1. Best GATE-free M.Tech college for data science with the best placement?

Here are a few of the top M.Tech colleges for data science which have good placements, and are also GATE free:

Indian Institutes of Technology: A number of IITs offer M.Tech data science or related fields in their colleges. The admission process is based on the entrance exam. For example: IIT Delhi - M.Tech/MS in MINDS, IIT Bombay - M.Tech in CSE (Data Science Specialization)

National Institutes of Technology (NITs): Some NITs provide M.Tech degree in the field of data science or related disciplines through separate entry tests. Example: NIT Trichy - M.Tech in Data Science Birla Institute of Technology and Science (BITS Pilani): Provides M.Tech degree in the field of data science through BITSAT - BITSAT Entry Test.

International Institute of Information Technology (IIITs): Some IIITs provide M.Tech programs in data science.  Some of them conduct their entrance exams. For instance, IIIT Hyderabad offers M.Tech in Data Science.    Private Universities: Many other well-known private universities are offering M.Tech programs in Data Science through their entrance exams. For example, Vellore Institute of Technology (VIT), Manipal Academy of Higher Education (MAHE)

Research should be done on each program regarding the curriculum offered, the faculty expertise, and the placement record before applying. You can find all information on their official website.

2. Best M.Tech college without GATE with the best placement for a data analyst?

Data Science courses usually cover concepts and skills involved in data analysis. Still, some colleges may have more specialized M.Tech programs in Data Analytics.

Use the list in question 1 as a reference. Many colleges which offer M.Tech Data Science also serve aspiring Data Analysts.

3. Is Big data analyst and data analyst course are different?

Yes, There are some key differences between Data Analyst and Big Data Analyst roles:

Data Size: Data Analysts typically work with smaller datasets, while Big Data Analysts manage massive datasets requiring specialized tools and techniques.

Skills: The areas of data cleaning, analysis, visualization, and communication are the core focus areas for Data Analysts. Big Data Analysts will also need knowledge of Hadoop, Spark, and distributed processing frameworks.

Career Paths: Data Analysts may progress to Business Intelligence or Data Science roles. Big Data Analysts may specialize in areas like cloud computing or data engineering.

However, the line may blur in practice. Some M.Tech programs might offer a data science curriculum with modules focused on big data processing.

4. Review of KIIT CSE in Data Analyst and how is the placement?

KIIT CSE offers an M. Tech curriculum in Computer Science and Engineering (CSE) with specializations in Data Science. Though data analyst is not mentioned explicitly, you can expect data analysis skills to be a part of the curriculum.

You can research KIIT CSE for Data Analyst Placement as follows:

KIIT Website: Check the KIIT website for details regarding the Data Science specialization within their M.Tech program in CSE. Placement reports might be available.

Reviews and Forums: Search online for reviews and discussions from alumni or current students about KIIT CSE and data science placements.

Contact KIIT: Consider directly contacting the KIIT admissions office or department to inquire about the program's focus within data science and potential career paths for graduates.

5. VIT vs KIIT VS SRM

These three universities are quite famous for engineering and technology education. Let's just compare briefly to help decide:

Criterion    VIT     KIIT     SRM

Reputation    National & International Recognition    Strong Reputation in India    Improving Reputation

Programs Offered    M.Tech in Data Science (through VITMEE)     M.Tech in CSE (Data Science Specialization)     M.Tech in Data Science

Placements    Historically Strong Placements    Good Placements    Improving Placements

Fees    High Fee Structure     Moderate Fee Structure     Moderate Fee Structure

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Important Note: This is a general comparison. Specific program details, faculty expertise, infrastructure, and placement records may be significantly different within each university.

Do the following:

Visit the websites for each university: Look up the specific data science programs taught, curriculum details, faculty profiles, and any placement reports that are available.

Consider factors important to you: Consider fees, location, infrastructure, duration of the program, and specific topics in data science that may interest you.

Look for online reviews and resources: