Post Graduate Program In Data Science, Kolkata
Ranked No.1 Data Science Program by Economic Times
Supercharge your career with this high-powered Professional Certificate Program in Data Science in Kolkata. This program, conducted in collaboration with Purdue University and IBM, effectively fuses theory, hands-on practice, and case studies. Earn your Data Science certification in Kolkata now.
- Next Cohort starts 4 Jan, 2024
- Program Duration 11 months
- Learning Format Online Bootcamp
World’s #1 Online Bootcamp
Why Join this Program
Purdue’s Academic Excellence
Data Science certificate from Purdue, the 8th most innovative university in the US.
Gain Generative AI Mastery
Dedicated course on Generative AI, Prompt Engineering, ChatGPT and more
IBM’s Industry Prowess
Obtain certificates for IBM courses and get access to masterclasses by IBM
Hands-on Experience
Acquire practical experience through 25+ hands-on projects and 20+ tools with integrated labs
Fast-track Your Career
After completing the course, Simplilearn learners have made successful career transitions, boosted career growth, and got salary hikes.
Learner’s achievements
Maximum salary hike
150%Average salary hike
70%Hiring partners
2900+Our Alumni In Top Companies
Career Growth Stories
I had a career gap of around 2 years, making it difficult to get a job. After completing Simplilearn’s Post Graduate Program in Data Science, I not only secured a job but was also offered a 50% salary hike. Completing this course has helped me fast-track my career in my field of interest and lifted my confidence.
- Anand JhaAssistant ManagerBusiness Consultant
Utkarsh Gupta
FresherAssociate AnalystShamanth Kumar
Assistant Manager-Data AnalysisManager - Analytics and InsightsEkta Sarogi
Senior Engineering LeadTechnical Account ManagerJayapal Sadasivan
Machine Learning EngineerData Science EngineerSanjog Dalvi
FresherAssociate AnalystPrasanna Prem
Tableau DeveloperBusiness Intelligence AnalystShyam Unnithan
GM - Sales Finance SystemsGM - Enterprise Data Management
Post Graduation in Data Science Overview
The Professional Certificate Program in Data Science teaches you the right tools and techniques, from Python to Machine Learning, and more. The Data Science certification program in Kolkata provides hands-on labs and projects, bringing the teaching to life. Expert instructors from IBM and Purdue University teach and advise students in this Data Science certification program in Kolkata.
Key Features
- Post Graduate Data Science certificate and Purdue alumni association membership
- Generative AI and Prompt Engineering: Dedicated course with live sessions
- Masterclasses delivered by Purdue faculty and IBM experts
- Learn about ChatGPT, DALL-E, Midjourney & other prominent tools
PG in Data Science Advantage
Post Graduation in Data Science is an all-encompassing program in collaboration with Purdue University – leveraging Purdue's academic excellence in data science and Simplilearn's IBM partnership.
Partnering with Purdue University
- Receive a joint Purdue-Simplilearn certificate
- Masterclasses by Purdue faculty
- Purdue Alumni Association membership
Program in collaboration with IBM
- Industry recognized IBM certificates for IBM courses
- Industry masterclasses conducted by IBM
- Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership
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PG in Data Science Details
Embark on a carefully designed learning journey with this Post Graduation in Data Science program covering Generative AI, Explainable AI, prompt engineering, ChatGPT, statistics, Python, data analysis, ML, data visualization, and more. Elevate your data science skills and propel your career forward.
Learning Path
Get started with the Post Graduate Program in Data Science in partnership with Purdue University and explore everything about the domain. Kickstart your Data Science journey with the preparatory courses on Statistics and Programming.
- Develop a comprehensive understanding of coordinate geometry and linear algebra.
- Comprehend the concepts of eigenvalues, eigenvectors, and eigendecomposition.
- Build a strong foundation in calculus, including limits, derivatives, and integrals.
- Comprehend the differences between structured and unstructured data.
- Explore statistical measures such as means, medians, deciles, percentiles, modes, and quartiles.
- Define measures of dispersion and other statistical indicators, such as range, quartile deviation, and outliers.
- Describe mean absolute deviation (MAD), standard deviation, and variance.
- Acquire proficiency in both procedural and object-oriented programming.
- Recognize the advantages and benefits of using Python as a programming language.
- Install Python and its integrated development environment.
- Familiarize yourself with the Jupyter Notebook and its practical applications.
- Implement Python identifiers, indentations, and comments effectively.
- Understand Python's data types, operators, and string functions.
- Learn about the various types of loops in Python.
