Certificate in Python Programming for Data Science

Sunday, 24 August 2025 19:29:57

International applicants and their qualifications are accepted

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Overview

Overview

Python Programming for Data Science

Learn the fundamentals of Python programming and unlock the power of data science with our Certificate in Python Programming for Data Science.


Designed for beginners and intermediate learners, this course covers the essential concepts of Python programming, data structures, and data analysis.


Gain hands-on experience with popular libraries like NumPy, pandas, and Matplotlib, and develop skills in data visualization, machine learning, and more.


Our expert instructors will guide you through interactive exercises and projects, ensuring you're ready to apply your knowledge in real-world scenarios.


Take the first step towards a career in data science and boost your career prospects with this comprehensive certificate program.

Python is the backbone of data science, and this Certificate in Python Programming for Data Science will equip you with the skills to harness its power. Learn to extract insights from complex data sets, build predictive models, and create data visualizations that tell a story. With Python, you'll unlock a world of career opportunities in data analysis, machine learning, and scientific computing. This course covers unique features like data manipulation, visualization, and modeling, ensuring you're job-ready. Upon completion, you'll have a solid foundation in Python programming and be able to apply it to real-world data science projects, opening doors to exciting career prospects in top companies.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

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 Types in Python • Control Structures (if-else, for loops, while loops) • Functions and Modules • Object-Oriented Programming (OOP) Concepts • Data Structures (lists, tuples, dictionaries, sets) • File Input/Output Operations • Regular Expressions • Data Cleaning and Preprocessing • Machine Learning Fundamentals (supervised, unsupervised learning) • Data Visualization with Matplotlib and Seaborn

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:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

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

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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.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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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

Key facts about Certificate in Python Programming for Data Science

The Certificate in Python Programming for Data Science is a comprehensive course that equips learners with the necessary skills to work with Python, a popular programming language used extensively in data science.
This certificate program focuses on teaching learners how to use Python for data analysis, machine learning, and visualization, making it an ideal choice for those looking to break into the data science industry.
Upon completion of the course, learners can expect to gain a solid understanding of Python programming concepts, including data structures, file input/output, and data visualization tools like Matplotlib and Seaborn.
The course also covers popular data science libraries like Pandas, NumPy, and Scikit-learn, providing learners with hands-on experience in data manipulation, analysis, and modeling.
The duration of the certificate program varies depending on the institution offering it, but most programs take around 3-6 months to complete.
Industry relevance is high for this certificate, as Python is widely used in data science and machine learning applications across various industries, including finance, healthcare, and retail.
Learners who complete this certificate program can expect to find job opportunities in data science, business intelligence, and analytics, with salaries ranging from $60,000 to over $120,000 depending on location and experience.
Overall, the Certificate in Python Programming for Data Science is a valuable investment for anyone looking to launch or advance their career in data science.

Why this course?

Python Programming has become an essential skill for Data Scientists in the UK, with a significant demand in the job market. According to a survey by the UK's Data Science Council of America, the demand for Python developers is expected to increase by 15% by 2025, with an average salary of £60,000 per annum.
Year Job Openings Average Salary (£)
2020 10,000 55,000
2021 12,000 60,000
2022 15,000 65,000
2023 18,000 70,000

Who should enrol in Certificate in Python Programming for Data Science?

Primary Keyword: Data Science Ideal Audience
Professionals and students in the UK looking to upskill in data analysis and machine learning, with a focus on Python programming, are the primary target audience for this Certificate. Key characteristics include:
- Age: 25-45 years old - Education: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
- Industry: Finance, Healthcare, Retail, and Technology - Career goals: Data Analyst, Data Scientist, Business Analyst, or related roles
- Prior experience: Basic understanding of programming concepts and data structures - Learning style: Self-paced online courses, group training sessions, or mentorship programs