10 Excel Functions for Data Analysis
April 11, 2024
Article
Instructors: Caio Avelino
Included with
Recommended experience
Beginner level
Basic comprehension of data concepts and programming fundamentals.
Recommended experience
Beginner level
Basic comprehension of data concepts and programming fundamentals.
Explain the characteristics and challenges of Big Data.
Identify different Big Data technologies and their roles in data processing and analysis.
Apply Big Data tools and platforms to derive insights from large datasets.
Explore real-world applications of Big Data across various domains.
Add to your LinkedIn profile
1 assignment
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
In today's digital landscape, the exponential growth of data presents both challenges and opportunities. Big Data technologies have emerged as crucial tools for organizations to harness the power of large datasets and derive actionable insights. This course serves as an introduction to Big Data technologies and their applications, covering essential concepts, tools, and techniques for processing, analyzing, and deriving value from massive volumes of data.
This course is tailored for Data Scientists, Data Engineers, IT Professionals, Business Analysts, and Researchers who are eager to deepen their understanding of Big Data. To make the most of this learning experience, participants should have a basic comprehension of data concepts and programming fundamentals. Throughout the course, learners will gain a thorough understanding of the characteristics and challenges associated with Big Data. They will be introduced to various Big Data technologies and learn how each plays a crucial role in data processing and analysis. Practical applications of these tools will enable learners to derive valuable insights from large datasets. Additionally, the course will delve into real-world applications of Big Data across various domains, showcasing its transformative impact. By the end of the course, participants will be well-equipped to explain Big Data concepts, utilize relevant technologies, and apply their knowledge to solve complex data challenges in their respective fields.
In today's digital landscape, the exponential growth of data presents both challenges and opportunities. Big Data technologies have emerged as crucial tools for organizations to harness the power of large datasets and derive actionable insights. This course serves as an introduction to Big Data technologies and their applications, covering essential concepts, tools, and techniques for processing, analyzing, and deriving value from massive volumes of data.
11 videos4 readings1 assignment2 discussion prompts
The Coursera Instructor Network is a select group of instructors who have demonstrated expertise in specific tools or skills through their industry experience or academic backgrounds in the topics of their courses.
LearnQuest
Course
Yonsei University
Course
Illinois Tech
Course
University of Pennsylvania
Course
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work.
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
These cookies enable the website to provide enhanced functionality and personalization. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.