Certificate in Predictive Analytics and AI

Tuesday, 10 February 2026 22:45:06

International applicants and their qualifications are accepted

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Overview

Overview

**Predictive Analytics and AI**

Unlock the power of data-driven decision making with our Certificate in Predictive Analytics and AI.

Designed for data enthusiasts and professionals, this course equips learners with the skills to analyze complex data sets, identify patterns, and make informed predictions.

Gain expertise in machine learning algorithms, statistical modeling, and data visualization to drive business growth and innovation.

Develop a strong foundation in predictive analytics and AI, and take your career to the next level.

Explore the possibilities of predictive analytics and AI, and start making data-driven decisions today.

Predictive Analytics and AI is a game-changing field that combines data science, machine learning, and business acumen to drive informed decision-making. This Certificate program equips you with the skills to unlock the full potential of predictive analytics and AI, enabling you to predictive analytics and AI solutions that drive business growth. With this course, you'll gain hands-on experience in data preprocessing, modeling, and deployment, as well as expertise in popular tools like Python, R, and TensorFlow. Upon completion, you'll be poised for a career in data science, business analysis, or consulting, with opportunities in finance, healthcare, and more.

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

•
Machine Learning Fundamentals •
Supervised and Unsupervised Learning •
Regression Analysis •
Time Series Analysis •
Natural Language Processing •
Deep Learning •
Predictive Modeling •
Data Visualization •
Big Data Analytics •
Business Intelligence

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Predictive Analytics and AI

The Certificate in Predictive Analytics and AI is a popular online course that equips learners with the skills to analyze complex data and make informed decisions using artificial intelligence and machine learning techniques.
This course covers a wide range of topics, including data preprocessing, model selection, and deployment, as well as the use of popular predictive analytics tools such as R and Python.
Upon completion of the course, learners can expect to gain a solid understanding of predictive analytics and AI, including the ability to identify business problems, collect and analyze data, and develop predictive models that drive business value.
The course is designed to be completed in approximately 12 weeks, with learners working at their own pace to complete the coursework and projects.
The industry relevance of this course is high, as predictive analytics and AI are increasingly being used in a variety of industries, including finance, healthcare, and marketing.
Learners who complete the Certificate in Predictive Analytics and AI can expect to see significant improvements in their ability to analyze complex data and make informed decisions, leading to increased productivity and competitiveness in the workplace.
The course is also highly relevant to professionals looking to transition into new roles or advance their careers in fields such as data science, business analytics, and machine learning.
Overall, the Certificate in Predictive Analytics and AI is a valuable investment for anyone looking to develop the skills and knowledge needed to succeed in today's data-driven business environment.

Why this course?

Predictive Analytics and AI have become crucial components in today's market, particularly in the UK. According to Google Charts, the demand for predictive analytics professionals is expected to grow by 14% annually, with the UK being one of the top countries for this growth.
Year Growth Rate
2020 10%
2021 12%
2022 14%

Who should enrol in Certificate in Predictive Analytics and AI?

Primary Keyword: Predictive Analytics Ideal Audience
Data analysts and scientists Professionals looking to upskill in AI and machine learning, with a focus on UK-based businesses, where 71% of organisations are using data analytics to drive decision-making.
Business intelligence specialists Individuals seeking to enhance their skills in predictive modelling, with the UK's data science market projected to reach £2.9 billion by 2025, creating over 13,000 new job opportunities.
Quantitative researchers Researchers and analysts looking to apply predictive analytics techniques to drive business growth, with 85% of UK businesses using data analytics to improve customer engagement.