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The online Advanced program in Data Science offered by Intellipaat lets you gain proficiency in data science. You will work on real-world projects in data science with R, hadoop dev, admin, test and analysis, apache spark, scala, deep learning, SQL, mongoDB, and more. Upon successfully completing the program, you will be awarded PLA credits by Belhaven University that can be applied to Belhaven University degree programs.
Learning Format
Online
Duration
7 Months
Career Services
by Intellipaat
12 PLA Credits from
Belhaven University
EMI Starts
at ₹8,000/month*
3109
1493
24542
This Advanced program in Data Science is curated by the top industry experts for the learners to upskill in Data Science. This course offers 10 courses, 30 industry-based projects with 1 capstone project, and five additional self-paced courses.
About Belhaven University
Belhaven University is known for its nationally recognized academics, top-rated faculty, and affordability. Belhaven strives for excellence in higher education and has a rich heritage of prominence in education dating back to 1883. Every student is encouraged to develop and grow to the best of their potential.
Key achievements of Belhaven University:
Upon the completion of this program, you will:
55% Average Salary Hike
45 LPA The Highest Salary
12000+ Career Transitions
400+ Hiring Partners
Career Transition Handbook
*Past record is no guarantee of future job prospects
Develop high-quality applications, apart from designing and implementing scalable code.
Investigate reported problems in the quality of data and come up with solutions to fix them.
Deploy models in SageMaker and use Lambda functions and API Gateway to integrate machine learning models in web applications.
Understand the data, data cleansing, data transformation, analyze outcomes, and present the result in the form of reports and dashboards.
Use advanced statistical techniques and tools to understand operating behavior and create algorithms with advanced prescriptive and descriptive methods.
Design and develop various Machine Learning models to help in deriving intelligence for the business products.
Skills to Master
Data Science with R
Python for Data Science
Machine Learning
Artificial Intelligence
Hadoop
Spark
Data Blending
Advanced Excel
MongoDB
T-SQL
Database objects
MS-SQL
Tools to Master
Nishkam Shivam is a senior data scientist in analytics and AI at Bristlecone. He has more than nine years of experience in this field and has also worked in renowned companies like Accenture, Walmart, Emeritus, and many more.
He has over 15 years of expertise handling various analytics projects, using several ML algorithms in multiple business domains. He has extensive knowledge of SAS, SQL, R, and Python and is proficient in big data environments.
Vinodhini is a guest faculty at IIM, Bangalore. With over 13+ years of subject matter expertise in Data Analytics, she specializes in Natural Language Processing and Social Media Analytics. She is also a visiting faculty at IIM-Lucknow and other premier institutes.
Module 01 – Introduction to Data Science using Python
Module 02 – Python basic constructs
Module 03 – Maths for DS-Statistics & Probability
Module 04 – OOPs in Python (Self-paced)
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Data manipulation
Module 08 – Data visualization with Matplotlib
Module 09 – Machine Learning using Python
Module 10 – Supervised learning
Module 11 – Unsupervised Learning
Module 12 – Python integration with Spark (Self-paced)
Module 13 – Dimensionality Reduction
Module 14 – Time Series Forecasting
Module 01 – Introduction to Machine Learning
Module 02 – Supervised Learning and Linear Regression
Module 03 – Classification and Logistic Regression
Module 04 – Decision Tree and Random Forest
Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
Module 06 – Unsupervised Learning
Module 07 – Natural Language Processing and Text Mining (self-paced)
Module 08 – Introduction to Deep Learning
Module 09 – Time Series Analysis (Self-paced)
Module 01 – Introduction to Deep Learning and Neural Networks
Module 02 – Multi-layered Neural Networks
Module 03 – Artificial Neural Networks and Various Methods
Module 04 – Deep Learning Libraries
Module 05 – Keras API
Module 06 – TFLearn API for TensorFlow
Module 07 – DNNs (deep neural networks)
Module 08 – CNNs (convolutional neural networks)
Module 09 – RNNs (recurrent neural networks)
Module 10 – Gpu in deep learning
