Professional Certificate in Data Science Fundamentals
Tuesday, 18 August 2026 05:50:02
International applicants and their qualifications are accepted
Overview
Overview
Data Science Fundamentals
Unlock the power of data-driven decision making with our Professional Certificate in Data Science Fundamentals.
Designed for professionals and individuals new to the field, this program provides a solid foundation in data science principles, including data wrangling, visualization, and machine learning.
Learn to extract insights from complex data sets and communicate findings effectively to stakeholders.
Gain practical skills in tools like Python, R, and SQL, and apply them to real-world projects.
Take the first step towards a career in data science and explore our program today!
Content updated: 21 August 2025
Data Science Fundamentals is the foundation upon which a successful career in this field is built. By enrolling in our Professional Certificate program, you'll gain a comprehensive understanding of the key concepts and techniques that drive data-driven decision making. With Data Science Fundamentals, you'll learn to extract insights from complex data sets, develop predictive models, and communicate findings effectively. This course offers Data Science Fundamentals skills that are highly sought after by top employers, leading to exciting career opportunities in finance, healthcare, and more. Upon completion, you'll be equipped to tackle real-world challenges and drive business growth.
Entry requirements
International applicants and their qualifications are accepted.
Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.
At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.
Course Content
- Data Preprocessing and Cleaning
- Data Visualization with Python and Matplotlib
- Introduction to Machine Learning Fundamentals
- Supervised Learning Algorithms (Linear Regression, Decision Trees, etc.)
- Unsupervised Learning Algorithms (Clustering, Dimensionality Reduction, etc.)
- Deep Learning Fundamentals (Neural Networks, Convolutional Neural Networks, etc.)
- Natural Language Processing (Text Preprocessing, Sentiment Analysis, etc.)
- Data Mining and Predictive Analytics
- Big Data and NoSQL Databases
- Ethics and Responsible AI Practices
Assessment
The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.
Fee and Payment Plans
30 to 40% Cheaper than most Universities and Colleges
Duration & course fee
The programme is available in two duration modes:
2 months (Standard mode): £90
1 month (Fast-track mode) - £140
2 months (Standard mode) - £90
Awarding body
The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.Start Now
- Start this course anytime from anywhere.
- 1. Simply select a payment plan and pay the course fee using credit/ debit card.
- 2. Course starts
- Start Now
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Key facts about Professional Certificate in Data Science Fundamentals
This program focuses on providing learners with a solid foundation in data science concepts, including data preprocessing, machine learning, and visualization.
Upon completion of the program, learners can expect to gain the following learning outcomes:
- Develop a deep understanding of data science concepts and techniques
- Learn how to collect, process, and analyze large datasets
- Gain hands-on experience with popular data science tools and technologies such as Python, R, and SQL
- Develop skills in machine learning and predictive modeling
- Learn how to communicate insights and results effectively to both technical and non-technical stakeholders
The duration of the Professional Certificate in Data Science Fundamentals is typically 4-6 months, with learners completing a series of online courses and projects.
The program is designed to be flexible and can be completed at the learner's own pace, making it ideal for working professionals who want to upskill or reskill in data science.
The Professional Certificate in Data Science Fundamentals is highly relevant to the industry, with data science being a highly sought-after skill in today's job market.
Many top companies, including Google, Amazon, and Microsoft, are looking for data scientists and analysts to join their teams, making this program an excellent investment for those looking to launch or advance their careers in data science.
Upon completion of the program, learners can expect to see significant improvements in their job prospects and salary potential, with data scientists and analysts earning an average salary of over $118,000 per year in the United States alone.
Why this course?
| Year | Percentage Growth |
|---|---|
| 2020 | 10% |
| 2021 | 12% |
| 2022 | 15% |
| 2023 | 18% |
| 2024 | 20% |
| 2025 | 22% |
| 2026 | 25% |
| 2027 | 28% |
| 2028 | 30% |
Who should enrol in Professional Certificate in Data Science Fundamentals?
| Data Science Fundamentals | Ideal Audience |
| Professionals and individuals interested in a career in data science, machine learning, and artificial intelligence | Typically have a bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or engineering |
| Those looking to upskill or reskill in data science, data analysis, and visualization | In the UK, this could include individuals from various industries such as finance, healthcare, marketing, and government, with an estimated 14,000 new data science jobs created annually (Source: Royal Society of Arts) |
| Business analysts, data analysts, and data engineers seeking to expand their skill set | The demand for data science professionals in the UK is expected to grow by 45% by 2028, outpacing the average for all occupations (Source: Office for National Statistics) |