Professional Certificate in Data Science Tools and Libraries: A Key to Career Progression in the UK
-- viewing nowData Science Tools and Libraries are essential for career progression in the UK. Designed for professionals and individuals looking to upskill, this Professional Certificate program focuses on the key tools and libraries used in data science.
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About this course
Learn to work with popular libraries such as Python and R, and gain hands-on experience with data visualization tools like Tableau and Power BI.
Develop a strong foundation in data science and enhance your career prospects with this comprehensive program.
Take the first step towards a successful career in data science - Explore the program further and discover how it can help you achieve your goals.
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Course details
• Introduction to Data Science Tools and Libraries: This unit covers the fundamental concepts and tools used in data science, including data preprocessing, visualization, and machine learning. It provides a solid foundation for the rest of the course.
• Data Preprocessing with Python: This unit focuses on the essential skills required for data preprocessing, including data cleaning, handling missing values, and data transformation using Python libraries such as Pandas and NumPy.
• Data Visualization with Tableau and Power BI: This unit teaches students how to effectively communicate insights using data visualization tools like Tableau and Power BI, enabling them to create interactive and dynamic dashboards.
• Machine Learning with Scikit-learn and TensorFlow: This unit delves into the world of machine learning, covering the basics of supervised and unsupervised learning, regression, classification, clustering, and neural networks using Scikit-learn and TensorFlow.
• Data Mining with R and SQL: This unit explores the concepts of data mining, including data warehousing, data mining techniques, and data visualization using R and SQL.
• Big Data Processing with Hadoop and Spark: This unit covers the fundamentals of big data processing, including data ingestion, processing, and storage using Hadoop and Spark.
• Data Science with Python and Jupyter Notebook: This unit focuses on using Python and Jupyter Notebook for data science tasks, including data exploration, visualization, and machine learning.
• Data Ethics and Governance: This unit emphasizes the importance of data ethics and governance in data science, including data privacy, security, and compliance.
• Data Storytelling and Communication: This unit teaches students how to effectively communicate data insights to stakeholders, including data storytelling, presentation skills, and report writing.
• Career Progression in Data Science: This unit provides guidance on career progression in data science, including resume building, interview preparation, and professional development.
Career path
| Role | Demand | Salary Range (GBP) |
| Data Scientist | 90% | £60,000 - £80,000 |
| Data Analyst | 80% | £40,000 - £60,000 |
| Business Analyst | 70% | £50,000 - £70,000 |
| Data Engineer | 85% | £70,000 - £90,000 |
| Machine Learning Engineer | 95% | £90,000 - £110,000 |
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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PROFESSIONAL CERTIFICATE IN DATA SCIENCE TOOLS AND LIBRARIES: A KEY TO CAREER PROGRESSION IN THE UK
is awarded to
Learner Name
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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