1. What is this Dual Degree Program?

The Dual Degree Program offers 2 courses (MCA Data Analytics + Data Science Course). You get a course completion certificate from Jain University (Deemed to be) and also from Henry Harvin®

2. What is the scope of MCA Data Analytics + Data Science Course?

This program (MCA Data Analytics + Data Science) clubbed together is in high demand and has a good job scope in today's developing world. One of the reasons is that the aspirants can be considered professionals after the completion because of the course content, thus making them capable of having a good job scope and skills.

3. What are the career opportunities with this course?

Any student pursuing this course can get placed in the role of Data Scientist, Data Analyst, Data Engineer, Data Architect, Data Storyteller, Machine Learning Scientist, Machine Learning Engineer, Business Intelligence Developer, Database Administrator, Technology Specialized Roles and more.

4. Is Henry Harvin® Degree Course Academy an accredited training provider?

Yes, Henry Harvin®Degree Course Academy is a Gold Learning Partner of Jain (Deemed-to-be University).

5. Are the course curriculum made with industry standard?

Yes, the course is designed to ensure that the students have access to all the key information they need to create promising career paths.

Dual Degree MCA Data Analytics with Data Science- Henry Harvin®

Q: 4. Is Henry Harvin® Degree Course Academy an accredited training provider?

Yes, Henry Harvin&reg;Degree Course Academy is a Gold Learning Partner of Jain (Deemed-to-be University).

Module 1: Semester I
- Mathematical Foundation for Computer Application
- Operating System and Unix Shell Programming
- Data Communication and Computer Networks
- Data Structures with Algorithms
- Computer Organisation and Architecture
Module 2: Semester II
- Relational Database Management System
- Design and Analysis of Algorithms
- R Programming
- Python Programming
- Structured Query Language
Module 3: Semester III
- Application Development using Python
- Advanced Web Technologies
- Machine Learning
- Natural Language Processing
- Internet of Things
- Open Elective Course
Module 4: Semester IV
- Big Data - Hadoop
- Artificial Intelligence
- Deep Learning
- Computer Vision
- Cross-Functional Elective Course
- Project
Module 5: Introduction to Data Science
- Understanding Data Science
- Data Analysis in Excel
- Analytics Problem Solving
Module 6: Introduction to python Exploratory
- Data Tool-Kit Data Analysis using SQL
- Introduction to Python Exploratory
- Data Analysis Inferential Statistics Hypothesis Testing
Module 7: Getting And Cleaning Data
- Components of complete Data Set - Raw data, codebooks
- How to collect, clean and share data
Module 8: Exploratory Data Analysis, Research, and Statistical Inference
- Understanding multivariate statistical techniques
- Know various plotting systems in different programming languages
- Learn different statistical analysis tools
- How to publish Data Analysis
- How to take informed and accurate decisions
Module 9: Regression Models and Practical Machine Learning
- Model selection and novel uses of regression models
- Building prediction functions — Data collection, feature creation
- How to apply Algorithms and learning how to do evaluation

Know the complete offerings of our Dual Degree in MCA Data Analytics + Data Science