Big Data Professionals
2.01K subscribers
81 photos
23 videos
97 files
159 links
Big data, Hadoop, MongoDB, NoSQL,, Spark, Kafka Professional Channel
Download Telegram
Is Big Data Effective in Response to Coronavirus Outbreak?
https://www.analyticsinsight.net/big-data-effective-response-coronavirus-outbreak/
This media is not supported in your browser
VIEW IN TELEGRAM
VS code users, great news! A MongoDB @code plug-in is now available. Get started in three easy steps:
- Install the extension from the marketplace
- Get a free Atlas cluster
- Connect to it & start building a playground

Learn more here: https://t.co/CY2Ypr1bQU @mmarcon https://t.co/BWy1qjak2W
Top 10 Big Data Certifications Recognized by the Industry! - Intellipaat Blog
https://intellipaat.com/blog/top-10-big-data-certifications/
Data Scientist Vs Data Analyst


Data science can be described as a field of automated statistics in the form of models that aide in classifying and predicting outcomes. Here are the top skills that are required to be a data scientist:

Python or R

SQL

Jupyter Notebook

Algorithms/Modeling


A data analyst shares similar titles with business analyst, business intelligence analyst, and even a Tableau developer. The focus of data analytics is to describe and visualize the current landscape of the data — to report and explain it to nontechnical users. A data science crossover position is a data analyst who performs predictive analytics — sharing more similarities of a data scientist without the automated, algorithmic method of outputting those predictions.

Some of the main skills that are required to be a data analyst are:

SQL

Excel

Tableau (or other visualization tools — Google Data Studio, etc)

https://towardsdatascience.com/data-science-vs-data-analysis-heres-the-difference-4d3da0a90f4