Data Analytics Course for Beginners

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What is Data Analytics?

Data Analytics is defined as the process of analysing data sets to find new trends and draw conclusions about the information they contain. 

Initiatives including data analytics can support a company's attempts to boost customer service, optimise marketing campaigns, and generate revenue. Analytics also allows companies to respond quickly to changing market trends and gain an advantage over competitors. But improving corporate performance is data analytics' ultimate objective. 

Depending on the particular application, data may be analysed from new information that was processed for real-time analytics or from historical records. It might also originate from internal systems and from outside sources.

Data analytics analyses data sets to identify emerging trends and make inferences about the information they contain.

Initiatives including data analytics can support a company's attempts to boost customer service, optimise marketing campaigns, and generate revenue. Analytics also gives companies the ability to respond quickly to changing market trends and gain an advantage over competitors. But improving corporate performance is data analytics' ultimate objective. 

Why Learn the Basics of Data Analytics with a Data Analytics Course?

  • Demand has increased by 400%

The need for Data Scientists has increased dramatically due to every organisation placing significant bets on data analytics to boost business value.

  • Lucrative salary

The average salary for Data Science roles is 10LPA+, according to Glassdoor.

  • Love for math and programming

Data Analytics course is a heady mix of math, statistics, and programming - it can't get more cutting edge than this.

How can you pursue further information on data analytics?

You can work in one of the fastest-growing industries and one that is constantly evolving and seeking out fresh insights if you have a strong foundation in data analytics with a data analytics course.

If you are interested in studying data analytics, you can learn online and balance work and study.

Opportunities aren't simply restricted to working for data science organisations. Jobs are now accessible in various sectors, including health, transportation, finance, entertainment, and construction, as demand for data science specialists has skyrocketed.

Why Imarticus?

You may have found yourself in uncharted territory because of how work changes. You might be expected to perform more tasks. A faster pace of work may be required of you. As a result, you may worry about your outdated skills. We can help you refresh current skills and embrace new ones, so you stay in demand.

Imarticus Learning is an expert in online training. We are constantly updating our programs to stay current with the latest trends and technologies so that you can learn at your own pace with the help of our expert trainers. 

Over a decade, we have impacted over 10,00,000 careers through leading-edge curriculums, highly experienced faculty, and over 500 global partnerships with leading institutions and corporations. Imarticus Learning seeks to upskill existing and future workers to fulfil various industries' current and upcoming job market demands.

Imarticus Learning has successfully helped thousands of students get into leading multinational companies and start-ups and has helped in the career transition of more than 45,000 students across the globe.

In the financial year 2021-2022, we have placed a record of 1841 students, which means "1 student was placed every 4.75 hours".

8 out of 10 students of Imarticus Learning get placed in industry-leading firms like JP Morgan, KPMG, Morgan Stanley, Goldman Sachs, HSBC, BNP Paribas, etc.

We are associated with over 480 companies, including most of the Fortune 500 companies.

Start your learning journey in analytics with Imarticus. Our premier data analytics course will teach you about the latest developments in the data science industry and equip you with the practical and theoretical knowledge that an expert data scientist must possess.

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