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Certificate Course in Full Stack Data Science

Build a Data Science Career Through Advanced Analytics and Visualization Tools

Class Room Training on Data Science

This course will address the high demand of trained and certified resource on Data Science to engineer the data for Advanced Analytics and apply these techniques like segmentation, predicting and forecasting. Using advanced modeling techniques and other latest Data Science Algorithms.

This program helps a meritorious candidate to learn while applying the most advanced and industry demanding skills on real business scenarios and build his/her profile to the most needed by top industries.

A Man Working with Tools to depict that Hands-on Classes are Provided with Full Stack Data Science Course at Study Analytics
Hands-On Classes
Data Warehouse to indicate that real Industry Data will be Provided with hands-on Classes for Full Stack Data Science Course at Study Analytics
Industry Data
Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Full Stack Data Science course at study analytics
Domain Workspace
Projects with real industry usecases to indicate that live projects are done alongwith Full Stack Data Science course at Study Analytics
Live Projects
Study Materials are shared to the candidates when they take up Full Stack Data Science course at Study Analytics
Study Material Shared
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Easy Learning Pedagogy
Man thinking in Analytic Mindset to show that the learning pedagogy for Full Stack Data Science Course at Study Analytics is Easy for the Learner
Group Study
A prospective candidate is being interviewed by an Expert to show that Mock interviews are conducted as part of Full Stack Data Science Course at Study Analytics
Mock Interviews
Document is being prepared, to indicate that support for preparing an apt Curriculum Vitae in Analytics is given as part of Full Stack Data Science Course at Study Analytics
Resume Preparation

Courses Highlights

The course duration of Full Stack Data Science Course at Study Analytics

300 Hours Classroom + Home assignments and projects

  • A man working with Data Science tools to show that Assignments are given per topic with Full Stack Data Science course at Study AnalyticsAssignments: 300+  
  • A computer screen with process and outcome to indicate that projects with real business scenarios are facilitaed along with Full Stack Data Science course at Study AnalyticsProjects: 15 case studies
  • Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Full Stack Data Science course at study analytcisDomains:Multiple - Marketing, Retail, Banking, Pharma and other
  • A spanner and screw driver image to show that the teaching methodology at Study Analytics for Full Stack Data Science Course is practice based100% practice based
  • A man standing with process cycle on Data Science to indicate that internships are provided with Full Stack Data Science Course at Study AnalyticsInternship for freshers
  • A man walking out of a door succesfully to indicate that placement support is provided with Full Stack Data Science course at Study AnalyticsPlacements : 100% of Alumni Are Well Placed Upon Successful Course Completion

What do you get?

  • Fundamentals skills on Data Analysis
  • Skills on Statistical Analysis
  • Latest Machine Learning Algorithms in Data Science
  • Latest softwares and techniques in Data Science
  • State of the Art Pedagogy (Novice to a pro in 180days)
  • I n-Class Assignments (Learn while practicing)
  • Preparation for SAS Global Certification
  • Learn how to manage data quality in enterprise servers
  • Skills on data processing and business reporting methodologies
  • A true transformation from a novice to Data Scientist
Two fresh graduates new to Analytics standing hand in hand to indicate the prerequisites for taking up Full Stack Data Science course at Study Analytics


Meritorious Candidates who want to work with Data Engineering and Advanced Data Science Algorithms like Machine Learning, Deep Learning, NLP, Stochastic modeling etc. A candidate who has the aptitude towards It and Mathematics and statistics with or without business knowledge. Basic communication skill is mandatory.

Two succesful candidates wearing graduation caps after completing Full Stack Data Science Course at Study Analytics

Course Outcome

Upon successful completion of the course one could learn how to handle the various advanced techniques of Data Science includes Data Analysis, Data visualization, Data Processing, Machine learning, Deep learning and NLP etc. using the softwares like python, SAS, R, Qlikview|tableau etc.

