Global Certificate in Data Analytics with MATLAB

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The Global Certificate in Data Analytics with MATLAB is a comprehensive course designed to empower learners with essential data analytics skills. This program emphasizes the importance of data-driven decision-making in today's digital world, making it increasingly relevant and sought-after in various industries.

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About this course

With a strong focus on MATLAB, a high-performance language for technical computing, this course equips learners with the ability to analyze, visualize, and present complex data sets effectively. The course covers key topics such as statistical analysis, machine learning, and predictive modeling, providing a solid foundation for a successful career in data analytics. By completing this course, learners will not only gain practical experience with MATLAB but also develop critical thinking and problem-solving skills. As data analytics continues to be a growing field, this certification can significantly enhance one's career prospects and provide a competitive edge in the job market.

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Course Details

• Unit 1: Introduction to Data Analytics · Overview of data analytics, types of data, data lifecycle, data analytics process, and tools used in data analytics.
• Unit 2: Data Preprocessing with MATLAB · Handling missing data, data cleaning, data transformation, data normalization, and data visualization using MATLAB.
• Unit 3: Exploratory Data Analysis (EDA) · Univariate and multivariate analysis, hypothesis testing, correlation analysis, and regression analysis using MATLAB.
• Unit 4: Statistical Analysis · Descriptive and inferential statistics, probability distributions, and statistical modeling using MATLAB.
• Unit 5: Data Mining · Clustering, classification, association rule mining, and anomaly detection using MATLAB.
• Unit 6: Predictive Modeling · Linear and logistic regression, decision trees, random forests, and neural networks using MATLAB.
• Unit 7: Time Series Analysis · Time series decomposition, autocorrelation, moving averages, exponential smoothing, and ARIMA models using MATLAB.
• Unit 8: Big Data Analytics · Introduction to big data, distributed computing, and Hadoop ecosystem, and using MATLAB for big data analytics.
• Unit 9: Data Visualization · Creating effective data visualizations, data storytelling, and dashboard creation using MATLAB.
• Unit 10: Ethics and Data Privacy · Overview of ethical considerations in data analytics, data privacy laws, and best practices for data privacy using MATLAB.

Career Path

The Global Certificate in Data Analytics with MATLAB is designed to equip learners with the necessary skills to excel in the thriving data analytics job market. This course focuses on hands-on experience using MATLAB, an essential tool in data analysis across various industries. In the UK, data analytics job market trends show promising growth for professionals with the right skill set. The demand for data analysts, data scientists, data engineers, and BI analysts is increasing, with each role playing a distinct part in leveraging data to make informed decisions. * Data Analysts: Focused on interpreting and organizing complex data, these professionals often work closely with stakeholders to transform raw data into meaningful insights. * Data Scientists: Tasked with extracting insights from large-scale data, data scientists often rely on machine learning and statistical techniques to identify trends, patterns, and correlations. * Data Engineers: Responsible for building and maintaining data architectures, data engineers ensure data is accessible, secure, and optimized for downstream processing. * BI Analysts: Business intelligence analysts create dashboards and reports that help organizations understand their performance and identify growth opportunities. With a median salary range of £30,000 to £60,000, data analytics professionals in the UK enjoy competitive remuneration packages. As the demand for data-driven decision-making increases, so does the need for skilled professionals in the field, making this a lucrative career path for those interested in data analytics.

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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GLOBAL CERTIFICATE IN DATA ANALYTICS WITH MATLAB
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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