Course Overview
This course will give you insights into how to apply data analytics principals in business. Through this course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics.
Course Outcome
After completing the course students will be able to demonstrate skill in data management, framing structured thinking, Analysing Business Problems using Statistical techniques and concepts required to understand Data Analysis
Table of Content
- Advance Excel for Data Analytics
- SQL for Data Analytics
- Data Visualisation using TABLEAU Desktop
- Python Programming for Data Analysis
- Statistics for Data Analytics & Machine Learning
Prerequisites
Familiarity with maths and statistics, have passion to develop business acumen & curious about playing with data.
Duration
Total 200 Hours of course
100 Hours of Online Theory
100 Hours of Offline Practical
Examination & Evaluation
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SEMESTER-WISE SYLLABUS BREAKUP – Adv. Diploma in Data Analytics |
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| NAME OF THE PAPER | THEORY | PRACTICAL | TOTAL | THEORY | PRACTICAL | TOTAL | TOTAL | ||||||||
| HRS | HRS | HRS | MARKS | MARKS | MARKS | CREDITS | |||||||||
| Adv. Excel for Data Analytics | 20 | 20 | 40 | 60 | 40 | 100 | 4 | ||||||||
| SQL for Data Analytics | 20 | 20 | 40 | 60 | 40 | 100 | 4 | ||||||||
| Data Visualisation using TABLEAU Desktop | 20 | 20 | 40 | 60 | 40 | 100 | 4 | ||||||||
| Python Programming for Data Analysis | 20 | 20 | 40 | 60 | 40 | 100 | 4 | ||||||||
| Statistics for Data Analystics & Machine Learning | 20 | 20 | 40 | 60 | 40 | 100 | 4 | ||||||||
| Total | 100 | 100 | 200 | 300 | 200 | 500 | 20 | ||||||||
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Pre-Placement Training Project Viva & Project work |
Project Work | Project Viva | TOTAL | TOTAL | |||||||||||
| MARKS | CREDITS | ||||||||||||||
| 60 | 40 | 100 | 4 | ||||||||||||
Certifications
- On successful completion of 1st year students will be awarded with “Certificate in Data Analytics”
- On successful completion of 2nd year students will be awarded with “Diploma in Data Analytics”
- On successful completion of 3rd year students will be awarded with “Advance Diploma in Data Analytics”
Internship
Eligible Students may be offered internship subject to business requirements
Career Options after completing the course
Students in the Data Analytics can work in a range of professions in both the private and public sectors. Career in the following job roles will open up for students who successfully complete the Adv. Diploma.
Job Roles
- Statistical analyst
- Healthcare Data Analyst
- Operations Analyst
- Data Scientist
- Data Engineer
- Quantitative Analyst
- Data Analytics Consultant
