who are the players in the industry providing analytics platforms, visualization tools and Sentiment analysis are well instructed in the chapters. You will be able to know what are the challenges associated with big data and major business verticals that are leveraging big data to get the market insights.
The course is accompanied with the industry use case and assignment to evaluate the progress. We wish you happy journey for "Big Data Analytics" course.
What are the requirements?
Eagerness to grasp the knowledge of "Big Data"
Basic technical knowledge to follow the course
What am I going to get from this course?
Over 17 lectures and 2.5 hours of content!
Deploy a structured lifecycle approach to data science and big data analytics projects.
Planning & Implementation of Big Data strategy in organization.
Analyze data, use big data analytics, metrics understanding and consumer behaviour to make better business decisions and improve capabilities.
Explore big data opportunities
What is the target audience?
Big data beginners or fresh graduates
Practitioners of BI

Section 1: Big Data Analytics: Introduction to Course
Lecture 1
Course Overview
01:12
Section 2: Introduction to Big Data, its origination, explosion and characterstics
Lecture 2
Introduction to Big Data
03:32
Lecture 3
How big data is changing business?
09:00
Lecture 4
Characteristics of Big Data
08:14
Lecture 5
Challenges in Big Data
13:17
Lecture 6
Test your progress - 1
Article
Quiz 1
Big Data Origination and Explosion
2 questions
Section 3: Big Data Analytics platforms and data storage
Lecture 7
Big Data and BI
06:47
Lecture 8
Big Data Storage
16:51
Section 4: Hadoop
Lecture 9
Introduction to Hadoop
10:21
Section 5: Data Visualization
Lecture 10
Data Visualization: Making "Big Data" more valuable
12:38
Lecture 11
Web 2.0, Social media & its impact on Organization
11:04
Section 6: Analytical Models and abstracting sense for organization
Lecture 12
Different Analytical Models
09:10
Lecture 13
Analytical Model abstracting sense for organization
04:05
Section 7: Social profiling of customer and Augmenting business intelligence
Lecture 14
Social profiling of customer
10:09
Lecture 15
Sentiment Analysis
05:32
Lecture 16
Real time response to combine intelligence
12:41
Section 8: Big Opportunities Big Security
Lecture 17
Big Data Opportunities
13:27