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C-Cube

Centre of Computer Education

Training Partners

Data Analytics Courses in Kolkata with Placement Support

Data Analytics Courses Kolkata are in huge demand in industry and job-market in 2026. If you are searching for  Data Analytics Courses Kolkata, you are already thinking in the right direction. In today’s data-driven world, businesses rely heavily on insights, which is why skilled professionals are in high demand.

Choosing the right data analytics course in Kolkata can help you build practical skills in tools like Excel, SQL, Python, and Power BI. Whether you are a student, a working professional, or someone looking for a career switch, enrolling in a structured data analytics training in Kolkata can open up strong career opportunities.

Why Choose Data Analytics Courses in Kolkata for Your Career ?

Before enrolling in any Data Analytics Course in Kolkata, it is important to understand why this field is growing so fast.

Data analytics helps businesses:

  • Understand customer behavior
  • Improve decision-making
  • Increase efficiency and profit

According to reports from the World Economic Forum, data-related roles are among the fastest-growing job categories worldwide.

This means learning data analytics today can open doors to stable and rewarding career opportunities.

data-analytics

Data Analytics Courses in Kolkata (Offline & Classroom Training)

If you are searching for an Offline Data Analytics Course in Kolkata, classroom learning still offers a strong advantage.

At C-Cube, we provide structured Data Analytics Offline Course in Kolkata where students can learn directly from experienced trainers.

Benefits of offline training include:

  • Real-time interaction with faculty
  • Immediate doubt solving
  • Practical lab-based learning
  • Better discipline and consistency

For many learners, especially beginners, offline learning helps build a stronger foundation.

What You Will Learn in Our Data Analytics Training ?

Course Curriculum For Data Analytics Training

Module 1 - Python

  • Introduction to Python
  • Variables
  • Data Types
  • Numbers
  • Casting
  • Python String
  • Booleans
  • Operators
  • Loops In Python
  • Functions in Python
  • Python List
  • Tuples
  • Sets
  • Dictionary
  • Data Frame
  • Lambda Function
  • Arrays in Python
  • Python Class / Objects
  • Python Inheritance
  • File Handling with Python
  • Use of Numpy
  • Use of Pandas for Data Analysis
  • Matplotlib Python Intro
  • Pyplot
  • Plotting
  • Markers
  • Line
  • Labels
  • Grid
  • Subplots
  • Scatter
  • Bars
  • Histogram
  • Pie Charts

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    Module 2 - SQL

    • Concepts of RDBMS
    • Datatypes
    • Operators
    • Create Database
    • Select Database
    • Show Database
    • Drop Database
    • Create Tables
    • Show Tables
    • Rename Tables
    • Alter Tables
    • Drop Tables
    • Delete Tables
    • Truncate Tables
    • SQL queries on Insert
    • Select , Update , Delete , Sorting Results
    • SQL Views on Create , Update , Rename , Drop
    • SQL Operators – Where Clause , Distinct Clause , Order By Clause , Group By Clause , Having Clause , AND , OR
    • Inner Join
    • Left Join
    • Right Join
    • Full Join
    • Union VS Join
    • Cross Join
    • One-to-One Relationship
    • One-to-Many Relationship
    • Many-to-Many Relationship
    • Many-to-One Relationship
    • Primary Key
    • Foreign Key
    • Alternate Key
    • Composite Key
    • Unique Key
    • Date
    • String
    • Aggregate
    • Numeric
    • Statistical
    • Logical

