Who can become a data analyst or data scientist?

Question

What are the qualifications to become a data scientist? Any specific education?

Answer 1

Anyone can be a  Data Analyst or a Data Scientist provided they make the effort to acquire the required skills in the domain. 

A Data Analyst is expected to be proficient in:

• R programming – Analytics tool used for statistics and data modeling 

• Python – Provides machine learning and visualization libraries such as Scikit-Learn, Matplotlib, Keras, Pandas, TensorFlow, etc. and can be assembled on SQL server, JSON, a MongoDB database, etc.

• Tableau Public – Connects to data sources like Excel, corporate Data Warehouse, etc. and creates visualizations, dashboards, maps, etc. with real-time updates on the web

• QlikView – Provides in-memory data processing, data association, and data visualization 

• SAS – For data manipulation and analytics

• Microsoft Excel – Tool for data analytics

• RapidMiner – Can integrate with any data source types for predictive analytics, such as data mining, text analytics, and Machine Learning

• KNIME – Allows one to analyze and model data and allows visual programming

• OpenRefine – Data cleaning software 

• Apache Spark – Large-scale data processing engine, which is also popular for data pipelines and machine learning model development

A Data Scientist should know:

• Programming: Python or R

• Big Data Hadoop

• Machine Learning and AI

• Statistics

• Linear Algebra 

• SQL Database/Coding

• Apache Spark

• Multivariable Calculus 

• Data Visualization

Here is a blog on how to become a Data Analyst and a video tutorial on Data Science by Intellipaat:

Enroll in Intellipaat's Data Analytics Certification Course to gain in-depth knowledge of data analytics.