Best Data Analytics Colleges in Bangalore – Career, Scope & Job Opportunities
You might already know the fact that social media sites and search engines like Google possess a huge database of your entire search history and personal details? These data are often accessed by private players to know your interests, usually to target you for their advertisements.
Data analysis is a method for aiding better decision-making by inspection, cleansing, transformation and modeling of data. Data analysts use computer-based tools to generate meaningful solutions from large quantities of raw and unprocessed data.
This sector has become active with the influx of large quantity of data into the digital platforms/ web through weblogs, social media posts, sensors, images, e-mails and video files.
There are requirements to check and analyze data. Data analysts use data from Google, Facebook, Twitter, and other platforms to identify individual preferences and patterns of searches and views.
The social media platforms evaluate these patterns and preferences to provide us with most suitable newsfeeds. These data are evaluated by private companies, especially for sending advertisements to their target audience.
Data analytics allow the use of knowledge, tools and technologies to extract valuable insights from data. It has a huge role in Business/ data management.
Data analysts in a company study on the data generated by a company and use the audience response and other criterions to improve customer experience and to generate more business.
Methods for data mining, data warehousing, business intelligence, statistical methods, query languages like SQL are been employed in this process. The technology-driven data analysis helps in generation of better knowledgeable information for better business planning.
Courses:
B.Tech in Big Data Analytics is a 4-year undergraduate engineering course which gives ample training in existing and evolving technologies and theories regarding Big Data. This course makes you competent in data science and relative fields of the profession.
Top institutions like Indian Institute of Technology (IITs), Indian Institute of Management (IIMs) and Indian Statistical Institute (ISI) offers 2 years (4 semesters) Post Graduate Diploma in Business Analytics. International Institute of Information Technology, Bangalore provides PG Diploma in Data Science.
Data Analytics is taught as very specialized degree and certificate courses by several other universities and institutions for graduates. Online courses provide analytical training for comparatively lesser costs.
Eligibility:
You can opt for a B. Tech in big data analytics after successful completion of 10+2 in science background (with Physics, chemistry and mathematics as subjects) with at least 60% marks. The criteria can be different in different institutions.
B.Tech Computer Science and Engineering and Big data Analytics/ Business Analytics can give you sufficient knowledge and experience in the field.
Graduates in IT or statistics field with at least 60% marks can choose to pursue best diploma and certificate courses at postgraduate level in this advanced field.
Data Analysts require 3 to 4 years of work experience and good knowledge in data mining fields.
Skills Required:
- Good analytical, statistical and problem-solving skills.
- Understanding of coding
- Data visualization and communication skills
- Decision-making skills
Best Data Analytics Colleges in India:
- Indian Institute of Management, Bangalore
- Indian Institute of Management, Calcutta
- Indian Institute of Technology, Kharagpur
- Indian Statistical Institute, Kolkata
- Great Lakes Institute of Management- Bangalore, Chennai, Gurgaon, Pune, Hyderabad
- Top Universities offering data analysis course in India
- NMIMS
- National Institute of Technology
- NIITs
- BRIDGE School of Management, Gurgaon
- Praxis Business School- Bangalore, Kolkata
- Aegis School of Business, Data Science and Telecommunication- Mumbai & Pune
Best Data Analytics Colleges in Bangalore:
- American Management and Technology College, Jaro Education
- SJES College of Management Studies
- International Institute of Business Studies
- Reva University
- International School of Management Excellence
- Dayananda Sagar University
- St. Hopkins Group of Institutions
- Manipal Global Academy of Data Science
- International Institute of Information Technology
Scope:
Big data analytics is a fast-growing sector and requires skilled professionals for its increasing requirements in the industry. NIIT offers industry-aligned certifications in Big Data and Data Sciences, Databases Systems, Artificial Intelligence and Machine Learning.
Nasscom has predicted that this sector in India can expect an eight-fold growth from the current level of $2 billion. It might become a $16 billion industry by 2025.
Surveys have found that 65.2 percent of respondents use some form of analytics for improving their business. According to Nasscom, India is one of the top 10 big data analysis markets in the world and is fast expanding to be among the top three in three years.
Candidates from management background with good knowledge of using coding tools can build mathematical models of the data analysis.
An MBA graduate with good management skills and basic knowledge of coding are preferred for management roles in certain offices while B. Tech graduates are preferred for coding functions.