Module 11 – Autoencoders and Restricted Boltzmann Machine (RBM)
Module 12 – Deep learning applications
Module 13 – Chatbots
Module 01 – Introduction to Power BI
Module 02 – Data Extraction
Module 03 – Data Transformation – Shaping & Combining Data
Module 04 – Data Modelling & DAX
Module 05 – Data Visualization with analytics
Module 06 – Power BI Service (Cloud), Q&A, and Data Insights
Module 07 – Power BI Settings, Administration & Direct Connectivity
Module 08 – Embedded Power BI with API & Power BI
Module 09 – Power BI Advance & Power BI Premium
Module 01 – Introduction to NoSQL and MongoDB
Module 02 – MongoDB Installation
Module 03 – Importance of NoSQL
Module 04 – CRUD Operations
Module 05 – Data Modeling and Schema Design
Module 06 – Data Management and Administration
Module 07 – Data Indexing and Aggregation
Module 08 – MongoDB Security
Module 09 – Working with Unstructured Data
Module 01 – Introduction to SQL
Module 02 – Database Normalization and Entity-Relationship Model
Module 03 – SQL Operators
Module 04 – Working with SQL: Join, Tables, and Variables
Module 05 – Deep Dive into SQL Functions
Module 06 – Working with Subqueries
Module 07 – SQL Views, Functions, and Stored Procedures
Module 08 – Deep Dive into User-defined Functions
Module 09 – SQL Optimization and Performance
Module 10 – Advanced Topics
Module 11 – Managing Database Concurrency
Module 12 – Programming Databases Using Transact-SQL
Module 13 – Microsoft Courses: Study Material
Module 01 – Introduction to Data Science with R
Module 02 – Data Exploration
Module 03 – Data Manipulation
Module 04 – Data Visualization
Module 05 – Introduction to Statistics
Module 06 – Machine Learning
Module 07 – Logistic Regression
Module 08 – Decision Trees and Random Forest
Module 09 – Unsupervised Learning
Module 10 – Association Rule Mining and Recommendation Engines
Self-paced Course Content
Module 11 – Introduction to Artificial Intelligence
Module 12 – Time Series Analysis
Module 13 – Support Vector Machine (SVM)
Module 14 – Naïve Bayes
Module 15 – Text Mining
Projects will be a part of your Data Science Advanced program to consolidate your learning. It will ensure that you have real-world experience in data science.
Practice 20+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
EMI Starts at
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs
Financing Partners
| Date | Time | Batch Type | |
|---|---|---|---|
| Regular Classes | 10th Dec 2024 | 07:00 AM IST | Weekday (Tue-Fri) |
Our Data Science online Advanced program will give you hands-on experience in mastering the domain. You will master various courses like data science with R, machine learning, AI and deep learning, big data hadoop and spark, and more. After completing the program, you will receive PLA Credits from Belhaven University.
You will get the opportunity to work on several real-time projects and assignments that have high relevance in the corporate world. Upon completion of the course, you will be capable of applying for some of the top-paying jobs around the world.
Sign up for the Data Science Advanced program by Belhaven University. After successfully completing the course, projects, and assignments, you will receive your Advanced certification.
We have both live sessions and self-paced videos. Our Learning Management System (LMS) provides a customized learning experience. The online classroom training program includes one-on-one doubt-clearing sessions as well.
To get more information about this Advanced program in Data Science, you can directly contact our course advisors. They provide all kinds of assistance related to the course.
Belhaven University PLA Credits Assessed for this course is 12.
*Note, there is a maximum number of PLA credits that may be applied toward a degree program. Refer to the Belhaven University website for the latest on PLA policies.
Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.
Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.
Yes, Intellipaat certification is highly recognized in the industry. Our alumni work in more than 10,000 corporations and startups, which is a testament that our programs are industry-aligned and well-recognized. Additionally, the Intellipaat program is in partnership with the National Skill Development Corporation (NSDC), which further validates its credibility. Learners will get an NSDC certificate along with Intellipaat certificate for the programs they enroll in.
What is included in this course?