    Module -3 - Excel

    1. Getting Started with Excel
    • Excel Interface Overview: Ribbon, toolbar, workbook, worksheet basics
    • Creating and Saving Workbooks: Starting a new workbook, saving options
    • Basic Navigation: Moving between cells, worksheets, and using shortcuts
    • Entering Data: Typing and editing text, numbers, dates, and special characters
    • Basic Formatting: Changing font, color, cell alignment, and styles
    1. Basic Formulas and Functions
    • Basic Arithmetic Operations: Addition (+), subtraction (-), multiplication (*), division (/)
    • AutoSum Function: SUM for adding values quickly
    • Basic Functions: MIN, MAX, AVERAGE, COUNT, COUNTA
    • Relative vs. Absolute References: Using $ for fixed cell references
    • Basic Date Functions: TODAY, NOW, YEAR, MONTH, DAY
    1. Data Entry and Editing
    • Copy, Cut, and Paste: Moving and duplicating data
    • AutoFill and Flash Fill: Filling series, dates, and patterns automatically
    • Undo and Redo: Correcting mistakes quickly
    • Find and Replace: Searching for data and replacing it
    1. Basic Formatting Techniques
    • Cell Formatting: Number, date, currency, and percentage formats
    • Conditional Formatting: Highlighting cells based on criteria
    • Borders and Shading: Enhancing cell visibility and organization
    • Adjusting Row Height and Column Width: Customizing sheet layout
    1. Basic Charts and Visualization
    • Introduction to Charts: Types of charts (column, bar, line, pie)
    • Creating Simple Charts: Selecting data and inserting charts
    • Formatting Charts: Titles, legends, labels, colors
    • Basic Data Visualization Tools: Sparklines, data bars, color scales
    1. Data Sorting and Filtering
    • Sorting Data: Sorting alphabetically, by number, or date
    • Filtering Data: Using filters to view specific data
    • Custom Sorting and Filtering Options: Sorting by multiple columns, filtering by conditions
    1. Basic Data Validation and Protection
    • Data Validation Basics: Creating dropdown lists, restricting data entry
    • Error Alerts: Customizing error messages for invalid data
    • Basic Protection: Locking cells and protecting sheets to prevent editing
    1. Introduction to Pivot Tables
    • Creating a Simple Pivot Table: Organizing and summarizing data
    • Pivot Table Fields: Row, column, value, and filter fields
    • Basic Pivot Table Customization: Sorting, filtering, and formatting in Pivot Tables
    1. Basic Printing and Page Layout
    • Print Setup: Page orientation, scaling, and print area selection
    • Headers and Footers: Adding titles, page numbers, and dates
    • Print Preview: Reviewing layout before printing
    • Page Layout Adjustments: Margins, fit to page, repeating headers
    1. Basic Excel Tips and Tricks
    • Keyboard Shortcuts: Common shortcuts for efficiency (e.g., Ctrl + Z, Ctrl + C, Ctrl + V)
    • Freeze Panes and Split Window: Keeping headers visible while scrolling
    • Basic Troubleshooting: Common error messages and how to resolve them
    • Introduction to Templates: Using built-in templates for specific tasks

    Advanced Formulas & Functions

    • Lookup and Reference Functions: VLOOKUP, HLOOKUP, INDEX, MATCH, INDIRECT
    • Logical Functions: IF, AND, OR, IFERROR, IFS, SWITCH
    • Text Functions: CONCATENATE, TEXTJOIN, LEFT, RIGHT, MID, FIND, SUBSTITUTE
    • Math & Statistical Functions: SUMIF, SUMIFS, COUNTIF, COUNTIFS, AVERAGEIF, AVERAGEIFS
    • Date & Time Functions: DATE, TODAY, NETWORKDAYS, EOMONTH, YEAR, MONTH, DAY, DATEDIF, TIME
    • Dynamic Array Functions: FILTER, SORT, UNIQUE, SEQUENCE, SORTBY
    • Financial Functions: NPV, IRR, PMT, FV, PV
    1. Data Analysis Tools
    • Pivot Tables: Creating, modifying, grouping, and summarizing data
    • Pivot Charts: Visualizing Pivot Table data, customizing, using slicers
    • Data Tables: One-variable and two-variable data tables
    • Goal Seek and Solver: Optimization and “what-if” analysis
    • Scenario Manager: Creating, editing, and analyzing scenarios
    • Data Validation: Dropdown lists, input restrictions, error messages
    1. Data Visualization
    • Charts and Graphs: Line, bar, pie, area, scatter, combo charts, waterfall, funnel
    • Conditional Formatting: Rules, icons, color scales, and data bars
    • Sparklines: Inserting and customizing mini charts within cells
    • Advanced Charting Techniques: Dynamic charts, combo charts, custom charts
    • Interactive Dashboards: Using slicers, form controls, and hyperlinks for interactivity
    1. Data Cleaning and Transformation
    • Text to Columns: Splitting data into separate columns
    • Remove Duplicates: Identifying and removing duplicate entries
    • Flash Fill: Automatic pattern recognition for data entry
    • Power Query: Importing, cleaning, and transforming data from different sources
    • Error Handling: IFERROR, ISERROR, ISNUMBER, and troubleshooting techniques
    1. Power Pivot and DAX (Data Analysis Expressions)
    • Power Pivot Basics: Adding data models, relationships, creating measures

