Business Analytics
Course Overview
The programme will enable learners to decipher crude data and highlight meaningful insights. Beginning with basic statistics and tools, as the course progresses, learners will be able to implement analytical techniques and apply fundamental quantitative methods to real business problems.
Total course duration: 540 hours, including electives.
This is an NSQF level-5 course.
View MoreKey Topics
- Operational research – Business Finance
- Python Programming – Introduction to databases
- Data Mining – Time series forecasting
- Introduction to cloud computing platforms-Data visualiSation
- Develop ML/AI apps.
Investment
to secure your future
1 Single payment
Rs 25000
2 Skill Loan
Available
Skills Covered
- Python programming
- App development based on Machine Learning and Artificial Intelligence
- Database management
- Data mining and processing
- Cloud computing
Who is this course for?
- BTech/ BE (all branches) – 5th-semester students
- BCA/ MCA – 3rd-semester students
- BSc/ MSc in Statistics/ Mathematics/ Physics/ Chemistry (3rd-semester students in the case of BSc and 1st-semester students in the case of MSc)
- BA/ MA Economics
- BCom/ MCom (3rd semester in the case of BA and BCom, and 1st semester in the case of MA and MCom)
- Professionals in the abovementioned streams (engineers and graduates) – Applicants must have studied mathematics as a subject in their graduation
Certification
Training Partners
What to expect after the course
Job Roles
Expected Salary
Key Recruiters
System Analyst
Expected Salary
- 400000 /- p.a.
Key Recruiters
- IBM
- Dell technologies
Business Analyst
Expected Salary
- 500000 /- p.a.
Key Recruiters
- Cognizant Technology Solutions
- Netflix
Machine Learning Engineer
Expected Salary
- 500000 /- p.a.
Key Recruiters
- Dell technologies
Need Assistance?
FAQs
It is the process of using quantitative methods to derive meaning from data in order to make informed business decisions.
In a Data Analytics programme, learners comprehend different tools and methods to analyse the data obtained to reach conclusions and projections.
However, in ASAPs Business Analytics programmes, the syllabus goes beyond data analysis and gives students an insight into business finance, finance & risk analytics, media & entertainment analytics, web & social media analytics, marketing models and HR analytics.
Across industries, the need for professionals who have the skills to interpret and analyse data is increasing by the day. According to a study by Microstrategy, companies are using data to boost processes and cost efficiency, drive strategy and change, and monitor and improve financial performance. The research also shows that by 2021 and beyond, 71% of global enterprises predict their investments in analytics will accelerate. In this light, an in-depth understanding of ‘Business Analytics’ can help advance careers.
Class timing 7 PM to 9 PM, Monday to Friday
You can write to us.
Be a pioneer in the IT - ITeS industry through this Business Analytics. Open up doors of opportunity into your future
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