Data Analyst Course in Kolkata – Classroom & Live Online Training
Build practical data analytics skills with the
Data Analyst Course in Kolkata at Palium Skills. This comprehensive, instructor-led program is designed for students, fresh graduates, job seekers and working professionals who want to develop the skills required for data analysis, reporting and business intelligence.
The course combines some of the most important tools used in modern data analytics, including
Advanced Excel, SQL, Power BI, Tableau and Python, along with essential concepts in data analysis, statistics and data visualization. Students learn through practical exercises, business datasets, dashboards, queries and real-world projects.
Classroom training is available at our
South Kolkata and Salt Lake / Sector V centres, along with
live online Data Analyst training for learners across India.
Classroom Training | Live Online Training | Practical Projects | Weekday & Weekend Batches | Course Completion Certificate
Data Analyst Course at a Glance
- Course: Data Analyst Training Program
- Training Mode: Classroom & Live Online
- Locations: South Kolkata and Salt Lake / Sector V
- Suitable For: Students, freshers and working professionals
- Tools Covered: Advanced Excel, SQL, Power BI, Tableau and Python
- Learning Method: Instructor-led practical training
- Projects: Business-oriented data analytics projects
- Certificate: Course Completion Certificate
- Batch Options: Weekday and weekend batches, subject to the current schedule
Data Analyst Training at Palium Skills
Businesses today generate large volumes of data from sales, finance, customers, operations, marketing, human resources and other business functions. However, data becomes valuable only when it can be organised, analysed and converted into meaningful information.
A Data Analyst helps organisations understand data, identify patterns, prepare reports, create dashboards and support better business decisions.
The Data Analyst Course at Palium Skills focuses on developing practical skills that can be applied to real-world business data. Instead of learning only theoretical concepts, students work with spreadsheets, databases, dashboards, visualisations and datasets to understand how data is collected, cleaned, analysed and presented.
The course can help learners build a strong foundation for roles involving:
- Data Analysis
- Business Analysis
- MIS Reporting
- Business Intelligence
- Reporting and Dashboard Development
- Operations Analysis
- Sales and Marketing Analysis
- HR Analytics
- Financial Analysis
- Data-driven decision-making
Why Learn Data Analytics?
Data is now an important part of decision-making across almost every industry. Organisations use data to understand customers, analyse sales, monitor performance, improve operations and identify business opportunities.
Learning data analytics can help you develop practical skills to:
- Analyse business data
- Clean and organise datasets
- Create reports and dashboards
- Identify trends and patterns
- Work with databases
- Write SQL queries
- Create interactive Power BI reports
- Use Excel for reporting and analysis
- Present information through data visualisation
- Support data-driven business decisions
Data analytics skills can be useful across technology, finance, banking, retail, healthcare, manufacturing, marketing, human resources and many other industries.
Who Should Join the Data Analyst Course?
The Data Analyst Training Program is suitable for:
- Students and fresh graduates
- Job seekers
- Working professionals
- MIS Executives
- Excel users
- Business professionals
- Finance and accounting professionals
- HR professionals
- Sales and marketing professionals
- Operations professionals
- Software and IT professionals
- Professionals planning a career change
- Beginners interested in Data Analytics and Business Intelligence
The course is structured to help learners progressively develop their data analytics skills.
What Tools Will You Learn?
The Data Analyst Course covers important tools used for working with data.
Advanced Excel
Learn how to analyse, organise and report business data using Microsoft Excel.
Topics include:
- Advanced formulas and functions
- XLOOKUP and VLOOKUP
- INDEX MATCH
- IF and nested formulas
- SUMIFS and COUNTIFS
- Pivot Tables
- Pivot Charts
- Data cleaning
- Data validation
- Conditional formatting
- Charts
- Interactive dashboards
- MIS reporting
SQL for Data Analysis
SQL is an important skill for Data Analysts working with databases.
You will learn concepts such as:
- Introduction to databases
- SELECT statements
- WHERE clause
- Sorting and filtering
- Aggregate functions
- GROUP BY and HAVING
- SQL JOINs
- Working with multiple tables
- Subqueries
- Data analysis using SQL queries
- Creating reports from database information
Students will learn how SQL can be used to retrieve and analyse business data.
Power BI for Business Intelligence
Learn how to transform raw data into interactive reports and dashboards.
Topics include:
- Introduction to Power BI
- Connecting to data sources
- Power Query
- Data cleaning and transformation
- Data modelling
- Relationships
- DAX fundamentals
- Measures and calculations
- Data visualisation
- Interactive reports
- Dashboard creation
- Business intelligence reporting
Students will work with practical datasets and dashboard exercises.
Tableau and Data Visualisation
Learn the principles of presenting data clearly through effective visualisation.
Topics may include:
- Connecting data
- Creating charts
- Filters
- Interactive reports
- Dashboard development
- Data storytelling
- Presenting insights for business decision-making
Python for Data Analysis
Python is widely used for data processing, automation and analytics.
