Data Analytics

There are various tools that and software that you will learn during the course which are mentioned below:

• Data Analytics Tools: Python, R, SAS
• Database Management: SQL, NoSQL
• Big Data & Cloud Computing: Hadoop, Apache Spark, AWS
• Machine Learning & AI: TensorFlow, Scikit-Learn
• Data Visualization: Tableau, Power BI
• Business Intelligence (BI) Tools: Google Analytics, Excel

Knowing these tools increases your job prospects and makes you a valuable candidate in the job market.

If you're interested in business decision-making and leadership roles then an MBA in Data Analytics is better. If you prefer coding, statistics, and machine learning, an MSc in Data Science is a better option for you.

With a graduation rate of 47%, your possibilities for a Master degree in Data Science, Big Data Analytics, or MCA are restricted as many colleges require 50% or higher. However several private colleges and distant learning programs provide flexibility.

Colleges and Exams: Lovely Professional University (LPU) offers MCA and M.Sc Data Science (LPUNEST).
Amity University - M.Sc Data Science and MCA (Direct Admission)
MIT-WPU Pune: MCA (Direct/Entrance-Based)
IGNOU - MCA (Distance Mode with No Percentage Barrier)
DY Patil University: MCA, M.Sc. Data Science (Merit-Based)

Based on current market trends, the TSOM Diploma in Data Analytics Co-Op programme could be considered worth pursuing, as data analytics is a high-demand field with growing job opportunities, and the co-op aspect provides valuable real-world experience, allowing graduates to potentially land entry-level positions in the field; however, the value depends on your individual career goals and the specific job market you are targeting

Clark University is one of the best choices for pursuing an MS in Data Analytics. Advanced analytics and data operations courses help students to turn data into a useful resource. With a focus on advanced statistical analysis, data mining and warehousing, and Python programming, the Master of Science in Data Analytics programme will equip students for a position in a technologically advanced commercial setting. With the tools to uncover the narrative behind massive volumes of data, Clark will equip students to confidently and skillfully lead their organisation to better business decisions and outcomes.

All this depends over the personal choice and interest. The fields you are good at or you had interest, you should go for that.

Some of the best fields are Finance, Healthcare, Retail, Business Intelligence, Technology & Entertainment.

These are some of the best fields where data analyst is very much required. 

Hey there! So, for Big Data Analytics MBA at NIU, here's the scoop:

Admission Requirements:

Minimum 50% marks in graduation

CAT/MAT/NSAT entrance exam scores accepted

Entrance Exam Cutoffs:

CAT: Minimum 60% percentile

MAT: Minimum 75% percentile

NSAT: Around 55-60%

That's the cutoff marks required for MA 

Hope this helps you accordingly!