Masterclass Certificate in Data Science for Portfolios

Name: Masterclass Certificate in Data Science for Portfolios
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The Masterclass Certificate in Data Science for Portfolios is a comprehensive course designed to equip learners with essential data science skills in high demand by industries worldwide. This program covers a broad range of topics, including machine learning, data visualization, and statistical analysis, using popular tools such as Python, R, and Tableau.

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AboutThisCourse

By completing this course, learners will develop a strong portfolio of data science projects, showcasing their skills and knowledge to potential employers. The course is important for career advancement, as data science skills are increasingly valued in many industries, from finance and healthcare to marketing and technology. With this certificate, learners will gain a competitive edge in the job market and be well-prepared to take on challenging data science roles.

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CourseDetails

• Unit 1: Introduction to Data Science & Portfolios
• Unit 2: Data Wrangling & Pre-processing
• Unit 3: Exploratory Data Analysis (EDA) & Visualization
• Unit 4: Statistical Analysis & Hypothesis Testing
• Unit 5: Machine Learning Fundamentals
• Unit 6: Advanced Machine Learning Techniques
• Unit 7: Deep Learning & Neural Networks
• Unit 8: Big Data Processing with Hadoop & Spark
• Unit 9: Data Science Project Management & Communication
• Unit 10: Building a Data Science Portfolio & Interview Preparation

CareerPath

The Masterclass Certificate in Data Science prepares individuals to excel in various data science roles. This section highlights the latest UK job market trends in data science through a visually engaging 3D pie chart, representing the percentage of each role in the industry. The data science field has witnessed significant growth, offering ample opportunities for both aspiring and experienced professionals. The 3D pie chart showcases the distribution of data science roles, such as Data Scientist, Data Analyst, Data Engineer, Data Architect, and Business Intelligence Developer. This visual representation allows viewers to grasp the relative demand for each role quickly. The 3D pie chart is designed with a transparent background, ensuring a seamless integration with the surrounding content. Being responsive, it adapts to different screen sizes effortlessly, providing a consistent user experience. The chart's height is set to 400px, while its width is defined as 100%, allowing it to occupy the full available width of its parent container. To create the 3D pie chart, the Google Charts library was utilized. After loading the library, the chart's data and options were defined. The data variable holds the array of data points, whereas the options variable contains visual customizations. Once the data and options were configured, the chart was rendered using the google.visualization.PieChart function and the chart.draw method. The 3D pie chart offers valuable insights into the current job market trends in data science. By understanding the industry's needs, professionals can make informed decisions regarding their career paths and focus on acquiring the necessary skills. The chart's engaging visualization and responsive design ensure that the information is accessible to a wide audience, regardless of the viewing platform.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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MASTERCLASS CERTIFICATE IN DATA SCIENCE FOR PORTFOLIOS

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London School of International Business (LSIB)

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05 May 2025

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