Python for Machine Learning and Data Science
Learn Fundamentals in Python for ML and Data Science
This Python course is designed for those who want to learn how to work with data from the ground up with no prior coding experience. The course starts by covering the basics of Python programming before moving into more core data science skills like statistical analysis and regression modeling. From there, you will gain hands-on experience building classification models, tuning machine learning algorithms, and even training neural networks using Keras and TensorFlow.
During your training, you will complete practical projects that mirror real-world data workflows, such as employee retention prediction, car pricing models, and image recognition using the MNIST dataset. These projects help reinforce skills and serve as portfolio pieces for job applications. The data science and machine learning training portion of this course is structured to help you build confidence in using Python for data analysis and machine learning, even if you have no technical background.
Job Outlook for Python and Data Science Professionals
- Data scientists and software developers are growing at a rate significantly faster than the average, according to the U.S. Bureau of Labor Statistics, with an average of 200,000 combined annual job openings projected through 2033. Paired with six-figure salaries, now is a great time to join this in-demand industry.
- In 2025, the average salary for a data scientist in the U.S. is between $115,000 and $125,000 per year. Entry-level data scientists typically earn around $80,000 to $95,000, while those with a few years of experience make $105,000 to $130,000. Senior data scientists can earn $140,000 to $175,000 or more, especially in tech-focused cities.
- In the U.S., Python developer salaries range from $82,000 to $117,000 per year. Beginners usually make $56,000 to $80,000, mid-level developers earn about $109,000 to $117,000, and senior Python developers can earn $130,000 or more, depending on their skills and the industry they work in.
Python for Machine Learning and Data Science FAQs
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What is a data scientist?
A data scientist is a professional who uses data to solve problems and help organizations make better decisions. They collect, clean, and analyze large sets of data, often using tools like Python, R, SQL, and machine learning algorithms. Their work helps companies understand trends, predict future outcomes, and improve operations.
Data scientists often work in industries like technology, finance, healthcare, and retail. They need strong skills in statistics, programming, and communication to turn complex data into clear insights.
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What is a Python developer?
A Python developer is a programmer who writes software using the Python programming language. They may work in areas like web development, data analysis, automation, or artificial intelligence. Python developers often build websites, create tools for analyzing data, or develop machine learning models to solve complex problems.
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Does this course prepare you for a certification?
No.
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How long does it take to complete this course?
After you register, you will have nine months to complete the course. The time allotted for completion has been calculated based on the number of course hours.
Course Objectives
- Python fundamentals such as variables, data types, functions, loops, and control flow
- Create and manipulate DataFrames using Pandas and perform exploratory data analysis (EDA)
- Perform linear regression and evaluate models using a train-test split and residuals
- Build and tune k-nearest neighbors models and explore feature scaling and distance metrics
- Train ensemble models like random forests using scikit-learn and practice neural network design in TensorFlow
- Submit predictions to real-world datasets using Kaggle workflows and build professional dashboards
Your First Step Into Python and Machine Learning
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