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“The lessons were interesting with daily quizzes to help learners recap the topic. Learning new concepts such as Python can be overwhelming for beginners like me but the instructor was able to break down the information into digestible chunks.”

Shirley Pek
  • Professional Certificate
  • Beginner-friendly Curriculum
  • 100% Online, Live Guided Learning
  • Earn A Certification In Just 8 Lessons
  • Learn Hands-On, Industry Relevant Skills
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Data Science Course Fees

Course Fees: USD$4,500

Lesson 1 (Data Science Course)
  • What is data science and why is it important?
  • Data science project cycles
  • A must-read use case of data science
  • Data science in financial services
  • Advanced skills required for data science
  • Anaconda & Jupyter & Environment
Lesson 2 (Data Science Course)
  • Python with Jupyter
  • Statistics
  • Advanced data types, variables, and functions
  • Commonly used Python Packages
Lesson 3 (Data Science Course)
  • What is machine learning and the importance of machine learning
  • Life with machine learning
  • Supervised vs. Unsupervised algorithms
  • Ensemble learning
Lesson 4 (Data Science Course)
  • Defining Problem Statement
  • Advanced data collection
  • Exploratory data analysis (EDA)
Lesson 5 (Data Science Course)
  • Model development process
  • Training, testing, and validation set
  • Building machine learning pipelines with Python
  • Advanced Model evaluation metrics
  • Dealing with imbalanced classification
Lesson 6 (Data Science Course)
  • How to choose the appropriate model
  • What is the bias-variance trade-off?
  • How to avoid overfitting?
  • Hyperparameter tuning
Lesson 7 (Data Science Course)
  • Model interpretation
  • Different model interpretation techniques 
  • Model deployment & monitoring
  • Model retrain & refresh
Lesson 8 (Data Science Course)
  • Multimedia Data: Text, Image, Audio, and Video
  • Natural Language Processing (NLP) and Computer Vision (CV)
  • Recommendation system
  • Careers in data science 
  • Recommended learning materials

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