Introduction to Data Analytics

In recent years, the explosive interest in technologies such as Big Data and Artificial Intelligence has led to a significant increase in the demand for Data Analysts and Data Scientists. 

Data Analytics is a broad term that encompasses many different types of Data Analysis. Any kind of information can be subjected to Data Analytics techniques to produce insights that can be used to foster the decision-making process.

Data Analytics techniques can uncover trends and patterns that would otherwise be lost in the enormous amount of data. This information can be used to optimize processes and increase the overall efficiency of an organization.

In Data Analytics, you need to analyze the data gathered from various sources, clean it up, and then turn it into information that can be interpreted. The data collected from multiple sources can be Structured, Unstructured, or Semi-Structured in nature. The final result can be visualized through Charts, Graphs, and other tools.

Data Analyst: Typical Job Description

Most Data Analytics Jobs involve Collecting and Cleaning data to uncover business insights and trends. Since this job involves analyzing and interpreting data, it is analytical in nature. The day-to-day Data Analyst Job varies with the nature of the Industry or the Company, or the type of Data Analysis you’re performing.

Data Analysts are responsible for extracting hidden insights and channeling them visually in the form of Dashboards and Reports. Tableau, Google Analytics, Power BI are some of the tools used extensively by Data Analysts.

Most Data Analysts work closely with IT, Management, and Data Science teams to determine the company’s goals. They extract and clean data from primary as well as secondary sources, and then analyze and interpret the results using standard statistical tools and techniques. In most cases, they identify trends, relationships, and patterns in complex data sets and identify new opportunities for process improvement. Data Analysts also need to report on their findings and effectively convey them to various teams and all the stakeholders involvedIn recent years, the explosive interest in technologies such as Big Data and Artificial Intelligence has led to a significant increase in the demand for Data Analysts and Data Scientists. 

Data Analytics training online is one of the best training programs offered by Syntax Technologies in the market. The program is designed to train people with little to no programming background to become data professionals that combine analytical skills and programming skills - using data manipulation, data visualization, data cleansing and much more to make sense of real-world data sets and create data dashboards/visualizations to share your findings.