- Explore the concept of variable scope within functions.
- Explain the principles and characteristics of object-oriented programming.
- Develop a comprehensive understanding of databases and their relationships.
- Learn how to use standard query tools and work with SQL commands.
- Master transactions, table creation, and views for efficient database management.
- Comprehend and execute stored procedures to perform complex operations.
- Acquire expertise in various SQL lessons, including filtering, ordering, aliasing, aggregate commands, grouping, conditional statements, joins, subqueries, views, and indexing.
- Understand user access control functions to ensure database security.
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Create your first Python program using variables, strings, functions, loops, and conditions.
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Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.
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Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.
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- Explore the processes of data preparation, model building, and evaluation.
- Develop a strong understanding of NumPy and its applications, including array indexing and slicing techniques.
- Gain a clear understanding of statistical concepts like skewness, covariance, and correlation.
- Examine different hypothesis tests, including Z-test, T-test, and ANOVA.
- Work with pandas' two primary data structures: Series and DataFrame.
- Utilize pandas for data loading, indexing, reindexing, and data merging.
- Create compelling visualizations using Matplotlib, Seaborn, Plotly, and Bokeh.
- Analyze the machine learning pipeline and gain a comprehensive understanding of essential operations involved in machine learning operations (MLOps).
- Explore supervised learning and unsupervised learning methods.
- Analyze different regression models and identify their suitability for specific scenarios.
- Identify linearity between variables and create correlation maps.
- Examine different ensemble modeling techniques, such as bagging, boosting, and stacking.
- Evaluate and compare different machine learning frameworks, including TensorFlow and Keras.
- Build a recommendation engine using PyTorch.
- Acquire expertise in various visualization techniques, such as heat maps, treemaps, waterfall charts, and Pareto charts.
- Skillfully work with filters, parameters, and sets to manipulate data effectively.
- Become proficient in utilizing special field types and Tableau-generated fields and creating and employing parameters.
- Learn how to construct different charts, interactive dashboards, and captivating story interfaces.
- Gain proficiency in data blending, creating extracts, and efficiently organizing and formatting data.
- Master various calculations, including arithmetic, logical, table, and level of detail (LOD) expressions.
The data science capstone project provides a valuable opportunity to apply the skills you have acquired during this program. With the guidance of dedicated mentors, you will address a real-world data science problem aligned with industry standards. This comprehensive project covers data processing, model building, and reporting business results and insights. It is the final step in your learning journey and enables you to demonstrate your Data Science expertise to potential employers.
Electives:
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.
- Understand the meaning of business analytics and its importance in the industry
- Grasp the fundamentals of Excel analytics functions and conditional formatting
- Learn how to analyze complex data sets using pivot tables and slicers
- Apply statistical tools and concepts such as moving averages, hypothesis testing, ANOVA, and regression to data sets using Excel
- Represent your findings using charts and dashboards
- Learn to analyze data and extract valuable business insights using Microsoft Power BI.
- Create interactive dashboards
- Gain skills to use Power BI to address and solve various business challenges
- Improve operational efficiency and effectiveness
- Learn how to develop dashboards from published reports.
- The course covers using Quick Insights to discover valuable patterns in data rapidly.
- The course provides valuable troubleshooting techniques
- Understand the fundamentals of artificial intelligence and generative AI models
- Comprehend the concept of explainable AI, recognize its significance, and identify different approaches
- Gain an understanding of ChatGPT, including its working mechanisms, notable features, and limitations
- Identify and explore diverse applications and use cases where ChatGPT
- Gain exposure to fine-tuning techniques to customize and optimize ChatGPT models
- Recognize the ethical challenges of generative AI models and ChatGPT
- Gain insights into the future of generative AI and its challenges.
- Learn about math, variables, strings, vectors, factors, and vector operations
- Gain fundamental knowledge of arrays and matrices, lists, and data frames
- Get insight into conditions and loops, functions in R, objects, classes, and debugging
- Learn how to read text, CSV, and Excel files accurately and how to write and save data objects in R to a file
- Understand and work on strings and dates in R
Program Advisors and Trainers
Program Advisors
Patrick J. Wolfe
Frederick L. Hovde Dean of the College of Science at Purdue UniversityPatrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of the College of Science at Purdue University and was named the 2018 Distinguished Lecturer in Data Science by the IEEE.
