Data Science and Analytics

5.0
(2)
1497 Enrolled
45 hours

About Course

πŸŽ“ Short Online Diploma in Data Science and Analytics

(Internationally Accredited | 45 CPD Points | 3-Month Program)

Unlock the power of data and transform your career with our Short Online Diploma in Data Science and Analytics, an expertly designed program that equips learners with the foundational knowledge and hands-on skills required in today’s data-driven world. This diploma is a globally recognized qualification, accredited by CA Worldwide (UK) and the CPD Index, and awards 45 CPD points upon successful completion.


πŸ“š Course Overview

Data is at the heart of decision-making in every modern organization. Our 45-hour self-paced program offers a comprehensive introduction to data science, machine learning, statistical analysis, and data visualizationβ€”making it ideal for students, job seekers, working professionals, and entrepreneurs alike.

Whether you’re preparing for a role in data analysis, business intelligence, or AI-powered innovation, this diploma will provide the critical tools, techniques, and industry insights to help you thrive in high-demand sectors across the globe.


βœ… What You Will Learn

πŸ”Ή Core principles of Data Science & Data Analytics
πŸ”Ή How to work with structured & unstructured data
πŸ”Ή Exploratory Data Analysis (EDA) using tools like Python & Excel
πŸ”Ή Machine Learning algorithms: regression, classification, clustering
πŸ”Ή Data visualization using Tableau, Power BI, and Matplotlib
πŸ”Ή Real-world data project workflows and reporting
πŸ”Ή Interpreting analytics for business decision-making
πŸ”Ή Ethics and governance in data usage


πŸ• Course Duration & Commitment

  • Total Learning Hours: 45 Hours

  • Recommended Duration: 3 Months (Flexible Schedule)

  • Mode of Delivery: 100% Online, Self-Paced

  • Access: Lifetime access to all course materials

  • Final Assessment: Online Project/Quiz for Certification


πŸ… Certification & Recognition

Upon successful completion, learners will be awarded an Internationally Accredited Diploma Certificate, endorsed by:

  • CA Worldwide (UK Accreditation Board)

  • CPD Index, offering 45 CPD Points (Continuing Professional Development)

This certification enhances your professional profile globally, supports career advancement, and qualifies you for CPD-recognized roles and performance appraisals across industries.


πŸ‘©πŸ»β€πŸ’» Who Should Enroll

This course is ideal for:

  • Aspiring Data Scientists and Analysts

  • IT Professionals and Software Developers

  • Business Analysts and Decision-Makers

  • Students from Engineering, Mathematics, Economics, or Business

  • Anyone seeking a career switch into a future-proof domain


πŸ” Career Outcomes

Gain the credentials and practical skills to apply for roles such as:

  • Data Analyst

  • Business Intelligence Analyst

  • Data Scientist (Entry-Level)

  • Machine Learning Associate

  • Research Assistant (Quantitative Fields)


🌐 Why Choose This Diploma?

βœ” Internationally Accredited
βœ” 45 CPD Points
βœ” 100% Online & Flexible
βœ” Practical, Job-Oriented Curriculum
βœ” Industry-Relevant Tools & Case Studies
βœ” Ideal for Beginners & Intermediates


Start your journey into the future of tech, business, and innovation with confidence.
Enroll now and become a certified Data Science professional in just 3 months.

Show More

What Will You Learn?

  • Understand the fundamentals of Data Science and Data Analytics
  • Work with structured and unstructured data formats
  • Perform data cleaning, transformation, and preprocessing
  • Conduct Exploratory Data Analysis (EDA) using Python and Excel
  • Build and evaluate Machine Learning models (regression, classification, clustering)
  • Create compelling data visualizations using Tableau, Power BI, and Matplotlib
  • Interpret data insights to support strategic business decisions
  • Apply statistical techniques for trend and pattern analysis
  • Develop complete data workflows from raw data to final report
  • Understand ethical considerations and data governance in analytics
  • Gain hands-on experience with real-world datasets and projects
  • Learn to present data-driven insights to non-technical stakeholders

Requirements

  • No prior coding or data science experience required
  • Basic familiarity with spreadsheets (Excel or Google Sheets) is helpful
  • Access to a computer or laptop with internet connectivity
  • Willingness to learn tools like Python, Tableau, and Power BI (guided tutorials provided)
  • Self-paced learningβ€”complete modules anytime within 3 months
  • Complete all lessons and final assessments to receive the diploma
  • Use recommended browsers like Chrome or Firefox for best experience
  • Access to downloadable resources and project files included in the course
  • Option to reach out to course support for technical or academic queries
  • Certificate is awarded only after 100% course completion and passing the final project or quiz

Audience

  • Aspiring data analysts and data scientists
  • Students from engineering, computer science, business, economics, or mathematics backgrounds
  • Professionals seeking to switch careers into data science or analytics
  • IT professionals and software developers looking to upskill
  • Business analysts and decision-makers wanting to enhance data-driven decision-making
  • Entrepreneurs and startup founders aiming to leverage data for growth
  • Researchers and academic professionals interested in applied data methods
  • Marketing and finance professionals who work with large datasets
  • Job seekers looking to add an internationally accredited certification to their resume
  • Anyone with an interest in data and a desire to future-proof their career

Course Content

Live Lessons

  • Saturday Live Classes (2 Hours Live Sessions)
  • Sunday Live Classes (2 Hours Live Sessions)

Final Project

Student Query

Instructors

Scholastia (Training Provider)

Scholastia (Training Provider)

4.7
1497 Students
14 Courses

Feedback

5.0
Total 2 Ratings
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Reviews (2)

  1. BR

    Bijit Rabha

    3 months ago
    Useful practical course πŸ‘πŸ»
  2. Dhriti Basak

    Dhriti Basak

    3 months ago
    Thoroughly enjoyed.

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