Python for Data Science & Machine Learning

About the Module

Python is a versatile and powerful programming language that is well-suited for data science and machine learning. Here are a few reasons why you should learn Python at Code Academy Benin City:

  1. Python has a large and active community: Python is one of the most popular programming languages in the world, and it has a large and active community of users. This means that there are many resources available to help you learn and use Python, including libraries, frameworks, and tutorials.

  2. Python has a wide range of libraries and frameworks: Python has a wide range of libraries and frameworks that are specifically designed for data science and machine learning. These libraries and frameworks, such as NumPy, pandas, and scikit-learn, make it easy to perform complex data analysis and machine learning tasks.

  3. Python is easy to learn: Python is known for its simple and easy-to-read syntax, which makes it a great language for beginners. Code Academy Benin City provides the optimal environment to learn python with well experienced instructors, you will be able to quickly pick up the basics of Python and start using it for data science and machine learning projects.

  4. Python is widely used in industry: Python is widely used in industry for a variety of tasks, including data analysis, machine learning, and web development. As you learn Python at Code Academy Benin City, you will be learning a skill that is in high demand in the job market, and that will open up many opportunities for you in the future.

Overall, learning Python at Code Academy Benin City is a great choice for anyone interested in data science and machine learning. The resources available, the community, the simplicity, and the wide range of libraries and frameworks make it a powerful tool for these fields, and it's widespread use in industry can be a good opportunity to develop a career in the field.

Module Information

Duration2 months
Amount

₦80,000

Location

Syllabus

  • Introduction to Python programming language and its use in data science and machine learning.

  • Basic programming concepts in Python, including variables, data types, control structures, and functions.

  • Introduction to NumPy, a powerful library for numerical computing in Python, and its use in handling arrays and matrices of data.

  • Introduction to pandas, a library for data manipulation and analysis, and its use in working with tabular data.

  • Data visualization in Python using libraries such as matplotlib and seaborn.

  • Introduction to scikit-learn, a popular library for machine learning in Python, and its use in building models, training and evaluating them.

  • Advanced topics in Python for data science, such as natural language processing, computer vision and deep learning.

  • Hands-on case studies and projects to apply the concepts learned and develop a strong understanding of the tools and techniques used in data science and machine learning.