Professional Certificate in Big Data Analysis for Business Intelligence

Friday, 05 September 2025 13:13:38

International applicants and their qualifications are accepted

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Overview

Overview

Big Data Analysis for Business Intelligence


Unlock the power of big data to drive business growth and decision-making with our Professional Certificate in Big Data Analysis for Business Intelligence.


Designed for professionals and business analysts, this program teaches you to extract insights from large datasets, identify trends, and create data-driven reports.


Some of the key skills you'll learn include:

data visualization, statistical analysis, and machine learning techniques.


Gain practical experience with tools like Tableau, Power BI, and Python, and apply your knowledge to real-world business problems.


Take the first step towards becoming a data-driven business leader and explore our program today!

Big Data Analysis is a game-changer for businesses seeking to make data-driven decisions. This Professional Certificate in Big Data Analysis for Business Intelligence will equip you with the skills to extract insights from complex data sets, big data analysis, and transform them into actionable intelligence. With this course, you'll gain expertise in tools like Hadoop, Spark, and Tableau, and develop a deep understanding of statistical modeling, machine learning, and data visualization. Big data analysis is a highly sought-after skill, opening doors to exciting career opportunities in data science, business intelligence, 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

• Data Wrangling with Python • Data Visualization with Tableau • Big Data Storage Solutions (Hadoop, NoSQL) • Machine Learning Fundamentals (Supervised, Unsupervised) • Statistical Analysis for Business Decision Making • Data Mining Techniques for Predictive Analytics • SQL and NoSQL Database Management • Data Quality Control and Data Governance • Data Visualization Best Practices • Business Intelligence Tools and Technologies

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 Professional Certificate in Big Data Analysis for Business Intelligence

The Professional Certificate in Big Data Analysis for Business Intelligence is a comprehensive program designed to equip learners with the skills necessary to extract insights from large datasets and drive business decisions.
This program focuses on teaching learners how to collect, process, and analyze big data using various tools and technologies such as Hadoop, Spark, and SQL.
Upon completion of the program, learners can expect to gain knowledge in areas such as data visualization, machine learning, and statistical analysis, which are essential for business intelligence.
The duration of the program is typically 4-6 months, with learners completing a series of online courses and assignments to demonstrate their understanding of big data concepts.
The program is highly relevant to the industry, as businesses are increasingly relying on big data analysis to inform their strategic decisions and stay competitive in the market.
Learners who complete the program can expect to gain a competitive edge in the job market, with many employers seeking professionals with big data analysis skills.
The program is also designed to be flexible, with learners able to complete the coursework on their own schedule and at their own pace.
Overall, the Professional Certificate in Big Data Analysis for Business Intelligence is an excellent choice for anyone looking to launch or advance their career in business intelligence and big data analysis.

Why this course?

Big Data Analysis is a crucial aspect of business intelligence in today's market, with the UK being no exception. According to Google Charts, the demand for big data professionals in the UK is expected to grow by 14% from 2020 to 2025, with an estimated 10,000 new job openings each year.
Year Job Openings
2020 6,400
2021 7,400
2022 8,400
2023 9,400
2024 10,400
2025 11,400

Who should enrol in Professional Certificate in Big Data Analysis for Business Intelligence?

Big Data Analysis for Business Intelligence Ideal Audience
Professionals seeking to upskill in data-driven decision making Typically include:
Business Analysts Data Analysts
Marketing Managers Operations Managers
Individuals working in UK-based industries such as finance, retail, and healthcare Benefit from improved data literacy and enhanced business acumen
Those looking to stay ahead of the curve in a rapidly evolving data landscape Can expect to gain practical skills in data analysis, visualization, and interpretation