Data Science Course in Kolkata – Data Scientist Master's Program

Build practical skills in Python, SQL, Statistics, Data Visualization, Machine Learning and Data Science through a structured, hands-on training programme designed for students, freshers, working professionals and career switchers. Palium Skills offers Data Science training in Kolkata through Classroom Training and Live Online Training, with practical exercises, case studies and real-world Data Science projects. Our Data Scientist Master's Program is designed to help learners understand how data is collected, cleaned, analysed, visualized and used to support business decisions and predictive modelling.

Data Science Training in Kolkata – Classroom & Live Online

Looking for a practical Data Science Course in Kolkata? Palium Skills provides instructor-led Data Science training designed around practical learning rather than theory alone. Participants work with commonly used Data Science tools and techniques and apply their learning through exercises and projects. The programme is suitable for learners from technical as well as non-technical backgrounds who want to develop job-oriented Data Science skills.

Training options

• Classroom Data Science training in Kolkata
• Live Online Data Science training
• Instructor-led practical sessions
• Weekday and weekend batch options, subject to availability
• Practical exercises and assignments
• Real-world Data Science projects
• Course completion certificate
• Doubt-clearing support

Why Learn Data Science?

Data Science combines programming, statistics, analytical thinking and machine learning to extract useful information from data. Organisations across banking, finance, e-commerce, manufacturing, healthcare, technology, retail and other industries use data to understand customers, identify trends, improve processes and support business decisions. Learning Data Science can therefore help professionals build skills relevant to areas such as:

• Data analysis
• Business analytics
• Predictive analytics
• Machine learning
• Data visualization
• Customer analytics
• Sales and marketing analytics
• Financial analytics
• Operations analytics

Data Science Course Highlights

The Data Scientist Master's Program at Palium Skills includes:

• Python for Data Science
• SQL and database concepts
• Statistics and probability
• Data cleaning and data preparation
• Exploratory Data Analysis
• Data visualization
• Predictive analytics
• Machine Learning concepts
• R programming
• Practical assignments
• Industry-oriented case studies
• Capstone project
• 20+ practical Data Science projects
• Projects based on different business domains
• Instructor-led training
• Classroom and Live Online learning options
• Course completion certificate

Data Science Course Curriculum

1. Introduction to Data Science

Understand the Data Science lifecycle and how organisations use data to solve business problems. Topics include:

• What is Data Science?
• Data Science lifecycle
• Types of data
• Structured and unstructured data
• Data-driven decision making
• Data Science applications
• Business problems and analytical approaches

2. Python for Data Science

Learn Python fundamentals and the programming concepts required for Data Science. Topics include:

• Python fundamentals
• Variables and data types
• Operators
• Conditional statements
• Loops
• Functions
• Lists, tuples, sets and dictionaries
• File handling
• Exception handling
• Working with libraries
• Practical Python exercises

3. NumPy and Pandas

Learn how Python libraries are used to work with datasets. Topics include:

• NumPy arrays
• Array operations
• Pandas Series
• Pandas DataFrames
• Importing datasets
• Filtering and sorting data
• Handling missing values
• Data transformation
• Grouping and aggregation
• Merging datasets

4. Data Cleaning and Data Preparation

Learn how raw data is prepared for analysis and modelling. Topics include:

• Data quality
• Missing-value treatment
• Duplicate records
• Outlier identification
• Data transformation
• Data formatting
• Feature preparation
• Data validation

5. Exploratory Data Analysis

Learn how to explore datasets and identify meaningful patterns. Topics include:

• Univariate analysis
• Bivariate analysis
• Multivariate analysis
• Descriptive statistics
• Correlation analysis
• Pattern identification
• Business interpretation of data

6. Statistics and Probability

Develop the statistical foundation required for Data Science. Topics include:

• Mean, median and mode
• Variance and standard deviation
• Probability concepts
• Distributions
• Sampling
• Hypothesis testing
• Correlation
• Regression concepts
• Statistical interpretation

7. SQL for Data Science

Learn how to retrieve and analyse data from relational databases. Topics include:

• SQL fundamentals
• SELECT statements
• Filtering data
• Sorting and grouping
• Aggregate functions
• Joins
• Subqueries
• CASE statements
• Data analysis using SQL
• Practical SQL exercises

8. Data Visualization

Learn how to convert analytical results into meaningful visual information. Topics include:

• Principles of data visualization
• Charts and graphs
• Distribution visualizations
• Comparison charts
• Trend analysis
• Relationship analysis
• Dashboard concepts
• Communicating insights

