Job Assurance
Our program comes with a job assurance that offers you a chance to be placed at over 500 top-tier partner organisations hiring machine learning and artificial intelligence professionals.
Postgraduate Program In Data Science And Analytics
Build Your Data Science and Analytics Career with Our 100% Job Assurance Program
Data Science Training Masters program, created by industry experts, provides learners with an in-depth knowledge of data science principles and practices. Through extensive coursework and hands-on projects, participants will gain practical experience designing and implementing machine learning models, analyzing data with Python and making data-driven decisions.
- Classroom & Live Online Training
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Join The Best Data Science And Analytics Course
Learn the real-world application of data science and build analytical models that enhance business outcomes. This job-assurance program is ideal for recent graduates and professionals who want to develop a successful data science and analytics career. You will gain practical knowledge about the implications of data science and analytics in real-world businesses and prepare to work as a data science professional in an emerging field of data science and analytics.
Dedicated Career Services
Our career services include resume development, profile enhancement, career mentorship, job assurance workshops and one-on-one career counselling to ensure you land the right job.
Real-world Projects
Implement what you’ve learned with over 25 real-world projects and case studies specially formulated by industry experts to make you job-ready.
Job-specific Curriculum
Learn the practical applications of data science, Python, SQL, data analytics, power BI, and tableau while gaining expertise in these subjects.
Live Learning Module
Our expert faculty delivers our robust curriculum using an interactive module and hands-on training methods to prepare you to work in various data science roles.
KPMG India COE Organised Hackathons
Make your resume stand out by participating in coding hackathons to tackle complex business problems and get an opportunity to compete in a national-level competition.
About the Program
This Advanced program offers 10 courses and 30 industry-based projects with 1 capstone project. As a part of the training, you will receive five additional self-paced courses co-created with IBM. Additionally, you will also get exclusive access to IBM Watson Cloud Lab for Chatbots course.
Key Highlights
- 232 Hrs Instructor-led Training
- 253 Hrs Projects and Exercises
- Flexible Schedule
- Mentor Support
- PLA Credits from Belhaven University
- 104 Hrs Self-paced Videos
- Job Assistance
- Lifetime Free Upgrade
- One-on-one with Industry Mentors
Advanced Program in Data Science Course Curriculum
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Module 01 – Introduction to Data Science using Python
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Module 02 – Python basic constructs
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Module 03 – Maths for DS-Statistics & Probability
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Module 04 – OOPs in Python (Self-paced)
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Module 05 – NumPy for mathematical computing
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Module 06 – SciPy for scientific computing
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Module 07 – Data manipulation
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Module 08 – Data visualization with Matplotlib
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Module 09 – Machine Learning using Python
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Module 10 – Supervised learning
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Module 11 – Unsupervised Learning
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Module 12 – Python integration with Spark (Self-paced)
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Module 13 – Dimensionality Reduction
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Module 14 – Time Series Forecasting
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Module 01 – Introduction to Machine Learning
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Module 02 – Supervised Learning and Linear Regression
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Module 03 – Classification and Logistic Regression
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Module 04 – Decision Tree and Random Forest
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Module 05 – Naïve Bayes and Support Vector Machine (self-paced)
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Module 06 – Unsupervised Learning
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Module 07 – Natural Language Processing and Text Mining (self-paced)
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Module 08 – Introduction to Deep Learning
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Module 09 – Time Series Analysis (Self-paced)
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Module 01 – Introduction to Deep Learning and Neural Networks
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Module 02 – Multi-layered Neural Networks
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Module 03 – Artificial Neural Networks and Various Methods
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Module 04 – Deep Learning Libraries
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Module 05 – Keras API
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Module 06 – TFLearn API for TensorFlow
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Module 07 – DNNs (deep neural networks)
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Module 08 – CNNs (convolutional neural networks)
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Module 09 – RNNs (recurrent neural networks)
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Module 10 – Gpu in deep learning
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Module 11 – Autoencoders and Restricted Boltzmann Machine (RBM)
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Module 12 – Deep learning applications
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Module 13 – Chatbots
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Module 01 – Introduction to Power BI
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Module 02 – Data Extraction
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Module 03 – Data Transformation – Shaping & Combining Data
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Module 04 – Data Modelling & DAX
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Module 05 – Data Visualization with analytics
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Module 06 – Power BI Service (Cloud), Q&A, and Data Insights
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Module 07 – Power BI Settings, Administration & Direct Connectivity
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Module 08 – Embedded Power BI with API & Power BI
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Module 09 – Power BI Advance & Power BI Premium
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Module 01 – Introduction to NoSQL and MongoDB