Business analytics include segments like data analysis, data mining, machine learning and programming languages like R and Python. Knowledge of programming enables computation and visualization of core date. Practical and theoretical knowledge are a must for this.
Career:
Data analytics, as an industry has been classified into various professional categories. They include
- Business Analyst:
Business Analysts study business change needs, assess the business impact of those changes, capture, analyze and document requirements and supports the communication and delivery of requirements of relevant stakeholders.
Business analysts require a good knowledge of the domain with technical expertise on basic statistics, simple analytics, predictive modeling and excel.
As a communication bridge between IT and the business stakeholders, they need to be good verbal and written communicators, tactful diplomats, problem solvers, thinkers and analyzers.
They engage stakeholders and also understand and respond to the rapidly changing business environments. Business analysts need a basic understanding of the IT systems, even though they may not be necessarily from an IT background.
- Data Scientist:
Search engines like Google and social media platforms like Facebook, LinkedIn and Twitter have a large volume of personal details of its users. These details could include the search pattern and almost every information on individuals which goes through the internet.
Large quantities of data are uploaded and are generated in the web world which could make large waves when compiled properly. Data scientists go through these data and interpret it using various tools and methods to make a legible database.
Strong analytics background and skills in statistics and command in advanced modeling are a prerequisite for being a data scientist. Data scientists are supposed to have skills in using programs like SAS, Visual Basic for Applications (VBA) and expertise in programming languages R, Python and SQL.
- Machine Learning Specialist:
Machine learning specialists provide systems with the ability to automatically learn and improve through the application of artificial intelligence (AI).
Artificial Intelligence gains access to the large database and learns things by itself despite being specifically programmed for it.
Experience and expertise on machine learning and large dataset can make you a machine learning specialist.
You also need to have good learning and skills of programming languages R or Python, and skills in usage of Neural Networks, Support Vector Machines and Random Forests.
- Big Data Specialist:
These professionals analyze large volumes of classified and unclassified data to gain insights from data acquisition, data mining, data structuring and data analysis.
They examine big data or the large data sets that need to be analyzed computationally to reveal patterns, trends and associations to gain insights relating to human behavior and interactions.
Data handled through big data analysis include those of business transactions, social media, sensor or machine to machine data. They may include texts, numerical, audio, video, email, money transactions, etc.
These data are used by companies for cost management, product development, time reduction, and smart decision making. The data is also used to develop machine learning techniques to build and train predictive analytic apps.
- Data Visualizer:
This creative profession deals with the presentation of data in a pictorial or graphical format. Good analytics skills and expertise in making reports are key features for a data visualizer.
Your work as a visualizer is to create reports and visualize informative data for easy reference. Excel, R, Tableau and other tools are to be used to bring out quality outputs.
Students and professionals with good quantitative aptitude and cognitive skills can grow in their career as they become experts in dealing with numbers.
This job profile helps you to learn consistently and upgrade your skill to meet the demands of expanding fields. You might have chances to choose between evergrowing sectors of artificial intelligence or supply chains, and from many more other options. Upgradation of skills and knowledge is a necessity in this sector due to its constantly evolving nature.
- Democratization of Data:
Data is generated and collected with more ease than earlier. It is analyzed for various purposes using various analytical tools. Data-driven decision making has become a necessary business.
Top Recruiters:
Top IT companies and business firms are the prime recruiters of professionals in this sector. You can find jobs in software firms, internet businesses, travel and hospitality, government, healthcare, retail, consultancies, large businesses, online businesses.
Some of the top recruiters who hire people as data analysts include
- TCS
- Wipro
- Infosys
- Dell
- Citibank
- Accenture
- IBM
- Softtech Career Infosystems Pvt. Ltd.
Salary/Pay Scale:
The average salary of an analytic professional in India is around 9.4 lacs per annum. A fresher can start earning around 4 lacs per annum. This can vary from city to city. A professional in Mumbai may get salary around 12.19 lacs per annum when Delhi and Bangalore pay you between 10 to 10.5 Lacs.
A data scientist is the US may earn from $90000 to $240000.
The opportunities and scope for data analysts are expanding like anything. Adequate technical skills in the segment can help you reach highly paid positions. Your job will be more demanding with the rapid advancement of technology and generation of data in digital formats.
Set your ambition high as you reach out for it to gain knowledge and experience beyond limits. You will also have to work closely with artificial intelligence as it may turn out to be the immediate game changer of the age.
