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Data Science dalam Satu Minggu

Learn Data Science fast! This intensive 1-week course covers essential data science fundamentals. Perfect for busy professionals. Boost your skills quickly.

4.8(86)
371students
9h 54m
Certificate
Louis Owen
Louis OwenAI/Data Scientist

Course Content

Data Science dalam Satu Minggu is a beginner-level Udemy course taught by Louis Owen. It runs 9h 54m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 86 reviews, with 371 students enrolled. It is a paid course, first published May 2023.

Unlock the Power of Data Science: Build Practical Applications Fast!

Are you eager to learn Data Science and create impactful applications quickly and efficiently? Do you lack a background in Data Science and want to enter this promising field with a comprehensive course covering all the essential fundamentals? Or are you an entrepreneur looking to boost business revenue and cut costs with Data Science but need a fast and effective roadmap?

If you answered yes to any of these questions, this Data Science course is designed for you!

Data Science is a rapidly growing and highly rewarding field, widely adopted across industries like banking, healthcare, transportation, and technology. Businesses leverage Data Science to optimize processes, maximize profits, and reduce expenses.

This course delivers essential Data Science knowledge in just one week, using a practical, easy-to-follow, and efficient approach. We go beyond theoretical learning, providing hands-on exercises, quizzes, and capstone projects. Each day includes 1-2 hours of focused learning.

Here's what you'll master:

  • Data Science Fundamentals: Start with a crucial Data Science starter pack, covering the Data Science project lifecycle, what recruiters look for, and available career paths.
  • Exploratory Data Analysis (EDA) & Visualization: Utilize Pandas, Matplotlib, and Seaborn for insightful data exploration and compelling data visualization.
  • Regression Analysis: Learn to build, train, test, and deploy regression models using Scikit Learn.
  • Hyperparameter Optimization: Explore effective optimization strategies like grid search, random search, and Bayesian optimization.
  • Classification Algorithms: Train and implement various classification algorithms including Logistic Regression, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Random Forest Classifier, and Naive Bayes using SageMaker and SK-Learn.
  • AI/ML with AutoPilot: Discover how to prototype and deploy high-performing AI/ML models using AutoGluon.

Who is this course for?

This course is perfect for anyone seeking a solid foundation in Data Science and practical solutions to real-world business problems.

What you'll get:

  • Project-Based Learning: Gain practical experience by building over ten Data Science projects collaboratively.
  • Complete Resources: Access all code and slide materials.
  • Certificate of Completion: Showcase your Data Science skills on LinkedIn to potential employers.
  • Risk-Free Guarantee: Enjoy a 30-day money-back guarantee.

Watch the preview video and outline to get a glimpse of the projects covered.

Enroll now and start applying Data Science skills to your goals!

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