Google Data Analytics Course

What is Data Analytics

Data Analytics is a science which involves the processing of raw data to find trends and answer queries. It is the collection, organization, and transformation of data to draw actionable insights, helping organizations to make business decisions and predictions. Whether we realize it or not, we use data every day. It can be anything from facts to support our thesis to tracking our daily steps on our mobile app. Manufacturing firms require data to decide whether to continue with the product or make any changes to them. Any course-offering institute, through data, can figure out the trending course they can add to their course list. There are 4 types of Data Analytics:

1. Descriptive Analytics: It looks into, “What happened?”
2. Diagnostic Analytics: It answers, “Why something happened?”
3. Predictive Analytics: It helps answer, “What happens in future?”
4. Prescriptive Analytics: It answers, “What to do next?”

Importance of Data Analytics

Data Analytics help identify patterns in data, enabling businesses to make decisions and function smoothly and efficiently. Data Analytics aid banking and financial institutions to identify market trends and assess risks. It helps organizations in detecting and preventing fraud. Hospitals use Data Analytics to keep track of their patients. The Healthcare industry has been revolutionized as Data Analytics help them allocate funds and improve diagnostic techniques. Data Analytics help identify spending patterns, enabling organizations to apply cost-saving measures.

Data Analytics as a Career

Data is in abundance and highly accessible than ever. As a result, every organization wants to reap its benefits. These organizations collect loads of data every day and they need Data Analytics to make sense of these data. Some roles you can take up in a Data Analytics career are Research Analyst, Marketing Analyst, Risk Analyst, Operation Analyst, Business Intelligence Analyst, Budget Analyst, etc. If you are thinking of pursuing a career in Data Analytics, but couldn’t justify your choice, then the reasons mentioned below will make you consider it as the best career choice.

1. High demand for Data Analysts: According to the World Economic Forum, the job of Data Analysts will be the hottest career by 2025.
2. High pay and perks: One of the most attractive attributes of a Data Analytics job is the salary and remuneration. Pay depends upon the industry you are working in and your compensation may include stocks or equity packages.
3. All Organizations need Data Analysts: Organizations collect heaps of raw data, which makes it mandatory for them to appoint Data Analysts to make sense of these data to draw actionable insights.
4. Future Leaders: Data Analysts help organizations make better decisions, making them valuable for the business. They can be data-driven leaders as the insights they provide to the organizations are very vital.

Numerous premium institutes offer Data Analytics Courses to convert your aspirations into reality. Finding the best program that fits best for you is important. Google Data Analytics Course helps you prepare for a career in Data Analytics.