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Course Overview

Diploma in Data Science

Welcome to Central Valley Institute, where every data-driven individual gets to build their niche and advance further to spearhead innovative changes in the tech-powered world. The Diploma program is designed to equip data science enthusiasts with the techniques needed to transform almost every industry. Ideal for fresh graduates, career switchers and those seeking nuanced knowledge of data science, completing the course will open doors to exciting career opportunities. Our program focuses on building practical skills alongside exploring the theoretical fundamentals. The Capstone project featured in the program ensures every student gains in-depth data science skills and is well-versed in the intricacies of crunching data. Learn from experts, connect with industry experts, and thrive in the data market with CVI's Diploma in Data Science.

For help, give us a call: +1(321) 821-9411

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Duration

12 months

Delivery Mode

Online

Application Closes on

March 12, 2026
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Why Earn a Diploma in Data Science ?

  • Flexible Learning: Acquire high-in-demand skills at a personalized pace with 24/7 access to course materials.
  • Comprehensive Curriculum: Real-time online engagement with expert trainers, networking with peers and industry leaders.
  • Practical Training: Build technical know-how and professional depth with a blend of theory and practice.
  • Expert Faculty: Quality training at a reasonable cost.
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Program Objectives

Data Science Development Project

To enable students to cultivate practical prowess in data science development projects starting from problem analysis to designing and planning, implementing, testing, evaluating, and documenting.

Ability to select appropriate technology

Building the ability to adopt and leverage appropriate data science technology in real-world challenges.

Knowledge of Data Life Cycle

To train students in the intricate life cycle of data from evaluating to structuring to cleaning to analyzing data.

Skilled in Programming Language

To make students adept at using programming languages like Python, R, and SQL for data analysis.

Building market demand skills

Offering affordable and flexible opportunities to build market demand competencies.

Enhancing Employability

Developing technical and personal skills, thereby enhancing their chances of employment in the competitive market and advancing to higher-level roles.

Systematic knowledge of modern tools and technologies

To equip students with a comprehensive knowledge and craftiness with modern data science tools and techniques.

Data Analytical Knowledge

Go to the depth of statistical inferences including time series analysis, predictive modeling, and data reduction.

Application of Data Science across industries

Develop the skills of applying Data Science and relevant techniques to other fields for extracting insights.

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Program Highlights

Comprehensive Curriculum

Covers Data Science fundamentals and advanced concepts through a practical skill-centric curriculum.

Practical Skills

Real-world training through practical projects, case studies, simulations, and Data Science tools.

Expert Faculty

Learn from seasoned Data Science professionals and industry leaders.

Soft Skills & Career Development

Build leadership, communication skills, and job readiness.

Flexible Learning

Full-time or part-time, accessible from anywhere.

Networking

Connect with peers, alumni, and industry professionals.

Internship & Interview Prep

Gain experience and prepare thoroughly for your job hunt.

Certification Prep

Aligns with Data Science certifications.

Ethics & Sustainability

Focus on ethical Data Science practices and inclusive culture.

Advanced Studies

Pathways to further Data Science learning scope.
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What Will You Learn in the Data Science ?

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Key Concepts and Advanced Technologies
Learn data science foundational knowledge and modern technologies like AI and ML.
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Excel Skills
Develop mastery of Excel for data analysis, visualization, and informed decision-making processes across industries.
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Python
Develop essential skills for interacting with Python for effective data analysis. Become deft at handling data, analyzing, and visualizing data.
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SQL
Master the process of extracting, manipulating, and analyzing data necessary for effective decision-making by mastering SQL database.
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Statistics and Probability
Learn the intricate practical application of statistics and probability for improved decision-making.
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Machine Learning
Delve into the dynamic process of supervised and unsupervised learning alongside its fundamentals, algorithm training, and making predictions for driving information.
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Deep Learning
Explore the transformative power of Deep Learning and its simulation of the human brain, called Neural Networks, to analyze and understand complex data.
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Natural Language Processing
Deep dive into the processes of machine understanding, interpreting, and generating human language.
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Data Visualization
Master crafting compelling visual stories, transforming raw data into actionable insights using Power BI and Tableau.
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Generative AI
Learn about the latest innovation in AI as you explore Generative AI and the power behind generating creative art, content, and ideas autonomously.
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Skills You Will Develop

Analytical and Decision-Making
Analytical and Decision-Making

Making informed decisions based on the insights drawn from data.

Communication and Interpersonal Skills
Communication and Interpersonal Skills

Develop the art of communicating important findings in a compelling and easy-to-understand story.

Technical and Interpersonal Skills
Technical and Interpersonal Skills

Cultivate crucial skills like Python, R, SQL, and Data Visualization, and cultivate leadership qualities necessary on the job.

Problem-Solving Skills
Problem-Solving Skills

Develop analytical and critical thinking skills needed to identify and resolve challenging data issues.

Collaborative Skills
Collaborative Skills

Ability to collaborate with other team members and lead them to the successful execution of projects and organizational goals.

Business Acumen
Business Acumen

Ability to provide valuable insights and recommendations based on data and market trends to improve the organization's performance.

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Program Outcomes

  • Outcome Build a broad understanding and knowledge of data science and emerging technologies, including Machine Learning, Deep Learning and GenAI.