9. R Programming for Data Analysis

Learn the fundamentals of R and its application in statistical and analytical work. Topics include:

• R fundamentals
• Data structures
• Data manipulation
• Statistical analysis
• Data visualization
• Working with datasets
• Practical exercises

10. Predictive Analytics

Understand how historical data can be used to identify trends and make predictions. Topics include:

• Predictive analytics concepts
• Predictive modelling workflow
• Variable selection
• Model development
• Model interpretation
• Model evaluation
• Business applications

11. Machine Learning

Understand the fundamentals of Machine Learning and how models are developed from data. Topics include:

• Introduction to Machine Learning
• Supervised learning
• Unsupervised learning
• Regression
• Classification
• Clustering
• Model training
• Model testing
• Model evaluation
• Overfitting and underfitting

12. Feature Engineering and Model Evaluation

Learn how data is prepared for better predictive models. Topics include:

• Feature selection
• Feature transformation
• Encoding categorical variables
• Scaling
• Training and testing datasets
• Performance metrics
• Model comparison
• Cross-validation concepts

13. Capstone Data Science Project

Apply the concepts learned during the programme to a practical end-to-end project. The project involves stages such as: Business problem → Data collection → Data preparation → Exploration → Visualization → Modelling → Evaluation → Business interpretation

20+ Real-World Data Science Projects

Practical project work is an important part of the programme. Participants work on projects and datasets representing different business environments, including areas such as:

• Banking
• Finance
• E-commerce
• Technology
• Manufacturing
• Sales
• Customer analytics
• Business operations

Projects help learners understand how Data Science techniques can be applied to practical business problems.

Who Should Join This Data Science Course?

This programme can be suitable for:

• Graduates
• Final-year students
• Freshers
• Working professionals
• Data analysts
• Business analysts
• MIS professionals
• Python learners
• Software professionals
• Finance professionals
• Marketing professionals
• Operations professionals
• Professionals looking to move into Data Science
• Career switchers interested in analytics and Machine Learning

Basic knowledge of Python is helpful, but learners can discuss their existing skill level with the training team before joining.

Career Opportunities After Data Science Training

Data Science skills can be useful for roles and career paths such as:

• Data Scientist
• Junior Data Scientist
• Data Analyst
• Business Analyst
• Data Science Associate
• Machine Learning Analyst
• Python Data Analyst
• Analytics Professional
• Predictive Analytics Professional

Actual job roles and requirements vary according to the employer, candidate's experience and technical skill level.

Data Science Course in Kolkata – Why Choose Palium Skills?

Palium Skills focuses on practical, instructor-led skill development.

Practical Training

The programme combines concepts with practical exercises so that learners can apply what they learn.

Experienced Trainers

Training is delivered by experienced professionals with industry and teaching exposure.

Real-World Projects

Participants work on practical projects and datasets rather than learning only through theoretical examples.

Classroom and Live Online Training

Choose classroom training in Kolkata or participate through live online instructor-led sessions.

Structured Learning

The programme progresses from fundamentals through data analysis, statistics, visualization, predictive analytics and Machine Learning.

Doubt-Clearing Support

Participants can raise questions during training and use the available doubt-clearing support after classes.

Data Science Training in South Kolkata

Palium Skills provides classroom training from its South Kolkata centre near South City Mall. South Kolkata Centre Sheeba Bhavan, Poddar Nagar Near South City Mall Kolkata – 700068 Live Online training is also available for learners who prefer remote participation.

Data Science Course Duration and Fees

Course	Data Scientist Master's Program
Duration	8 Months
Training Mode	Classroom + Live Online
Course Fee	₹40,000
Projects	20+ Practical Projects
Certificate	Course Completion Certificate

Batch schedules may change based on new admissions and batch availability. Contact Palium Skills for the latest weekday and weekend batch schedule.

Course Completion Certificate

Participants who successfully complete the programme and meet the required attendance criteria receive a Palium Skills course completion certificate. Participants are required to maintain at least 90% attendance for certificate eligibility.

Enrol for Data Science Training in Kolkata

Build practical Data Science skills with Python, SQL, Statistics, Data Visualization, Predictive Analytics and Machine Learning. Palium Skills South Kolkata Centre: Sheeba Bhavan, Poddar Nagar Near South City Mall Kolkata – 700068 Phone: +91 8420594969 / +91 9903130500 Email: info@paliumskills.com Contact Palium Skills for the latest Data Science Course in Kolkata batch schedule, admission information and training details.