UK: 80a Ashfield Street, Unit 4, London, England, E1 2BJ
Professional Diploma

Professional Data Science

ISM Education

10-12 Months
100% Online
Professional Level

Course Overview

This Professional Diploma in Data Science provides practical training in data analysis, visualization, statistical modeling, and machine learning. Students gain hands-on experience with industry-standard tools and real-world datasets.

Key Features

Python for Data Science
Statistical Analysis & Modeling
Data Visualization
Machine Learning Fundamentals

Assessment Methods

  • Capstone project (40%)
  • Practical assignments and case studies (35%)
  • Written examinations (15%)
  • Technical presentations (10%)

Course Curriculum

Our comprehensive curriculum is designed to provide you with both theoretical knowledge and practical skills.

Module 1

Python Programming for Data Science

NumPy, Pandas, and data manipulation techniques

15 Credits
Module 2

Statistics for Data Science

Descriptive and inferential statistics, hypothesis testing

15 Credits
Module 3

Data Visualization

Matplotlib, Seaborn, Tableau, and dashboard design

10 Credits
Module 4

Machine Learning

Supervised and unsupervised learning algorithms

20 Credits
Module 5

SQL & Database Management

Data querying, joins, and database operations

10 Credits
Module 6

Big Data & Cloud Platforms

Introduction to Spark, AWS, and scalable data processing

10 Credits
Module 7

Capstone Project

End-to-end data science project with real data

20 Credits
Total Credits: 100

Learning Outcomes

Upon successful completion of this program, you will be able to:

1

Analyze and process data using Python and R

2

Create compelling data visualizations and dashboards

3

Apply statistical methods to analyze business problems

4

Build and evaluate machine learning models

5

Communicate data insights to stakeholders

6

Work with big data tools and cloud platforms

Entry Requirements

To be eligible for this program, applicants must meet the following requirements:

  • Bachelor's degree or equivalent work experience
  • Basic programming knowledge helpful but not required
  • Mathematical aptitude
  • English language proficiency
Alternative Entry Routes: If you don't meet the standard entry requirements, we offer alternative pathways. Contact our admissions team to discuss your options.

Your Instructor

Dr. Priya Sharma

Data Science Lead

Dr. Sharma has 10 years of experience in data science and analytics, working with Fortune 500 companies on ML and AI projects.

Student Testimonials

"This program gave me the practical skills I needed to transition into data science. The capstone project was instrumental in landing my current role."

Alex Turner Professional Diploma Data Science Graduate

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