Big Data & Analytics

Probably, preparatory sections of aptitude tests in data analyst programs will be as follows:

1. Mathematics: Percentages, Ratios, Probability, Algebra.

2. Logical Reasoning: Problem-solving, Puzzles, Patterns.

3. Statistics: Mean, Median, Mode, and Data Distribution.

4. Data Interpretation: Reading graphs, tables and charts.

Introduction to Programming: Basic Training in Python, SQL, or R.

Critical Thinking: Infer from Datasets and Generate Insights.

These listed below are the core building blocks towards the accumulation of analytical skills towards becoming a data analyst. 

 Adani Institute of Digital Technology Management (AIDTM) also offers an Executive Program in Business Analytics (EPBA). This one-year programme is delivered by industry and academic experts and is designed to minimize disruption to working professionals.

The PGDM in Big Data Analytics programme at AIDTM has a 4.8 rating for placements, 4.8 for faculty and course, and 4.6 for campus life. AIDTM has an overall Shiksha rating of 4.7/5. One reviewer highly recommends AIDTM for those seeking a practical education in Big Data Analytics.

NIT Andhrapradesh offers eight specialisations in M.Tech courses. In addition, the institute offers around 90 seats for all its M.Tech courses, and 15 seats are offered in M.Tech in Computer Science and Data Analytics. For NIT Andhra Pradesh M.Tech admissions, candidates are required to qualify for the GATE entrance examination and further admission process. 

MIT and Harvard offers quality MS programme in Big Data & Analytics specialization. MIT Master's in Data Science is a 2 years course while Harvard MS in Data Science is a 18 months course for international students. The below table includes comparision between these two in terms of world ranking and course fees:

Karpaga Vinayaga College of Engineering and Technology most often provide about 18 seats for the M.E. in Big Data Analytics course. This number can be altered by the other admission policies of the college and changes in the regulations recommended by the government. The college also has other reasons that include category reservations and annual intake limits that may affect the allocation of the seats. However, any details relating to the availability of seats in this programme and the admission procedure in general should be sought from the college admission office .

Like any graduate program, a Master's in Data Analytics can be challenging requiring dedication and effort. The difficulty often depends on your background in quantitative subjects and your willingness to engage with the material. However, many find it rewarding and manageable with the right preparation.

While coding is helpful especially in advanced data analytics roles, it is not always necessary. Many tools (like Excel, Tableau, and others) allow you to perform data analysis without extensive coding knowledge.

Graduates typically analyze data to derive insights, inform strategic decisions and drive business improvements. They may work in roles such as data analysts, business analysts or managers overseeing analytics projects.

An MBA in Data Analytics focuses specifically on data analysis, statistical methods and data-driven decision-making while a general MBA covers broader business concepts without a specific emphasis on data. The specialised programme prepares graduates for the roles that requires strong analytical skills in addition to business acumen.

Know more about -

MBA in Data Analytics

Graduates can find opportunities in a wide range of industries including:

• Finance
• Healthcare
• E-commerce
• Consulting
• Technology
• Retail