Big Data

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Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego.

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted.

Big Data Neo4j Mongodb Apache Spark Apache Hadoop Mapreduce Cloudera Data Model Data Modeling Data Management Splunk Machine Learning Concepts

Accessible for free. Completion certificates are offered.

Affiliate disclosure: Please use the blue and green buttons to visit Coursera if you plan on enrolling in a course. Commissions Reddsera receives from using these links will keep this site online and ad-free. Reddsera will not receive commissions if you only use course links found in the below Reddit discussions.

Taught by
Ilkay Altintas
Chief Data Science Officer
and 2 more instructors

Offered by
University of California San Diego

This specialization includes these 6 courses.

#289
Introduction to Big Data
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be.
University of California San Diego
Ilkay Altintas
0 reddit posts
10 mentions
#549
Big Data Modeling and Management Systems
Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each.
University of California San Diego
Ilkay Altintas
0 reddit posts
4 mentions
#622
Big Data Integration and Processing
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big d...
University of California San Diego
Ilkay Altintas
0 reddit posts
3 mentions
#611
Machine Learning With Big Data
Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data.
University of California San Diego
Mai Nguyen
0 reddit posts
3 mentions
#550
Graph Analytics for Big Data
Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the ...
University of California San Diego
Amarnath Gupta
0 reddit posts
4 mentions
Big Data - Capstone Project
Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization.
University of California San Diego
Ilkay Altintas
0 reddit posts
0 mentions

Reddit Posts and Comments

3 posts • 46 mentions • top 21 shown below

r/MachineLearning • post
27 points • [deleted]
Big Data Specialization at Coursera (Starting in 2 days)

[deleted]

r/learnmachinelearning • post
13 points • brutal_7386
I'm thinking about taking this specialization any suggestions or Reviews? Is there any other better alternatives for learning BigData? https://www.coursera.org/specializations/big-data. (Link to the specialization)
r/resumes • post
139 points • RescueRecruiter
Free Certifications to Add to Your Resume

(This is not my article, but I thought it could be helpful if you're looking to pad your resume with additional skills.)

Full article from Simply Hired blog: Free Certifications to Add to Your Resume

Many positions require advanced education, degrees or courses to progress in a field or even land your first job. Every field values its own unique certifications, but these certifications often come with hefty price tags and long ramp-up times.

Fortunately, the internet is making it a lot easier to educate yourself at home and on the cheap. Here are five options for free training and certifications that can help you add distinctive digital skills to your resume without investing time and money in a degree or certification program:

Google Analytics Online Courses

Google is a major player on the internet. Is it any surprise the company also offers free online analytics courses? Individuals who want to better understand digital analytics, the Google Analytics platform, ecommerce analytics or mobile app analytics, can head to the Analytics Academy to learn and test their knowledge.

While these skills will be particularly valuable for marketers, writers and digital strategists, understanding Google Analytics would make professionals in any position stand out.

Basic Digital Marketing Skills

In today’s digital economy, any employee may be asked to contribute to a marketing campaign or provide a quote about ongoing work for marketing purposes. To be a well-rounded candidate, just about everyone would be well-served by having some awareness of social media, content marketing and digital marketing.

Introduce yourself to digital marketing concepts (and add an attractive certification to your resume) by going through HubSpot’s Inbound Marketing Certification. This certification covers the fundamentals of SEO, blogging, landing pages, lead nurturing and conversion analysis. Even if you aren’t in a marketing position, this will give you an added edge over candidates within your field who aren’t familiar with basic marketing concepts.

Free Courses and Education

There is also a larger category of free online education resources that are expanding every year.

Coursera provides access to real college courses from top universities such as Johns Hopkins University, University of Michigan, Yale and Stanford. The free courses do not come with a degree, but you can complete certain courses in sets to create a free or low cost specialization, such as Big Data or Business Foundations.

Udemy is an online marketplace for individual courses. By searching for free courses, you can access training on such topics as accounting, Android development, Adobe Illustrator and more.

Code Academy is an online training hub for technical topics. You can take free courses on topics like SQL, website development and basic programming to develop your skills in this area.

You can also peruse OpenCulture’s comprehensive list of certificate-offering courses from a mix of platforms such as Coursera, FutureLearn and individual universities.

Free courses and certifications may not carry the weight of high-level certifications or official degrees, but they are a great way to explore new skills and show that you’re invested in your own personal and professional development. Check out these five certification and education opportunities to see if they could help you round out your skills for your current or prospective job.

r/bigdata • post
12 points • dEnissay
Looking for Big data online class

Being an IT engineer, I am exploring the Big Data specialization and wishing to earn a certificate in that field to help me get a new job later.

I've been looking around and found these two specializations:

I was hoping someone with experience in the field to advise on which to pick as it will be a big investment in time (months) and effort.

