Rating: 4.2 out of 5
Ready to dive into the world of Machine Learning and Data Science? Look no further than this Python Data Science Master Class! Whether you’re a beginner or have some experience with Python, this course has you covered. Get ready to explore the full data science workflow, from loading and cleaning data to building and evaluating machine learning models. You’ll use popular Python libraries like Jupyter, NumPy, SciPy, and many more to gain a solid understanding of data science and analytics.
Your instructor, Jesper Dramsch, is a machine learning researcher with a background in geophysics and Python programming. Ranked 81st worldwide on the machine learning contest website Kaggle, Jesper has taught Python, machine learning, and data science to students across the globe. Boasting an IBM Data Science certification earned in under 48 hours, you know you’re in great hands with Jesper. Don’t miss out on this incredible opportunity to sharpen your skills in today’s most sought-after fields with a passionate and experienced instructor!
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Skills you’ll learn
- Mastering Python syntax and data science workflow.
- Loading data from various sources such as files and databases.
- Cleaning and preparing data for analysis.
- Exploring and understanding data for better insights.
- Building and evaluating machine learning models.
- Analyzing customer churn and validating models.
- Visualizing data and creating comprehensive reports.
- Gaining proficiency in popular Python libraries such as Jupyter, NumPy, SciPy, Pandas, MatPlotLib, Seaborn, and Scikit-Learn.
Dive into the fascinating world of Data Science and Machine Learning through an engaging course taught by the brilliant Jesper Dramsch, a renowned scientist specializing in machine learning. With 36 well-crafted lessons, you’ll join the enthusiastic community of 3,863 learners who have benefited from this comprehensive guide. Be a part of this highly-rated educational experience, boasting a remarkable 3.3 out of 4 rating.