Certificate in Spark and Scala for Big Data Analytics

Sunday, 15 February 2026 04:28:06

International applicants and their qualifications are accepted

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Overview

Overview

Spark and Scala for Big Data Analytics


Learn the power of Spark and Scala in this Certificate program, designed for data analysts and scientists looking to unlock the full potential of big data.


Discover how to harness the speed and scalability of Spark to process large datasets, and master the Scala language to write efficient and effective code.


Gain hands-on experience with data processing, machine learning, and data visualization using Spark and Scala, and take your career in big data analytics to the next level.


Whether you're a beginner or looking to refresh your skills, this Certificate program is perfect for anyone looking to work with big data.


So why wait? Start your journey to becoming a big data expert today and explore the possibilities of Spark and Scala!

Spark is the backbone of big data analytics, and this Certificate in Spark and Scala for Big Data Analytics will equip you with the skills to harness its power. Learn to process and analyze vast amounts of data with Spark, and unlock a world of career opportunities in data science and engineering. With Scala, you'll gain expertise in functional programming and data manipulation. This course offers Spark certification, hands-on experience with popular tools like Apache Spark, and a comprehensive understanding of data modeling and visualization. Boost your career prospects in industries like finance, healthcare, and technology.

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

•
Spark Core: Spark Core is the core module of Apache Spark, providing basic APIs for data processing. It includes modules for data structures, common operations, and data sources. •
Scala Programming: Scala is a multi-paradigm language used for building scalable and concurrent applications. It's widely used in big data analytics due to its strong type system and functional programming features. •
DataFrames and Datasets: DataFrames and Datasets are high-level data structures in Spark, providing a convenient way to work with structured data. They offer a range of operations, including filtering, grouping, and joining. •
Spark SQL: Spark SQL is a module for working with structured data, including relational databases and data stored in Hadoop. It provides a SQL-like interface for querying data. •
Data Sources: Data Sources in Spark include various options for reading and writing data, such as HDFS, S3, and Cassandra. This module helps users integrate Spark with different data storage systems. •
Machine Learning: Machine Learning is a module in Spark that provides a range of algorithms for classification, regression, clustering, and more. It's widely used in big data analytics for predictive modeling and data mining. •
GraphX: GraphX is a module for graph processing in Spark, providing a range of algorithms for graph analysis, including graph traversal, clustering, and recommendation systems. •
Spark Streaming: Spark Streaming is a module for real-time data processing, allowing users to process data as it arrives. It's widely used in big data analytics for applications like IoT, social media, and financial trading. •
Data Engineering: Data Engineering is a module that covers the design, development, and deployment of data pipelines. It includes topics like data warehousing, ETL, and data governance. •
Big Data Analytics: Big Data Analytics is a module that covers the principles and techniques of analyzing large datasets. It includes topics like data mining, data visualization, and 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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in Spark and Scala for Big Data Analytics

The Certificate in Spark and Scala for Big Data Analytics is a comprehensive program designed to equip learners with the skills required to work with big data using Apache Spark and Scala.
This course focuses on teaching learners how to process and analyze large datasets using Spark, a popular open-source data processing engine.
Through the course, learners will gain hands-on experience with Scala, a programming language used extensively in big data analytics.
Upon completion, learners will be able to apply their knowledge to real-world big data problems and contribute to the development of scalable and efficient data processing systems.
The learning outcomes of this certificate program include the ability to design, develop, and deploy big data applications using Spark and Scala, as well as the skills to analyze and visualize complex data sets.
The duration of the course is typically 12 weeks, with learners expected to dedicate around 10 hours per week to studying and completing assignments.
Industry relevance is high for this certificate, as big data analytics is a rapidly growing field with numerous job opportunities in various sectors, including finance, healthcare, and retail.
Many companies, such as Accenture, IBM, and Amazon, rely on Spark and Scala for their big data analytics needs, making this certificate a valuable asset for job seekers.
By completing this certificate program, learners can enhance their career prospects and stay competitive in the job market.
Overall, the Certificate in Spark and Scala for Big Data Analytics is an excellent choice for individuals looking to break into the big data analytics field or advance their careers in this area.

Why this course?

Spark and Scala have become essential tools for Big Data Analytics in today's market, particularly in the UK. According to a survey by the Data Science Council of America, 71% of UK companies are using Big Data analytics, with 45% of them using Spark and Scala.
Year Number of Companies Using Spark and Scala
2018 35%
2019 42%
2020 51%
2021 58%
2022 65%

Who should enrol in Certificate in Spark and Scala for Big Data Analytics?

Ideal Audience for Certificate in Spark and Scala for Big Data Analytics Data professionals in the UK looking to upskill in big data analytics are the primary target audience for this certificate.
Key Characteristics: Professionals with 2+ years of experience in data analysis, data science, or a related field, and a basic understanding of programming concepts.
Industry Focus: Big data analytics, data engineering, data science, and business intelligence are key industries that this certificate can benefit.
Job Roles: Data Analyst, Data Scientist, Data Engineer, Business Intelligence Developer, and Data Architect are potential job roles for certificate holders.
Salary Expectations: According to the UK's Office for National Statistics, the average salary for a Data Scientist in the UK is £60,000-£80,000 per annum, with experienced professionals earning up to £100,000.