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Python for Machine Learning & Data Science Course

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Python for Machine Learning & Data Science Course

This comprehensive certificate combines Python, data science, and machine learning into one course. You begin with Python fundamentals and gradually build toward advanced skills like predictive modeling and neural networks. Through hands-on projects using tools like Pandas, NumPy, Matplotlib, and TensorFlow, you will gain valuable experience you can use in roles related to data analysis, machine learning, or Python development.

$2,095.00 (USD)

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schedule
                                120 Course Hrs
                            

                                Code
                                    GES3129
                            
calendar_today
                                9 Months
                            
grid_onOpen enrollment
speedSelf paced

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Overview

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.

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 this Python training program, 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 curriculum is structured to help you build confidence in using Python for data analysis and machine learning, even if you have no technical background.

Objective

What you will learn

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

How you will benefit

Advanced your skill set with beginner-friendly Python and data science training, with no experience required
Review lessons focusing on practical skills that employers are looking for when hiring data and machine learning experts
Develop in-demand skills using tools such as Pandas, NumPy, Matplotlib, scikit-learn, and TensorFlow
Apply your newly acquired skills across diverse professional contexts and data-related roles
Use your completed practical projects to boost your professional portfolio and stand out in the job market

Syllabus

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Prerequisites

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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.

What is the average salary of a data scientist?

In 2025, the average salary for a data scientist in the United States 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.

What is the average salary of a Python developer?

In 2025, Python developers in the U.S. earn an average salary ranging 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.

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.

Does this course prepare you for a certification?

No.

How long does it take to complete this course?

After you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.

When can I start this course?

This course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.

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Python for Machine Learning & Data Science Course

Overview

Objective

Syllabus

Requirements

Prerequisites

You've got questions.We're here to help.

Instructor

FAQs

You've got questions.We're here to help.

You've got questions.
We're here to help.

You've got questions.
We're here to help.