Program Trainers
Simon Travasoli
25+ years of experienceSenior Data Science Consultant at Citi Bank
Armando Galeana
20+ years of experienceFounder and CEO, Ubhuru Technologies
Prashant Nair
20+ years of experienceSolution Architect | Data Scientist
Nikhil Garg
16 + years of experienceData Science Instructor
Career Support
Simplilearn JobAssist Program
Simplilearn Job Assist program is an India Specific Offering in partnership with IIMJobs.The Program offers extended support to certified learners to land their dream jobs.
IIMJobs Pro-Membership of 6 months for free
Resume building assistance to create a powerful resume
Spotlight on IIMJobs for highlighting your profile to recruiters
Join the Data Science industry
Data Science and Artificial Intelligence are amongst the hottest fields of the 21st century that will impact all segments of daily life by 2025, from transport and logistics to healthcare and customer service.
28%Annual Job Growth By 2026
11.5 MExpected New Jobs For Data Science By 2026
Rs.9L -22LAverage Annual Salary
Companies hire Data Scientists
Batch Profile
This Post Graduation in Data Science Program is designed for working individuals from various sectors. The variety of students enriches class discussions and interactions.
- The class consists of learners from excellent organizations and diverse industriesIndustryInformation Technology - 41%Consulting - 20%Manufacturing - 8%Pharma & Healthcare - 8%BFSI - 8%Others - 15%Companies
- The class maintains an impressive diversity across work experience and rolesDesignation BreakupAssociate - 21%Midlevel - 47%Senior-level - 24%Executive - 8%Total Years of ExperienceLess than 3 years - 16%3-5 years - 15%5-8 years - 11%8+ years - 58%
- The class has learners with varied educational qualifications from excellent institutionsQualificationBachelors - 53%Masters - 29%Post Graduates - 3%Others - 15%Universities
Alumni Reviews
After working for 15+ years and understanding the rapid change in technology and the dynamic disruption in how data is handled, I realized it was time for me to upskill. While actively looking for Data Science, I came across the Post Graduate Program in Data Science from Simplilearn in partnership with Purdue University. Simplilearn gave me the option to upskill myself without impacting my day as a mother and my work.
PRIYA THOMAS
Associate Vice President, Analytics
What other learners are saying
Admission Details
Application Process
Candidates can apply to this Post Graduation in Data Science Program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
Submit Application
Tell us why you want to do Post Graduation in Data Science
Application Review
An admission panel will shortlist candidates based on their application
Admission
Selected candidates can start within 1-2 weeks
Eligibility Criteria
For admission to Post Graduation in Data Science, candidates should have:
Admission Fee & Financing
The admission fee for this Post Graduation in Data Science is ₹ 1,69,999 (Incl. taxes). This fee covers applicable program charges and the Purdue Alumni Association membership fee.
Financing Options
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
Easy Financing Options
We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
Other Payment Options
We provide the following options for one-time payment
- Internet
Banking - Credit/Debit
Card
₹ 1,69,999
(Incl. taxes)
Apply Now
Program Benefits
- Masterclasses delivered by Purdue and IBM
- Earn program completion certificate
- Exposure to ChatGPT, Generative AI, Explainable AI and more
- Alumni Association Membership from Purdue University
- Simplilearn’s Career Assistance post program completion
Program Cohorts
Next Cohort
Post Graduation in Data Science FAQs
What is the ranking of Simplilearn's Data Science Certification Program?
Simplilearn’s Data Science Certification Program has been ranked as the best program in India by Economic Times. Simplilearn has been titled the #1 Data Science Certification program, based on the following criteria, i.e., depth of curriculum, interactive hands-on learning, program recognition, and student experience.
What does Data Science entail?
Data science studies large amounts of data using cutting-edge tools and methodologies to uncover hidden patterns, extract useful information, and make business choices.
What influence will Data Science have in 2023?
Given the vast volumes of data created today, data science will continue to be essential for any company. As a result, both data and the need for Data Scientists will continue to increase.
Why is there a demand for Data Science Certification certification programs in Kolkata?
Data science has spread its wings across sectors and industries, including, healthcare, finance, retail, ecommerce and more, making it a lucrative field. And in order to grab the best opportunities in the field, a world-renowned certification (especially from a prestigious university) acts like a career catalyst.
What are the most common Data Science job roles?
The most in-demand job of the twenty-first century is Data Scientist, and for all the right reasons: the opportunity, earning potential, demand, and more. Other job oriented courses and Data Science career positions are in high order: Data Engineer, Data Architect, Data Analyst, and Business Analyst.
Discover an Extensive Collection of Best Computer Courses.
What are the essential functions and responsibilities of a Data Scientist?
A Data Scientist identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A Data Scientist also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.
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