Python programming
Python is especially popular among data scientists. … There are countless libraries like NumPy, Pandas, and Matplotlib available in Python to make data cleaning, data analysis, data visualization, and machine learning tasks easier
R programming
As a programming language, R provides objects, operators and functions that allow users to explore, model and visualize data. R is used for data analysis. R in data science is used to handle, store and analyze data. It can be used for data analysis and statistical modeling. R is an environment for statistical analysis
Data visualization
Data visualization is defined as a graphical representation that contains the information and the data. By using visual elements like charts, graphs, and maps, data visualization techniques provide an accessible way to see and understand trends, outliers, and patterns in data.
Machine learning
techniques
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Artificial intelligence (AI)
AI-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn’t. It can also can deep dive into data analytics about your customers and offer predictions about consumer preferences, product development, and marketing channels.
SQL
SQL is the most commonly used data analysis tool for data analysts and data scientists. The majority of the world’s data is stored in databases, and learning SQL will enable you to access and analyze this data with ease.
Database architecture
What is data architecture in data analytics?
Image result for database architecture for data analytics
Data architecture is a framework for how IT infrastructure supports your data strategy. The goal of any data architecture is to show the company’s infrastructure how data is acquired, transported, stored, queried, and secured. A data architecture is the foundation of any data strategy. … Data standards.
Role of accountant in Data analysis >