Big Data Analytics Course - Eligibility, Admission Process, Fee, Syllabus, Career Scope, Salary

Data Analytics Course deals with the collection, analysis, and organization of data in order to make calculated decisions or predict future outcomes. Data Analysis majorly plays around with figures and evaluates business patterns that help the organization in expanding its revenue. The profile requires rigorous market research and logistic analysis. Using sophisticated analytical tools and methods, data analysis work may include projections, data visualizations, and creating content. To pursue a career in this field, taking statistics and research methodology is a smart move. In addition to the core curriculum, the data analysis course includes in-depth knowledge of computer programs like Microsoft Excel, Microsoft Access, SharePoint, and SQL databases. Data Analysts are often asked to participate in strategic planning activities as well. The duration of the Data Analytics Course is 1- 4 years and can be pursued through offline, and online platforms. 

Data Analytics Course Admission is done at undergraduate and postgraduate levels. Candidates who wish to pursue a data analytics course have to pass class 10+2 with at least 50-60% marks in aggregate from a recognized institute. Some of the top platforms offering Data Analytics Courses are Coursera, Udemy, Linkedin Learning, Simplilearn, etc. The average Data Analytics Fee at the undergraduate level is approximately INR 1,00,000 to 13,00,000, whereas at the postgraduate level is INR 14,000 to INR 20,00,000.

Industry experts believe that analytics has been a big trendsetter since 2018. Experts predict a significant increase in the adoption of analytics in healthcare, the application of behavioral sciences in analytics, and the use of unstructured and alternative sources of data such as TV analytics, speech analytics & weather analytics. After the conclusion of the data analytics course, candidates are offered jobs in sectors such as Data scientist, Business analyst, Data analyst, Data architect, Operations Analyst, etc. Data Analytics Salary approximately ranges from INR 5,00,000 per annum to INR 16,00,000 per annum where experienced ones can have an average salary of INR 20,00,000 per annum.

LATEST - Data Analyst vs. Data Scientist: Which is a Better Career Option?

The highlights of Data Analysis Course tates the overview of  the etire course. This helps candidates to understand the topic discussede here in this page.

Candidates who are interested in pursuing the Data Analysis Course are advised to check the eligibility criteria of the course before applying it so that they do not waste time on such a course that is not their best fit. The Data Analysis Course Eligibility Criteria have been listed in the pointers below.

 Data Management/ Data Analysis Eligibility Criteria For Undergraduate Course 

The eligibility criteria for the Data Analysis Course at the undergraduate level have been listed in the following pointers.

• Candidates have to complete their class 10+2 with Physics, Chemistry, and Mathematics from a recognized institute.
• They must also have a minimum aggregate of 60% in their class 10+2 in order to get admission into a big data analytics course at the bachelors level
• If a candidate has studied computer science in 10+2, it will be considered an advantage in clearing the eligibility criteria during the admission process

 Data Management/ Data Analysis Eligibility Criteria For Postgraduate Course 

The eligibility criteria for the Data Analysis Course at the postgraduate level have been listed in the following pointers.

• Candidates willing to apply for the postgraduate degree in big data analytics should have a bachelor’s degree in the related discipline from a recognized institute across the nation.
• Candidates also need to score a minimum 50% aggregate in their bachelor’s degree in order to pursue a postgraduate degree.

The types of data analysis courses have been listed in the following headers.

Which is the Best Data Analytics Course Online?

The table below highlights the Data Analysis Certification Courses from renowned institutions offering quality courses at a pocket-friendly course fee.

Top 5 Data Analytics Courses in India

As per the latest trends, we have sketched some of the top 5 data analytics courses in India. Candidates who are eager to pursue the course can refer to the table below to find all the necessary information about the same.

