This content originally appeared on DEV Community and was authored by Ann Kigera
Introduction to Data Analytics
The technique of examining data in order to gather valuable insights that can be used to guide insightful business decisions is known as data analytics. Data analytics is used to solve challenges within an organization. Patterns in a dataset will show relevant information in a specific area for example the temprature at a particular time.
Data analytics uses past data to predict the future behaviors therefore making informed decision on the information from the data.
Data Analyst
The work of a data analyst is to gather and combine information from variety of sources, to ensure accuracy and dependability, to clean up and preprocess data, to analyze exploratory data to find trends, patterns and irregularities.
A data analyst extracts raw data, organizes and analyzes the data. After interpreting the data, the data analyst will transfer their findings on what the next step should be.
Data Analysis Process
- identify the data required
- Collection of data
- Data cleaning
- Data Analysis
- Data Interpretation and visualization
Data Analysis Techniques
Data Analysis techniques and methods fall under two main types namely:
Qualitative Data Analysis - this method extracts data from texts or words, pictures, symbols and observations
Quantitative Data Analysis - this method turns raw datasets into numerical data.
Top Techniques for Analyzing Data
Neural Network
Cohort Analysis
Time Series Analysis
Factor Analysis
Regression Analysis
Cluster Analysis
Data Mining
Conjoint Analysis
Multidimensional Scaling
Decision Trees
Context Analysis
Text Analysis
Tools
Data Analysts use tools such as Microsoft Excel, Power BI, Tableau, Jupyter Notebook, Statistical Analysis System(SAS) and programming languages such as SQL, R and Python. Such tools help data analysts to carry out various tasks such as data mining, statistical analysis, database management and reporting.
Skills
The hand on skills required for one to become a data analyst are statistics, knowledge of programming languages such as SQL, R and Python and data visualization.
This content originally appeared on DEV Community and was authored by Ann Kigera
Ann Kigera | Sciencx (2024-08-04T13:50:21+00:00) The Ultimate Guide to Data Analytics: Techniques and Tools. Retrieved from https://www.scien.cx/2024/08/04/the-ultimate-guide-to-data-analytics-techniques-and-tools-2/
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