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Module 02 – MongoDB Installation
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Module 03 – Importance of NoSQL
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Module 04 – CRUD Operations
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Module 05 – Data Modeling and Schema Design
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Module 06 – Data Management and Administration
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Module 07 – Data Indexing and Aggregation
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Module 08 – MongoDB Security
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Module 09 – Working with Unstructured Data
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Module 01 – Introduction to SQL
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Module 02 – Database Normalization and Entity-Relationship Model
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Module 03 – SQL Operators
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Module 04 – Working with SQL: Join, Tables, and Variables
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Module 05 – Deep Dive into SQL Functions
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Module 06 – Working with Subqueries
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Module 07 – SQL Views, Functions, and Stored Procedures
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Module 08 – Deep Dive into User-defined Functions
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Module 09 – SQL Optimization and Performance
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Module 10 – Advanced Topics
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Module 11 – Managing Database Concurrency
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Module 12 – Programming Databases Using Transact-SQL
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Module 13 – Microsoft Courses: Study Material
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Module 01 – Introduction to Data Science with R
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Module 02 – Data Exploration
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Module 03 – Data Manipulation
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Module 04 – Data Visualization
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Module 05 – Introduction to Statistics
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Module 06 – Machine Learning
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Module 07 – Logistic Regression
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Module 08 – Decision Trees and Random Forest
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Module 09 – Unsupervised Learning
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Module 10 – Association Rule Mining and Recommendation Engines
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Module 11 – Introduction to Artificial Intelligence
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Module 12 – Time Series Analysis
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Module 13 – Support Vector Machine (SVM)
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Module 14 – Naïve Bayes
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Module 15 – Text Mining
Tools to Master
Interested in This Program? Secure your spot now.
The application is free and takes only 5 minutes to complete.
What Can I Become?
Data Scientist
Data Analyst
Business Analyst
Business Intelligence Specialist
Business Analytics Professional
Analytics Manager
Data Science Consultant
Machine Learning Engineer
Data Science Consultant : A data science consultant assists businesses in performing analyses and calculations that draw insights from gathered data.
Learning Journey
Languages and Tools Covered
Weekdays Problem Solving Sessions
Get Problem solving sessions from Industry experts on weekdays
Solve problems on hackerrank and hackerearth to improve your problem solving capability.
Learn new problem solving tips and tricks everyday.
Get personalized doubt sessions, if required anytime.
Interested in This Program? Secure your spot now.
The application is free and takes only 5 minutes to complete.
Alumni Highlights
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200+Global Companies
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$122K PAAverage CTC
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$250K PAHighest CTC
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87%Average Salary Hike
Our Alumni Works At
Frequently Asked Questions
Upon completion of the Data Science and Artificial Intelligence training course and execution of the various projects in this program, you will receive a joint Advanced Certification in Data Science and Machine Learning from Data Analyst Learning.
Data Analyst Learning provides career services that include placement assistance for all the learners enrolled in this course..
The Advanced Certification in Data Science and AI course is conducted by leading experts from and Data Analyst Learning who will make you proficient in these fields through online video lectures and projects. They will help you gain in-depth knowledge in Artificial Intelligence and Data Science, apart from providing hands-on experience in these domains through real-time projects.
After completing the course and successfully executing the assignments and projects, you will gain an Advanced Certification in Data Science and Machine Learning from Data Analyst Learning and iHub, which will be recognized by top organizations around the world. Also, our job assistance team will prepare you for your job interview by conducting several mock interviews, preparing your resume, and more.
If you fail to attend any of the live lectures, you will get a copy of the recorded session in the next 12 hours. Moreover, if you have any other queries, you can get in touch with our course advisors or post them to our community.
There will be a two-day campus immersion module at iHub during which learners will visit the campus. You will learn from the faculty as well as interact with your peers. The cost of travel and accommodation will be borne by the learners. However, the campus immersion module is optional.
To be eligible for getting into the placement pool, the learner has to complete the course along with the submission of all projects and assignments. After this, he/she has to clear the Placement Readiness Test (PRT) to get into the placement pool and get access to our job portal as well as the career mentoring sessions.
You will undergo below sessions:
- Job Search Strategy Sessions
- Resume Building
- Linkedin Profile Creation
- Interview Preparation Sessions by Industry Experts
- Mock Interviews
- Placement opportunities with 400+ hiring partners upon clearing the Placement Readiness Test.
Yes, you can upgrade to Executive Post Graduate Certificate in Data Science and AI from Advanced Certification in Data Science and AI. However, you have to reach out to support team within 2 months from your date of enrollment.
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 support@dataanalystlearning.com 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.
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