Course Modules

Data Visualization and Reporting
  • Basic Excel Training
  • Advanced Excel Course
  • Advanced Business Dashboards Training
  • VBA and Automation Hands On Classes
  • Projects
  • Business Analysis
  • Use Case designs
  • RDBMS Concepts in Business
  • Data processing
  • Data Analysis
  • Reporting Using MySQL
  • Introduction to QlikView
  • Data Sources
  • Data Modelling
  • Designing Advanced Business Dash Boards
  • Building Dashboards
  • Security
  • Projects
  • Getting Started in Tableau
  • Data Sources
  • Data Visualizations
  • Dimensions & Measures
  • Graphs and Charts
  • Filtering and Sorting Your Data
  • Organizing Data
  • Using Groups
  • Working with Dates
  • Creating Dashboard
  • Calculations and Statistics
  • Formatting
  • Advance Chart Types
  • Creating Story Telling Business Dashboards
Statistics and Analytics : 80 Hrs
  • Basics of R Software
  • Operations
  • R Programming
  • Exploratory data Analysis
  • Functions
  • Basic Statistics
  • Graphical Plots
  • Inferential Statistics
  • Statistical Tests
  • Linear Regression
  • Logistic Regression
  • Predictive Modeling
  • Preliminaries
  • Python Basics
  • Handling Data in Python
  • Data Wrangling
  • Plotting and Visualization
  • Business Use cases
Machine Learning : 50 Hrs
  • Advanced Predictive Modeling
  • Predictive Modeling using SVM
  • Predictive Modeling using Decision Trees
  • Predictive Modeling using Random Forest
  • Time Series
  • Multivariate data mining
  • NLP: Neuro-Linguistic Programming
  • Candidates do multiple projects across domains

Hear from Our Students

Sahana M D

Coaching method at Study Analytics is real-time oriented i.e., based on real-time data sets through which we would be able to analyze the problem, faculties who taught us has a great potential to make the student find out solutions for the problem given. Conferences organized from the institute is worth attending where they invite corporate from the very well know companies and from the top level. And even the institute help us to get referred to top companies. The teaching method is very interactive and helpful in facing interviews and to solve the corporate puzzle at the time of interview.

Kishore Ramanna

The best part for me was an example-oriented explanation and application-oriented exercises. This training in Data Analytics from Study Analytics has been a catalyst in making me understand the potential of Analytics and its practical applications in making data speak for themselves. The training materials used explained the concepts in a clear and lucid manner.

Suchismit Gupta

It was a pleasant experience with Study Analytics. I'm thankful to everyone associated with Study Analytics. I appreciate the way of teaching and customised course content. I must mention the corporate exposure which they bought across helped everyone to understand more about the current scenario of analytics. Thanks a lot!

Ghanashyam Gowda
SAP Finance

The course certainly has an advantage in the work environment as analytics is booming. Materials given in the class is well designed. I want to thank the staff of Study Analytics as they are well qualified, make you understand the topics in a simple and easy manner. Really good course and institute to get in. All the best Study Analytics and thanks for giving me an opportunity.

Abhishek A
TEG Analytics

I cannot ask for a better course structure than what is provided at Study Analytics. It helps us to go in depth and understand the subject in a better manner. The faculties are highly equipped and efficient. They make sure that we do not miss out on any of the concepts. There is a lot of clarity in their teaching method.

Kalyani Rout
Sr Data Analyst, Scientific Games

The course is very well structured, having good content. I have acquired a good knowledge skill sets from the faculties. The environment is very helpful, and faculties guide very well for certification.

Saurabh Sinha
Risk Analyst, Amazon.com

It was a great session regarding banking in Study Analytics. I learned new concepts and process involved in banking. The instructor had excellent knowledge and has explained and cleared all the doubts.

Rishikesh Sharma
Credit Suisse

The course has been very useful in understanding the basics of data handling. Study materials have been very simple to understand and well structured. The course materials have helped me to know and master the very minute aspect of data analytics.
Let our experts help you customize the course for your profile


SAS Defines the role of a data scientist as “ a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. They are part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, they’re highly sought-after and well-paid.”
A data scientist should possess Text Analysis, Data Preparation, Machine Learning , Deep Learning, and Data Visualization skills. Additionally programming skills on Python, R or SAS and a solid grasp of statistics, including statistical tests and distributions are mandatory.
According to NASSCOM 2019 survey, there is 2.3 Lakhs of fresh recruits required in data science only in India but only 90k technical graduates are coming out of colleges every year who are trained enough to be placed immediately. Total 7.8 Lakhs of total workforce required in India, in which more than 70% of the current working population needs up-skilling and re-skilling in Analytics.
According to Glassdoor, data scientist is among the top 3 best jobs for work-life balance, and it has one of the highest job satisfaction rates as well! So it is pretty safe to say that in general data science is not stressful. A job becomes stressful if you are not passionate about the job.

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