Post Graduate Diploma in Data Science

Course Overview

The Post Graduate Diploma in Data Science (PGD in Data Science) at the Indian School of Technology and Management (ISTM) is designed to provide students with a comprehensive understanding of data science techniques, tools, and methodologies. This program equips students with the skills needed to handle vast amounts of data, analyze it for actionable insights, and make data-driven decisions. Key areas of study include statistical analysis, machine learning, big data technologies, data visualization, and predictive modeling. Students gain hands-on experience working with real-world data sets and utilizing popular data science tools such as Python, R, and SQL, preparing them for various roles in data-centric industries.

At ISTM, the PGD in Data Science offers a blend of theoretical knowledge and practical applications. Students participate in industry projects and case studies, allowing them to tackle real-world business challenges through data analysis. Whether students are looking to enhance their data literacy or transition into the field of data science, this program prepares them to be competitive in todays data-driven world.

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  • Duration6 Months
  • Eligibility10th or equivalent
  • LevelPost Graduate Diploma

Course Content:

  • Introduction to Data Science
  • Python Programming
  • Data Wrangling and Visualization
  • Machine Learning for Data Science
  • Big Data Technologies
  • Business Intelligence and Data Analytics

Educational Goals:

  • Statistical Data Analysis

    Learn how to apply statistical methods to analyze data and make informed business decisions.

  • Machine Learning Techniques

    Gain expertise in machine learning algorithms and their applications for predictive analytics and pattern recognition.

  • Big Data Technologies

    Understand and work with big data platforms like Hadoop and Spark to manage and analyze large-scale datasets.

  • Data Visualization

    Develop skills in data visualization tools like Tableau and Power BI to effectively communicate insights from data.

  • Programming for Data Science

    Master programming languages such as Python and R for data manipulation, analysis, and model development.

  • Data-Driven Decision Making

    Learn how to interpret data and apply it in real-world business scenarios to drive strategic decisions.

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Professional Paths:

  • Data Scientist

    Analyze and interpret large datasets, creating models and algorithms to solve complex problems and predict outcomes.

  • Data Analyst

    Examine data to identify trends, patterns, and insights that inform business strategies and improve performance.

  • Machine Learning Engineer

    Build and implement machine learning models for automating tasks and improving business processes.

  • Business Intelligence Analyst

    Utilize data to provide insights that help organizations improve decision-making and identify growth opportunities.

  • Big Data Engineer

    Design, develop, and maintain big data infrastructures and frameworks for processing massive datasets.

  • Data Visualization Specialist

    Create interactive visualizations to present complex data in a simple, understandable format for decision-makers.

There are 3 simple steps in the Admission Process which is detailed below:

Admission Process

Application and Document Submission

Fill the application form and submit/post it to any ISBM centre. Include attested photocopies of mark sheets, two latest photographs, and work experience certificate(s).

Fees Payment

Payment can be made in Cash, cheque/Demand Draft, Credit Card, Online Bank Transfer.

Confirmation and Enrollment

After document submission and fee payment, your application will be processed.

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FAQ's

Get Every General Answers From Here

ISTM is known for its distinctive approach that integrates technology and management education. The institute emphasizes a holistic learning experience that equips students with both technical expertise and managerial skills, preparing them for dynamic careers in modern industries.
ISTM has specific admission criteria for different programs, typically including academic qualifications, and sometimes work experience. Prospective students should regularly check the institute's official website for updated eligibility criteria and admission processes.
The institute provides comprehensive study materials, online resources, and continuous support from academic advisors. Additionally, periodic assessments and examinations are conducted to evaluate students' progress and ensure learning outcomes are met.
Pursuing distance learning with ISTM offers several advantages, including flexibility in scheduling, allowing students to balance their studies with professional and personal commitments. Additionally, students have access to quality education from experienced faculty members, industry-relevant curriculum, and networking opportunities with fellow professionals.
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