Professional Certificate in Apache Spark Basics

Sunday, 15 February 2026 16:52:20

International applicants and their qualifications are accepted

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Overview

Overview

Apache Spark Basics


Learn the fundamentals of Apache Spark, a powerful open-source data processing engine.


Designed for data analysts, data scientists, and engineers, this course covers the basics of Spark, including data ingestion, processing, and storage.


Key topics include: data frames, data sources, and machine learning libraries.

Gain hands-on experience with Spark using real-world examples and case studies.


Take your data analysis skills to the next level with this comprehensive course.


Enroll now and start exploring the world of Apache Spark!

Apache Spark Basics is an essential skill for data analysts and scientists. Gain hands-on experience with the leading open-source data processing engine and unlock a world of possibilities. With this Professional Certificate, you'll learn to Apache Spark Basics and Apache Spark from scratch, covering key concepts like data ingestion, processing, and storage. You'll also explore advanced topics like machine learning, graph processing, and data engineering. By completing this course, you'll Apache Spark certified and boost your career prospects in the field of big data and analytics. Enhance your skills and take your career to the next level with this comprehensive course.

Entry requirements

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 Apache Spark • Spark Core Fundamentals • DataFrames and DataSets • Spark SQL • Machine Learning with Spark MLlib • Spark Streaming • Data Sources and Sinks • Spark GraphX • Spark MLlib for Classification • Data Validation and Quality Control

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 Apache Spark Basics

The Professional Certificate in Apache Spark Basics is a comprehensive course designed to equip learners with the fundamental skills required to work with Apache Spark, a popular open-source data processing engine.
This course covers the basics of Apache Spark, including Spark Core, Spark SQL, Spark Streaming, and Spark Machine Learning. Learners will gain hands-on experience with Spark through a series of projects and exercises, allowing them to apply their knowledge in real-world scenarios.
Upon completion of the course, learners can expect to achieve the following learning outcomes: - Understand the architecture and components of Apache Spark - Learn to write Spark programs using Java, Python, and Scala - Develop skills in data ingestion, processing, and storage using Spark - Apply Spark for data analysis, machine learning, and data engineering
The duration of the course is approximately 4 months, with learners expected to dedicate around 10 hours per week to complete the coursework. This allows for a flexible learning schedule that can be adapted to suit individual needs.
The Professional Certificate in Apache Spark Basics is highly relevant to the data science and analytics industry, where Apache Spark is widely used for big data processing and analysis. By acquiring this skillset, learners can enhance their career prospects and stay competitive in the job market.
The course is designed to be completed in 4 months, with learners expected to dedicate around 10 hours per week to complete the coursework. This allows for a flexible learning schedule that can be adapted to suit individual needs.
The Professional Certificate in Apache Spark Basics is a valuable addition to any data science or analytics professional's skillset, providing a solid foundation in Apache Spark and its applications.

Why this course?

Apache Spark Basics has become a highly sought-after skill in the UK job market, with a significant increase in demand over the past few years. According to a survey by the UK's Data Science Council of America (DASCA), the number of job postings for Apache Spark professionals has grown by 50% in the past year alone.
Year Number of Job Postings
2022 1,500
2023 2,250
2024 3,000

Who should enrol in Professional Certificate in Apache Spark Basics?

Ideal Audience for Professional Certificate in Apache Spark Basics Data analysts, data scientists, and business intelligence professionals in the UK are in high demand, with a projected growth rate of 14% by 2027 (Source: Office for National Statistics)
Key Characteristics: Proficient in SQL and data manipulation, with basic programming skills in languages like Python or R, and a desire to upskill in big data processing and machine learning
Industry Sectors: Finance, healthcare, retail, and government, where data-driven decision-making is crucial, and Apache Spark skills are highly valued
Learning Objectives: Gain hands-on experience with Apache Spark, learn to process large datasets, and develop skills in data engineering, machine learning, and data visualization

Insights

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