Brochure
Enquire- Basics of Maths/Computer Programming
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- Introduction to R
- Introduction to Python (Basic Python, data science-related libraries, like NumPy, Scikit etc.
Masters in Data Science Engineering
BY
Careerera
Learn about reporting techniques, data visualization, programming skills in R, Python and Tableau with a Masters in ...Read more
Full time, Online
12 Months
₹ 179000
Quick Facts
| particular | details | ||||
|---|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
+1 more
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Mode of Delivery
Video and Text Based
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Frequency of Classes
Weekends
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Course overview
Companies are increasingly using Data Science to provide value to all aspects of their operations. This has resulted in a huge need for Data Scientists and specialists, and this high demand for Data Scientists and has resulted in a plethora of well-paying career opportunities for Data Scientists. The Masters in Data Science Engineering online course helps students to understand the study of data, including where the information originates from, what it means, and how it can be used as a resource in the development of business and IT strategy.
Masters in Data Science Engineering training assists candidates in being aware of current market possibilities and increasing their competitive advantage. The area of data science utilizes mathematics, numbers, and computer science rules, as well as techniques such as cluster analysis, machine learning, data visualization, and data mining.
The Masters in Data Science Engineering syllabus provides a comprehensive study of key concepts and techniques ranging from R to Python to Machine Learning and beyond. Assignment work and practical laboratories bring these concepts to life with the help of expert teachers and assistants to guide candidates along the way.
The highlights
- 12 Months duration
- Industrial Projects
- Course Completion Certificate
- Industry Based Trainers
- Job Assistance
- Multiple Simulation Exams
- Student Handouts
- Live Online classes
Program offerings
- Online learning
- Assignments
- Examinations
- Surprise tests
- Videos
- Capstone projects
- Mock papers
- Notes
Course and certificate fees
Fees information
₹ 179,000
Masters in Data Science Engineering Fee Details
| Heads | Amount in INR |
| Course fee | 1,79,000 |
certificate availability
Yes
certificate providing authority
Careerera
Who it is for
The Masters in Data Science Engineering course will be beneficial for Software and IT Managers, Engineers, Managers, Marketing and Sales representatives.
Eligibility criteria
- Basic understanding of Data Science
- Bachelor’s Degree
Certification Qualifying Details
- To qualify for the Masters in Data Science Engineering certification, candidates pass an exam conducted by Careerera at the end of the course.
What you will learn
Data science knowledge
Knowledge of python
Tableau knowledge
After completing the Masters in Data Science Engineering certification course, students will learn about data visualization and Reporting techniques, Programming skills in R, Python, Tableau, and SQL, exploration Communication, and Data mining for knowledge discovery and diverse tools of Big Data Hadoop.
The syllabus
Introduction to Data Science
Basics of Data management
- Introduction to SQL/DataBase (RDBMS, Oracle, MySQL, etc.)
- Introduction to Big Data (Introduction to NoSQL/Spark/Hadoop/Exadata etc.)
- Data Mining
- Visualisation (tableau, powerBI etc.)
- Advanced statistics
Machine Learning
- Machine Learning Algorithm Overview
- Supervised Learning Algorithms
- Regression: Polynomial
- Classification: Binary
- Classification: KNN
- Classification: Multiclass
- Classification: SVM
- Classification: Decision Trees
- Classification: Random Forest
- Concepts: Gradient Descent, Train_Test_Split, K Fold Cross Validation, Feature selection, Feature Scaling etc.
- Concepts: Overfitting, Confusion Matrix, ROC curve, etc.
- Classification: Neural Networks
- Unsupervised Learning
- KMA/Clustering
- Recommendation Engine/Movie Ratings etc.
- Reinforcement Learning
- Capstone Project
- ML Hackathon
Deep Learning
- Building blocks
- Advanced Python Libraries (Tensorflow)
- Data Science on Cloud (Google Colab, Microsoft Azure ML Studio)
- NLP
- Basics of NLP, cosine algorithm, etc.
- Chatbot
- Image/Video Processing
- CNN, RCNN, Faster-RCNN, Yolo
- Face Recognition
- Object Recognition
- Hackathon
Industry-specific Case studies
- Time Series Forecasting
- Web & Social Media Analytics (Industry Case study)
- Finance & Risk Analytics (Industry Case study)
- Market & Retail Analytics (Industry Case study)
- Supply Chain & Logistics Analytics (Industry Case study)
Capstone project
Group Presentation
Teaching & Assessment Methodology
- 50:50 on Theory/Lab. As for every 4 hours block, 2 hours would be theory + 2-hour lab/hands-on
- Home Assignments
- MCQ quizzes as part of Theory part
- Two hackathons of 8 hours each
- For each Algorithm, coaching flow would be as under:
- 1. Related Mathematics
- 2. Concept/Algorithm
- 3. Intro to Python or R library, and actual implementation
Admission details
To get admission to the Masters in Data Science Engineering online certification course by Careerera, follow the steps mentioned below:
Step 1. To access the Careerera portal, follow the link below: (https://www.careerera.com/data-science/masters-in-data-science-engineering)
Step 2. Candidates can pick their batch by choosing the "Upcoming batches" option.
Step 3. To start the registration process, click the 'Enroll Now' button.
Step 4. Enter the information required and submit the papers needed.
Step 5. Pay the program cost and begin training on the specified day.
How it helps
Candidates pursuing Masters in Data Science Engineering course from Careerera will be benefited in the following ways:
- Learn to assemble and evaluate a vast amount of data or figures
- Gain data science knowledge for using data-driven approaches to solve business problems.
- Learn to Inform business and IT leaders of the outcome by identifying trends, patterns, and relationships in data.
- Gain expertise in creating compelling visuals from data.
FAQs
Which course provider offers the Masters in Data Science Engineering online training?
Careerera offers the Masters in Data Science Engineering online training.
What is the total duration of the Masters in Data Science Engineering course?
The total duration of the Masters in Data Science Engineering course is 12 months.
Is there any exam for Masters in Data Science Engineering certification?
Yes, Learners will have to pass an exam for Masters in Data Science Engineering certification from Careerera.
Can I change my Masters in Data Science Engineering online course batch?
Yes, candidates can change their Masters in Data Science Engineering online course batch according to their availability.
What are the career scopes after completing the Masters in Data Science Engineering training?
There are plenty of career scopes such as Engineers, Managers, Sales and Marketing professionals, IT professionals after the completion of Masters in Data Science Engineering training.
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