The course introduces learners to Python concepts relevant to data analysis, including:
- Python fundamentals
- Variables and data types
- Lists and dictionaries
- Functions
- Working with files
- Introduction to NumPy
- Introduction to Pandas
- Working with DataFrames
- Data cleaning concepts
- Basic data analysis
Python can provide an additional foundation for learners who want to progress towards Data Science and Machine Learning.
Data Analytics and Business Concepts
Before working with tools, it is important to understand the role of analytics in solving business problems.
The course covers concepts such as:
- Introduction to Data Analytics
- Types of data
- Structured and unstructured data
- Data Analytics lifecycle
- Business problems and analytical thinking
- Data visualisation for decision-making
- Data Analyst vs Business Analyst
- Data Analytics vs Data Science
- Data Analytics vs Machine Learning
- Analytics applications across industries
- Emerging trends in data and analytics
Statistics for Data Analysts
Basic statistical understanding can help Data Analysts interpret data more effectively.
Topics may include:
- Mean
- Median
- Mode
- Range
- Standard deviation
- Percentages and ratios
- Correlation
- Trends
- Distribution concepts
- Interpreting business data
The focus is on understanding and applying statistics in practical data analysis scenarios.
Machine Learning Fundamentals
The course introduces learners to the role of Machine Learning in the broader data ecosystem.
Topics may include:
- Introduction to Machine Learning
- Supervised learning
- Unsupervised learning
- Regression
- Classification
- Clustering
- Basic model concepts
- The difference between Data Analytics and Machine Learning
This section is intended to help learners understand the progression from Data Analytics towards more advanced Data Science and Machine Learning concepts.
Data Analyst Course Curriculum
Module 1: Introduction to Data Analytics
- Understanding the role of a Data Analyst
- Introduction to business data
- Types of data
- Data Analytics lifecycle
- Analytical problem-solving
- Business objectives and KPIs
- Data-driven decision-making
Module 2: Advanced Excel for Data Analysis
- Advanced Excel formulas
- Logical functions
- Lookup functions
- XLOOKUP
- VLOOKUP
- INDEX MATCH
- Data cleaning
- Sorting and filtering
- Pivot Tables
- Pivot Charts
- Advanced charts
- Excel dashboards
- MIS reporting
Module 3: SQL for Data Analysis
- Introduction to databases
- SQL fundamentals
- SELECT statements
- Filtering data
- Sorting data
- Aggregate functions
- GROUP BY
- HAVING
- JOINs
- Subqueries
- Working with multiple tables
- Practical SQL exercises
Module 4: Power BI
- Introduction to Business Intelligence
- Connecting data sources
- Power Query
- Data transformation
- Data modelling
- Relationships
- DAX basics
- Measures
- Calculated columns
- Charts and visuals
- Interactive reports
- Power BI dashboards
Module 5: Tableau and Data Visualisation
- Introduction to Tableau
- Connecting datasets
- Creating charts
- Filters
- Interactive visualisation
- Dashboards
- Data storytelling
Module 6: Python for Data Analysis
- Python fundamentals
- Variables and data types
- Lists and dictionaries
- Functions
- File handling
- Introduction to NumPy
- Introduction to Pandas
- DataFrames
- Data cleaning concepts
- Basic data analysis
Module 7: Statistics and Analytical Thinking
- Descriptive statistics
- Mean, median and mode
- Standard deviation
- Trends
- Correlation
- Interpreting business information
- Analytical decision-making
Module 8: Introduction to Machine Learning
- Introduction to Machine Learning
- Supervised learning
- Unsupervised learning
- Regression
- Classification
- Clustering
- Understanding the Data Analytics and Machine Learning ecosystem
Data Analyst Projects and Practical Exercises
Practical learning is an important part of the Data Analyst Training Program.
Students may work on exercises and projects based on business datasets.
Examples include:
Sales Performance Analysis
Analyse sales data to identify:
- Sales trends
- Top-performing products
- Regional performance
- Monthly and yearly comparisons
HR Analytics Dashboard
Create reports and dashboards using employee data to analyse:
- Workforce information
- Attendance
- Employee trends
- Department-wise data
Financial Data Analysis
Work with financial datasets to create reports and identify:
- Revenue trends
- Expense patterns
- Performance indicators
SQL Data Analysis Project
Use SQL queries to:
- Retrieve data
- Filter information
- Join tables
- Analyse business records
Power BI Business Dashboard
Create an interactive dashboard using:
- KPIs
- Charts
- Filters
- Data models
- Business measures
Python Data Analysis Exercise
Use Python and data-analysis libraries to:
- Read datasets
- Organise information
- Clean data
- Perform basic analysis
Project availability and complexity may vary based on the selected batch and learning level.
What Will You Be Able to Do After Completing the Data Analyst Course?
