Data Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data. It also entails applying data patterns toward effective decision-making.In this course the students get knowledge of SQL database, Python which is a programming language, Visualisation tool like Tableau skills with data analytics prediction algorithms like regression, classification, clustering, text mining at the core. Data Analytics being multidisciplinary in nature, drawing structured data insights and show-casing them in the right way becomes easy with the large pool of inbuilt libraries like NumPy, pandas, matplotlib , seaborn, scipy, scikit learn, and many more
Data Analyst exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed. The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.The work of a data analyst involves working with data throughout the data analysis pipeline. This means working with data in various ways. The primary steps in the data analytics process are data mining, data management, statistical analysis, and data presentation. The importance and balance of these steps depend on the data being used and the goal of the analysis.
Skilled data analysts are some of the most sought-after professionals in the world. Because the demand is so strong, and the supply of people who can truly do this job well is so limited, data analysts command huge salaries and excellent perks, even at the entry-level.Data Analysis has become one of the most high-in-demand jobs around the world. As a result, a Data Analyst salary in India is significantly higher than other software related professionals.
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Data analytics helps individuals and organizations make sense of data. Data analysts typically analyze raw data for insights and trends. They use various tools and techniques to help organizations make decisions and succeed.
There are various types of data analysis including descriptive, diagnostic, prescriptive and predictive analytics. Each type is used for specific purposes depending on the question a data analyst is trying to answer. For example, a data analyst would use diagnostic analytics to figure out why something happened.
There are various tools used in data analysis. Some data analysts use business intelligence software, such as Tableau. Others may use programming languages such as SQL or Python, which have various statistical and visualisation libraries.
According to O*NET, the projected growth for data analysts is 15% open_in_new between 2020-2030. On average, data analysts earned $98,230 in 2020. However, salary compensation for data analysts varies depending on where they work and what industry they work in.
Individuals who are minimum 12th Class qualified can venture into data analytics.
We at Learning 360 Academy Train the Individuals from zero basics, making their fundamentals strong.
With a strong placement team, at Learning 360 Academy we assure you have a placement ready portfolio when 60% syllabus gets completed and afterthen you start receiving interview calls untill you are placed. Student Placement is our moto.
Our Team will re-arrange the lecture as per trainer schedule avalablity at the earliest. We make sure no topics or concepts are left uncleared.
You will receive course certification on course completion and project submission.