    Module 4- Tableau

    • Overview of Tableau and its capabilities
    • Installation and setup
    • Tableau interface overview (shelves, data pane, toolbar)
    • Data sources and connections (Excel, SQL, CSV, etc.)
    • Live vs. Extract connections
    • Data joins and blending
    • Managing and editing data connections
    • Data types and data roles
    • Renaming, grouping, and splitting fields
    • Pivoting data and performing calculations
    • Using data interpreter and data preparation tools
    • Creating basic charts (bar, line, pie, scatter)
    • Working with marks, filters, and dimensions
    • Using shelves (rows, columns, color, size, label)
    • Sorting, grouping, and drilling down data
    • Creating calculated fields
    • Basic arithmetic, logical, and string functions
    • Using level of detail (LOD) calculations
    • Understanding table calculations and quick table calculations
    • Adding titles, captions, and tooltips
    • Working with colors, fonts, and formatting
    • Customizing axes and labels
    • Using shapes and icons in visualizations
    • Building dashboards and stories
    • Adding interactivity with actions (filter, highlight, URL)
    • Customizing dashboard layout and design
    • Using device layouts for mobile and desktop
    • Adding trend lines, forecasts, and reference lines
    • Clustering and outlier detection
    • Using parameters for dynamic analysis
    • Analyzing data with Tableau Prep

    Eligibility Criteria For Data Analytics Training

    • Graduates or Colleges Students from any discipline
    • No prior work experience required
    • No prior coding experience or tech know-how required

    Best Suited For

    • IT Professionals
    • Marketing Professionals
    • Recent Graduates

    Skills & Technology Covered in Data Analytics Training Course

    data analytics training in kolkata

    Our Certifications for Data Analysis Training

    IIT Bombay Certification for Python

    Spoken Tutorial is a multi-award winning educational content portal.  Here one can learn various Free and Open Source Software all by oneself.  Our self-paced, multi-lingual courses ensure that anybody with a computer and a desire for learning, can learn from any place, at any time and in a language of their choice.  All the content published on this website are shared under the CC BY SA license.  
    Our courses are simple and easy to follow even for a beginner but they also meet the growing needs of the learner.  Our engaging digital content ensures that learning happens at all levels – Basic, Intermediate and Advanced.  Our content mandates side-by-side practice thereby ensuring that learners are actively learning.  
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    python training institute

    Central Govt. Certification for
    Diploma in Data Analytics

    National Board of Computer Education is a multi-award winning educational content portal. All the courses are launched after an initial survey. The courses fulfill the requirement of the students. To gain professional qualification, certification and extra classes in career orientation and self-development. After completion of each module the performance of the students is monitored through regular tests to develop their skills. That the students should appear successfully. In the Job market and handle the situation confidently.Our students are employed in reputed organization both in India and Abroad. The key to success in ensuring quality training by the experts. Provide education for the rural youth enabling him to play a part of the global development.

     

    Read More
    python training institute

    Data Analyst Course vs Data Analytics Course

    Many people search for both data analyst course in kolkata and data analytics training, often assuming they are different.

    In reality:

    • A data analytics course teaches tools and techniques
    • A data analyst role focuses on applying those skills

    Our course is designed to prepare you for both learning and career application.

    Career Opportunities After Data Analytics Training

    After completing one of the best data analytics courses kolkata, you can apply for roles such as:

    • Data Analyst
    • Business Analyst
    • MIS Executive
    • Reporting Analyst

    Companies across industries like finance, healthcare, retail, and IT require skilled professionals who can interpret data effectively.Students completing data analytics courses kolkata are highly valued in today’s job market.

    Data Analytics Courses Kolkata – Fees, Duration & Certification

    The duration of the course typically ranges between 3 to 6 months, depending on the learning pace and batch type.

