Certificate in Big Data Analysis and Visualization

Wednesday, 11 February 2026 09:49:11

International applicants and their qualifications are accepted

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Overview

Overview

Big Data Analysis and Visualization


Unlock the power of big data with our Certificate in Big Data Analysis and Visualization, designed for professionals and individuals looking to gain skills in extracting insights from large datasets.


Learn to collect, process, and analyze big data using tools like Hadoop, Spark, and Tableau, and create informative visualizations to communicate findings effectively.


Some of the key topics covered in this course include: data preprocessing, machine learning algorithms, and data visualization best practices.

Gain a competitive edge in the job market with this certification, and take the first step towards a career in big data analysis and visualization.


Explore our course today and discover how you can turn big data into actionable insights!

Big Data Analysis and Visualization is a game-changing field that offers unparalleled opportunities for career growth and development. By mastering the skills to extract insights from vast amounts of data, you'll unlock a world of possibilities. This course will equip you with the tools and techniques to Big Data Analysis and Visualization, enabling you to drive business decisions with data-driven intelligence. With a strong focus on practical applications, you'll learn to Big Data Analysis and Visualization using industry-leading software and technologies. Upon completion, you'll be poised for success in roles such as Data Analyst, Business Intelligence Analyst, or Data Scientist.

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 Processing with Hadoop • Machine Learning with Scikit-Learn • Data Mining with R • Statistical Analysis with SQL • Data Visualization with Power BI • Data Preprocessing with pandas • Big Data Storage with NoSQL • Data Analysis with Excel

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 Big Data Analysis and Visualization

The Certificate in Big Data Analysis and Visualization is a popular course that equips students with the skills to collect, process, and analyze large datasets using various tools and technologies.
This program focuses on teaching students how to extract insights from big data, create data visualizations, and communicate findings effectively to stakeholders.
Upon completion of the course, students will have gained knowledge in data analysis, machine learning, and data visualization tools such as Python, R, Tableau, Power BI, and D3.js.
The duration of the certificate program varies depending on the institution offering it, but most programs take around 3-6 months to complete.
The industry relevance of this certificate is high, as big data analysis and visualization are increasingly becoming essential skills for data scientists, business analysts, and data analysts in various industries.
The course covers topics such as data preprocessing, data visualization, machine learning algorithms, and statistical modeling, making it a valuable addition to any resume.
Graduates of this program can expect to work in industries such as finance, healthcare, marketing, and retail, where big data analysis and visualization are used to drive business decisions.
Overall, the Certificate in Big Data Analysis and Visualization is a great option for individuals looking to upskill or reskill in the field of data analysis and visualization.

Why this course?

Big Data Analysis and Visualization has become a crucial skill in today's market, with the UK's data-driven economy growing rapidly. According to a report by the UK's Office for National Statistics (ONS), the data science industry is expected to reach £2.9 billion by 2025, with a growth rate of 13% per annum.
Year Growth Rate (%)
2020 10%
2021 12%
2022 13%
2023 14%
2024 15%
2025 16%

Who should enrol in Certificate in Big Data Analysis and Visualization ?

Big Data Analysis and Visualization is ideal for
data-savvy professionals in the UK, where 70% of organisations are using big data to inform business decisions, and 60% of IT professionals believe that big data analytics will be a key skill for the job market in the next 5 years.
those interested in data science, business intelligence, and data engineering
with a background in statistics, mathematics, computer science, or economics
looking to gain practical skills in data analysis and visualization tools such as Python, R, Tableau, and Power BI, and apply them to real-world problems in various industries.