Introduction to Data Science

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Introduction to Data Science
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Introduction to Data Science
Introduction to Data Science

Introduction to Data Science

‘- Learn the basics of data analysis and visualization
– Work with Python libraries like NumPy, Pandas, and Matplotlib
– Understand data cleaning and preparation
– Apply statistical concepts to real-world data
– Build simple machine learning models

€99.48

(21 customer reviews)
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Description

Introduction to Data Science

Course Overview:
This course introduces beginners to the data science lifecycle using Python. Learn how to clean, analyze, and visualize data.

What You’ll Learn:
– Data analysis with Pandas and NumPy
– Data visualization with Matplotlib
– EDA and statistics
– Simple machine learning with Scikit-learn

Course Structure:
10 Modules from Python basics to a real-world capstone project.

Duration: ~40 hours

Final Statement:
Complete this course with the ability to extract insights from data and a strong foundation for machine learning or data analysis careers.

21 reviews for Introduction to Data Science

  1. Buhari –

    “This ‘Introduction to Data Science’ was exactly what I needed to get started in this field! The material was presented in a clear, concise manner, and the hands-on exercises using Pandas, NumPy, and Matplotlib really solidified my understanding of data manipulation and visualization. I especially appreciated the step-by-step approach, starting with Python basics and culminating in a capstone project that allowed me to apply everything I learned. Now I feel confident exploring more advanced topics and pursuing a career in data analysis. It gave me the necessary skills and knowledge to extract meaning from data.”

  2. Cosmos –

    “I appreciated the clear and concise explanations of complex topics. The modules progressed logically, building a solid foundation from Python basics to practical applications with Pandas, NumPy, and Matplotlib. I especially enjoyed the hands-on exercises and the final capstone project, which allowed me to apply what I learned to a real-world scenario. I now feel confident in my ability to clean, analyze, and visualize data and have a great starting point for exploring machine learning. This program provided invaluable skills and knowledge.”

  3. Nelson –

    “This ‘Introduction to Data Science’ was fantastic! As someone completely new to the field, I found the modules well-structured and easy to follow. The focus on Python, Pandas, NumPy, and Matplotlib was exactly what I needed to start understanding how to work with data. I especially appreciated the practical capstone project, which allowed me to apply what I learned and feel confident in my ability to extract meaningful insights. It’s a great way to build a strong foundation for further study in machine learning and data analytics.”

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