  • Outcome Gain a comprehensive knowledge of data science tools and techniques, from data lifecycle to visualization to programming tools like R, Python, Tableau, Power BI, etc.

  • Outcome Gain a thorough understanding of statistical inferences and their core principles and theories in Data science.

  • Outcome Ability to work with real-world datasets and offer valuable insights to businesses and organizations.

  • Outcome Ability to apply data science skills and knowledge across industries and be competent to land a job in a desired field.
Target Audience

Who is This Program For?

01. Aspiring Data Science Experts
02. Career Switchers
03. Recent Graduates
04. Data Science Professionals Seeking Certification
  • Individuals desiring to become Data Scientist, Data Analyst, Data S
Effect-ImageBusiness Professionals
Curriculum

Detailed Curriculum

Module 1- Introduction to Data Science and Core Technologies

  • Overview of the course and key concepts
  • Briefing on LMS and Communication channels
  • Fundamentals of Data Science and AI
  • Guidance on Software Installation Guidance-Power BI, Tableau, Jupyter Notebooks, etc
Module 2- Mastering MS Excel
Module 3- Python for Data Science
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Admission Requirements

Education

High School Diploma or equivalent required. Preferred: Background in Computer Science.

Professional Experience

Preferred but not required: Experience in Data Science-related fields.

English Proficiency

IELTS (min 5.5), TOEFL iBT (min 61), or equivalent.

Technical Requirements

Must have a computer with internet access and basic computer skills.

Application Materials

Complete the online form, Submit transcripts, Provide a personal statement (300-500 words), Resume (optional)

Interview

May be required for some applicants.

Application Fee

Non-refundable, details available on the portal.
Steps to Join

Application Process

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01
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Review Admission Requirements

Ensure that you meet all the admission requirements listed above, including educational qualifications and English language proficiency.

02
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Complete the Online Application

Fill out the application form on the Central Valley Institute’s website. Ensure that all required fields are completed accurately.

03
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Submit Required Documents

Upload your academic transcripts, personal statement, proof of English proficiency (if applicable), and any optional documents, such as resume/CV.

04
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Pay the Application Fee

Follow the instructions to pay the non-refundable application fee. Your application will not be processed until the fee is paid.

05
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Interview (If Invited)

If selected, participate in an admissions interview as scheduled by the admissions team.

06
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Await Admission Decision

Once your application is reviewed, you will be notified of the admission decision via email. Successful applicants will receive further instructions on how to enroll in the program.

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Enrollment

Upon acceptance, complete the enrollment process and attend the program orientation to get started with your studies.

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Career Prospects

Data Visualization Specialist

A professional focused on visualizing data insights through tools like Power BI, Tableau, or other visualization platforms.

Data Analyst

Responsible for analyzing and interpreting complex data to help organizations make informed decisions.

Junior Data Scientist

Entry-level role where individuals apply statistical and machine learning techniques to extract insights from data.

Reporting Analyst

Specializes in generating reports that summarize business and operational performance using data analysis techniques.

MIS Executive

Manages the Information Management System (MIS) to ensure data is accurately stored, analyzed, and reported for business operations.

Analytics Specialist

Works with data analytics tools and software to interpret data and produce actionable insights that influence business strategies.

Business Intelligence (BI) Analyst

Focuses on gathering and analyzing business data to help executives make strategic decisions using BI tools.

Data Engineer

Designs, constructs, and maintains systems and infrastructure to store, manage, and analyze large datasets.

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Recent & Upcoming Events

Most Asked Question

Frequently Asked Questions

Get answers to your questions: Explore Frequently Asked Questions to make informed decisions and resolve any doubts.

Yes. The course will prepare you in a comprehensive manner, where you not only gain theoretical knowledge but also develop practical skills to carry out data science tasks effectively. Make the most of the Capstone project and the job preparation sessions to ensure this course is worth your investment.

At Central Valley Institute, every student will be able to avail of comprehensive support, including:
  • Academic Support: Access to instructors and academic advisors for guidance and clarification on course content.
  • Technical Support: Assistance in navigating the online learning platform and resolving any technical issues.
  • Career Services: Resources and advice on career planning, resume building, and job search strategies tailored to Data science roles.

Yes, the Online Diploma in Data Science is accredited by recognized educational bodies, ensuring that the qualification is respected and valued by industry employers.

Completing the Diploma in Data Science course will open doors to various job opportunities, including:
  • Data Visualization Specialist
  • Data Analyst
  • Junior Data Scientist
  • Reporting Analyst
  • MIS Executive
  • Analytics Specialist
  • Business Intelligence (BI) Analyst
  • Data Engineer

Yes. To participate in the program, students in the online Diploma in Data Science course will require:
  • A computer or tablet with internet access.
  • Basic proficiency in using online learning tools (e.g., video conferencing, learning management systems).
  • Access to standard office software (e.g., Microsoft Office, Google Docs).

To apply for the Online Diploma in Data Science, follow these steps:
  • Visit the Central Valley Institute Website: Access the online application form under the Online Diploma in Data Science program.
  • Complete the Application Form: Provide personal details, educational background, and any relevant work experience.
  • Submit Required Documents: Upload your academic transcripts, a copy of your ID, and any other requested documents.
  • Application Review: Your application will be reviewed by the admissions team, and you will be notified of the outcome within a few weeks.
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