Description
Course Name: Diploma in Business Analytics
Course Id: DBA/Q0001.
Education Qualification: 12th Class.
Duration: 370 Hrs (Equivalent to One Year).
Total Credits: 18.
How You will Get Diploma Certificate:
Step 1- Select your Course for Certification.
Step 2- Click on Enroll Now.
Step 3- Proceed to Enroll Now.
Step 4- Fill Your Billing Details and Proceed to Pay.
Step 5- You Will be Redirected to Payment Gateway, Pay Course and Exam Fee by Following Options.
Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.
Step 6- After Payment You will get Study Material Login id and Password on your email id.
Step 7- After Completion of Course Study give Online Examination.
Step 8- After Online Examination you will get Diploma Certificate soft copy(Scan Copy) and Hard Copy(Original With Seal and Sign).
Step 9- After Certification you will receive Prospect Job Opportunities as per your Interest Area.
Online Examination Detail:
- Duration- 120 minutes.
- No. of Questions- 60. (Multiple Choice Questions).
- 10 Questions from each module, each carry 10 marks.
- Maximum Marks- 600, Passing Marks- 40%.
- There is no negative marking in this module.
| How Students will be Graded: | ||
| S.No. | Marks | Grade |
| 1 | 91-100 | O (Outstanding) |
| 2 | 81-90 | A+ (Excellent) |
| 3 | 71-80 | A (Very Good) |
| 4 | 61-70 | B (Good) |
| 5 | 51-60 | C (Average) |
| 6 | 41-50 | P (Pass) |
| 7 | 0-40 | F (Fail) |
Benefits of Certification:
- Government Authorized Assessment Agency Certification.
- Certificate Valid for Lifetime.
- Lifetime Verification of Certificate.
- Free Job Assistance as per your Interest Area.
Syllabus
Foundations of Data Science: Introduction, the law of large numbers, application of singular value decomposition, electrical networks and random walks, generalizing to new data, frequency moments of data streams, spectral clustering applied to social networks, phase transitions for increasing properties.
Human Resource Technology and Analytics: Human resources management and technology, evolution of human resources technology, human resources information systems, selecting and implementing an HRIS, electronic human resources.
Statistics for Business Analytics: Basic statistical concepts, data measurement, introduction to business analytics, exploring the database with business analytics.
Quantitative Methods: Introduction, graphical representation, management problems in data analysis, usefulness of the measures, random sampling methods, probability concepts, application of statistical inference, extensions of analysis of variance.
Data Visualization and Communication: Computational statistics and data visualization, statistical historiography, scientific design choices in data visualization, data and graphs, graph layout techniques, geometric graphs, examples of existing glyphs, visualization techniques for linked views.
Marketing Analytics and Retail Analytics: Playing the retail game, retailing in India, retail marketing mix, changes in the landscape of retail marketing, retail store formats, store layout, catman strategies.
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