Diploma in Data science

Data science is an interdisciplinary subject that employs scientific techniques, procedures, algorithms, and systems to extract information and insights from structured and unstructured data, and then applies that information and actionable insights across a wide range of application areas.

Level

Diploma

Pre-Requisites

10th

Duration

9 Months

Platform

Our platform is designed to provide a seamless and interactive learning experience. Here’s what you can expect:
Learning Management System (LMS) :
Interactive Learning Environment
Our LMS offers an intuitive interface where you can access all your course materials, participate in discussions, and track your progress.
Comprehensive Course Materials
Access Video Lectures, Reading Materials, Quizzes, and Assignments all in one place.
24/7 Accessibility
Learn at your own pace, anytime, anywhere. Our platform is available 24/7 to fit your schedule.
Progress Tracking
Monitor your learning progress with detailed analytics and reports. Keep track of your achievements and milestones.
Image

Diploma in Data science

    Syllabus

    • Introduction to Data Science
    • Python Programming
    • Data Wrangling and Visualization
    • Machine Learning for Data Science

Projects

Learn through real-life industry projects sponsored by top companies across industries

Hands-On Projects: Apply What You Learn

We believe in learning by doing. That’s why each of our programs includes hands-on projects that allow you to apply your knowledge in real-world scenarios. Here’s how our project-based learning works.

Choose Your Topic :

Select a Relevant Topic : Each student has the opportunity to choose a project topic that aligns with their interests and career goals. This ensures that the project is meaningful and beneficial to your professional development.

Guidance and Support : Don’t worry if you’re unsure about which topic to choose. Our instructors and support team are here to help you select a topic that is both relevant and challenging.

Project Work

Real-World Application

Work on real-world projects that require you to apply the concepts and skills you’ve learned throughout the course. This hands-on experience is invaluable in preparing you for your career.

Collaborative Learning

Some projects may involve collaboration with fellow students, fostering teamwork and communication skills.

Instructor Feedback

Receive constructive feedback from instructors to improve your work and ensure you are on the right track.

Showcase Your Work

Upon completion, you’ll have a comprehensive project that you can showcase in your portfolio to potential employers.

Learning Outcomes

Achieve targeted learning outcomes with courses designed to build essential skills and knowledge.
Understand the fundamentals of data science, including data collection and cleaning.
Develop skills in data visualization and statistical analysis.
Gain knowledge of machine learning algorithms and their applications.
Learn how to use programming languages such as Python and R for data analysis.
Master the use of data tools like SQL, Hadoop, and Spark.
Understand data-driven decision-making processes.
Learn how to interpret and present data insights to stakeholders.
Develop critical thinking for solving complex business problems using data.
Gain knowledge of data ethics and privacy regulations.
Learn practical applications of AI in data science.
Learning Outcomes

Career Opportunities

Gain key expertise for diverse career opportunities across multiple sectors.
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Data Engineer
Statistician
Analytics Consultant
Data Visualization Specialist
AI Researcher
Big Data Analyst
Learning Outcomes

Industry Application

Develop in-demand skills with courses tailored for industry-specific success.
Technology: Developing AI-driven recommendations for e-commerce platforms.
Finance: Analyzing market trends for investment strategies.
Healthcare: Predictive analytics for patient treatment outcomes.
Retail: Analyzing consumer data to improve marketing strategies.
Telecommunications: Optimizing network performance through data analytics.
Manufacturing: Predicting equipment failures using machine learning.
Government: Using big data for public policy decisions.
Transportation: Optimizing logistics and routes through data analysis.
Education: Using data to improve student outcomes and curriculum design.
Entertainment: Personalizing user experiences through data-driven content recommendations.
Learning Outcomes

Admission Process

There are 6 simple steps in the Admission Process which is detailed below:

STEP - 01

Application

STEP - 02

Fee Payment

STEP - 03

Confirmation of Enrolment

STEP - 04

Getting LMS Access

STEP - 05

Examination

STEP - 06

Certification

Frequently Asked Questions

ISBM provides flexible study options, including online and distance learning programs. These options enable students to learn at their convenience, making them ideal for working professionals and those with other commitments.

Yes, ISBM’s courses are widely recognized and developed to align with industry standards.

ISBM is dedicated to supporting online learners with resources like academic advisors,, online Learning Management System (LMS) for accessing study materials, submitting assignments.

Yes, ISBM provides placement assistance, career counseling, and access to a network of potential employers.

Exams are typically conducted online.

ISBM provides flexible study options, including online and distance learning programs. These options enable students to learn at their convenience, making them ideal for working professionals and those with other commitments.

Yes, ISBM’s courses are widely recognized and developed to align with industry standards. For specific program accreditations and recognitions, check the course details or contact ISBM’s admissions office.

Yes, ISBM offers installment-based payment options to make education more affordable. You can view installment plans on the course page or reach out to admissions for detailed payment options.

ISBM is dedicated to supporting online learners with resources like academic advisors, a student support team, and an online Learning Management System (LMS) for accessing study materials, submitting assignments, and engaging with instructors.

Yes, ISBM provides placement assistance, career counseling, and access to a network of potential employers. Students also benefit from skill development workshops to enhance their career prospects.

Yes, ISBM welcomes international students to apply. Courses are accessible online, and dedicated support is available to address any unique requirements international students may have.

Yes, ISBM has a strong alumni network that provides valuable connections and networking opportunities. Alumni participate in webinars, mentorship programs, and events to support and guide current students.

Copyright ©ISBM Institute , 2024. All Rights Reserved