Advanced Certificate in Data Science using Spark

Friday, 06 February 2026 20:26:17

International applicants and their qualifications are accepted

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Overview

Overview

Data Science with Apache Spark is a comprehensive course designed for professionals and enthusiasts alike, focusing on the application of Spark in data science tasks.

Learn to extract insights from large datasets using Spark's powerful APIs and tools, and develop a strong foundation in data science concepts such as machine learning, data visualization, and data engineering.

Our course is ideal for data analysts, data engineers, and anyone looking to expand their skill set in data science using Spark.

Gain hands-on experience with Spark's core modules, including Spark SQL, DataFrames, and Machine Learning, and apply your knowledge to real-world projects.

Take the first step towards becoming a data science expert with Apache Spark and unlock new opportunities in the industry.

Data Science with Apache Spark is a comprehensive course that equips you with the skills to extract insights from large datasets. By leveraging the power of Spark, you'll learn to process and analyze massive data sets, making it an ideal choice for professionals looking to upskill. The course covers key concepts such as data preprocessing, machine learning, and data visualization. You'll gain hands-on experience with popular tools like Spark SQL, DataFrames, and Machine Learning libraries. With this certification, you can expect improved career prospects in the field of data science, and a salary boost of up to 20%.

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 Preprocessing with Spark • Machine Learning with Spark MLlib • Spark SQL and Data Warehousing • Data Visualization with Matplotlib and Seaborn • Big Data Storage with HDFS and Cassandra • Spark Streaming and Real-Time Analytics • Data Mining with Spark and R • Natural Language Processing with Spark NLP • Deep Learning with Spark and TensorFlow • Data Engineering with Spark and HBase

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 Advanced Certificate in Data Science using Spark

The Advanced Certificate in Data Science using Spark is a comprehensive program designed to equip learners with the skills required to extract insights from large datasets.
This program focuses on teaching learners how to use Apache Spark, a powerful open-source data processing engine, to analyze and visualize data.
Upon completion, learners will be able to apply data science techniques to real-world problems, making them highly sought after in the industry.
The learning outcomes of this program include the ability to design and implement data pipelines, work with structured and unstructured data, and develop predictive models using machine learning algorithms.
The duration of the program is typically 12 weeks, with learners expected to dedicate around 20 hours per week to coursework and assignments.
Industry relevance is high for this program, as data science skills are in high demand across various sectors, including finance, healthcare, and retail.
Learners who complete this program can expect to earn a competitive salary, with average salaries ranging from $100,000 to over $200,000 depending on the role and location.
The Advanced Certificate in Data Science using Spark is an excellent choice for individuals looking to transition into a data science career or advance their existing skills in the field.
By gaining expertise in Spark and data science, learners can unlock new career opportunities and stay ahead of the curve in an industry that is rapidly evolving.

Why this course?

The Advanced Certificate in Data Science using Spark is highly significant in today's market, particularly in the UK. According to a report by the UK's Office for National Statistics (ONS), the demand for data scientists is expected to increase by 45% by 2028, with the average salary ranging from £80,000 to £110,000 per annum.
Year Percentage Increase
2020 20%
2021 30%
2022 40%
2023 45%

Who should enrol in Advanced Certificate in Data Science using Spark?

Data Science using Spark
Ideal Audience: Data professionals seeking to upskill in machine learning and analytics, particularly those working in the UK's thriving data science industry. With the UK's data science market projected to reach £15.4 billion by 2025, this certification can help individuals stay ahead of the curve.
Job Roles: Data Analysts, Data Scientists, Business Intelligence Developers, and Data Engineers looking to enhance their skills in data processing, machine learning, and data visualization using Apache Spark.
Prerequisites: Basic understanding of programming concepts, data structures, and algorithms. Familiarity with Python or R is recommended, but not mandatory.
Learning Outcomes: Gain hands-on experience in building data pipelines, data preprocessing, and machine learning models using Apache Spark. Develop skills in data visualization, data quality, and data governance.