Hi,

My answer would be a BIG YES. You can crack IIT JAM in 3 months. If you remember all those stuffs that you studied in 1st and 2nd year then it should even take more less time.

“IIT JAM Success Mantra” that contains all the tips and tricks along with expert advice, book recommendations for various subjects, scopes after exam and complete self preparation guidance.

The most important thing that is needed for IIT JAM MA exam is really good knowledge of the basics.

For maximum of ones month, study the mathematics of +1 and +2. This will give you a strong foundation of really useful formulas.

Next thing you need to do is study Real analysis and Linear Algebra, most of the questions are from these two topics. Don't go for really fancy named books, they're not necessary for IITJAM. Stick to the books that are recommended in your college course, as they're made by keeping in mind about the topics and details that are actually needed .

Next go for functions of one and two variables as the questions from these topics are really easy. I'll suggest the book by Tom Apostol.

Then comes the most scoring topic - Differential Equations. You should be so thorough with this topic so that you can solve all problems without any sweat. Everyone will be able to solve Questions from this topic so you should be sure that you don't lose marks over here. Any book with basic Differential Equation is good.

Vector Calculus and Integration : most average student just leave this topic, as it takes a lot of time to solve. Practice them as much as you can , also visualization of the problem will be the key to solving them. I had studied this topic from the book named Calculus and Analytical Geometry by Thomas and Finney.

Hope this helps.

All the best.

Hi, the answer of your question is... YES.

First of all Data Analyst a career as a data analyst consists of transforming data into information that can be easily read, and which offers actionable insight into business decisions.

Things like Business intelligence tools are helpful and essentially supercharged spreadsheet tools made for this field. They allow for the organization, aggregation, and visualization of data in easy-to-use point-and-click dashboards, with no coding required.

Also other languages like R, Python and SQL are the range of tools supporting data scientists throughout their works.

Thank You.

Hello Buddy! Hope you're doing good.

For choosing between these two, your aptitude matters as Stats honours to be more mathematically rigorous than Economics Honours. So, if that’s fine then the problem of choice matters.

So you’ve choice between these options then Statistics is better than Economics because you can always switch from Statistics to Economics but vice-versa is difficult. Also, much of economics is now driven by Empirical work. So, knowledge of Advanced Stats will be better! Statistics training in Economics is still very limited. Also, if you don’t want to switch to Economics for higher studies then you could look at Actuaries where Statistics coursework will be handy. And data science boom implies that Statisticians will continue to rule the world. Hope this will help you.

ALL THE BEST! WORK HARD !!

Hi,

I hope you are doing well.

Both these courses are absolutely great and have some wonderful futuristic aspects in terms of education and placement opportunities as well.

You need to choose a area where you know that this is your interest and you can do very nicely in this area.

Because, a area which is chosen by our interest the results are always much better and great than the one’s who chose courses of their least interest.

I hope the above information helps.
All the very best

Hello,

If you enjoy working with numbers and want to learn more about statistics, consider getting a bachelor's degree in statistics. A bachelor's degree in economics is the way to go if you're interested in the subject.

After earning your undergraduate degree, you can pursue an MA, MBA, or PHD in statistics or economics.

When you finish your economics hons, you can pursue INDIAN ECONOMIC SERVICES, which have the same importance and respect as other IAS services.

In addition, data scientists are in high need right now, thus statistics majors are in high demand as well. Although no one can predict the future, economists are always in demand, especially during recessions.

I hope you find this material useful.

Regards.

Hello,

Consider pursuing a statistics bachelor's degree if you appreciate working with numbers and want to learn more about statistics. If you're interested in economics, a bachelor's degree in economics is the way to go.

You can pursue an MA, MBA, or PHD in statistics or economics after completing your undergraduate degree.

You can pursue INDIAN ECONOMIC SERVICES, which have the same value and respect as other IAS services, when you finish your economics hons.

Furthermore, data scientists are in high need right now, thus statistics majors are in high demand. We can't forecast the future, but economists are always in demand, even during recessions.

I hope this information helps.

Regards.

Hello,

Hope you are doing well.

Here is the list of Top colleges for MSc in Statistics:

• Hindu college, Delhi
• Loyola college, Chennai
• PSG College of Arts and Science, Coimbatore
• Presidency College, Chennai
• St. Joseph College, Banglore
• KJ Somaiya College of Science and Commerce, Mumbai
• Farook College, Kozhikode
• Government Arts college, Coimbatore

For relevant information, visit this link:

https://university.careers360.com/colleges/list-of-msc-in-statistics-degree-colleges-in-india

Top colleges for MSc in Data Analytics:

• PSGR Krishnammal College for Women, Coimbatore
• University college, Thiruvananthpuram
• JKK Nattaraja college of Arts and Science, Komarapalayam
• Indian Institute of Information Technology and Management,  Trivandrum
• Sri Ramachandra Faculty of Engineering and Technology, Chennai

For relevant information, visit this link:

https://university.careers360.com/colleges/list-of-msc-degree-colleges-in-india?branch=Data%20Analytics

Hope this helps. All the best!

Dear applicant,

Out of the two options that you chose, Pondicherry University is a better one compared to Indira Gandhi institute. Pondicherry University has a sophisticated campus, well maintained by the college authority, the Computer Science Engineering curriculum is nicely taught by the fellow faculty members. The starting placement package 3-4 LPA. This college gives you all the desired facilities as well,

https://dqxeclau.top/university/pondicherry-university-puducherry

Good luck!!

Hiii

Four year education in science in Medical Laboratory Technology or BSc MLT is a college class of 3-year, which is separated into six years (two semesters each year). In this course experts are instructed about different parts of medical services. The understudies perform different demonstrative examination on body liquids, which incorporate hematology, bacteriology, immunologic, compound and tiny during the course. The subjects educated in the program are Clinical Endocrinology and Toxicology Lab, Diagnostic Molecular Biology Lab, Diagnostic Cytology and so on

Hi,

Well AI is combination of both statistics as well as electronics. AI is a broad technology with many possible applications. It’s typically divided into special sub-branches.  Here’s a brief summary of each:

• General problem solving: Problems with no known algorithmic solution. Problems with ambiguity and uncertainty.

• Expert systems: Software that incorporates a knowledge base of rules, facts, and data derived from multiple individual experts. The knowledge base can be queried to solve problems, diagnose medical conditions, or provide advice.

• Natural language processing (NLP): NLP is used to derive understanding from natural text. Voice recognition is a part of NLP. Language translation is an application.

• Computer vision: Analyzing and understanding visual information (photos, video, etc.). Machine vision and facial recognition are examples. Used in self-driving cars and factory inspection.

• Robotics: Making robots more intelligent, self-operating, adaptive, and more useful.

• Games: AI is great at playing games. Computers already have been programmed to play and win at chess, poker, and Go.

• Machine learning: Procedures to allow a computer to learn from data or other inputs and make sense of the results for application.  Neural networks make up the framework for machine learning.

Hope this helps.