After completing the training, learners can develop practical skills to:
- Work with business datasets
- Analyse information using Excel
- Create Pivot Tables and dashboards
- Write SQL queries
- Retrieve information from databases
- Clean and transform data
- Create Power BI reports
- Build interactive dashboards
- Understand data modelling concepts
- Use Python for basic data analysis
- Present information through charts and visualisations
- Understand business KPIs
- Identify trends and patterns in data
The course provides a foundation for learners interested in Data Analytics, Business Intelligence and related data-oriented roles.
Data Analyst Training in Kolkata
Palium Skills offers instructor-led Data Analyst training for learners who prefer practical classroom learning.
Students can attend classes, interact with trainers and work on practical exercises during the course.
Classroom Data Analyst Training in South Kolkata
Learners can attend classroom training at our South Kolkata centre:
South Kolkata Center
1st Floor, Sheeba Bhavan
1/22 Poddar Nagar
Near South City Mall
Kolkata – 700068
The centre is convenient for learners from South Kolkata and nearby areas.
Data Analyst Course in Salt Lake and Sector V
Classroom training is also available at our Salt Lake / Sector V centre:
Salt Lake Center
5th Floor, RDB Boulevard
Block GP, Salt Lake Electronics Complex
Sector V, Kolkata – 700091
This location is convenient for students and working professionals from Salt Lake, Sector V and nearby areas.
Live Online Data Analyst Training
Palium Skills also offers live online training for learners who cannot attend classroom sessions.
Live online classes allow students to learn through instructor-led sessions from their preferred location.
Online learners can participate in:
- Live classes
- Practical demonstrations
- Exercises
- Question and answer sessions
- Doubt clearing
- Guided learning activities
Training options may vary based on the current batch schedule.
Why Choose Palium Skills for Data Analyst Training?
Practical Learning
Students learn through exercises, datasets, queries, reports and dashboard activities.
Instructor-Led Training
Structured training sessions are delivered by experienced faculty members.
Multiple Data Analytics Tools
The program brings together important tools including:
- Advanced Excel
- SQL
- Power BI
- Tableau
- Python
Classroom and Live Online Options
Choose a training format based on your learning preference and availability.
Flexible Batch Options
Weekday and weekend batches may be available according to the current course schedule.
Career-Oriented Learning
The course focuses on practical data analysis, reporting and business intelligence skills.
Course Completion Certificate
Students who successfully complete the course receive a course completion certificate from Palium Skills, subject to the applicable course requirements.
About Our Data Analyst Trainers
The Data Analyst Course is delivered by experienced trainers with knowledge of data analytics, reporting, business applications and technology.
The training focuses on helping students understand not only individual software tools but also how different tools can be used together in the data analytics workflow.
Our instructors guide learners through practical concepts such as:
- Data analysis
- Excel reporting
- SQL queries
- Business Intelligence
- Power BI dashboards
- Data visualisation
- Python fundamentals for analytics
Trainer profiles and batch-specific faculty information may be provided based on the selected course schedule.
Data Analyst Course Duration and Fee
The Data Analyst Course includes multiple tools and practical learning components.
Course Fee: ₹45,000
For information about:
- Course duration
- Upcoming batches
- Classroom availability
- Live online options
- Weekday batches
- Weekend batches
- Current offers
please contact Palium Skills.
Career Opportunities After Learning Data Analytics
Data analytics skills can be useful across different business and technology functions.
Learners may explore career paths related to:
- Data Analyst
- Junior Data Analyst
- MIS Executive
- MIS Analyst
- Reporting Analyst
- Business Analyst
- Business Intelligence Analyst
- Operations Analyst
- Sales Analyst
- Marketing Analyst
- HR Analyst
- Financial Analyst
Career opportunities depend on an individual's education, experience, technical skills and the requirements of employers.
Continue Your Learning with Related Data and Analytics Courses
After developing a foundation in Data Analytics, learners can continue building specialised skills through related courses such as:
These courses can help learners develop deeper expertise in specific areas of analytics, programming, Artificial Intelligence and Business Intelligence.
Enrol in the Data Analyst Course at Palium Skills
Build practical skills in
Advanced Excel, SQL, Power BI, Tableau and Python through instructor-led Data Analyst Training at Palium Skills.
Choose the learning option that suits your requirements:
- Classroom Training in South Kolkata
- Classroom Training in Salt Lake / Sector V
- Live Online Training
Contact Palium Skills for the latest Data Analyst course schedule, batch availability, duration and enrolment details.
South Kolkata Centre
1st Floor, Sheeba Bhavan
1/22 Poddar Nagar
Near South City Mall
Kolkata – 700068
Phone: +91-8420594969
Salt Lake / Sector V Centre
5th Floor, RDB Boulevard
Block GP, Salt Lake Electronics Complex
Sector V, Kolkata – 700091
Phone: +91-9903130500
Email: info@paliumskills.com
