Advanced Certificate in Data Science for Newcomers

Sunday, 22 February 2026 10:30:34

International applicants and their qualifications are accepted

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Overview

Overview

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Advanced Certificate in Data Science for Newcomers is designed for individuals with little to no prior experience in data science.


This intensive program provides a strong foundation in data analysis, machine learning, and data visualization.


Learn essential tools like Python and R. Gain practical skills through hands-on projects.


The Advanced Certificate in Data Science for Newcomers accelerates your career transition into this high-demand field.


Develop in-demand data science skills. Data Science is the future, and this certificate opens doors.


Enroll today and transform your career! Explore the program details now.

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Data Science for Newcomers: Launch your career with our Advanced Certificate! This intensive program provides hands-on training in Python programming, machine learning, and data visualization. Gain in-demand skills in data analysis and big data technologies. Accelerate your career prospects in a rapidly growing field. Our unique curriculum features real-world projects and mentorship from industry experts. Secure a rewarding data science role with a recognized certificate, demonstrating your expertise. Unlock your potential – enroll today!

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

• Introduction to Data Science and its Applications
• Programming for Data Science using Python (including Pandas, NumPy, and Scikit-learn)
• Data Wrangling and Preprocessing (Data Cleaning, Feature Engineering, Handling Missing Values)
• Data Visualization and Storytelling with Tableau/Power BI
• Statistical Inference and Hypothesis Testing
• Machine Learning Algorithms and Model Selection (Regression, Classification, Clustering)
• Big Data Technologies and Frameworks (Spark, Hadoop - optional depending on curriculum focus)
• Data Ethics and Privacy (Addressing bias, responsible AI)
• Capstone Project: Data Science Portfolio Development (Building a complete data science project)
• Deployment and Presentation of Data Science Projects (Cloud deployment, report writing)

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

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Data Science) Description
Data Scientist (Machine Learning) Develops and implements machine learning algorithms; strong analytical and problem-solving skills are crucial. High demand.
Data Analyst (Business Intelligence) Collects, cleans, and interprets data to provide business insights; excellent communication skills required. Growing demand.
Data Engineer (Big Data) Builds and maintains data pipelines and infrastructure; expertise in big data technologies is essential. High salary potential.
Data Visualization Specialist Creates compelling visualizations to communicate data insights; proficiency in tools like Tableau or Google Charts is a plus. Increasing demand.
Machine Learning Engineer Develops, deploys, and manages machine learning models in production environments. High salary and in-demand.

Key facts about Advanced Certificate in Data Science for Newcomers

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The Advanced Certificate in Data Science for Newcomers is designed to equip individuals with no prior experience in data science with the foundational skills and knowledge needed to launch a successful career in this rapidly growing field. This intensive program focuses on practical application, ensuring graduates are prepared for entry-level roles.


Learning outcomes include proficiency in programming languages like Python and R, statistical analysis techniques, machine learning algorithms, and data visualization tools. Students will also gain experience working with large datasets and develop strong problem-solving abilities critical for a data scientist. The curriculum emphasizes data wrangling, model building, and deployment.


The program typically runs for approximately six months, balancing theoretical learning with hands-on projects and real-world case studies. This structured approach facilitates rapid skill acquisition and allows participants to build a compelling portfolio showcasing their expertise in data science. The program includes a capstone project providing valuable experience and a showcase of learned skills.


This Advanced Certificate in Data Science for Newcomers is highly relevant to various industries currently experiencing a high demand for skilled data professionals. Graduates will find opportunities in sectors such as finance, healthcare, technology, and marketing. The skills gained are transferable and valuable across numerous organizations, regardless of their specific industry focus. The program's focus on practical application and real-world case studies ensures graduates are prepared for immediate employment. This boosts career prospects and ensures a strong return on investment.


The curriculum incorporates big data technologies, cloud computing, and database management, ensuring graduates are well-versed in modern data science tools and techniques. This makes them immediately employable in various data-driven organizations which use these technologies. The program also emphasizes ethical considerations in data science. This is becoming increasingly important in the field.

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Why this course?

An Advanced Certificate in Data Science is increasingly significant for newcomers navigating the UK's competitive job market. The demand for data scientists is booming; according to the Office for National Statistics, the digital technology sector added over 160,000 jobs between 2017 and 2022, with data science roles a major component. This growth is driven by the ever-increasing reliance on data analytics across all industries, from finance and healthcare to retail and technology.

This certificate provides the necessary skills and knowledge to bridge the gap between academic learning and practical application, making graduates highly sought-after. Data science professionals with this advanced qualification often possess superior proficiency in programming languages like Python and R, and in big data technologies such as Hadoop and Spark. Furthermore, the UK government’s continued investment in digital infrastructure and its promotion of AI-driven innovation further fuels the demand for skilled data scientists.

Job Role Approximate Annual Salary (GBP)
Data Scientist 45,000 - 80,000
Data Analyst 35,000 - 65,000

Who should enrol in Advanced Certificate in Data Science for Newcomers?

Ideal Candidate Profile for Advanced Certificate in Data Science for Newcomers Characteristics
Career Changers Individuals seeking a rewarding career transition, perhaps from sectors experiencing job losses. With the UK's digital sector booming, data science offers a viable and high-demand alternative. (Source: *Insert relevant UK statistic on job growth in data science here*)
Graduates Recent graduates with a quantitative background (e.g., mathematics, statistics) looking to specialize in data science and gain practical skills in machine learning and data analysis.
Professionals Working professionals aiming to upskill and enhance their career prospects within their existing field by incorporating data-driven decision making and business intelligence techniques.
Enthusiasts Individuals with a genuine passion for data, analytics, and programming, eager to transform their interest into a professional skillset. The course provides the foundation for a data scientist career path.