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Data Analytics Training in Kolkata
- Learn to work with data using Advanced Excel, SQL, Power BI, Python and Statistics through a structured programme at C-Cube Centre of Computer Education, Kolkata.
- The course is designed for beginners, graduates and working professionals who want to build practical data analysis skills. You will learn how to prepare data, analyse information, create reports and dashboards, and present findings through guided exercises and projects.
Enquire about the course and discuss the learning plan that suits your background and goals.
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Course Duration
8 Months (Course) + 1 Month Project
Tools Covered
Python , SQL , Advanced Excel , Power BI & Statistics
Learning Mode
Classroom | Online | Hybrid. (All available)
Batch Size
Small – 1 On 1 Training Option
Placement Assistance
Yes
Data Analytics Course Overview
Data Analytics involves more than using software. It requires understanding a dataset, asking the right questions, checking the quality of information, analysing patterns and communicating the findings clearly.
Excel
Organise data, use formulas, summarise information and prepare reports.
SQL
Retrieve, filter, join and summarise data from relational databases.
Python
Use Python and libraries such as Pandas for data handling, analysis and visualisation.
Power BI
Build data models, create calculations and develop interactive reports and dashboards.
Tools & Technologies You'll Learn with our Data Analytics Course
Spreadsheet Analytics
Microsoft Excel – Power Query , Power Pivot , Data cleaning, formulas, Pivot Tables, reporting
Database & Querying
MYSQL – Queries, joins, filtering and data analysis
Business Intelligence Tool
Power BI – Data modelling, DAX, Dashboards and Reports
Python Analytics Basics
Python – Numpy , Pandas, Matplotlib, data handling, analysis and visualization
What You Will Be Able to Build After This Program
- Excel-based analytical reports
- SQL-based data queries and business reports
- Power BI dashboards and interactive reports
- Sales and customer analysis reports
- HR / operations reporting dashboards
- Business performance summaries and insights
- Three guided practical projects for your portfolio
Data Analytics Course Syllabus
Module 1 - Advanced Excel
- Data cleaning and formatting
- Logical, lookup, text and date functions
- Pivot Tables and Pivot Charts
- Conditional formatting and data validation
- MIS reports, summaries and interactive dashboards
- Practical Excel-based analysis
Module 2 – SQL for Data Analysis
- Database and relational table fundamentals
- SELECT, WHERE, ORDER BY and filtering
- Aggregate functions and GROUP BY
- Joins and subqueries
- Common Table Expressions and window functions, where included in the programme
- Data retrieval and analysis using MySQL
- Solving practical questions with SQL queries
Module 3 –Python for Data Analysis
- Python fundamentals, including variables, conditions, loops and functions
- Lists, dictionaries and other data structures
- NumPy fundamentals
- Data handling and analysis using Pandas
- Data cleaning, filtering and aggregation
- Exploratory Data Analysis
- Charts and visualisation using Matplotlib and other taught libraries
Module 4 –Power BI for Reporting and Visualisation
- Power BI interface and data connections
- Data cleaning and transformation using Power Query
- Data modelling and relationships
- DAX fundamentals, measures and calculations
- Visualisation and interactive reports
- KPIs, filters and drill-through
- Dashboard development and report sharing
Module 5 – Statistics for Data Analysis
- Types of data and data collection
- Mean, median and mode
- Range, variance and standard deviation
- Basic probability and sampling
- Correlation and trend analysis
- Data interpretation and common analytical errors
Module 6 – Practical Projects and Case Studies
- Sales data analysis and dashboard reporting
- Customer and retail data analysis
- HR or operations reporting
- Financial or business performance analysis
- A guided project that combines relevant tools and analytical steps
Practical Projects You Will Work On
Sales Analysis
Compare sales across products, regions and time periods, identify patterns and present the results in a dashboard.
Customer Analysis
Examine purchasing patterns and customer groups using suitable summary measures and queries.
HR Reporting
Analyse selected workforce or operational measures and prepare a report.
Financial reporting
Organise revenue and expense data and present relevant performance indicators.
Career Opportunities After the Course
-
MIS Executive
Preparing recurring reports and summarising business information.
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Junior Data Analyst
Cleaning, querying and analysing datasets to answer business questions.
-
Business Analyst
Supporting business decisions through data, reporting and domain knowledge.
-
Reporting Analyst
Producing reports and tracking key measures.
-
Junior BI or Dashboard Reporting roles
Building and maintaining reports using tools such as Power BI.
Who Can Join the Data Analytics Course?
-
Beginners who want to start learning data analysis.
-
Graduates and Final-Year students from Commerce, Science, Arts, Management, Engineering and other Disciplines.
-
Working professionals in accounts, finance, sales, marketing, HR, operations or MIS who want to improve their reporting and analysis skills.
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Learners considering a move towards entry-level data-related roles.
Learn the tools.
Understand the process.
Build Your Future.
Career Guidance and Interview Preparation
Along with technical training, C-Cube supports learners with employability preparation, where included in the programme.
- Resume and CV guidance
- Mock interview practice
- Communication and presentation activities
- Group discussion practice
- Guidance on explaining project work during interviews
Certification Options
Medhavi Foundation certification
C-Cube is associated with Medhavi Foundation as a Skill Certification Partner. Eligible learners will receive the applicable Medhavi Foundation certification after meeting the relevant course, assessment and certification requirements.
NBCE certification
Eligible learners may also pursue the applicable NBCE certification after completing the required course work and examination, subject to the relevant certification requirements.
Why Learn Data Analytics at C-Cube Kolkata
Learn from Experienced Mentors
Trainers review practical work, clarify doubts and help learners understand why a particular transformation, relationship, calculation or visual is being used.
Flexible Learning Options
Whether you prefer classroom-based Data Analytics classes in Kolkata or instructor-led online sessions, the objective remains the same — providing a structured learning environment where learners can practise regularly and receive guidance throughout the learning process.
Career Guidance and Interview Preparation
Learning Power BI is only one part of becoming job-ready. C-Cube also supports employability skill development through resume guidance, communication and soft-skill development, portfolio guidance, mock interviews and career preparation.
Affordable Course Fees with Installment Facility
We offer flexible fee payment options, including installment facilities, to make Power BI training more manageable for students, graduates and working professionals.
Data Analytics Course Fees, Duration and Training Mode
Course Fees
₹35,000/-
(7 Installments of ₹5,000/- each)
Course Duration
9 Months
Classes
3 Days a Week
Offline | Online | Hybrid
Ready To Start Your
Data Analytics Journey
Contact C-Cube Centre of Computer Education, Kolkata, to enquire about the current Data Analytics batch, fees, syllabus and learning options.
Call Us Today For More Details on Data Analytics Course
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.
Why Does Practical Learning Matter in Data Analytics?
Practical learning helps students understand how analytics concepts are applied in real business situations instead of only learning theory. Working with real datasets, dashboards, reports, and case studies improves analytical thinking, problem-solving ability, and confidence in using tools like Excel, SQL, Python, and Power BI.
Students who want to understand how practical analytics learning supports long-term career growth can also explore our detailed guide on Data Analytics learning and industry applications.
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.
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.