Any other suggestion out of the list is welcome.

Thank you!

r/BusinessIntelligence • post
8 points • MattW224
Best resources for an introduction to the Hadoop ecosystem?

I have a working understanding of Kimball data modeling, and work with the MS BI stack and a SQL Server enterprise bus matrix at work. What introductory resources exist for big data? How quickly is the industry phasing out SQL Server and similar (for lack of a better word) Kimball-esque technologies for big data?

I noticed the UC San Diego offering on Coursera, and O'Reilly guide on Amazon. I'm leaning toward the latter, because I'd like to move at a faster pace, but would welcome more suggestions. I've also downloaded the Cloudera VM, but haven't done a technical deep dive just yet.

r/coursera • post
2 points • willygamereviews
Is this Big Data course worth it?
r/BusinessIntelligence • post
8 points • bloocrab
Opinion on classes?

Techie friends... any opinions on the following classes? To give a little background I am a long time enterprise applications guy (dms, crm, sccm, sql server, etc) and want to move more into the BI/data arena which my type of role is evolving into. I spent some time earlier this year studying data warehouses with a friend who is a master but life got in the way and we had to stop. I was looking at coursera for tracks and found the following. All really interest me.

https://www.coursera.org/specializations/data-warehousing

https://www.coursera.org/specializations/data-analysis

https://www.coursera.org/specializations/big-data

Someone I was talking to thought Big Data would be the best fit for me initially, but I think any of them are natural next steps for me. I'm also taking some other smaller training sessions on the side for stuff like python.

They all start Monday. I just need to decide

Any thoughts would be appreciated.

r/argentina • post
6 points • [deleted]
Sirven los MOOCs en Argentina?

Buenas a todos!

Estuve viendo algunas páginas de MOOCs como Coursera y Udacity y tienen cursos que se ven interesantes, en Data Science y Data Analytics por ejemplo (que son los que me interesan a mi). La cuestión es, sirven en Argentina los títulos que entregan esos MOOCs para conseguir trabajo? O es preferible pagar un curso en la UTN u otra institución local (que valen más o menos lo mismo)?

EDIT: hago este edit, para indicar que me refiero a cursos como éste, éste o éste, que son bastante largos y parecen estar bien organizados

r/coursera • post
6 points • bloocrab
Opinion on classes

Techie friends... any opinions on the following classes? To give a little background I am a long time enterprise applications guy (dms, crm, sccm, sql server, etc) and want to move more into the BI/data arena which my type of role is evolving into. I spent some time earlier this year studying data warehouses with a friend who is a master but life got in the way and we had to stop. I was looking at coursera for tracks and found the following. All really interest me.

https://www.coursera.org/specializations/data-warehousing

https://www.coursera.org/specializations/data-analysis

https://www.coursera.org/specializations/big-data

Someone I was talking to thought Big Data would be the best fit for me initially, but I think any of them are natural next steps for me. I'm also taking some other smaller training sessions on the side for stuff like python.

They all start today. I just need to decide

Any thoughts would be appreciated.

r/FreeOnlineCourses • post
1 points • Sir_Top
Big Data Specialization - Coursera
r/dataengineering • comment
1 points • IndoSpike

https://www.coursera.org/specializations/big-data-engineering

r/dataengineering • comment
3 points • imcguyver

What's a backend engineer? https://www.upwork.com/hiring/development/back-end-web-developer/

What's a data engineer? https://www.coursera.org/specializations/big-data

Interesting that you're leveraging Amazon videos but be aware that Amazon is biased towards AWS.

r/bigdata • post
1 points • verdi07
How fast does big data change? Planning on taking a course made 4 years ago.

Hello, title says it all.

I want to get to know the big data world (not becoming an expert, just learning about it and be able to work in projects and grow my knowledge if I like the field). The thing is, I found a course that looks interesting, and it takes a couple of months or three to complete, but it was made in 2016.

I wonder if the technologies would have changed enough to be stupid to take the course or it is fine and I would learn the basis anyway.

Could someone guide me in what path to follow here?

The series of courses im planning on taking are the specialization in Big Data from the University of California San Diego in the coursera platform: https://www.coursera.org/specializations/big-data

Thanks for any help you could give me in this topic.

r/india • post
6 points • entra_guy
Advice needed on Data Analyst specialization

I want to go for a data analysis specialization on Coursera . Of the few available on Coursera I don't know which one would be relevant for India and for a guy with 0 work ex ( i am a fresher ) .

Also how is the Data Analysis Job scene , what's the skill set required .Thnks for your inputs

Coursera Specializations :

r/bigdata • comment
1 points • sharadov
r/cscareerquestions • post
1 points • IllustriousSchedule0
Big data vs DeepL specialization

Hi all, I'm a mobile developer with a professional exp. of about 3yrs. I've tinkered with ML around tiny projects via tensorflow and keras for use in apps through MLkit, BUT I've never worked on a really dirty, more hands on project.