Data Analysis is an extensive study that requires technical expertise as well as a strong business sense. A broad course content structure for Data Analysis includes:

Data Analytics Subjects

Given below are some of the Data Analytics Course Subjects in the following tables -

Data Structure and Algorithms

Probability and Statistics

Business Fundamentals

Text Analytics

Data Collection

Data Visualization

Big Data Analysis has been changing organizations and enterprises immensely over the last few years. With companies peeking further into the standard ways of analysis, the significance of big data analytics has increased multifarious. This has led to increased acquisitions from private companies in big data Analysis. Some of the latest trends in Big Data Analysis are as follows-
 

1. In-memory Computing - In-memory computing denotes utilizing a type of middleware software that permits one to store data in RAM, across an assemblage of computers, and process it in parallel.
2. Data-As-A-Service - In computing, Data-As-A-Service, or DaaS, is a phrase used to illustrate cloud-based software instruments used for working with data, such as handling data in a data warehouse or analyzing data with business intelligence.
3. Data Analysis Automation - Data analytics automation is the process of using advanced computer programs and simulations to examine digital information.
4. Augmented Analytics - Augmented analytics is a class of analytics powered by artificial intelligence (AI) and machine learning (ML) that expands a human's ability to interact with data at a contextual level.
5. Smart Cities Development - The main goal of Smart Cities Development is to optimize city functions and promote economic growth while also improving the quality of life for citizens by using smart technologies and data analysis.
6. Enterprise Content Management - Enterprise content management is a set of defined processes, strategies, and tools that allows a business to effectively obtain, organize, store, and deliver critical information to its employees, business stakeholders, and customers.
7. IoT Merged with Data Analytics - Merging Data Analytics and IoT will Positively Impact Businesses from the viewpoint of volume, structure, driving revenue, streaming analytics, spatial analytics, time series analytics, and perspective analytics.

A Data Analyst equips the best data analytics tools to accumulate insights from data. Every day 2.5 Quintillion bytes of data are developed. Here are the top data analytics tools everyone should use in 2023.

Data Analyst is a business research profile where you are responsible for analyzing data and helping the company take important business decisions. A data analysis specialist or data analyst’s job is to use that data to help companies make better business decisions. This could include figuring out mechanisms to price new materials in the market, figuring out ways to reduce transport costs, finding cost-cutting methods for a company, and determining the workforce to bring out optimum productivity. Since the role is so central to business development, most firms require a data analyst, and job opportunities are very bright.

If you want to make a major leap in your career and get an exponential increase in salary, then an executive program or certification from one of the top B-schools is the best option for you. 

The broad fields where Data Analysis is extensively used include:

After successful completion of a Data Analysis course, the key responsibilities of a Data Analyst include:

• Develop records management processes and policies
• Conceptualize & maintain automated data process
• Identify, assess, and implement external services and tools to support data validation
• Monitor and audit data quality
• Collate and document detailed business requirements using appropriate tools and techniques
• Design and conduct surveys and analyze survey data
• Create data dashboards, graphs, and visualizations
• Conduct sector and competitor benchmarking
• Mine and analyze large datasets, draw valid inferences, and present them successfully to management using a reporting tool

After having pursued a certification or PG diploma in data analysis, you can expect your salary to start from Rs. 10 lakh per annum. Salary varies from city to city, for example, the starting salary in Mumbai will be around Rs. 12.19 lakh per annum. Whereas, the starting salaries in Delhi and Bangalore will vary between Rs. 10 and Rs. 10.5 lakh. 

Salaries increase with experience and an individual working in this field for 10 to 12 years is expected to earn up to Rs. 25 lakh per annum. For other PGDM and management programmes check collegedekho.com. Specializations in SAS, Data Modeling, R, and Big Data at a senior level can also increase your chances of growth in the Data Mining & Data Analytics industry.

Aureus Analytics, a Customer Intelligence and Experience Company predicts prospects of data and its implementation to grow 50 times by 2020. They further go on to say that currently, India faces a deficit in the talent pool that has the ability to analyze this huge data pool, thereby creating a skill gap in the industry. So interested students stand a fair chance of excellent growth in a career in Data Analytics.

With a data analysis degree in hand, aspirants can work in the following capacity:

• Data Analyst
• Operations Manager
• (Senior) Business Analyst, IT
• Project Manager, IT
• Vice-President, Operations
• Business Consultant
• Analytics Manager

Top Recruiters of Data Analytics Course

Some of the top recruiters of data analytics courses have been listed in the following table along with their average annual salaries.