• Subhash Chowk,Sonipat, Delhi-NCR
  • info@intinstitute.com
  • +91 935 0579 660
6-MONTH DATA ANALYSIS PROGRAMME

Data Analysis Course in Sonipat

Build practical data analysis skills with a 6-month Data Analysis Course at INT Institute. Learn how to work with data, analyse information, create dashboards, write queries, use programming tools and apply predictive modelling techniques.The course covers Advanced Excel, Power BI, Python, MySQL, R, Presto, NumPy, Data Structures & Algorithms (DSA), MongoDB and Predictive Modelling to develop a broad foundation for modern data analysis.
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Course Overview

What Does This Data Analysis Course Cover?

Data analysis involves collecting, organising, querying, processing and interpreting data to discover useful information. A strong foundation requires both analytical thinking and practical knowledge of tools used for working with different types of data.At INT Institute, this Data Analysis Course in Sonipat covers spreadsheet-based analysis with Advanced Excel, dashboard creation with Power BI, programming with Python and R, database querying with MySQL, data processing with NumPy, working with MongoDB, exposure to Presto, Data Structures & Algorithms and predictive modelling.

Data Analysis with Excel & Power BI

Learn advanced spreadsheet techniques and create meaningful dashboards and visual reports using Power BI.

Programming for Data Analysis

Develop data analysis skills with Python, NumPy and R.

Databases & Data Querying

Learn to work with structured and non-relational data using MySQL, MongoDB and Presto.

Advanced Data Skills

Understand Data Structures & Algorithms and build a foundation in predictive modelling.

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Ideal For

Who Can Join a Data Analysis Course?

This program is suitable for learners who want to develop a broader understanding of data analysis tools and build practical skills across programming, databases, visualisation, and predictive analytics.

Students

Students who want to develop practical data analysis and analytics skills.

Beginners

Learners who want to start learning data analysis from the fundamentals.

Excel Learners

Students who want to move from regular spreadsheet work towards advanced data analysis using Excel.

Python Learners

Learners interested in using Python for data processing and analysis.

Business & Management Students

Students who want to understand data, reports, dashboards and analytical decision-making.

Database Learners

Learners interested in SQL, MySQL, MongoDB and working with different types of data.

Aspiring Data Analysts

Learners who want to build a foundation for data analyst and analytics-related roles.

Analytics Enthusiasts

Students interested in Power BI, visualisation, programming and predictive modelling.

Career Switchers

Learners looking to develop practical technical and analytical skills for a new career direction.

Course Curriculum

What Will You Learn in the Data Analysis Course?

The 6-month curriculum combines spreadsheet analysis, business intelligence, programming, databases, data processing and predictive modelling.
01

Python for Data Analysis

Learn Python programming concepts required for working with data. Develop the ability to work with data, perform analysis and build programming-based analytical workflows.

02

R Programming

Learn the fundamentals of R for statistical and data analysis workflows. Use R to work with data and support analytical tasks.

03

NumPy

Learn NumPy for numerical computing and data processing in Python. Understand arrays and numerical operations used in data analysis workflows.

04

MySQL

Learn relational database concepts and use MySQL to store, retrieve and query structured data. Understand SQL-based data retrieval and analysis.

05

MongoDB

Learn the fundamentals of MongoDB and understand how non-relational data can be stored, accessed and managed using a document-oriented database.

06

Power BI

Learn how Power BI can be used to transform data into interactive reports and dashboards. Understand data preparation, visualisation and dashboard development for analytical reporting.

07

Presto

Learn the fundamentals and application of Presto for querying and working with data across data sources in analytical environments.

08

KNIME

Learn the fundamentals of KNIME and understand how visual workflows can support data preparation and analysis.

09

Data Structures & Algorithms

Build a foundation in Data Structures and Algorithms (DSA). Understand how data can be organised and how algorithms can be used to solve computational problems efficiently.

10

Data Analysis Workflow

Understand how different data tools can fit together across data handling, analysis, visualisation, and interpretation.

11

Predictive Modeling

Understand the fundamentals of predictive modelling, including how historical data can be analysed to identify patterns and build models for making predictions.

12

Practical Data Analysis

Bring together the tools and concepts covered during the course to develop a practical understanding of data-analysis workflows.