    At C-Cube:

    • Fees are affordable and student-friendly
    • Flexible payment options are available
    • Certification is provided after course completion

    This certification helps demonstrate your skills to employers.

    Why Choose C-Cube for Data Analytics Training in Kolkata?

    With over 25 years of experience in computer education, C-Cube has built a strong reputation for quality training.

    Key advantages include:

    • Experienced trainers
    • Industry-oriented curriculum
    • Practical training approach
    • Placement assistance
    • Supportive learning environment

    Our goal is not just to teach but to help students build confidence and real-world skills.

    Classroom vs Online Data Analytics Courses

    While online learning is popular, classroom training still provides unique benefits.

    Offline training helps in:

    • Better focus and discipline
    • Interactive learning experience
    • Faster problem-solving

    That is why many students prefer data analytics offline course in kolkata for effective learning.

    Data Analytics FAQs

    • As such, there is no prerequisite for undertaking this training. However, it is highly desirable if you possess the following skills sets

      • Analytical expertise
      • Good critical thinking and problem-solving skills
      • Communication Skills
    • Data Analyst has become the spine around which crucial company decisions are made. Organisations are paying top dollars to recruit Data Analyst professionals and the demand is only going to increase with the influx of data from new sources. The career roles that you can cherry pick are
      • Data Analyst
      • Research Analyst
      • PMO
      • Business Analyst Consultant / Manager
      • Data Analyst In Various Domains/ Functions eg: Banking, Health Care, Retail, Telecom, e-Commerce, Marketing, Sales, HR & Finance.
    • The companies in the above domains are generating huge amounts of data which requires a specialist to analyse and generate insights from this data & that requires some amount of functional knowledge from the above departments. For eg: Data from Sales Dept can be analysed efficiently by a data analyst who has sound knowledge on sales.

    A Data Analytics course equips individuals with the skills to analyze and interpret complex data, enabling informed decision-making and problem-solving across various industries. It provides expertise in tools like Excel, Python, R, and SQL, along with knowledge of data visualization, predictive modeling, and statistical analysis. These skills are in high demand, offering lucrative career opportunities in fields like finance, healthcare, marketing, and technology. Additionally, the course fosters critical thinking, enhances strategic planning abilities, and helps organizations leverage data for competitive advantage.

    The scope of a Data Analytics course is vast, as data is crucial for decision-making in almost every industry. Businesses use data analytics to improve efficiency, understand customer behavior, and predict future trends. From healthcare and finance to marketing and technology, companies rely on skilled data analysts to make sense of their data. With the growing importance of data-driven strategies, there is a high demand for professionals with analytics skills, offering excellent career prospects and opportunities to work in diverse fields.

    • Due to the huge void in the demand-supply of Data Analysts in the market, companies are looking for all sorts of experience who have Data Analyst Skills including freshers too. There are huge number of job openings that are awaiting freshers in the Data Analyst Field
    • Data Analyst helps a Data Scientist in the execution of Data Science Projects by extracting data from SQL and cleaning the data using various tools, before it can be passed onto a Data Scientist. When the data analyst gets promoted they become Data Scientists.

    So, Data Scientists would build the machine learning algorithms using Python. Ultimately, the data that has been received from Data Analysts.

    Data Analyst and Data Scientist jobs are of the stream, but the level of difficulty and skillset would vary as stated above. But both the roles have a great upskilling value in today’s job market.

    Which is the best data analytics course in Kolkata?

    C-Cube  Centre of Computer Education kolkata , offers a practical and industry-focused training program suitable for beginners and professionals.

    Do you provide offline classes?

    Yes, we offer classroom-based training in Kolkata.

    What is the duration of the course?

    The course duration is usually between 8  to 9 months with projects.

    Is placement assistance provided?

    Yes, we guide students with interview preparation and career support.

    Can beginners join this course?

    Yes, the course is designed for beginners with no prior technical knowledge.

    Final Thoughts on Data Analytics Courses Kolkata

    Choosing the right data analytics courses kolkata can make a big difference in your career growth

    A good course should not only teach tools but also help you understand how to use data to solve real problems.

    At C-Cube, the focus is on practical learning, clarity, and career readiness. If you are serious about building a future in data analytics, this is a great place to start.