Masterclass Certificate in Applied Data Science Techniques

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The Masterclass Certificate in Applied Data Science Techniques is a comprehensive course designed to equip learners with essential data science skills in high demand across industries. This program covers key topics including Python, machine learning, data visualization, and predictive analytics.

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AboutThisCourse

By completing this course, learners will gain a solid understanding of data science principles and techniques, enabling them to derive valuable insights from complex datasets. The curriculum is designed and taught by industry experts, ensuring students receive relevant, up-to-date training in the field. Upon completion, learners will have a portfolio of projects demonstrating their new skills, giving them a competitive edge in the job market. This certification course is an excellent opportunity for those looking to advance their careers in data science, analytics, or related fields.

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CourseDetails

• Unit 1: Introduction to Applied Data Science Techniques
• Unit 2: Data Preprocessing and Cleaning
• Unit 3: Exploratory Data Analysis (EDA)
• Unit 4: Statistical Analysis and Inference
• Unit 5: Data Visualization
• Unit 6: Machine Learning Fundamentals
• Unit 7: Advanced Machine Learning Techniques
• Unit 8: Deep Learning and Neural Networks
• Unit 9: Big Data Processing with Hadoop and Spark
• Unit 10: Ethical Considerations in Data Science

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
  • ComplementaryFormalQualifications

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CourseFee

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • FullCourseAccess
  • DigitalCertificate
  • CourseMaterials
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MASTERCLASS CERTIFICATE IN APPLIED DATA SCIENCE TECHNIQUES
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London School of International Business (LSIB)
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05 May 2025
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