Data Analytics – Preet Vihar

A Data Analytics course is a structured learning program designed to teach students how to collect, clean, analyse, and interpret data to support decision-making in businesses and organizations.

The course introduces learners to the entire data lifecycle—starting from understanding different types of data, how it is generated, and how to store it, to performing meaningful analysis that uncovers trends, patterns, and insights.

Students learn essential tools such as Excel, SQL, Python, and visualization platforms like Power BI or Tableau, which help them work with real-world datasets.

The course also covers fundamental concepts like statistics, data cleaning, exploratory data analysis (EDA), machine learning basics, and business intelligence reporting, allowing learners to develop both technical and analytical thinking skills.

 By the end of the course, learners are equipped to solve business problems using data, build dashboards, create predictive models, and communicate insights effectively. A Data Analytics course prepares individuals for roles such as Data Analyst, Business Analyst, Data Scientist (entry-level), BI Analyst, and many other data-driven careers in today’s digital economy.

Students from any academic stream—Science, Commerce, or Arts—who have completed their 10+2 (higher secondary education) are eligible to enrol in basic or beginner-level Data Analytics courses.

These introductory certificate programs do not require advanced knowledge of mathematics or programming, making them suitable for school pass-outs who want to explore the field.

Students who wish to take diploma courses in Data Analytics should also have completed their 10+2, preferably with subjects like Mathematics, Statistics, or Computer Science.

 Having these subjects is not always mandatory but helps students better understand analytical concepts and logical problem-solving techniques used in data analysis.

Data Analytics has a wide scope because almost every industry now relies on data to make better decisions. Companies need skilled analysts to understand trends and improve performance.

The demand for data analysts is growing in fields like IT, finance, healthcare, marketing, and e-commerce. This creates many job opportunities with good salaries.

Data analysts can work in roles such as Data Analyst, Business Analyst, Data Scientist, or Visualization Specialist. These roles are essential for helping companies solve real-world problems.

With the rise of automation and digital transformation, organizations want professionals who can interpret data quickly and accurately. This makes Data Analytics a stable and future-proof career.

The scope is also strong globally, allowing students to work in India or abroad. With experience, analysts can move into leadership roles like Analytics Manager or Data Consultant.

Experience Faculty:  Experienced and qualified faculty members or industry trainers are a major speciality. Their guidance helps students understand real business problems and practical applications of data analysis

well-structured curriculum: our institute offers a well-structured curriculum that covers all essential topics like statistics, programming, and data visualization. This ensures students learn from the basics to advanced concepts smoothly.

Hands-on training: The institute provides hands-on training with real datasets so students gain practical experience. This makes them job-ready and confident in using industry tools like Excel, SQL, and Python.

modern computer labs: The institute also offers modern labs, updated software, and learning resources. These facilities make practice easier and help students build strong technical skills.

placement assistance, and career guidance: our institute offers internships, placement assistance, and career guidance. Strong industry connections increase job opportunities after completing the course.