Online Part time Data Science Course

Tuesday, 10 February 2026 14:55:30

International Students can apply

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Online Part time Data Science Course

Overview

Online Part-time Data Science Course

Designed for working professionals and students seeking to enhance their data analysis skills, this online part-time data science course offers a flexible learning experience. Covering topics such as machine learning, data visualization, and statistical analysis, this course equips learners with the tools to excel in the field of data science. Whether you are looking to advance your career or explore a new field, this course provides the knowledge and skills needed to succeed. Join us today and unlock your potential in the world of data science!


Explore the world of data science today!

Looking to enhance your skills in Data Science without disrupting your current schedule? Our Online Part-time Data Science Course is the perfect solution for busy professionals seeking to upskill in this high-demand field. Gain hands-on experience with real-world projects, learn from industry experts, and receive personalized feedback to accelerate your learning. With flexible scheduling options, you can balance work and study effortlessly. Upon completion, unlock a world of career opportunities in data analysis, machine learning, and artificial intelligence. Don't miss out on this chance to future-proof your career with our comprehensive Data Science course. Apply now! (13)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Introduction to Data Science
• Data Cleaning and Preprocessing
• Exploratory Data Analysis
• Statistical Analysis
• Machine Learning Algorithms
• Model Evaluation and Validation
• Data Visualization
• Big Data Technologies
• Natural Language Processing
• Deep Learning techniques

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

6 months: GBP £1250
9 months: GBP £950
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

6 months - GBP £1250

9 months - GBP £950

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Accreditation

 Awarded by an OfQual regulated awarding body

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Opportunity Description
Data Analyst Utilize data analysis tools to interpret and present data for business decision-making. Primary keywords: Data Analyst, Data Analysis. Secondary keywords: Data Visualization, SQL.
Machine Learning Engineer Develop and deploy machine learning models to solve complex business problems. Primary keywords: Machine Learning Engineer, Machine Learning. Secondary keywords: Python, TensorFlow.
Business Intelligence Developer Create interactive dashboards and reports to help organizations make data-driven decisions. Primary keywords: Business Intelligence Developer, Dashboards. Secondary keywords: Power BI, Tableau.
Data Scientist Apply statistical analysis and machine learning techniques to extract insights from data. Primary keywords: Data Scientist, Statistical Analysis. Secondary keywords: R, Python.
Data Engineer Design and maintain data pipelines to ensure efficient data processing and storage. Primary keywords: Data Engineer, Data Pipelines. Secondary keywords: Hadoop, Spark.

Key facts about Online Part time Data Science Course

This Online Part-time Data Science Course is designed to equip students with the necessary skills to analyze and interpret complex data sets. Participants will learn how to use various tools and techniques to extract valuable insights from data, making informed decisions for businesses and organizations. The course covers topics such as data visualization, machine learning, and statistical analysis.
The duration of the course is typically 6-12 months, depending on the pace of study and individual commitments. Students can access the course materials online at their convenience, allowing for flexibility in learning. The curriculum is structured to provide a comprehensive understanding of data science concepts and practical applications in real-world scenarios.
Industry relevance is a key focus of this course, with a curriculum designed in collaboration with industry experts to ensure students are equipped with the latest skills and knowledge demanded by employers. Graduates of the program can pursue careers in various industries such as finance, healthcare, marketing, and technology, where data-driven decision-making is crucial. The course also includes hands-on projects and case studies to enhance practical skills and build a strong portfolio for job applications.

Why this course?

The demand for data science skills in the UK job market has been steadily increasing, with a 56% rise in job postings for data scientists in the past year alone. This surge in demand can be attributed to the growing importance of data-driven decision making in businesses across various industries. As a result, professionals are increasingly seeking to upskill or reskill in data science to stay competitive in the job market. An Online Part time Data Science Course offers a flexible and convenient way for individuals to acquire the necessary skills and knowledge in data science while balancing their work and personal commitments. This mode of learning allows learners to study at their own pace and from anywhere, making it accessible to a wider audience. By enrolling in an Online Part time Data Science Course, individuals can gain expertise in areas such as data analysis, machine learning, and data visualization, which are highly sought after by employers. This can significantly enhance their career prospects and earning potential in the competitive job market. Overall, the significance of an Online Part time Data Science Course in today's market cannot be overstated, as it provides a valuable opportunity for professionals to stay relevant and advance in their careers amidst the increasing demand for data science skills. | UK Job Postings for Data Scientists | 56% increase | |--------------------------------------|--------------|

Who should enrol in Online Part time Data Science Course?

Ideal Audience for Online Part-time Data Science Course | Criteria | Description | |-------------------|-----------------------------------------------------------------------------| | Job Seekers | Individuals looking to enhance their skills and increase job prospects. | | Working Professio | Professionals seeking to upskill and advance their career in data science. | | Students | Students interested in gaining practical knowledge alongside their studies. | | UK-specific Stats | According to a recent survey, the demand for data scientists in the UK has | | | increased by 231% in the past year, making it an ideal time to pursue this | | | career path. | The ideal audience for our Online Part-time Data Science Course includes job seekers, working professionals, and students who are looking to enhance their skills, advance their careers, or gain practical knowledge in the field of data science. In the UK, the demand for data scientists has seen a significant increase, making it a lucrative career path to pursue. Whether you are looking to enter the job market, progress in your current role, or supplement your studies, this course is designed to meet your needs and help you succeed in the ever-growing field of data science.