What You Get

A Structured Path for Data Analysis and Analytics

The course combines multiple technologies instead of focusing on only one software tool. This gives learners exposure to spreadsheets, business intelligence, programming, databases and predictive modelling within one structured programme.

Build Practical Data Analysis Skills

Develop hands-on skills in programming, databases, data processing, visualization, and predictive analysis to understand and work with real-world data confidently.

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DSA Foundation

Understand important Data Structures & Algorithms concepts for computational problem solving.

Advanced Excel Skills

Build advanced spreadsheet and data analysis skills with Excel.

Power BI Dashboard Skills

Learn to turn data into reports and interactive dashboards.

Power BI Skills

Learn to transform data into visual reports and dashboards using Power BI.

Python Data Analysis

Develop programming skills for working with and analysing data.

SQL & Database Knowledge

Gain practical exposure to MySQL and database querying.

Multiple Data Technologies

Work with R, NumPy, MongoDB and Presto as part of the learning path.

Career Path

Where This Data Analysis Course Can Take You

Data analysis skills can be applied across technology, business, finance, operations, marketing, reporting, and other data-driven environments. Your career opportunities will depend on your practical skills, experience, portfolio, and specialization.

Data Analyst

Work with data to identify patterns, prepare analysis, and communicate useful insights.

Business Intelligence Analyst

Use data and visualisation tools to support reporting and business decision-making.

Power BI Analyst

Create reports, dashboards, and visual data presentations using Power BI.

Data Reporting Analyst

Work with databases, spreadsheets, reports, and analytical information to support organisational requirements.

Junior Data Professional

Build an entry-level foundation through programming, database, visualisation, and analytical skills.

Data Analytics Professional

With additional experience and specialization, progress towards broader data analytics responsibilities across different industries.

Course Details

Duration, Mode & What to Expect

Complete the 8-month Data Analysis Course through structured online or offline learning designed around modern data-analysis technologies.The program covers Python, R, NumPy, MySQL, Power BI, Presto, MongoDB, KNIME, DSA, and Predictive Modeling through a focused data-analysis curriculum.Build practical exposure to multiple data tools and analytical concepts through structured learning, with the course fee currently listed at ₹40,000.

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New Batch Starting Soon

Limited Seats

Practical data analysis and technology-focused learning

Python, R, MySQL, Power BI and other modern data tools

Predictive Modeling and analytical concepts

Study material and learning resources

Doubt clearing and mentor guidance

Hands-on Data Processing and Visualization Practice

Real-World Data Analysis Projects

Reserve Your Seat
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Student Stories

What Students Say

Aditya Sharma

Data Analysis Learner

5.0

""The course gave me exposure to multiple data technologies instead of focusing on only one tool. The combination of Python, SQL and Power BI was particularly useful.""

Priya Verma

Data Analytics Learner

5.0

""Learning different tools in a structured sequence helped me understand how programming, databases and visualisation connect in data analysis.""

Rohit Kumar

Data Analysis Student

5.0

""The curriculum gave me a broader understanding of data analysis and helped me explore areas like Power BI, Python and Predictive Modeling.""

Have Questions?

Common Questions FAQs

Find answers to the most common questions about our course.

The course duration is 8 months, with online and offline learning options available.

The course covers R, MySQL, Power BI, Presto, Python, NumPy, DSA, MongoDB, KNIME, and Predictive Modeling.

Yes. Python is one of the key technologies included in the course curriculum.

Yes. Power BI is included to help learners develop data visualisation and reporting skills.

The course can be suitable for learners who want to build data-analysis skills from a structured foundation. A willingness to learn programming and work with technical concepts will be helpful.

Yes. The course is available through online and offline learning, making it accessible to learners in Sonipat as well as those joining remotely.

The curriculum includes MySQL and MongoDB, giving learners exposure to both relational and document-oriented database technologies.

Yes. Predictive Modeling is included as part of the course curriculum, providing learners with an introduction to predictive analytical concepts.
Start Your Journey

Start Your Data Analysis Journey

Data analysis is not about learning a single software or programming language. It involves understanding data, working with different tools, finding meaningful patterns, creating useful visualisations, and communicating insights clearly. Build a broader foundation in modern data analysis with the Data Analysis Course at INT Institute and gain practical exposure to Python, R, databases, Power BI, analytical tools, and Predictive Modeling.

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