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We're here to help you find itPython for Data Analytics and Machine Learning Course Overview
The Python for Data Analytics and Machine Learning course is designed to equip learners with the essential skills required to analyze data and build machine learning models using Python. This comprehensive program starts with a Course Introduction to set expectations and outline the learning journey. It progresses through a series of modules beginning with a Jupyter Overview, which is an essential tool for data science.
Learners will get a solid foundation in Python before diving into specialized libraries like Numpy and Pandas for data analysis. Visualization techniques are covered extensively with libraries such as Matplotlib, Seaborn, Plotly, and more. As the course advances, it delves into machine learning topics, starting with an Introduction to Machine Learning and then exploring various algorithms and methods like Linear Regression, Logistic Regression, K Nearest Neighbors, and others.
The course includes practical Data Capstone Projects for hands-on experience, and it concludes with cutting-edge topics such as Neural Nets and Deep Learning and Big Data and Spark with Python. This course is ideal for those looking to enhance their data analytics and machine learning capabilities, providing them with the knowledge and tools to tackle real-world data challenges.
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4-Hour Sessions
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Purchase This Course
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♱ Excluding VAT/GST
Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
USD 199+
USD 19+
USD 59+
♱ Excluding VAT/GST
Flexi FAQ'sFlexi Demo Video
To ensure a productive and successful learning experience in the Python for Data Analytics and Machine Learning course, the following minimum prerequisites are recommended:
No prior experience in data analytics or machine learning is required. The course is designed to take you from the basics of Python programming to advanced data analysis and machine learning techniques.
Koenig Solutions' Python for Data Analytics and Machine Learning course caters to aspiring data professionals seeking practical Python skills.
Gain practical skills in Python for data analytics and machine learning, mastering tools and techniques from basic scripting to advanced algorithms and data visualization methods.