Certificate in Data Science Fundamentals: Next-Gen Fundamentals

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The Certificate in Data Science Fundamentals is a highly relevant and career-advancing course that equips learners with essential data science skills. This program focuses on next-generation fundamentals, providing a solid foundation in data analysis, machine learning, and data visualization.

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About this course

In today's data-driven world, the demand for data science professionals has skyrocketed across industries. By completing this course, learners will gain a competitive edge in the job market, as they will have developed a strong understanding of how to extract valuable insights from large datasets and communicate these findings effectively. Through hands-on experience with industry-standard tools and techniques, this certificate course empowers learners to tackle real-world data science challenges with confidence. Whether you're seeking to advance in your current role or transition to a new career, the Certificate in Data Science Fundamentals is an invaluable investment in your professional growth.

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Course Details

Data Science Foundations: Introduction to Data Science, History and Evolution of Data Science, Data Science vs Traditional Statistics, Data Science Applications

Data Types and Structures: Numerical Data, Categorical Data, Time Series Data, Text Data, Image Data, Graph/Network Data, Data Structures in Data Science

Data Manipulation and Wrangling: Data Cleaning, Data Transformation, Data Merging and Joining, Data Reshaping, Data Aggregation

Exploratory Data Analysis (EDA): Descriptive Statistics, Data Visualization, Hypothesis Testing, Univariate and Multivariate Analysis, Dimensionality Reduction

Data Modeling and Machine Learning: Regression Analysis, Classification, Clustering, Dimensionality Reduction, Model Evaluation Metrics

Big Data Fundamentals: Big Data Overview, Distributed Computing, Hadoop Ecosystem, Spark and PySpark, NoSQL Databases

Data Science Tools and Languages: Python for Data Science, R for Data Science, SQL for Data Science, Git and Version Control, Jupyter Notebooks

Data Ethics and Privacy: Data Privacy, Bias in Data, Ethical Considerations in Data Science, Responsible AI Practices

Data Science Project Management: Data Science Workflow, Reproducible Research, Collaborative Data Science, Data Science Career Paths

Career Path

This section presents a 3D pie chart showcasing the UK job market trends for Data Science Fundamentals: Next-Gen Fundamentals. The data highlights the percentage of job openings for four primary roles in the data science field. The chart reveals that Data Scientists hold the largest share of job openings with 45%, followed closely by Data Analysts at 35%. Data Engineers represent 15% of the job market, while Business Intelligence Analysts account for the remaining 5%. In the UK, the demand for professionals with data science skills continues to grow, offering competitive salary ranges and diverse career opportunities. Acquiring a Certificate in Data Science Fundamentals: Next-Gen Fundamentals can help you gain the necessary skills to excel in these in-demand roles.

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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CERTIFICATE IN DATA SCIENCE FUNDAMENTALS: NEXT-GEN FUNDAMENTALS
is awarded to
Learner Name
who has completed a programme at
UK School of Management (UKSM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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