From Classroom to Career: Professional Certificate in Data Engineering Basics Impact in the UK
-- viewing nowData Engineering Basics is a crucial skillset for professionals in the UK, driving business growth and innovation. From Classroom to Career: Professional Certificate in Data Engineering Basics is designed for individuals seeking to upskill and reskill in this field.
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About this course
This program equips learners with the fundamental knowledge and hands-on experience needed to succeed in data engineering roles, covering topics such as data processing, data storage, and data analytics.
By mastering these skills, learners can enhance their career prospects and contribute to the UK's thriving data-driven economy.
Ready to unlock your potential and stay ahead in the job market? Explore the program further and discover how you can transform your career with Data Engineering Basics.
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Course details
• Data Engineering Fundamentals: This unit covers the basics of data engineering, including data storage, processing, and management. It introduces students to the key concepts and technologies used in data engineering, such as data warehousing, ETL (Extract, Transform, Load), and data pipelines.
• Data Storage and Management: This unit delves deeper into data storage and management, covering topics such as data modeling, data governance, and data quality. Students learn about the different types of data storage solutions, including relational databases, NoSQL databases, and cloud storage.
• Data Processing and Pipelines: In this unit, students learn about data processing and pipelines, including data ingestion, processing, and delivery. They cover topics such as data streaming, batch processing, and data integration, as well as popular data processing frameworks like Apache Beam and Apache Spark.
• Data Engineering Tools and Technologies: This unit introduces students to the various tools and technologies used in data engineering, including data integration tools like Apache NiFi and Talend, data quality tools like Trifacta and Talend, and data governance tools like Collibra and Informatica.
• Data Engineering in the Cloud: This unit covers the basics of data engineering in the cloud, including cloud-based data storage, processing, and management. Students learn about cloud-based data platforms like Amazon Redshift, Google BigQuery, and Azure Synapse Analytics, as well as cloud-based data integration and processing tools like AWS Glue and Azure Data Factory.
• Data Engineering for Business Intelligence: In this unit, students learn about data engineering for business intelligence, including data warehousing, data marting, and data visualization. They cover topics such as data modeling, data governance, and data quality, as well as popular business intelligence tools like Tableau and Power BI.
• Data Engineering for Machine Learning: This unit introduces students to data engineering for machine learning, including data preparation, feature engineering, and model deployment. Students learn about popular machine learning frameworks like TensorFlow and PyTorch, as well as data engineering tools like Apache Spark MLlib and H2O.
• Data Engineering for Real-Time Analytics: In this unit, students learn about data engineering for real-time analytics, including data streaming, event-driven processing, and real-time data integration. They cover topics such as Apache Kafka, Apache Flink, and Apache Storm, as well as popular real-time analytics tools like Google Cloud Pub/Sub and Amazon Kinesis.
• Data Engineering for Data Science: This unit covers the basics of data engineering for data science, including data preparation, data visualization, and data storytelling. Students learn about popular data science tools like Jupyter Notebook, RStudio, and Python, as well as data engineering tools like Apache Spark and Hadoop.
• Data Engineering Best Practices: In this final unit, students learn about data engineering best practices, including data governance, data quality, and data security. They cover topics such as data architecture, data modeling, and data integration, as well as popular data engineering frameworks like Microservices and Service-Oriented Architecture (SOA).
Career path
**From Classroom to Career: Professional Certificate in Data Engineering Basics Impact in the UK**
**Job Market Trends and Salary Ranges in the UK**
**Career Roles in Data Engineering**
1. Data Engineer - Responsible for designing, building, and maintaining large-scale data systems, ensuring data quality, and optimizing data processing pipelines.
2. Data Scientist - Applies statistical and machine learning techniques to extract insights from data, developing predictive models and visualizations to inform business decisions.
3. Business Analyst - Collaborates with stakeholders to identify business needs, develops data-driven solutions, and implements process improvements to drive revenue growth.
4. Data Analyst - Analyzes and interprets data to provide actionable insights, creating reports and visualizations to support business strategy and decision-making.
5. Machine Learning Engineer - Designs and develops scalable machine learning models, integrating them into production environments to drive business value and innovation.
**Key Skills in Demand**
* Programming languages: Python, Java, SQL
* Data engineering tools: Apache Beam, Apache Spark, AWS Glue
* Data science libraries: Pandas, NumPy, scikit-learn
* Cloud platforms: AWS, GCP, Azure
* Data visualization tools: Tableau, Power BI, D3.js
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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FROM CLASSROOM TO CAREER: PROFESSIONAL CERTIFICATE IN DATA ENGINEERING BASICS IMPACT IN THE UK
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who has completed a programme at
London School of Planning and Management
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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