SQL the first skill to learn under
this course
"Masters in Data Science"

SQL for Data Analytics

What is SQL?
SQL (Structured Query Language) is the primary language responsible for managing data held in a relational database management system (RDBMS). Simply put, SQL is the language you use to interact with a database.

Who should learn SQL ?
Product Managers, Data Analysts, Data Scientists, Data Engineers,
Backend Developers, Frontend developers, Mobile App Developers, Marketers

Course Highlights:

•  34 hrs of Hands-on training on Oracle-11g/12c/18c/19c and MySQL


•  Many e-books : Theory, Practical Try-outs, 7 Oracle SQL Mock test papers


•  Complete software support on db.suvenconsultants.com


•  SQL Assessment on hackerrank.com


•  Complete teaching from Basics to Advanced with 100% Pracs




Fee (only for) SQL Training _if taken individually_ : INR 10000/- + gst

Statistics is the Second skill to learn under
this course
"Masters in Data Science"

Statistics for Data Science and BI using Excel and Tableau

Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data.

For example, data analysis requires descriptive statistics and probability theory, at a minimum. These concepts will help you make better business decisions from data.

Key concepts include probability distributions, statistical significance, hypothesis testing, and regression.

Course Highlights:

•  Complete know-how of Statistical concepts with applications.


•  Implementation of Statistical concepts through Excel


•  Data visualization through Tableau


•  Two Excel-data Analysis projects to be submitted as part of the term-work for course completion


•  Any participant post this course module can easily understand real-time data.




Fee (only for) Statistics and BI _if taken individually_: INR 10000/- + gst

Data Analysis is the third skill to learn under
this course
"Masters in Data Science"

Data Analytics for better Business

What Makes Data Analytics most important in 2021 ?
1) Data Analytics gives you information for business continuity and longevity.
2) Helps better understand existing customers mindset and new business usecases.
3) Extracting , Cleaning , Exploring , Mining data are 4 major coding blocks of this subject.

Course Highlights:

•  60 hrs of hands-on training on weekdays and week-ends


•  One month of internship on semi-live datasets


•  Participate in Kaggle Data Analytics competition, with the subject trainer as mentor.


•  Post the course a participant can easily analyze real-time datasets and crack interviews for junior data Analyst positions.




Fee (only for) Data Analytics _if taken individually_: INR 10000/- + gst

Python Programming is the fourth skill to learn under
this course
"Masters in Data Science"

Python Programming (Core + Advanced)

Python is a general purpose programming language. Created nearly 30 years ago, it is now one of the most popular language according to the Stackoverflow rankings. Its popularity is particularly important in the data science and machine learning fields. But it is also a language easy to learn, this explains why it has become the language the most taught in universities.

What is python used for ?

1. Data Science and Visualization using Numpy, Pandas and Seaborn
2. Machine learning with Tensorflow and Scikit-learn
3. Desktop applications with PyQt, Gtk, wxWidgets and many more
4. Web Development, using the frameworks Django, Flask, Pylons

Course Highlights:

•  60 hrs live-instructor led training covering 3 major sections plus mandatory Internship.


•  Covers 3 Major Sections : Core Concepts, Business Task Automation, Advanced Concepts.


•  Each participant has do a 2 weeks of Internship on problem statements submitted by IT professionals working at Morgan Stanley, Accenture and NeoSoft.




Fee (only for) Python Programming _if taken individually_: INR 20000/- + gst

Machine Learning is the fifth skill to learn under
this course
"Masters in Data Science"

Machine Learning

Machine Learning is an application of Artificial Intelligence. It allows software applications to become accurate in predicting outcomes. It helps in making data-driven decisions at scale for businesses.

Machine Learning is heavily being used in Healthcare, Finance, Real Estate and Electronics (specifically Personal Device Market).

Course Highlights:

•  60 hrs of hands-on training covering all Math Concepts & Algorithms in ML


•  Covering Python for Data Science - Numpy, Pandas, Matplotlib and Scikit-learn Solving simple case studies


•  Being ready for "Advanced Machine learning" course


•  Learning via problem solving approach in Finance, Health Care and other sectors.




Fee (only for) Machine Learning _if taken individually_: INR 10000/- + gst

Advance Machine Learning is the last skill to learn for
completing this course
"Masters in Data Science"

Advance Machine Learning

After completing the fundamentals of Machine learning in the previous course, this course would take you deeper and boarder into Machine learning.

This course module is designed to teach through projects focusing on
NLP (Natural Language processing), Text processing, Text classification, Text analytics and Sentiment Analysis. Machine learning and Deep learning(RNN & LSTM) algorithms are well understood and applied through out the course.

Course Highlights:

•  Overall coverage of NLP Libraries and understanding its key applications.


•  Solve 10 real time case studies using raw (unclean) data.


•  Understanding RNN & LSTM to solve NLP problems.


•  Clear understanding of all Types of Neural Networks and its applications.


•  Performing Text Analytics and Sentiment analysis on real time data.


•  Working on at-least one Capstone project with real datasets.


•  *Participating in Kaggle competitions under the mentor-ship of the subject trainer.




Fee (only for) Advanced ML _if taken individually_: INR 30000/- + gst




Learners get a ML Intermidate Course worth Rs 10000 free with this Module.