Certificate in Apache Hadoop for Data Science

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Certificate in Apache Hadoop for Data Science

Apache Hadoop for Data Science

is a comprehensive learning experience designed for data enthusiasts and professionals looking to master the fundamentals of Hadoop and its applications in data science.

With this certificate program, you'll gain hands-on experience in Hadoop ecosystem, including HDFS, MapReduce, YARN, and Spark, as well as essential data science skills like data preprocessing, visualization, and machine learning.

Learn from industry experts and apply your knowledge to real-world projects, preparing you for a career in data science and analytics.

Take the first step towards unlocking the full potential of Hadoop and data science. Explore the Certificate in Apache Hadoop for Data Science today and start building a brighter future in the world of data-driven decision making.

Apache Hadoop is a powerful tool for data science, and our Certificate in Apache Hadoop for Data Science will equip you with the skills to harness its full potential. Learn to process and analyze large datasets, build scalable data pipelines, and gain a competitive edge in the job market. With Apache Hadoop, you'll gain hands-on experience in Hadoop ecosystem, including HDFS, MapReduce, and YARN. Our course also covers key concepts in data science, including machine learning, data visualization, and big data analytics. Upon completion, you'll be well-prepared for roles in data engineering, data science, and business intelligence.

Benefits of studying Certificate in Apache Hadoop for Data Science

Certificate in Apache Hadoop for Data Science: A UK-Specific Perspective In today's data-driven market, a Certificate in Apache Hadoop is a highly sought-after skill for data science professionals in the UK. According to a survey by the UK's Data Science Council of America (DASCA), 75% of data science professionals in the UK use Hadoop for data processing and analysis (Google Charts 3D Column Chart, see below). Moreover, a report by ResearchAndMarkets.com predicts that the UK's Hadoop market will grow at a CAGR of 22.1% from 2020 to 2027, driven by increasing demand for big data analytics (Table 1).

Year Growth Rate (%)
2020 10.3
2021 18.1
2022 22.1

Career opportunities

Below is a partial list of career roles where you can leverage a Certificate in Apache Hadoop for Data Science to advance your professional endeavors.

* Please note: The salary figures presented above serve solely for informational purposes and are subject to variation based on factors including but not limited to experience, location, and industry standards. Actual compensation may deviate from the figures presented herein. It is advisable to undertake further research and seek guidance from pertinent professionals prior to making any career-related decisions relying on the information provided.

Learn key facts about Certificate in Apache Hadoop for Data Science

The Certificate in Apache Hadoop for Data Science is a comprehensive program designed to equip learners with the skills required to work with big data using Apache Hadoop, a popular open-source framework in the field of data science.
This certificate program focuses on teaching learners how to collect, process, and analyze large datasets using Apache Hadoop, which is widely used in industries such as finance, healthcare, and retail for data warehousing and business intelligence.
Upon completion of the program, learners can expect to gain knowledge and skills in areas such as Hadoop architecture, data ingestion, data processing, and data storage, as well as data analysis and visualization using tools like Apache Spark and Apache Hive.
The duration of the Certificate in Apache Hadoop for Data Science program varies depending on the institution offering it, but most programs take around 3-6 months to complete and consist of a combination of online coursework, hands-on projects, and practical assignments.
The industry relevance of this certificate is high, as companies are increasingly looking for professionals who can work with big data using Apache Hadoop and other related technologies. Learners who complete this program can expect to find job opportunities in data science, data engineering, and business intelligence.
The skills learned through this program are also transferable to other areas of data science, such as machine learning, deep learning, and data mining, making it a valuable addition to any data science professional's skillset.
Overall, the Certificate in Apache Hadoop for Data Science is a valuable program for anyone looking to gain the skills and knowledge required to work with big data using Apache Hadoop and other related technologies.

Who is Certificate in Apache Hadoop for Data Science for?

Ideal Audience for Certificate in Apache Hadoop for Data Science Data professionals in the UK looking to upskill in big data analytics and machine learning, with a focus on those working in industries such as finance, healthcare, and e-commerce, are the primary target audience for this certificate.
Key Characteristics: Professionals with a basic understanding of programming concepts, data structures, and algorithms, and those interested in exploring the applications of Hadoop in data science, are well-suited for this certificate.
Industry Background: The UK's data science industry is growing rapidly, with an estimated 10,000 new jobs created annually, driven by the increasing demand for big data analytics and machine learning solutions. Professionals working in finance, healthcare, and e-commerce are among the top employers of data scientists in the UK.
Career Opportunities: Upon completing the Certificate in Apache Hadoop for Data Science, graduates can expect career opportunities in data science, data engineering, and business intelligence, with average salaries ranging from £60,000 to £100,000 per annum in the UK.

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Course content

• Hadoop Ecosystem
• MapReduce Programming
• HDFS Architecture
• YARN Architecture
• Data Processing with Pig
• Data Processing with Hive
• Spark Streaming for Data Science
• Data Preprocessing with Python
• Data Visualization with Matplotlib
• Big Data Analytics with R


Assessments

The assessment process primarily relies on the submission of assignments, and it does not involve any written examinations or direct observations.

Entry requirements

  • The program operates under an open enrollment framework, devoid of specific entry prerequisites. Individuals demonstrating a sincere interest in the subject matter are cordially invited to participate. Participants must be at least 18 years of age at the commencement of the course.

Fee and payment plans


Duration

1 month
2 months

Course fee

The fee for the programme is as follows:

1 month - GBP £149
2 months - GBP £99 * This programme does not have any additional costs.
* The fee is payable in monthly, quarterly, half yearly instalments.
** You can avail 5% discount if you pay the full fee upfront in 1 instalment

Payment plans

1 month - GBP £149


2 months - GBP £99

Accreditation

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 recognized awarding body or regulatory authority.

Continuous Professional Development (CPD)

Continuous professional development (CPD), also known as continuing education, refers to a wide range of learning activities aimed at expanding knowledge, understanding, and practical experience in a specific subject area or professional role. This is a CPD course.
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The programme aims to develop pro-active decision makers, managers and leaders for a variety of careers in business sectors in a global context.

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