Big Data & Analytics
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New answer posted
6 hours agoBeginner-Level 4
Agar in dono options mein choose karna ho, to meri preference Galgotias University hogi. Main khud CSE (AI) student hoon, aur maine yahan coding culture, hackathons, internships, placement opportunities aur overall exposure kaafi achha dekha hai.
Data Science mein career banana hai to skills aur projects sabse important hote hain. Mere experience mein, Galgotias iske liye better environment aur opportunities provide karta hai. Final decision lene se pehle fees, location aur apni preferences bhi compare kar lena.
New answer posted
a week agoBeginner-Level 4
B.Tech CSE (Big Data and AI Analytics) stands out because it blends core computer Science with two of the most in-demand technologies today—Big Data and Artificial Intelligence. The programme focuses not just on theory but also on practical applications through projects, coding exercises, analytics tools, and industry-oriented learning.
What many students appreciate is the opportunity to work on real-world datasets, explore machine learning concepts, and develop problem-solving skills that are highly relevant to modern businesses. The curriculum is designed to keep pace with evolving industry needs, helping students gain exposure to e
New answer posted
a week agoContributor-Level 10
No, to pursue courses like the Master of Data Analytics at QUT, Indian applicants are not required to show any unofficial or prior knowledge of Stats or Coding for admissions.
Other admission requirements are given below, take a look -
- A relevant UG degree with a GPA of 4.0 on QUT 7.0 GPA
- Having IT, Mathematics or a related quantitative field may be useful for a faster 1.5-year program
- English language proficiency
New answer posted
3 weeks agoContributor-Level 9
Choosing the Data Analytics track at Sanskrithi School of Business opens doors to high-demand roles like Data Scientist or Business Intelligence Manager. Since this is a growing field, MBA graduates with these skills are highly sought after by modern tech and consulting firms. The programme teaches students how to use data to solve complex business problems effectively.
New answer posted
a month agoBeginner-Level 2
Heya!! at GLA University Greater Noida ,the curriculum integrates analytics tools practically. Students work with Power BI, Excel, and data visualization tools as part of the subject. There are also certifications students pursue alongside — like Google Analytics — which complement the Business Analytics specialization really well.
New answer posted
a month agoBeginner-Level 1
Yes, data analytics is included in the CSBS program at LPU as part of the industry focused curriculum. The course structure covers areas like data handling, business analytics, programming, database management, and decision making with technology. Some subjects are designed to build analytical thinking along with computer science fundamentals. Students also get exposure to real business case studies and project based learning, which helps in understanding how data is used in companies for problem solving and planning careers in tech and analytics roles.
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2 months agoNew answer posted
2 months agoContributor-Level 10
MS in Data Analytics cost in UK is lower compared to universities in other top countries. MS in Data Analytics fees in UK range between INR 22 L - INR 39 L per year. Avg cost of living in UK for Indian students is between INR 1.09L - INR 1.45L per month. It includes expenses such as- housing, food, bills, etc., with London being most expensive than other cities in UK.
New answer posted
2 months agoContributor-Level 10
PIBM Pune trains students in Business Data Analytics through a mix of industry‑aligned curriculum, hands‑on tools, and certifications, focusing on data visualization, AI/ML, and decision‑making skills. The training is designed to make students “job‑ready” for analytics roles across finance, marketing, HR, and operations.
How PIBM Trains in Business Data Analytics
1. Curriculum Integration
- Business Analytics is offered as a specialization in PGDM/MBA.
- Courses cover Data Analytics, Artificial Intelligence, Machine Learning, Data Visualization, and Predictive Modeling.
- Training is profile‑oriented, meaning students ar
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