Intellipaat Data Science Architect Master’s Course

Add your review

Add to wishlistAdded to wishlistRemoved from wishlist 2
Add to compare

Intellipaat Data Science Architect Master’s Download Course Brochure

Look at Intellipaat’s YouTube videos before enrolling for this course.

Specification: Intellipaat Data Science Architect Master’s Course





Difficulty Level


Free Trial (in days)


Duration (in months)

What will you learn?

, , , , , , , , , , , , ,

Suggested hours/week

Programming Language Used



, , , , , , , ,


1. Data Science with R –
Introduction to Data Science with R, Data Exploration, Data Manipulation, Data Visualization, Introduction to Statistics, Machine Learning, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Introduction to Artificial Intelligence (self paced), Time Series Analysis (self paced), Support Vector Machine – (SVM) (self paced), Naïve Bayes (self paced), Text Mining (self paced), Case Study.

2. Python for Data Science –
Introduction to Data Science, Introduction to Python, Python basic constructs, OOPs in Python, NumPy for mathematical computing, SciPy for scientific computing, Data manipulation, Data visualization with Matplotlib, Machine Learning using Python, Supervised learning, Unsupervised Learning, Python integration with Spark- (selfpaced)

3. Machine Learning Course
Introduction to Machine Learning, Supervised Learning and Linear Regression, Classification and Logistic Regression, Decision Tree and Random Forest, Naïve Bayes and Support Vector Machine (self paced), Unsupervised Learning, Natural Language Processing and Text Mining (self paced), Introduction to Deep Learning, Time Series Analysis (Self-paced).

4. AI and Deep Learning
Introduction to Deep Learning & Neural Networks, Multi-layered Neural Networks, Artificial Neural Networks and Various Methods, Deep learning libraries, Keras API, TFLearn API for TensorFLow, DNN: Deep Neural Networks, CNN: Convolutional Neural Networks, RNN: Recurrent Neural Networks, GPU in Deep Learning, Autoencoders & Restricted Boltzmann
Machine (RBM), Deep Learning applications, Chatbots, Time Series Analysis (Self-Paced).

5. Tableau Desktop 10
Introduction to Data Visualization and Power of Tableau, Architecture of Tableau, Working with Metadata & Data Blending, Creation of sets, Working with Filters, Organizing Data and Visual Analytics, Working with Mapping, Working with Calculations & Expressions, Working with Parameters, Charts and Graphs, Dashboards and Stories, TableauPrep, Integration of Tableau with R and Hadoop.

6. Data Science with SAS
Introduction to SAS, SAS Enterprise Guide, SAS Operators & Functions, Compilation & Execution, Using Variables, Creation and Compilation of SAS
Data sets, SAS Procedures, Input statement and formatted input, SAS FORMAT, SAS Graphs, Interactive Data Processing, Data Transformation Function, Output Delivery System (ODS), SAS MACROS, PROC SQL, Advanced Base SAS, Summarization Reports.

7. Self-Paced Courses
Statistics & Probability, Advance Excel, MongoDB, MS SQL,Machine Learning, Hadoop Developer

8. Project Works

Upon completion

University credits

Graded quizzes & assignments

Capstone Project



Videos: Intellipaat Data Science Architect Master’s Course

Photos: Intellipaat Data Science Architect Master’s Course

User Reviews

0.0 out of 5
Write a review

There are no reviews yet.

Be the first to review “Intellipaat Data Science Architect Master’s Course”

Your email address will not be published. Required fields are marked *

Expert Score 6
Course Content
Learning Experience
Course Price
  • They have some very good faculty. And if you are stuck with a trainer who is not good for you, then you can reach out to Intellipaat support and they resolve the issue ASAP.
  • Unstructured trainings with very average tutors and no back up plans in case teacher is not available.
  • Self paced course:
  • Most of their videos what they call Self-Paced video are available on You-Tube so there no value addition in that.
  • None of the Self-paced course covers depth and width of the subject.
  • They won’t give you recordings of previously conducted live session in self paced course. They will provide 4–5 years old monotonous recordings.
  • Live classes :
  • Many Trainer change with just 1 month of course commencement.
  • To make some blank days, they will simply skip the topics.
  • No sync between practice and Training session.
Intellipaat Data Science Architect Master’s Course
Intellipaat Data Science Architect Master’s Course
Register New Account
Reset Password
Compare items
  • Total (0)