Since I'm about to pursue masters in CS in a few months (say about 4, with 2-3 hours to spare on weekdays after work, and about 10 on weekends), I found two nice specializations on Coursera around DeepL by deeplearning.ai and BigData by UCSD respectively. Since I have few basics of ML down and I have little to no idea about backend technologies like spark and neo4j, I thought maybe I can accelerate my learning in data science before I actually begin my studies.

It would be great if you guys can shower your opinions on my decision. Also I think pursuing DeepL before big data would be beneficial. Please do let me know if you think otherwise and please share your reasons for the same.

Thanks a lot in advance :)

r/learnmachinelearning • post
1 points • IllustriousSchedule0
Big data vs DeepL Specialization

Hi all, I'm a mobile developer with a professional exp. of about 3yrs. I've tinkered with ML around tiny projects via tensorflow and keras for use in apps through MLkit, BUT I've never worked on a really dirty, more hands on project.

Since I'm about to pursue masters in CS in a few months (say about 4, with 2-3 hours to spare on weekdays after work, and about 10 on weekends), I found two nice specializations on Coursera around DeepL by deeplearning.ai and BigData by UCSD respectively. Since I have few basics of ML down and I have little to no idea about backend technologies like spark and neo4j, I thought maybe I can accelerate my learning in data science before I actually begin my studies.

It would be great if you guys can shower your opinions on my decision. Also I think pursuing DeepL before big data would be beneficial. Please do let me know if you think otherwise and please share your reasons for the same.

Thanks a lot in advance :)

r/bigdata • post
2 points • bloocrab
Opinion on classes?

Techie friends... any opinions on the following classes? To give a little background I am a long time enterprise applications guy (dms, crm, sccm, sql server, etc) and want to move more into the BI/data arena which my type of role is evolving into. I spent some time earlier this year studying data warehouses with a friend who is a master but life got in the way and we had to stop. I was looking at coursera for tracks and found the following. All really interest me.

https://www.coursera.org/specializations/data-warehousing

https://www.coursera.org/specializations/data-analysis

https://www.coursera.org/specializations/big-data

Someone I was talking to thought Big Data would be the best fit for me initially, but I think any of them are natural next steps for me. I'm also taking some other smaller training sessions on the side for stuff like python.

They all start today. I just need to decide

Any thoughts would be appreciated.

r/datascience • post
2 points • LearnDataSci
Coursera's Specialization Opinions

Coursera has a ton of specializations within the data science realm. There's Data Science, Genomic Data Science, Big Data, Data Mining, Machine Learning, Data Analysis, and a few more.

What are your opinions about these tracks? If you have taken multiple, how do they compare? If you are currently in one, how do you think it's going? Do you have ideas on how they could be better?

r/learnprogramming • post
1 points • enfirius
Confusion on course choice

So at my college , during the lock down we have been given the following speciializations to choose for the upcoming month but since I couldn't decide on which to choose from I am posting it here. Can you guys give a short description on the fields and if you have taken the courses then any reviews on that will be much appreciated. Thanks!!

Blockchain Technology -https://www.coursera.org/specializations/blockchain?

Big Data Analysis - https://www.coursera.org/specializations/big-data?

Applied Data Science wiith Python - https://www.coursera.org/specializations/data-science-python

r/AskBigData • post
1 points • joey_diaz_wings
Resources for Learning

Learning Hadoop

Udemy:

The Ultimate Hands-On Hadoop - Tame your Big Data (Frank Kane) - Hadoop tutorial with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka + more

​

Learning Spark

Udemy:

Taming Big Data with Apache Spark and Python - Hands On (Frank Kane) - 15+ hands-on examples of analyzing large data sets with Apache Spark

Coursera:

Big Data Analysis with Scala and Spark (École Polytechnique Fédérale de Lausanne)

Learning Big Data Generally

Coursera:

Big Data Specialization (UC San Diego) - Hadoop, MapReduce, Spark, Pig, Hive, Spark

Linux Academy:

Big Data Skill

Learning Python

Udemy:

Complete Python Bootcamp: Go from zero to hero in Python 3 (Jose Portilla) - Start from the basics and go all the way to creating your own applications and games

Learn Python Programming Masterclass (Tim Buchalka) - This Python For Beginners Course Teaches You The Python Language Fast. Includes Python Online Training With Python 3

Coursera:

Python for Everybody Specialization (University of Michigan) - Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.

​

Books

Designing Data-Intensive Applications (Martin Kleppmann) - Tools and approaches for scalability, consistency, reliability, efficiency, and maintainability